{ "schema_version": "CLC-derivation-ledger-v5.7", "model_id": "CLC-v5.9-global-detail-1", "reviewed_at": "2026-09-29", "scope": "All six published core components for 47 cities.", "important_limitation": "Raw source observations do not always match the published persona. The normalized mode is a documented research judgment, not an automated copy of a source or competitor number. Once normalized low/mode/high anchors are set, the downstream total simulation is mechanically reproducible.", "persona": { "id": "solo_adult_v1", "adults": 1, "children": 0, "car": false, "housing": "Long-term 1-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "lifestyle": "Moderate non-luxury" }, "downstream_total_method": { "component_distribution": "triangular(low, mode, high)", "correlation_scenarios": [ 0.0, 0.35, 0.7 ], "correlation_note": "Equicorrelation sensitivity scenarios; 0.35 is not claimed as calibrated.", "public_band": "outer minimum P15 and maximum P85 across scenarios", "model_midpoint": "P50 from rho=0.35 sensitivity scenario, rounded for public display", "rebuild_script": "audit/tools/rebuild_model_totals.py" }, "records": [ { "city": "Delhi", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "INR", "normalized_range": { "low": 15400, "mode": 22000, "high": 28600 }, "source_refs": [ "delhi_rent" ], "source_evidence": [ { "source_id": "delhi_rent", "publisher": "Housing.com", "title": "Current 1BHK asking-rent market evidence", "observation_period": "2026-09", "geography": "Delhi / Sarita Vihar sample", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "housing_com", "observation_summary": "Current 1BHK asking-rent market evidence — used as rent evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 22000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: delhi_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Delhi", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "INR", "normalized_range": { "low": 2800, "mode": 4000, "high": 5500 }, "source_refs": [ "delhi_household" ], "source_evidence": [ { "source_id": "delhi_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / state-urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: delhi_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.375, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Delhi", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "INR", "normalized_range": { "low": 6300, "mode": 9000, "high": 12000 }, "source_refs": [ "delhi_household" ], "source_evidence": [ { "source_id": "delhi_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / state-urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 9000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: delhi_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Delhi", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "INR", "normalized_range": { "low": 2500, "mode": 4000, "high": 6000 }, "source_refs": [ "delhi_household" ], "source_evidence": [ { "source_id": "delhi_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / state-urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: delhi_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Delhi", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "INR", "normalized_range": { "low": 1200, "mode": 2000, "high": 3000 }, "source_refs": [ "delhi_transit" ], "source_evidence": [ { "source_id": "delhi_transit", "publisher": "Metro2Go", "title": "Delhi Metro fare table based on current DMRC fares", "observation_period": "2026", "geography": "Delhi Metro", "role": "transit", "quality_score": 1, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "metro2go", "observation_summary": "Delhi Metro fare table based on current DMRC fares — used as transit evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: delhi_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Delhi", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "INR", "normalized_range": { "low": 1500, "mode": 2500, "high": 4000 }, "source_refs": [ "delhi_household" ], "source_evidence": [ { "source_id": "delhi_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / state-urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Delhi. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: delhi_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CNY", "normalized_range": { "low": 2730, "mode": 3900, "high": 5070 }, "source_refs": [ "shanghai_rent" ], "source_evidence": [ { "source_id": "shanghai_rent", "publisher": "CREPRICE", "title": "Shanghai residential-rent index", "observation_period": "2026-06", "geography": "Shanghai", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "creprice", "observation_summary": "Shanghai residential-rent index — used as rent evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3900, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: shanghai_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CNY", "normalized_range": { "low": 385.0, "mode": 550.0, "high": 750.0 }, "source_refs": [ "shanghai_household" ], "source_evidence": [ { "source_id": "shanghai_household", "publisher": "Shanghai Municipal Statistics", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Shanghai", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "shanghai_municipal_statistics", "observation_summary": "Resident income and consumption release — used as household evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 550.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: shanghai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3636, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CNY", "normalized_range": { "low": 910.0, "mode": 1300, "high": 1700 }, "source_refs": [ "shanghai_household" ], "source_evidence": [ { "source_id": "shanghai_household", "publisher": "Shanghai Municipal Statistics", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Shanghai", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "shanghai_municipal_statistics", "observation_summary": "Resident income and consumption release — used as household evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1300, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: shanghai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3077, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CNY", "normalized_range": { "low": 500.0, "mode": 800.0, "high": 1200 }, "source_refs": [ "shanghai_household" ], "source_evidence": [ { "source_id": "shanghai_household", "publisher": "Shanghai Municipal Statistics", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Shanghai", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "shanghai_municipal_statistics", "observation_summary": "Resident income and consumption release — used as household evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 800.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: shanghai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CNY", "normalized_range": { "low": 150.0, "mode": 250.0, "high": 400.0 }, "source_refs": [ "shanghai_transit" ], "source_evidence": [ { "source_id": "shanghai_transit", "publisher": "Shanghai Municipal Government", "title": "Public transport / Metro fare guidance", "observation_period": "2026-08", "geography": "Shanghai", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "shanghai_municipal_government", "observation_summary": "Public transport / Metro fare guidance — used as transit evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: shanghai_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Shanghai", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CNY", "normalized_range": { "low": 250.0, "mode": 400.0, "high": 650.0 }, "source_refs": [ "shanghai_household" ], "source_evidence": [ { "source_id": "shanghai_household", "publisher": "Shanghai Municipal Statistics", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Shanghai", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "shanghai_municipal_statistics", "observation_summary": "Resident income and consumption release — used as household evidence for Shanghai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: shanghai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.625, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CNY", "normalized_range": { "low": 2520, "mode": 3600, "high": 4680 }, "source_refs": [ "beijing_rent" ], "source_evidence": [ { "source_id": "beijing_rent", "publisher": "CREPRICE", "title": "Beijing residential-rent index", "observation_period": "2026-07", "geography": "Beijing", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "creprice", "observation_summary": "Beijing residential-rent index — used as rent evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3600, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: beijing_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CNY", "normalized_range": { "low": 385.0, "mode": 550.0, "high": 750.0 }, "source_refs": [ "beijing_household" ], "source_evidence": [ { "source_id": "beijing_household", "publisher": "Beijing Municipal Government", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Beijing", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "beijing_municipal_government", "observation_summary": "Resident income and consumption release — used as household evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 550.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: beijing_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3636, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CNY", "normalized_range": { "low": 875.0, "mode": 1250, "high": 1650 }, "source_refs": [ "beijing_household" ], "source_evidence": [ { "source_id": "beijing_household", "publisher": "Beijing Municipal Government", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Beijing", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "beijing_municipal_government", "observation_summary": "Resident income and consumption release — used as household evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1250, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: beijing_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.32, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CNY", "normalized_range": { "low": 500.0, "mode": 800.0, "high": 1200 }, "source_refs": [ "beijing_household" ], "source_evidence": [ { "source_id": "beijing_household", "publisher": "Beijing Municipal Government", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Beijing", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "beijing_municipal_government", "observation_summary": "Resident income and consumption release — used as household evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 800.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: beijing_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CNY", "normalized_range": { "low": 150.0, "mode": 250.0, "high": 400.0 }, "source_refs": [ "beijing_transit" ], "source_evidence": [ { "source_id": "beijing_transit", "publisher": "Beijing Municipal Government", "title": "Subway fare notice for passengers", "observation_period": "2025-04", "geography": "Beijing", "role": "transit", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "beijing_municipal_government", "observation_summary": "Subway fare notice for passengers — used as transit evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: beijing_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Beijing", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CNY", "normalized_range": { "low": 250.0, "mode": 400.0, "high": 650.0 }, "source_refs": [ "beijing_household" ], "source_evidence": [ { "source_id": "beijing_household", "publisher": "Beijing Municipal Government", "title": "Resident income and consumption release", "observation_period": "2025", "geography": "Beijing", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "beijing_municipal_government", "observation_summary": "Resident income and consumption release — used as household evidence for Beijing. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: beijing_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.625, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "BDT", "normalized_range": { "low": 12000, "mode": 18000, "high": 28000 }, "source_refs": [ "dhaka_rent" ], "source_evidence": [ { "source_id": "dhaka_rent", "publisher": "Bikroy", "title": "Current Dhaka 1-bedroom rental listings", "observation_period": "2026-09", "geography": "Dhaka", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "bikroy", "observation_summary": "Current Dhaka 1-bedroom rental listings — used as rent evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 18000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: dhaka_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5556, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "BDT", "normalized_range": { "low": 4000, "mode": 6000, "high": 9000 }, "source_refs": [ "dhaka_household" ], "source_evidence": [ { "source_id": "dhaka_household", "publisher": "Bangladesh Bureau of Statistics", "title": "Household Income and Expenditure Survey 2022 — Final Report", "observation_period": "2022", "geography": "Dhaka Division tables plus national urban household tables", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 2, "independence_cluster": "bangladesh_bureau_of_statistics", "observation_summary": "Household Income and Expenditure Survey 2022 — Final Report — used as household evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 6000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: dhaka_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "BDT", "normalized_range": { "low": 8400, "mode": 12000, "high": 16000 }, "source_refs": [ "dhaka_household" ], "source_evidence": [ { "source_id": "dhaka_household", "publisher": "Bangladesh Bureau of Statistics", "title": "Household Income and Expenditure Survey 2022 — Final Report", "observation_period": "2022", "geography": "Dhaka Division tables plus national urban household tables", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 2, "independence_cluster": "bangladesh_bureau_of_statistics", "observation_summary": "Household Income and Expenditure Survey 2022 — Final Report — used as household evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: dhaka_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "BDT", "normalized_range": { "low": 3000, "mode": 5000, "high": 8000 }, "source_refs": [ "dhaka_household" ], "source_evidence": [ { "source_id": "dhaka_household", "publisher": "Bangladesh Bureau of Statistics", "title": "Household Income and Expenditure Survey 2022 — Final Report", "observation_period": "2022", "geography": "Dhaka Division tables plus national urban household tables", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 2, "independence_cluster": "bangladesh_bureau_of_statistics", "observation_summary": "Household Income and Expenditure Survey 2022 — Final Report — used as household evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: dhaka_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "stable", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "BDT", "normalized_range": { "low": 2000, "mode": 3500, "high": 6000 }, "source_refs": [ "dhaka_transit" ], "source_evidence": [ { "source_id": "dhaka_transit", "publisher": "Dhaka Mass Transit Company Limited", "title": "Metro fare information", "observation_period": "2026", "geography": "Dhaka Metro", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "dhaka_mass_transit_company_limited", "observation_summary": "Metro fare information — used as transit evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3500, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: dhaka_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.5714, "high_as_fraction_of_mode": 1.7143, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dhaka", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "BDT", "normalized_range": { "low": 2000, "mode": 3000, "high": 5000 }, "source_refs": [ "dhaka_household" ], "source_evidence": [ { "source_id": "dhaka_household", "publisher": "Bangladesh Bureau of Statistics", "title": "Household Income and Expenditure Survey 2022 — Final Report", "observation_period": "2022", "geography": "Dhaka Division tables plus national urban household tables", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 2, "independence_cluster": "bangladesh_bureau_of_statistics", "observation_summary": "Household Income and Expenditure Survey 2022 — Final Report — used as household evidence for Dhaka. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: dhaka_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.6667, "volatility_class": "stable", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "TRY", "normalized_range": { "low": 22400, "mode": 32000, "high": 45500 }, "source_refs": [ "istanbul_rent" ], "source_evidence": [ { "source_id": "istanbul_rent", "publisher": "Emlakjet / Endeksa", "title": "Istanbul residential rent market report", "observation_period": "2026-08", "geography": "Istanbul", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "emlakjet_endeksa", "observation_summary": "Istanbul residential rent market report — used as rent evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 32000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: istanbul_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4219, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "TRY", "normalized_range": { "low": 3000, "mode": 4500, "high": 7000 }, "source_refs": [ "istanbul_household" ], "source_evidence": [ { "source_id": "istanbul_household", "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)", "title": "Household Consumption Expenditures 2025", "observation_period": "2025", "geography": "Türkiye; household-size tables include one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "turkstat", "observation_summary": "Household Consumption Expenditures 2025 — used as household evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4500, "rationale": "CLC normalized model estimate using current TurkStat 2025 household-size/category shares as household calibration plus the cited city/official evidence; single-family uncertainty floor retained because the household source is national rather than Istanbul-specific.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5556, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "TRY", "normalized_range": { "low": 7700, "mode": 11000, "high": 15000 }, "source_refs": [ "istanbul_household" ], "source_evidence": [ { "source_id": "istanbul_household", "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)", "title": "Household Consumption Expenditures 2025", "observation_period": "2025", "geography": "Türkiye; household-size tables include one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "turkstat", "observation_summary": "Household Consumption Expenditures 2025 — used as household evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 11000, "rationale": "CLC normalized model estimate using current TurkStat 2025 household-size/category shares as household calibration plus the cited city/official evidence; single-family uncertainty floor retained because the household source is national rather than Istanbul-specific.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3636, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "TRY", "normalized_range": { "low": 3500, "mode": 5500, "high": 8500 }, "source_refs": [ "istanbul_household" ], "source_evidence": [ { "source_id": "istanbul_household", "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)", "title": "Household Consumption Expenditures 2025", "observation_period": "2025", "geography": "Türkiye; household-size tables include one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "turkstat", "observation_summary": "Household Consumption Expenditures 2025 — used as household evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5500, "rationale": "CLC normalized model estimate using current TurkStat 2025 household-size/category shares as household calibration plus the cited city/official evidence; single-family uncertainty floor retained because the household source is national rather than Istanbul-specific.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6364, "high_as_fraction_of_mode": 1.5455, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "TRY", "normalized_range": { "low": 2500, "mode": 3630, "high": 4500 }, "source_refs": [ "istanbul_transit" ], "source_evidence": [ { "source_id": "istanbul_transit", "publisher": "Istanbul Metropolitan Municipality TUHIM", "title": "Public-transport fare tariffs", "observation_period": "2026", "geography": "Istanbul", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "istanbul_metropolitan_municipality_tuhim", "observation_summary": "Public-transport fare tariffs — used as transit evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3630, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: istanbul_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6887, "high_as_fraction_of_mode": 1.2397, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Istanbul", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "TRY", "normalized_range": { "low": 2000, "mode": 3500, "high": 5500 }, "source_refs": [ "istanbul_household" ], "source_evidence": [ { "source_id": "istanbul_household", "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)", "title": "Household Consumption Expenditures 2025", "observation_period": "2025", "geography": "Türkiye; household-size tables include one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "turkstat", "observation_summary": "Household Consumption Expenditures 2025 — used as household evidence for Istanbul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3500, "rationale": "CLC normalized model estimate using current TurkStat 2025 household-size/category shares as household calibration plus the cited city/official evidence; single-family uncertainty floor retained because the household source is national rather than Istanbul-specific.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.5714, "high_as_fraction_of_mode": 1.5714, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "INR", "normalized_range": { "low": 28700, "mode": 41000, "high": 53300 }, "source_refs": [ "mumbai_rent" ], "source_evidence": [ { "source_id": "mumbai_rent", "publisher": "Housing.com", "title": "Current Mumbai 1BHK asking-rent listings", "observation_period": "2026-09", "geography": "Mumbai", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "housing_com", "observation_summary": "Current Mumbai 1BHK asking-rent listings — used as rent evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 41000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: mumbai_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "INR", "normalized_range": { "low": 3000, "mode": 4500, "high": 6000 }, "source_refs": [ "mumbai_household" ], "source_evidence": [ { "source_id": "mumbai_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / Maharashtra urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4500, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: mumbai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "INR", "normalized_range": { "low": 8400, "mode": 12000, "high": 16000 }, "source_refs": [ "mumbai_household" ], "source_evidence": [ { "source_id": "mumbai_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / Maharashtra urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: mumbai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "INR", "normalized_range": { "low": 3500, "mode": 5500, "high": 8000 }, "source_refs": [ "mumbai_household" ], "source_evidence": [ { "source_id": "mumbai_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / Maharashtra urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5500, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: mumbai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6364, "high_as_fraction_of_mode": 1.4545, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "INR", "normalized_range": { "low": 1000, "mode": 2000, "high": 3500 }, "source_refs": [ "mumbai_transit" ], "source_evidence": [ { "source_id": "mumbai_transit", "publisher": "Reliance Mumbai Metro", "title": "Mumbai Metro fares", "observation_period": "2026", "geography": "Mumbai", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "reliance_mumbai_metro", "observation_summary": "Mumbai Metro fares — used as transit evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: mumbai_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.5, "high_as_fraction_of_mode": 1.75, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mumbai", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "INR", "normalized_range": { "low": 2000, "mode": 3000, "high": 5000 }, "source_refs": [ "mumbai_household" ], "source_evidence": [ { "source_id": "mumbai_household", "publisher": "MoSPI", "title": "Government household-consumption survey", "observation_period": "2023-24", "geography": "India / Maharashtra urban tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "mospi", "observation_summary": "Government household-consumption survey — used as household evidence for Mumbai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: mumbai_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.6667, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "NGN", "normalized_range": { "low": 154000, "mode": 220000, "high": 325000 }, "source_refs": [ "lagos_rent" ], "source_evidence": [ { "source_id": "lagos_rent", "publisher": "Nigeria Property Centre", "title": "Lagos 1-bedroom rental market trends", "observation_period": "2026-09", "geography": "Lagos", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "nigeria_property_centre", "observation_summary": "Lagos 1-bedroom rental market trends — used as rent evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: lagos_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4773, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "NGN", "normalized_range": { "low": 90000, "mode": 150000, "high": 250000 }, "source_refs": [ "lagos_household" ], "source_evidence": [ { "source_id": "lagos_household", "publisher": "National Bureau of Statistics Nigeria", "title": "General Household Survey 2023/24", "observation_period": "2023-24", "geography": "Nigeria / urban household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "national_bureau_of_statistics_nigeria", "observation_summary": "General Household Survey 2023/24 — used as household evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: lagos_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6667, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "NGN", "normalized_range": { "low": 160000, "mode": 230000, "high": 340000 }, "source_refs": [ "lagos_household", "lagos_ghs_panel_state_filter_2023_24" ], "source_evidence": [ { "source_id": "lagos_household", "publisher": "National Bureau of Statistics Nigeria", "title": "General Household Survey 2023/24", "observation_period": "2023-24", "geography": "Nigeria / urban household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "national_bureau_of_statistics_nigeria", "observation_summary": "General Household Survey 2023/24 — used as household evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "lagos_ghs_panel_state_filter_2023_24", "publisher": "National Bureau of Statistics Nigeria / World Bank LSMS", "title": "GHS-Panel Wave 5 2023-24 — state-coded household expenditure microdata", "observation_period": "2023-24", "geography": "Nigeria; Lagos state code is present, but survey design is nationally and zonally representative rather than Lagos-state representative", "role": "household_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "national_bureau_of_statistics_nigeria", "observation_summary": "The files contain state, urban/rural, food and non-food expenditure variables. Lagos is code 24. Because the published design guarantees national/zonal—not state-level—representativeness, Lagos-filtered values are calibration evidence only and do not independently determine the production total.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 230000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: lagos_household, lagos_ghs_panel_state_filter_2023_24. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6957, "high_as_fraction_of_mode": 1.4783, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "NGN", "normalized_range": { "low": 60000, "mode": 100000, "high": 160000 }, "source_refs": [ "lagos_household" ], "source_evidence": [ { "source_id": "lagos_household", "publisher": "National Bureau of Statistics Nigeria", "title": "General Household Survey 2023/24", "observation_period": "2023-24", "geography": "Nigeria / urban household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "national_bureau_of_statistics_nigeria", "observation_summary": "General Household Survey 2023/24 — used as household evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 100000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: lagos_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "stable", "confidence": "Low", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "NGN", "normalized_range": { "low": 60000, "mode": 100000, "high": 180000 }, "source_refs": [ "lagos_transit" ], "source_evidence": [ { "source_id": "lagos_transit", "publisher": "LAMATA", "title": "Lagos regulated bus fares", "observation_period": "2026", "geography": "Lagos", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "lamata", "observation_summary": "Lagos regulated bus fares — used as transit evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 100000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: lagos_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.8, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lagos", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "NGN", "normalized_range": { "low": 40000, "mode": 70000, "high": 120000 }, "source_refs": [ "lagos_household" ], "source_evidence": [ { "source_id": "lagos_household", "publisher": "National Bureau of Statistics Nigeria", "title": "General Household Survey 2023/24", "observation_period": "2023-24", "geography": "Nigeria / urban household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "national_bureau_of_statistics_nigeria", "observation_summary": "General Household Survey 2023/24 — used as household evidence for Lagos. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 70000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: lagos_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.5714, "high_as_fraction_of_mode": 1.7143, "volatility_class": "stable", "confidence": "Low", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Tokyo", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "JPY", "normalized_range": { "low": 112000, "mode": 160000, "high": 208000 }, "source_refs": [ "tokyo_rent" ], "source_evidence": [ { "source_id": "tokyo_rent", "publisher": "AtHome", "title": "Tokyo 23-ward residential asking-rent series", "observation_period": "2026-07", "geography": "Tokyo 23 wards", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "athome", "observation_summary": "Tokyo 23-ward residential asking-rent series — used as rent evidence for Tokyo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 160000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: tokyo_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Tokyo", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "JPY", "normalized_range": { "low": 16100, "mode": 23000, "high": 30000 }, "source_refs": [ "tokyo_household", "tokyo_tepco_standard_s_2026", "tokyo_tepco_2026_09", "tokyo_water_2026", "tokyo_sewer_2026", "tokyo_ntt_flets_2026", "tokyo_docomo_mobile_2026" ], "source_evidence": [ { "source_id": "tokyo_household", "publisher": "Statistics Bureau of Japan", "title": "Family Income and Expenditure Survey 2025", "observation_period": "2025", "geography": "Japan / one-person tables and Tokyo checks", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_bureau_of_japan", "observation_summary": "Family Income and Expenditure Survey 2025 — used as household evidence for Tokyo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "tokyo_tepco_standard_s_2026", "city": "Tokyo", "role": "utilities_energy_water", "publisher": "TEPCO Energy Partner", "title": "Standard S tariff — Kanto", "url": "https://www.tepco.co.jp/ep/private/plan/standard/kanto/index-j.html", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Tokyo / Kanto service area", "source_type": "operator", "geography_match": "utility_service_area", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "tepco_energy_partner", "upstream_dataset": "Standard S tariff — Kanto", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Standard S: 30A base ¥935.25/month; first 120kWh ¥29.80/kWh; 121–300kWh ¥36.40/kWh; renewable-energy levy is additional.", "observation_values": [ { "metric": "30A base charge", "value": 935.25, "unit": "JPY/month" }, { "metric": "first 120kWh energy rate", "value": 29.8, "unit": "JPY/kWh" }, { "metric": "121-300kWh energy rate", "value": 36.4, "unit": "JPY/kWh" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "tokyo_tepco_2026_09", "city": "Tokyo", "role": "utilities_energy_water", "publisher": "TEPCO Power Grid", "title": "Fuel cost adjustment — September 2026", "url": "https://www4.tepco.co.jp/pg/consignment/liberalization/kyoukyusya/past/202609.html", "observation_period": "September 2026", "retrieved_at": "2026-09-24", "geography": "Tokyo/TEPCO low-voltage area", "source_type": "official", "geography_match": "utility_service_area", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "tepco_power_grid", "upstream_dataset": "Fuel cost adjustment — September 2026", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "September 2026 low-voltage fuel-cost adjustment is -¥10.96/kWh.", "observation_values": [ { "metric": "fuel adjustment", "value": -10.96, "unit": "JPY/kWh" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "tokyo_water_2026", "city": "Tokyo", "role": "utilities_energy_water", "publisher": "Tokyo Metropolitan Government Bureau of Waterworks", "title": "Water rates", "url": "https://www.waterworks.metro.tokyo.lg.jp/tetsuduki/ryokin/keisan_23", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Tokyo 23 wards", "source_type": "official", "geography_match": "city_system", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "tokyo_metropolitan_government_bureau_of_waterworks", "upstream_dataset": "Water rates", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Tokyo water-rate schedule used to derive a 20m³/month benchmark of approximately ¥2,816 including tax for a standard small meter.", "observation_values": [ { "metric": "20m3 water benchmark", "value": 2816, "unit": "JPY/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "tokyo_sewer_2026", "city": "Tokyo", "role": "utilities_energy_water", "publisher": "Tokyo Metropolitan Government Bureau of Sewerage", "title": "Sewerage fee calculator", "url": "https://www.gesui.metro.tokyo.lg.jp/living/fee/keisan/jidou", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Tokyo 23 wards", "source_type": "official", "geography_match": "city_system", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "tokyo_metropolitan_government_bureau_of_sewerage", "upstream_dataset": "Sewerage fee calculator", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Official example: 20m³/month sewerage charge is ¥2,068 including tax.", "observation_values": [ { "metric": "20m3 sewerage charge", "value": 2068, "unit": "JPY/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "tokyo_ntt_flets_2026", "city": "Tokyo", "role": "internet", "publisher": "NTT East", "title": "FLET’S Hikari Next apartment pricing", "url": "https://flets.com/flets-hikari/next/highspeed/mn/lan.html", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Tokyo / NTT East area", "source_type": "operator", "geography_match": "operator_service_area", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "ntt_east", "upstream_dataset": "FLET’S Hikari Next apartment pricing", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Apartment Plan 2 base ¥3,355/month plus provider service from about ¥550; total reference from ¥3,905/month.", "observation_values": [ { "metric": "Plan 2 + provider minimum", "value": 3905, "unit": "JPY/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "tokyo_docomo_mobile_2026", "city": "Tokyo", "role": "mobile", "publisher": "NTT DOCOMO", "title": "docomo Poikatsu 20", "url": "https://www.docomo.ne.jp/charge/docomo_poikatsu_20/", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Japan", "source_type": "operator", "geography_match": "national_operator", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "ntt_docomo", "upstream_dataset": "docomo Poikatsu 20", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Up to 20GB base monthly price ¥7,898; with specified bundle/payment discounts ¥4,818; points can reduce effective outlay further but are not treated as base price.", "observation_values": [ { "metric": "<=20GB discounted reference", "value": 4818, "unit": "JPY/month" }, { "metric": "<=20GB base price", "value": 7898, "unit": "JPY/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 23000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: tokyo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3043, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Tokyo", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "JPY", "normalized_range": { "low": 31500, "mode": 45000, "high": 58500 }, "source_refs": [ "tokyo_household" ], "source_evidence": [ { "source_id": "tokyo_household", "publisher": "Statistics Bureau of Japan", "title": "Family Income and Expenditure Survey 2025", "observation_period": "2025", "geography": "Japan / one-person tables and Tokyo checks", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_bureau_of_japan", "observation_summary": "Family Income and Expenditure Survey 2025 — used as household evidence for Tokyo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 45000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: tokyo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Tokyo", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "JPY", "normalized_range": { "low": 12000, "mode": 18000, "high": 28000 }, "source_refs": [ "tokyo_household" ], "source_evidence": [ { "source_id": "tokyo_household", "publisher": "Statistics Bureau of Japan", "title": "Family Income and Expenditure Survey 2025", "observation_period": "2025", "geography": "Japan / one-person tables and Tokyo checks", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_bureau_of_japan", "observation_summary": "Family Income and Expenditure Survey 2025 — used as household evidence for Tokyo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 18000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: tokyo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5556, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Tokyo", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "JPY", "normalized_range": { "low": 8000, "mode": 12000, "high": 16000 }, "source_refs": [ "tokyo_transit" ], "source_evidence": [ { "source_id": "tokyo_transit", "city": "Tokyo", "role": "transit", "publisher": "Tokyo Metro", "title": "Regular ticket / fare information", "url": "https://www.tokyometro.jp/lang_en/ticket/types/regular/index.html", "observation_period": "2026", "retrieved_at": "2026-09-29", "geography": "Tokyo", "source_type": "operator", "geography_match": "city", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "tokyo_metro", "upstream_dataset": "Regular ticket / fare information", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "Tokyo Metro current distance-based ticket and IC-card fare schedule. Monthly CLC transit is a normalized commuter budget, not a monthly pass quote.", "observation_values": [ { "metric": "regular ticket fare range", "low": 180, "high": 330, "unit": "JPY/ride", "period": "current 2026" }, { "metric": "IC card fare range", "low": 178, "high": 324, "unit": "JPY/ride", "period": "current 2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: tokyo_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.3333, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Tokyo", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "JPY", "normalized_range": { "low": 8000, "mode": 12000, "high": 18000 }, "source_refs": [ "tokyo_household" ], "source_evidence": [ { "source_id": "tokyo_household", "publisher": "Statistics Bureau of Japan", "title": "Family Income and Expenditure Survey 2025", "observation_period": "2025", "geography": "Japan / one-person tables and Tokyo checks", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_bureau_of_japan", "observation_summary": "Family Income and Expenditure Survey 2025 — used as household evidence for Tokyo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: tokyo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "BRL", "normalized_range": { "low": 1750, "mode": 2500, "high": 3250 }, "source_refs": [ "s_o_paulo_rent" ], "source_evidence": [ { "source_id": "s_o_paulo_rent", "publisher": "FipeZAP", "title": "Residential rental index", "observation_period": "2026", "geography": "São Paulo", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "fipezap", "observation_summary": "Residential rental index — used as rent evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: s_o_paulo_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "BRL", "normalized_range": { "low": 420.0, "mode": 600.0, "high": 800.0 }, "source_refs": [ "s_o_paulo_household" ], "source_evidence": [ { "source_id": "s_o_paulo_household", "publisher": "Fipe IPC", "title": "São Paulo Consumer Price Index / household basket", "observation_period": "2026", "geography": "São Paulo", "role": "household", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "fipe_ipc", "observation_summary": "São Paulo Consumer Price Index / household basket — used as household evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 600.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: s_o_paulo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "BRL", "normalized_range": { "low": 630.0, "mode": 900.0, "high": 1200 }, "source_refs": [ "s_o_paulo_household" ], "source_evidence": [ { "source_id": "s_o_paulo_household", "publisher": "Fipe IPC", "title": "São Paulo Consumer Price Index / household basket", "observation_period": "2026", "geography": "São Paulo", "role": "household", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "fipe_ipc", "observation_summary": "São Paulo Consumer Price Index / household basket — used as household evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 900.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: s_o_paulo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "BRL", "normalized_range": { "low": 350.0, "mode": 500.0, "high": 750.0 }, "source_refs": [ "s_o_paulo_household" ], "source_evidence": [ { "source_id": "s_o_paulo_household", "publisher": "Fipe IPC", "title": "São Paulo Consumer Price Index / household basket", "observation_period": "2026", "geography": "São Paulo", "role": "household", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "fipe_ipc", "observation_summary": "São Paulo Consumer Price Index / household basket — used as household evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: s_o_paulo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "BRL", "normalized_range": { "low": 250.0, "mode": 350.0, "high": 500.0 }, "source_refs": [ "s_o_paulo_transit" ], "source_evidence": [ { "source_id": "s_o_paulo_transit", "publisher": "SPTrans", "title": "São Paulo public transport fares", "observation_period": "2026", "geography": "São Paulo", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "sptrans", "observation_summary": "São Paulo public transport fares — used as transit evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: s_o_paulo_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7143, "high_as_fraction_of_mode": 1.4286, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "São Paulo", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "BRL", "normalized_range": { "low": 250.0, "mode": 350.0, "high": 500.0 }, "source_refs": [ "s_o_paulo_household" ], "source_evidence": [ { "source_id": "s_o_paulo_household", "publisher": "Fipe IPC", "title": "São Paulo Consumer Price Index / household basket", "observation_period": "2026", "geography": "São Paulo", "role": "household", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "fipe_ipc", "observation_summary": "São Paulo Consumer Price Index / household basket — used as household evidence for São Paulo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: s_o_paulo_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7143, "high_as_fraction_of_mode": 1.4286, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "IDR", "normalized_range": { "low": 2940000, "mode": 4200000, "high": 6000000 }, "source_refs": [ "jakarta_rent", "jakarta_rent_cipinang_99co_q3_2026" ], "source_evidence": [ { "source_id": "jakarta_rent", "publisher": "Cushman & Wakefield", "title": "Jakarta rental-apartment market Q1 2026", "observation_period": "2026-Q1", "geography": "Jakarta", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "cushman_wakefield", "observation_summary": "Jakarta rental-apartment market Q1 2026 — used as rent evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "jakarta_rent_cipinang_99co_q3_2026", "publisher": "99.co Indonesia", "title": "Cipinang, East Jakarta monthly apartment rent market trend", "observation_period": "2026-Q3", "geography": "Cipinang, East Jakarta — non-prime transit-connected submarket", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "99co_indonesia", "observation_summary": "Q3 2026 market trend shows about Rp4.17m/month with median listed area about 34 m². Used as a non-prime calibration alongside the broader apartment-market source; it supports the existing Rp4.2m model midpoint without forcing a change.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4200000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: jakarta_rent, jakarta_rent_cipinang_99co_q3_2026. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4286, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "IDR", "normalized_range": { "low": 800000, "mode": 1200000, "high": 1800000 }, "source_refs": [ "jakarta_household" ], "source_evidence": [ { "source_id": "jakarta_household", "publisher": "BPS DKI Jakarta", "title": "Population Consumption Patterns 2025", "observation_period": "2025", "geography": "DKI Jakarta", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "bps_dki_jakarta", "observation_summary": "Population Consumption Patterns 2025 — used as household evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1200000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: jakarta_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "IDR", "normalized_range": { "low": 1050000, "mode": 1500000, "high": 2000000 }, "source_refs": [ "jakarta_household" ], "source_evidence": [ { "source_id": "jakarta_household", "publisher": "BPS DKI Jakarta", "title": "Population Consumption Patterns 2025", "observation_period": "2025", "geography": "DKI Jakarta", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "bps_dki_jakarta", "observation_summary": "Population Consumption Patterns 2025 — used as household evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: jakarta_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "IDR", "normalized_range": { "low": 500000, "mode": 800000, "high": 1200000 }, "source_refs": [ "jakarta_household" ], "source_evidence": [ { "source_id": "jakarta_household", "publisher": "BPS DKI Jakarta", "title": "Population Consumption Patterns 2025", "observation_period": "2025", "geography": "DKI Jakarta", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "bps_dki_jakarta", "observation_summary": "Population Consumption Patterns 2025 — used as household evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 800000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: jakarta_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "IDR", "normalized_range": { "low": 300000, "mode": 500000, "high": 800000 }, "source_refs": [ "jakarta_transit" ], "source_evidence": [ { "source_id": "jakarta_transit", "publisher": "TransJakarta", "title": "Current TransJakarta fare reference", "observation_period": "2026", "geography": "Jakarta", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "transjakarta", "observation_summary": "Current TransJakarta fare reference — used as transit evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: jakarta_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Jakarta", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "IDR", "normalized_range": { "low": 400000, "mode": 600000, "high": 900000 }, "source_refs": [ "jakarta_household" ], "source_evidence": [ { "source_id": "jakarta_household", "publisher": "BPS DKI Jakarta", "title": "Population Consumption Patterns 2025", "observation_period": "2025", "geography": "DKI Jakarta", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "bps_dki_jakarta", "observation_summary": "Population Consumption Patterns 2025 — used as household evidence for Jakarta. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 600000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: jakarta_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EGP", "normalized_range": { "low": 12000, "mode": 18000, "high": 28000 }, "source_refs": [ "cairo_rent" ], "source_evidence": [ { "source_id": "cairo_rent", "publisher": "Property Finder Egypt", "title": "Current 1-bedroom Cairo/Madinaty asking rents", "observation_period": "2026-09", "geography": "Cairo / Madinaty sample", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "property_finder_egypt", "observation_summary": "Current 1-bedroom Cairo/Madinaty asking rents — used as rent evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 18000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: cairo_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.5556, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EGP", "normalized_range": { "low": 2500, "mode": 4000, "high": 6000 }, "source_refs": [ "cairo_household", "cairo_cpi_2026" ], "source_evidence": [ { "source_id": "cairo_household", "publisher": "CAPMAS", "title": "Survey of Income, Expenditure and Consumption 2021", "observation_period": "2021", "geography": "Egypt / urban", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "Survey of Income, Expenditure and Consumption 2021 — used as household evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "cairo_cpi_2026", "publisher": "Central Bank of Egypt / CAPMAS", "title": "CPI Press Release August 2026 — urban headline inflation", "observation_period": "2026-08", "geography": "Egypt urban CPI; CAPMAS source series", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "CPI Press Release August 2026 — urban headline inflation — used as inflation_calibration evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000, "rationale": "CLC normalized model estimate anchored to the 2021 household survey and calibrated for current price conditions using the August 2026 urban CPI release; CAPMAS/CBE records share an institutional lineage and are not counted as independent source families.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EGP", "normalized_range": { "low": 6000, "mode": 9000, "high": 13000 }, "source_refs": [ "cairo_household", "cairo_cpi_2026" ], "source_evidence": [ { "source_id": "cairo_household", "publisher": "CAPMAS", "title": "Survey of Income, Expenditure and Consumption 2021", "observation_period": "2021", "geography": "Egypt / urban", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "Survey of Income, Expenditure and Consumption 2021 — used as household evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "cairo_cpi_2026", "publisher": "Central Bank of Egypt / CAPMAS", "title": "CPI Press Release August 2026 — urban headline inflation", "observation_period": "2026-08", "geography": "Egypt urban CPI; CAPMAS source series", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "CPI Press Release August 2026 — urban headline inflation — used as inflation_calibration evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 9000, "rationale": "CLC normalized model estimate anchored to the 2021 household survey and calibrated for current price conditions using the August 2026 urban CPI release; CAPMAS/CBE records share an institutional lineage and are not counted as independent source families.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4444, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EGP", "normalized_range": { "low": 2500, "mode": 4000, "high": 6500 }, "source_refs": [ "cairo_household", "cairo_cpi_2026" ], "source_evidence": [ { "source_id": "cairo_household", "publisher": "CAPMAS", "title": "Survey of Income, Expenditure and Consumption 2021", "observation_period": "2021", "geography": "Egypt / urban", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "Survey of Income, Expenditure and Consumption 2021 — used as household evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "cairo_cpi_2026", "publisher": "Central Bank of Egypt / CAPMAS", "title": "CPI Press Release August 2026 — urban headline inflation", "observation_period": "2026-08", "geography": "Egypt urban CPI; CAPMAS source series", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "CPI Press Release August 2026 — urban headline inflation — used as inflation_calibration evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000, "rationale": "CLC normalized model estimate anchored to the 2021 household survey and calibrated for current price conditions using the August 2026 urban CPI release; CAPMAS/CBE records share an institutional lineage and are not counted as independent source families.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.625, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EGP", "normalized_range": { "low": 1500, "mode": 2500, "high": 4000 }, "source_refs": [ "cairo_transit" ], "source_evidence": [ { "source_id": "cairo_transit", "publisher": "Cairo Governorate", "title": "Metro tickets", "observation_period": "2026", "geography": "Cairo", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "cairo_governorate", "observation_summary": "Metro tickets — used as transit evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: cairo_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cairo", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EGP", "normalized_range": { "low": 1500, "mode": 2500, "high": 4000 }, "source_refs": [ "cairo_household", "cairo_cpi_2026" ], "source_evidence": [ { "source_id": "cairo_household", "publisher": "CAPMAS", "title": "Survey of Income, Expenditure and Consumption 2021", "observation_period": "2021", "geography": "Egypt / urban", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "Survey of Income, Expenditure and Consumption 2021 — used as household evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "cairo_cpi_2026", "publisher": "Central Bank of Egypt / CAPMAS", "title": "CPI Press Release August 2026 — urban headline inflation", "observation_period": "2026-08", "geography": "Egypt urban CPI; CAPMAS source series", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "capmas", "observation_summary": "CPI Press Release August 2026 — urban headline inflation — used as inflation_calibration evidence for Cairo. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500, "rationale": "CLC normalized model estimate anchored to the 2021 household survey and calibrated for current price conditions using the August 2026 urban CPI release; CAPMAS/CBE records share an institutional lineage and are not counted as independent source families.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.6, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Seoul", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "KRW", "normalized_range": { "low": 735000, "mode": 1050000, "high": 1360000 }, "source_refs": [ "seoul_rent", "seoul_rent_size_validation_2026" ], "source_evidence": [ { "source_id": "seoul_rent", "publisher": "NewsPim / Dabang", "title": "Dabang July 2026 Seoul one-room rent analysis using MOLIT transaction data", "observation_period": "2026-07", "geography": "Seoul", "role": "rent", "quality_score": 1, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "molit_seoul_rental_transactions", "observation_summary": "July 2026 Seoul one-room market, units ≤33 m², derived from MOLIT reported transactions.", "observation_values": [ { "metric": "average_monthly_rent", "value": 690000, "unit": "KRW/month", "definition": "Seoul row-house/multifamily one-room units ≤33 m²", "period": "2026-07" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "seoul_rent_size_validation_2026", "publisher": "KoreaHomeGuide / MOLIT", "title": "Sillim-dong officetel rents by floor area — official reported rental transactions", "observation_period": "through 2026-08", "geography": "Sillim-dong, Gwanak-gu, Seoul", "role": "rent_size_calibration", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "molit_seoul_rental_transactions", "observation_summary": "Official MOLIT-derived Sillim-dong officetel contracts, six-month rolling view through Aug 2026, grouped by floor area and deposit band.", "observation_values": [ { "metric": "median_monthly_rent", "value": 560000, "unit": "KRW/month", "definition": "around 35 m²; median observed size 35.6 m²; median deposit ₩135m", "period": "through 2026-08", "sample_contracts": 10 }, { "metric": "median_monthly_rent", "value": 1800000, "unit": "KRW/month", "definition": "around 40 m²; median observed size 40.6 m²; median deposit ₩10m", "period": "through 2026-08", "sample_contracts": 10 }, { "metric": "median_monthly_rent", "value": 1050000, "unit": "KRW/month", "definition": "around 45 m²; median observed size 43.7 m²; median deposit ₩20m", "period": "through 2026-08", "sample_contracts": 8 } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1050000, "rationale": "Normalized 35–55 m² Seoul solo-renter anchor. The ≤33 m² citywide Dabang/MOLIT series is a lower-size trend check; size-banded Sillim-dong MOLIT contracts directly overlap 35–45 m² and support the current ₩1.05m midpoint while exposing deposit/rent variation.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.2952, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Seoul", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "KRW", "normalized_range": { "low": 154000, "mode": 220000, "high": 300000 }, "source_refs": [ "seoul_household" ], "source_evidence": [ { "source_id": "seoul_household", "publisher": "Statistics Korea", "title": "Household income and expenditure trends", "observation_period": "2025", "geography": "South Korea / one-person household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "statistics_korea", "observation_summary": "Household income and expenditure trends — used as household evidence for Seoul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220000, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: seoul_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3636, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Seoul", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "KRW", "normalized_range": { "low": 315000, "mode": 450000, "high": 600000 }, "source_refs": [ "seoul_household", "seoul_regional_income_expenditure_kosis", "seoul_current_consumer_spend_kcb" ], "source_evidence": [ { "source_id": "seoul_household", "publisher": "Statistics Korea", "title": "Household income and expenditure trends", "observation_period": "2025", "geography": "South Korea / one-person household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "statistics_korea", "observation_summary": "Household income and expenditure trends — used as household evidence for Seoul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "seoul_regional_income_expenditure_kosis", "publisher": "Seoul Data Hub / KOSIS", "title": "Seoul per-capita regional income and expenditure statistics", "observation_period": "annual series current at 2026-09", "geography": "Seoul", "role": "household_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "kosis_seoul_regional_accounts", "observation_summary": "City-level annual calibration for private consumption/disposable-income context; not a substitute for the one-person household expenditure breakdown.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "seoul_current_consumer_spend_kcb", "publisher": "Seoul Data Hub / KCB", "title": "Average income, consumption and loans of Seoul residents", "observation_period": "2026 monthly series", "geography": "Seoul and 25 districts", "role": "household_calibration", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kcb_seoul", "observation_summary": "Used as a current city-level consumption calibration; the production basket still relies on the official household expenditure framework for category definitions.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 450000, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: seoul_household, seoul_regional_income_expenditure_kosis, seoul_current_consumer_spend_kcb. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Seoul", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "KRW", "normalized_range": { "low": 220000, "mode": 300000, "high": 420000 }, "source_refs": [ "seoul_household" ], "source_evidence": [ { "source_id": "seoul_household", "publisher": "Statistics Korea", "title": "Household income and expenditure trends", "observation_period": "2025", "geography": "South Korea / one-person household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "statistics_korea", "observation_summary": "Household income and expenditure trends — used as household evidence for Seoul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300000, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: seoul_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7333, "high_as_fraction_of_mode": 1.4, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Seoul", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "KRW", "normalized_range": { "low": 50000, "mode": 62000, "high": 80000 }, "source_refs": [ "seoul_transit" ], "source_evidence": [ { "source_id": "seoul_transit", "publisher": "Seoul Metropolitan Government", "title": "Climate Card / monthly transit pass", "observation_period": "2026", "geography": "Seoul", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "seoul_metropolitan_government", "observation_summary": "Climate Card / monthly transit pass — used as transit evidence for Seoul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 62000, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: seoul_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.8065, "high_as_fraction_of_mode": 1.2903, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Seoul", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "KRW", "normalized_range": { "low": 100000, "mode": 150000, "high": 220000 }, "source_refs": [ "seoul_household" ], "source_evidence": [ { "source_id": "seoul_household", "publisher": "Statistics Korea", "title": "Household income and expenditure trends", "observation_period": "2025", "geography": "South Korea / one-person household evidence", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "statistics_korea", "observation_summary": "Household income and expenditure trends — used as household evidence for Seoul. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: seoul_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4667, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "New York", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "USD", "normalized_range": { "low": 1720, "mode": 2450, "high": 3180 }, "source_refs": [ "new_york_rent" ], "source_evidence": [ { "source_id": "new_york_rent", "city": "New York", "role": "rent", "publisher": "Leasebreak/LeaseSwap NYC", "title": "NYC 1-bedroom asking-rent series", "url": "https://leaseswap.nyc/rent/report", "observation_period": "2026-09", "retrieved_at": "2026-09-29", "geography": "New York City", "source_type": "market_index", "geography_match": "city", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "leasebreak_leaseswap_nyc", "upstream_dataset": "NYC 1-bedroom asking-rent series", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "September 2026 NYC one-bedroom asking-rent series. Citywide and lower-cost borough observations are captured; the CLC non-prime/transit-connected anchor remains a normalization, not the citywide median.", "observation_values": [ { "metric": "NYC citywide median 1-bedroom asking rent", "value": 3999, "unit": "USD/month", "period": "2026-09", "note": "6-month listing sample" }, { "metric": "Bronx median 1-bedroom asking rent", "value": 2500, "unit": "USD/month", "period": "2026-09" }, { "metric": "Queens median 1-bedroom asking rent", "value": 2899, "unit": "USD/month", "period": "2026-09" }, { "metric": "Staten Island median 1-bedroom asking rent", "value": 2100, "unit": "USD/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2450, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: new_york_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.702, "high_as_fraction_of_mode": 1.298, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "New York", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "USD", "normalized_range": { "low": 196.0, "mode": 280.0, "high": 364.0 }, "source_refs": [ "new_york_household", "new_york_bls_electricity_2024", "new_york_bls_natural_gas_2024", "new_york_bls_other_fuels_2024", "new_york_bls_water_2024", "new_york_bls_mobile_2024" ], "source_evidence": [ { "source_id": "new_york_household", "city": "New York", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in New York metro 2023-24", "url": "https://www.bls.gov/regions/northeast/news-release/consumerexpenditures_newyork.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "New York-Newark-Jersey City metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures in New York metro 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS New York metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 91520, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 7033, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 4679, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "new_york_bls_electricity_2024", "city": "New York", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUELECTRICLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "value": 1197, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "new_york_bls_natural_gas_2024", "city": "New York", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUNATRLGASLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "value": 329, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "new_york_bls_other_fuels_2024", "city": "New York", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUOTHRFUELLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "value": 71, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "new_york_bls_water_2024", "city": "New York", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUWATERLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "value": 532, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "new_york_bls_mobile_2024", "city": "New York", "role": "mobile", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Cellular Phone Service by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXU270102LB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Cellular Phone Service by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual cellular-service spending for one-person consumer units, accessed through FRED; national spending proxy.", "observation_values": [ { "metric": "cellular phone service", "value": 733, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 280.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: new_york_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "New York", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "USD", "normalized_range": { "low": 350.0, "mode": 500.0, "high": 650.0 }, "source_refs": [ "new_york_household" ], "source_evidence": [ { "source_id": "new_york_household", "city": "New York", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in New York metro 2023-24", "url": "https://www.bls.gov/regions/northeast/news-release/consumerexpenditures_newyork.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "New York-Newark-Jersey City metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures in New York metro 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS New York metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 91520, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 7033, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 4679, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: new_york_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "New York", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "USD", "normalized_range": { "low": 180.0, "mode": 260.0, "high": 360.0 }, "source_refs": [ "new_york_household" ], "source_evidence": [ { "source_id": "new_york_household", "city": "New York", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in New York metro 2023-24", "url": "https://www.bls.gov/regions/northeast/news-release/consumerexpenditures_newyork.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "New York-Newark-Jersey City metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures in New York metro 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS New York metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 91520, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 7033, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 4679, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 260.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: new_york_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6923, "high_as_fraction_of_mode": 1.3846, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "New York", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "USD", "normalized_range": { "low": 140.0, "mode": 152.0, "high": 170.0 }, "source_refs": [ "new_york_transit" ], "source_evidence": [ { "source_id": "new_york_transit", "city": "New York", "role": "transit", "publisher": "MTA", "title": "2026 fare materials / OMNY fare capping", "url": "https://www.mta.info/document/186881", "observation_period": "2026", "retrieved_at": "2026-09-29", "geography": "New York City", "source_type": "official_operator", "geography_match": "city", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "mta", "upstream_dataset": "2026 fare materials / OMNY fare capping", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "MTA 2026 adopted fare materials: $3.00 base fare and $35 rolling seven-day automatic fare cap. Monthly CLC transit remains a normalized planning conversion.", "observation_values": [ { "metric": "subway/local bus base fare", "value": 3.0, "unit": "USD/ride", "period": "effective 2026-01-04" }, { "metric": "rolling 7-day automatic fare cap", "value": 35.0, "unit": "USD/7 days", "period": "effective 2026-01-04" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 152.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: new_york_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9211, "high_as_fraction_of_mode": 1.1184, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "New York", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "USD", "normalized_range": { "low": 120.0, "mode": 180.0, "high": 250.0 }, "source_refs": [ "new_york_household" ], "source_evidence": [ { "source_id": "new_york_household", "city": "New York", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in New York metro 2023-24", "url": "https://www.bls.gov/regions/northeast/news-release/consumerexpenditures_newyork.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "New York-Newark-Jersey City metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures in New York metro 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS New York metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 91520, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 7033, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 4679, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: new_york_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.3889, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "London", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "GBP", "normalized_range": { "low": 1160, "mode": 1650, "high": 2140 }, "source_refs": [ "london_rent", "london_ons_ealing_rents_2026_08" ], "source_evidence": [ { "source_id": "london_rent", "publisher": "Office for National Statistics", "title": "Private rent and house prices, UK: July 2026", "observation_period": "2026-07", "geography": "London", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "office_for_national_statistics", "observation_summary": "Private rent and house prices, UK: July 2026 — used as rent evidence for London. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "london_ons_ealing_rents_2026_08", "city": "London", "role": "rent_detail", "publisher": "Office for National Statistics", "title": "Housing prices in Ealing", "url": "https://www.ons.gov.uk/visualisations/housingpriceslocal/E09000009/", "observation_period": "August 2026", "retrieved_at": "2026-09-24", "geography": "Ealing, London", "source_type": "official", "geography_match": "borough_proxy", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "office_for_national_statistics", "upstream_dataset": "Housing prices in Ealing", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Official ONS private-rent averages by bedroom count for Ealing, used as a transparent non-prime London proxy.", "observation_values": [ { "metric": "one-bedroom rent", "value": 1629, "unit": "GBP/month" }, { "metric": "three-bedroom rent", "value": 2406, "unit": "GBP/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1650, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: london_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.703, "high_as_fraction_of_mode": 1.297, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "London", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "GBP", "normalized_range": { "low": 196.0, "mode": 280.0, "high": 364.0 }, "source_refs": [ "london_household", "london_ofgem_cap_2026_q3", "london_thames_water_2026_27", "london_bt_full_fibre_2026", "london_ee_sim_2026" ], "source_evidence": [ { "source_id": "london_household", "publisher": "Office for National Statistics", "title": "Family spending in the UK: April 2024 to March 2025", "observation_period": "2024-25", "geography": "UK / London-region tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "office_for_national_statistics", "observation_summary": "Family spending in the UK: April 2024 to March 2025 — used as household evidence for London. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "london_ofgem_cap_2026_q3", "city": "London", "role": "utilities_energy_water", "publisher": "Ofgem", "title": "Energy price cap will rise by 13% from July", "url": "https://www.ofgem.gov.uk/press-release/energy-price-cap-will-rise-13-july", "observation_period": "1 Jul–30 Sep 2026", "retrieved_at": "2026-09-24", "geography": "Great Britain", "source_type": "official", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "ofgem", "upstream_dataset": "Energy price cap will rise by 13% from July", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Current typical dual-fuel direct-debit price-cap benchmark under revised TDCV is £1,663/year.", "observation_values": [ { "metric": "typical annual dual-fuel cap", "value": 1663, "unit": "GBP/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "london_thames_water_2026_27", "city": "London", "role": "utilities_energy_water", "publisher": "Thames Water", "title": "Assessed household charges", "url": "https://www.thameswater.co.uk/help/account-and-billing/understand-your-bill/assessed-household-charges", "observation_period": "2026–27", "retrieved_at": "2026-09-24", "geography": "Thames Water service area / London", "source_type": "official", "geography_match": "utility_service_area", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "thames_water", "upstream_dataset": "Assessed household charges", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Zero/one-bedroom assessed annual household water bill £626.34.", "observation_values": [ { "metric": "zero/one-bedroom assessed bill", "value": 626.34, "unit": "GBP/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "london_bt_full_fibre_2026", "city": "London", "role": "internet", "publisher": "BT", "title": "Full Fibre broadband plans", "url": "https://www.bt.com/broadband/full-fibre", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "United Kingdom", "source_type": "operator", "geography_match": "national_operator", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "bt", "upstream_dataset": "Full Fibre broadband plans", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "BT Full Fibre 500 promotional plan reference around £29.99/month; contract and future price rises apply.", "observation_values": [ { "metric": "Full Fibre 500 reference", "value": 29.99, "unit": "GBP/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "london_ee_sim_2026", "city": "London", "role": "mobile", "publisher": "EE", "title": "SIM only deals", "url": "https://ee.co.uk/mobile/sim-only-deals", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "United Kingdom", "source_type": "operator", "geography_match": "national_operator", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "ee", "upstream_dataset": "SIM only deals", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Current EE SIM-only mid-tier reference range used as an operator benchmark; plan terms/eligibility vary.", "observation_values": [ { "metric": "plan range", "low": 16, "mode": 21, "high": 23, "unit": "GBP/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 280.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: london_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "London", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "GBP", "normalized_range": { "low": 231.0, "mode": 330.0, "high": 429.0 }, "source_refs": [ "london_household" ], "source_evidence": [ { "source_id": "london_household", "publisher": "Office for National Statistics", "title": "Family spending in the UK: April 2024 to March 2025", "observation_period": "2024-25", "geography": "UK / London-region tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "office_for_national_statistics", "observation_summary": "Family spending in the UK: April 2024 to March 2025 — used as household evidence for London. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 330.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: london_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "London", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "GBP", "normalized_range": { "low": 120.0, "mode": 180.0, "high": 260.0 }, "source_refs": [ "london_household" ], "source_evidence": [ { "source_id": "london_household", "publisher": "Office for National Statistics", "title": "Family spending in the UK: April 2024 to March 2025", "observation_period": "2024-25", "geography": "UK / London-region tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "office_for_national_statistics", "observation_summary": "Family spending in the UK: April 2024 to March 2025 — used as household evidence for London. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: london_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4444, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "London", "component": "transit", "component_label": "adult monthly Travelcard planning persona (Zones 1–3 midpoint; Zones 1–2 lower bound context)", "currency": "GBP", "normalized_range": { "low": 172.0, "mode": 202.0, "high": 247.0 }, "source_refs": [ "london_transit" ], "source_evidence": [ { "source_id": "london_transit", "publisher": "Transport for London", "title": "Adult fares 2026", "observation_period": "2026", "geography": "London", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "transport_for_london", "observation_summary": "TfL 2026 adult Travelcards: Zones 1–2 £171.70/month; Zones 1–3 £201.60/month. CLC midpoint uses Zones 1–3.", "observation_values": [ { "metric": "Adult monthly Travelcard Zones 1–2", "value": 171.7, "unit": "GBP/month", "period": "2026" }, { "metric": "Adult monthly Travelcard Zones 1–3", "value": 201.6, "unit": "GBP/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 202.0, "rationale": "TfL 2026 adult fares list £201.60/month for Zones 1–3 and £171.70/month for Zones 1–2. CLC uses £202 as the planning midpoint for a transit-connected solo renter whose routine can extend into Zone 3; the lower end reflects a tighter Zone 1–2 pattern.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.8515, "high_as_fraction_of_mode": 1.2228, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "London", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "GBP", "normalized_range": { "low": 100.0, "mode": 150.0, "high": 220.0 }, "source_refs": [ "london_household" ], "source_evidence": [ { "source_id": "london_household", "publisher": "Office for National Statistics", "title": "Family spending in the UK: April 2024 to March 2025", "observation_period": "2024-25", "geography": "UK / London-region tables", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "office_for_national_statistics", "observation_summary": "Family spending in the UK: April 2024 to March 2025 — used as household evidence for London. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: london_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4667, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Los Angeles", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "USD", "normalized_range": { "low": 1300, "mode": 1850, "high": 2400 }, "source_refs": [ "los_angeles_rent" ], "source_evidence": [ { "source_id": "los_angeles_rent", "city": "Los Angeles", "role": "rent", "publisher": "Apartment List", "title": "Los Angeles rent / cost guide with current market data", "url": "https://www.apartmentlist.com/renter-life/cost-of-living-in-los-angeles", "observation_period": "2026-08", "retrieved_at": "2026-09-29", "geography": "Los Angeles", "source_type": "market_index", "geography_match": "city", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "apartment_list", "upstream_dataset": "Los Angeles rent / cost guide with current market data", "dedup_checked": true, "url_verification": "SEARCH_RESULT_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct crawler could not reliably fetch the page in this audit environment; current search indexing reconfirmed the exact source/title or official source page. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "Apartment List August 2026 Los Angeles rent estimates, including one-bedroom median used as a direct calibration point for the CLC one-bedroom anchor.", "observation_values": [ { "metric": "median rent, all sizes", "value": 2075, "unit": "USD/month", "period": "2026-08" }, { "metric": "median one-bedroom rent", "value": 1856, "unit": "USD/month", "period": "2026-08" }, { "metric": "median two-bedroom rent", "value": 2367, "unit": "USD/month", "period": "2026-08" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1850, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: los_angeles_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7027, "high_as_fraction_of_mode": 1.2973, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Los Angeles", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "USD", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 400.0 }, "source_refs": [ "los_angeles_household", "los_angeles_bls_electricity_2024", "los_angeles_bls_natural_gas_2024", "los_angeles_bls_other_fuels_2024", "los_angeles_bls_water_2024", "los_angeles_bls_mobile_2024" ], "source_evidence": [ { "source_id": "los_angeles_household", "city": "Los Angeles", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures for Los Angeles 2023-24", "url": "https://www.bls.gov/regions/west/news-release/consumerexpenditures_losangeles.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "Los Angeles metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures for Los Angeles 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS Los Angeles metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 90594, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 6546, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 5312, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "los_angeles_bls_electricity_2024", "city": "Los Angeles", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUELECTRICLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Electricity by Size of Consumer Unit: One Person Consumer Unit", "value": 1197, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "los_angeles_bls_natural_gas_2024", "city": "Los Angeles", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUNATRLGASLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Natural Gas by Size of Consumer Unit: One Person Consumer Unit", "value": 329, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "los_angeles_bls_other_fuels_2024", "city": "Los Angeles", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUOTHRFUELLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Fuel Oil and Other Fuels by Size of Consumer Unit: One Person Consumer Unit", "value": 71, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "los_angeles_bls_water_2024", "city": "Los Angeles", "role": "utilities_energy_water", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXUWATERLB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual mean for one-person consumer units, accessed through FRED; national spending proxy rather than a local tariff quote.", "observation_values": [ { "metric": "Expenditures: Water and Other Public Services by Size of Consumer Unit: One Person Consumer Unit", "value": 532, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "los_angeles_bls_mobile_2024", "city": "Los Angeles", "role": "mobile", "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics", "title": "Expenditures: Cellular Phone Service by Size of Consumer Unit: One Person Consumer Unit", "url": "https://fred.stlouisfed.org/series/CXU270102LB0502M", "observation_period": "2024", "retrieved_at": "2026-09-24", "geography": "United States — one-person consumer units", "source_type": "official_aggregator", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "bls_consumer_expenditure", "upstream_dataset": "Expenditures: Cellular Phone Service by Size of Consumer Unit: One Person Consumer Unit", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.8 U.S. detail build.", "observation_summary": "BLS Consumer Expenditure Survey annual cellular-service spending for one-person consumer units, accessed through FRED; national spending proxy.", "observation_values": [ { "metric": "cellular phone service", "value": 733, "unit": "USD/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: los_angeles_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Los Angeles", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "USD", "normalized_range": { "low": 364.0, "mode": 520.0, "high": 680.0 }, "source_refs": [ "los_angeles_household" ], "source_evidence": [ { "source_id": "los_angeles_household", "city": "Los Angeles", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures for Los Angeles 2023-24", "url": "https://www.bls.gov/regions/west/news-release/consumerexpenditures_losangeles.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "Los Angeles metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures for Los Angeles 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS Los Angeles metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 90594, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 6546, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 5312, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 520.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: los_angeles_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3077, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Los Angeles", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "USD", "normalized_range": { "low": 180.0, "mode": 260.0, "high": 380.0 }, "source_refs": [ "los_angeles_household" ], "source_evidence": [ { "source_id": "los_angeles_household", "city": "Los Angeles", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures for Los Angeles 2023-24", "url": "https://www.bls.gov/regions/west/news-release/consumerexpenditures_losangeles.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "Los Angeles metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures for Los Angeles 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS Los Angeles metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 90594, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 6546, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 5312, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 260.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: los_angeles_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6923, "high_as_fraction_of_mode": 1.4615, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Los Angeles", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "USD", "normalized_range": { "low": 72.0, "mode": 78.0, "high": 95.0 }, "source_refs": [ "los_angeles_transit" ], "source_evidence": [ { "source_id": "los_angeles_transit", "city": "Los Angeles", "role": "transit", "publisher": "LA Metro", "title": "Current fares", "url": "https://www.metro.net/fares/", "observation_period": "2026", "retrieved_at": "2026-09-29", "geography": "Los Angeles", "source_type": "official_operator", "geography_match": "city", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "la_metro", "upstream_dataset": "Current fares", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "LA Metro current regular fare and fare caps. Monthly CLC transit is a planning conversion from the observed fare structure.", "observation_values": [ { "metric": "regular one-way fare", "value": 1.75, "unit": "USD/ride", "period": "current 2026" }, { "metric": "daily fare cap", "value": 5.0, "unit": "USD/day", "period": "current 2026" }, { "metric": "7-day fare cap", "value": 18.0, "unit": "USD/7 days", "period": "current 2026" }, { "metric": "free transfer window", "value": 2, "unit": "hours", "period": "current 2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 78.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: los_angeles_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9231, "high_as_fraction_of_mode": 1.2179, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Los Angeles", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "USD", "normalized_range": { "low": 120.0, "mode": 180.0, "high": 250.0 }, "source_refs": [ "los_angeles_household" ], "source_evidence": [ { "source_id": "los_angeles_household", "city": "Los Angeles", "role": "household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures for Los Angeles 2023-24", "url": "https://www.bls.gov/regions/west/news-release/consumerexpenditures_losangeles.htm", "observation_period": "2023-24", "retrieved_at": "2026-09-29", "geography": "Los Angeles metro", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "u_s_bureau_of_labor_statistics", "upstream_dataset": "Consumer Expenditures for Los Angeles 2023-24", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "BLS Los Angeles metro 2023-24 consumer-expenditure benchmarks. These are metro consumer-unit averages and are used as calibration, not as direct one-person monthly quotes.", "observation_values": [ { "metric": "average annual expenditures", "value": 90594, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food at home", "value": 6546, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "food away from home", "value": 5312, "unit": "USD/year per consumer unit", "period": "2023-24" }, { "metric": "personal care products and services share", "value": 1.3, "unit": "percent of annual expenditures", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: los_angeles_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.3889, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Singapore", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "SGD", "normalized_range": { "low": 2030, "mode": 2900, "high": 3770 }, "source_refs": [ "singapore_rent" ], "source_evidence": [ { "source_id": "singapore_rent", "publisher": "Singapore Government Data / HDB", "title": "HDB rental statistics dataset", "observation_period": "2026", "geography": "Singapore", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "singapore_government_data_hdb", "observation_summary": "HDB rental statistics dataset — used as rent evidence for Singapore. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2900, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: singapore_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Singapore", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "SGD", "normalized_range": { "low": 175.0, "mode": 250.0, "high": 330.0 }, "source_refs": [ "singapore_household", "singapore_starhub_broadband_2026", "singapore_starhub_mobile_2026" ], "source_evidence": [ { "source_id": "singapore_household", "publisher": "Singapore Department of Statistics", "title": "Household Expenditure Survey 2023", "observation_period": "2023", "geography": "Singapore", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "singapore_department_of_statistics", "observation_summary": "Household Expenditure Survey 2023 — used as household evidence for Singapore. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "singapore_starhub_broadband_2026", "city": "Singapore", "role": "internet", "publisher": "StarHub", "title": "Best Fibre Broadband Plans & Promotions Singapore", "url": "https://www.starhub.com/personal/broadband.html", "observation_period": "reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Singapore", "source_type": "operator", "geography_match": "national_city", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "starhub", "upstream_dataset": "Best Fibre Broadband Plans & Promotions Singapore", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Current 24-month broadband references: 5Gbps S$29.55/month and 10Gbps S$38.90/month for new sign-ups.", "observation_values": [ { "metric": "5Gbps", "value": 29.55, "unit": "SGD/month" }, { "metric": "10Gbps", "value": 38.9, "unit": "SGD/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "singapore_starhub_mobile_2026", "city": "Singapore", "role": "mobile", "publisher": "StarHub", "title": "SIM Only Plan Comparison Singapore 2026", "url": "https://www.starhub.com/personal/how-to/best-sim-only-plan-singapore.html", "observation_period": "2026 / reviewed 2026-09-24", "retrieved_at": "2026-09-24", "geography": "Singapore", "source_type": "operator", "geography_match": "national_city", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "starhub", "upstream_dataset": "SIM Only Plan Comparison Singapore 2026", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact source and observation definition checked during the V5.9 global detail build.", "observation_summary": "Current StarHub SIM-only references: 5G Lite S$25, Unlimited+ Core S$38, Unlimited+ Plus S$48 per month.", "observation_values": [ { "metric": "5G Lite", "value": 25, "unit": "SGD/month" }, { "metric": "Unlimited+ Core", "value": 38, "unit": "SGD/month" }, { "metric": "Unlimited+ Plus", "value": 48, "unit": "SGD/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: singapore_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.32, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Singapore", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "SGD", "normalized_range": { "low": 336.0, "mode": 480.0, "high": 650.0 }, "source_refs": [ "singapore_household" ], "source_evidence": [ { "source_id": "singapore_household", "publisher": "Singapore Department of Statistics", "title": "Household Expenditure Survey 2023", "observation_period": "2023", "geography": "Singapore", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "singapore_department_of_statistics", "observation_summary": "Household Expenditure Survey 2023 — used as household evidence for Singapore. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 480.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: singapore_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3542, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Singapore", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "SGD", "normalized_range": { "low": 180.0, "mode": 260.0, "high": 380.0 }, "source_refs": [ "singapore_household" ], "source_evidence": [ { "source_id": "singapore_household", "publisher": "Singapore Department of Statistics", "title": "Household Expenditure Survey 2023", "observation_period": "2023", "geography": "Singapore", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "singapore_department_of_statistics", "observation_summary": "Household Expenditure Survey 2023 — used as household evidence for Singapore. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 260.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: singapore_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6923, "high_as_fraction_of_mode": 1.4615, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Singapore", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "SGD", "normalized_range": { "low": 100.0, "mode": 122.0, "high": 150.0 }, "source_refs": [ "singapore_transit" ], "source_evidence": [ { "source_id": "singapore_transit", "city": "Singapore", "role": "transit", "publisher": "Public Transport Council Singapore", "title": "Public transport fares and passes", "url": "https://www.ptc.gov.sg/fares/public-transport-fares-and-passes/", "observation_period": "2026", "retrieved_at": "2026-09-29", "geography": "Singapore", "source_type": "official", "geography_match": "city_state", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "public_transport_council_singapore", "upstream_dataset": "Public transport fares and passes", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Direct live reopen confirmed during 2026-09-23 external source audit. Numeric observations rechecked/captured in the V7.0 evidence pass on 2026-09-29.", "observation_summary": "Public Transport Council current Adult Monthly Travel Pass for unlimited basic bus and train rides.", "observation_values": [ { "metric": "Adult Monthly Travel Pass", "value": 122.0, "unit": "SGD/month", "period": "current 2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 122.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: singapore_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.8197, "high_as_fraction_of_mode": 1.2295, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Singapore", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "SGD", "normalized_range": { "low": 120.0, "mode": 180.0, "high": 250.0 }, "source_refs": [ "singapore_household" ], "source_evidence": [ { "source_id": "singapore_household", "publisher": "Singapore Department of Statistics", "title": "Household Expenditure Survey 2023", "observation_period": "2023", "geography": "Singapore", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "singapore_department_of_statistics", "observation_summary": "Household Expenditure Survey 2023 — used as household evidence for Singapore. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: singapore_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.3889, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "AUD", "normalized_range": { "low": 1960, "mode": 2800, "high": 3640 }, "source_refs": [ "sydney_rent" ], "source_evidence": [ { "source_id": "sydney_rent", "publisher": "NSW Department of Communities and Justice", "title": "Rent and Sales Report", "observation_period": "2026-06", "geography": "Sydney / NSW regional tables", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "nsw_department_of_communities_and_justice", "observation_summary": "NSW DCJ states this report is the sole authoritative source of NSW rent movements; June 2026 rent tables are the current release used for Sydney-area rent calibration.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2800, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: sydney_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "AUD", "normalized_range": { "low": 231.0, "mode": 330.0, "high": 450.0 }, "source_refs": [ "sydney_household" ], "source_evidence": [ { "source_id": "sydney_household", "publisher": "Australian Bureau of Statistics", "title": "Monthly Household Spending Indicator", "observation_period": "2026-07", "geography": "New South Wales; state-level household-spending category tables used as current Sydney calibration", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "australian_bureau_of_statistics", "observation_summary": "ABS July 2026 release includes downloadable NSW spending tables by category. It is current state-level calibration, not a Sydney-specific one-person budget.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 330.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: sydney_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3636, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "AUD", "normalized_range": { "low": 406.0, "mode": 580.0, "high": 754.0 }, "source_refs": [ "sydney_household" ], "source_evidence": [ { "source_id": "sydney_household", "publisher": "Australian Bureau of Statistics", "title": "Monthly Household Spending Indicator", "observation_period": "2026-07", "geography": "New South Wales; state-level household-spending category tables used as current Sydney calibration", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "australian_bureau_of_statistics", "observation_summary": "ABS July 2026 release includes downloadable NSW spending tables by category. It is current state-level calibration, not a Sydney-specific one-person budget.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 580.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: sydney_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "AUD", "normalized_range": { "low": 220.0, "mode": 320.0, "high": 450.0 }, "source_refs": [ "sydney_household" ], "source_evidence": [ { "source_id": "sydney_household", "publisher": "Australian Bureau of Statistics", "title": "Monthly Household Spending Indicator", "observation_period": "2026-07", "geography": "New South Wales; state-level household-spending category tables used as current Sydney calibration", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "australian_bureau_of_statistics", "observation_summary": "ABS July 2026 release includes downloadable NSW spending tables by category. It is current state-level calibration, not a Sydney-specific one-person budget.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 320.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: sydney_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6875, "high_as_fraction_of_mode": 1.4062, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "AUD", "normalized_range": { "low": 150.0, "mode": 217.0, "high": 250.0 }, "source_refs": [ "sydney_transit" ], "source_evidence": [ { "source_id": "sydney_transit", "publisher": "Transport for NSW", "title": "Adult Opal fares", "observation_period": "2026", "geography": "Sydney", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "transport_for_nsw", "observation_summary": "Adult Opal fares — used as transit evidence for Sydney. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 217.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: sydney_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6912, "high_as_fraction_of_mode": 1.1521, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Sydney", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "AUD", "normalized_range": { "low": 150.0, "mode": 220.0, "high": 300.0 }, "source_refs": [ "sydney_household" ], "source_evidence": [ { "source_id": "sydney_household", "publisher": "Australian Bureau of Statistics", "title": "Monthly Household Spending Indicator", "observation_period": "2026-07", "geography": "New South Wales; state-level household-spending category tables used as current Sydney calibration", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "australian_bureau_of_statistics", "observation_summary": "ABS July 2026 release includes downloadable NSW spending tables by category. It is current state-level calibration, not a Sydney-specific one-person budget.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: sydney_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6818, "high_as_fraction_of_mode": 1.3636, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "HKD", "normalized_range": { "low": 9800, "mode": 14000, "high": 18200 }, "source_refs": [ "hong_kong_rent" ], "source_evidence": [ { "source_id": "hong_kong_rent", "publisher": "Hong Kong Rating and Valuation Department", "title": "Property market statistics / private domestic rents", "observation_period": "2026", "geography": "Hong Kong", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "hong_kong_rating_and_valuation_department", "observation_summary": "Property market statistics / private domestic rents — used as rent evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 14000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: hong_kong_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "HKD", "normalized_range": { "low": 840.0, "mode": 1200, "high": 1600 }, "source_refs": [ "hong_kong_household" ], "source_evidence": [ { "source_id": "hong_kong_household", "publisher": "Hong Kong Census and Statistics Department", "title": "Household Expenditure Survey 2024/25", "observation_period": "2024-25", "geography": "Hong Kong", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "hong_kong_census_and_statistics_department", "observation_summary": "Household Expenditure Survey 2024/25 — used as household evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1200, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: hong_kong_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "HKD", "normalized_range": { "low": 2240, "mode": 3200, "high": 4200 }, "source_refs": [ "hong_kong_household" ], "source_evidence": [ { "source_id": "hong_kong_household", "publisher": "Hong Kong Census and Statistics Department", "title": "Household Expenditure Survey 2024/25", "observation_period": "2024-25", "geography": "Hong Kong", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "hong_kong_census_and_statistics_department", "observation_summary": "Household Expenditure Survey 2024/25 — used as household evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3200, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: hong_kong_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3125, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "HKD", "normalized_range": { "low": 1200, "mode": 1800, "high": 2600 }, "source_refs": [ "hong_kong_household" ], "source_evidence": [ { "source_id": "hong_kong_household", "publisher": "Hong Kong Census and Statistics Department", "title": "Household Expenditure Survey 2024/25", "observation_period": "2024-25", "geography": "Hong Kong", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "hong_kong_census_and_statistics_department", "observation_summary": "Household Expenditure Survey 2024/25 — used as household evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1800, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: hong_kong_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4444, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "HKD", "normalized_range": { "low": 500.0, "mode": 800.0, "high": 1200 }, "source_refs": [ "hong_kong_transit" ], "source_evidence": [ { "source_id": "hong_kong_transit", "publisher": "MTR", "title": "Monthly Pass Extra", "observation_period": "2026", "geography": "Hong Kong", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "mtr", "observation_summary": "Monthly Pass Extra — used as transit evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 800.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: hong_kong_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.5, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Hong Kong", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "HKD", "normalized_range": { "low": 700.0, "mode": 1000, "high": 1500 }, "source_refs": [ "hong_kong_household" ], "source_evidence": [ { "source_id": "hong_kong_household", "publisher": "Hong Kong Census and Statistics Department", "title": "Household Expenditure Survey 2024/25", "observation_period": "2024-25", "geography": "Hong Kong", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "hong_kong_census_and_statistics_department", "observation_summary": "Household Expenditure Survey 2024/25 — used as household evidence for Hong Kong. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: hong_kong_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dubai", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "AED", "normalized_range": { "low": 3570, "mode": 5100, "high": 6630 }, "source_refs": [ "dubai_rent" ], "source_evidence": [ { "source_id": "dubai_rent", "publisher": "Bayut", "title": "Dubai rental market report H1 2026", "observation_period": "2026-H1", "geography": "Dubai", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "bayut", "observation_summary": "Dubai rental market report H1 2026 — used as rent evidence for Dubai. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5100, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: dubai_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Dubai", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "AED", "normalized_range": { "low": 700.0, "mode": 1000, "high": 1400 }, "source_refs": [ "dubai_hies_2014_2015_per_capita", "dubai_household" ], "source_evidence": [ { "source_id": "dubai_hies_2014_2015_per_capita", "publisher": "Dubai Statistics Center", "title": "Annual Average Expenditure and Consumption Per-Capita by Expenditure Divisions — HIES 2014/2015", "observation_period": "2014 (HIES 2014/2015)", "geography": "Dubai; non-Emirati household column used as context", "role": "household_baseline", "quality_score": 3, "freshness_score": 0, "definition_match_score": 2, "independence_cluster": "dubai_hies_2014_2015", "observation_summary": "Official Dubai HIES 2014/2015 annual per-capita expenditure table, including a non-Emirati household column.", "observation_values": [ { "metric": "food_beverages_cash", "value": 6648, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "furnishings_household_maintenance", "value": 1418, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "communication", "value": 2693, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "restaurants_hotels", "value": 2349, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "total_annual_cash_consumption_expenditure", "value": 56967, "unit": "AED/person/year", "definition": "non-Emirati households; excludes imputed rent per source note", "period": "2014" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "dubai_household", "publisher": "Dubai Statistics Center", "title": "Consumer Price Index 2025, base 2021", "observation_period": "2025", "geography": "Dubai", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "dubai_statistics_center", "observation_summary": "Dubai Consumer Price Index 2025 (base 2021), used only as inflation/category calibration.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000, "rationale": "CLC normalized solo utilities/connectivity anchor using the official Dubai HIES absolute per-capita baseline as an older level reference and the 2025 CPI only as a price-change calibration. Because the absolute baseline is old, this component remains Low confidence.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dubai", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "AED", "normalized_range": { "low": 910.0, "mode": 1300, "high": 1700 }, "source_refs": [ "dubai_hies_2014_2015_per_capita", "dubai_household", "dubai_essential_goods_2026" ], "source_evidence": [ { "source_id": "dubai_hies_2014_2015_per_capita", "publisher": "Dubai Statistics Center", "title": "Annual Average Expenditure and Consumption Per-Capita by Expenditure Divisions — HIES 2014/2015", "observation_period": "2014 (HIES 2014/2015)", "geography": "Dubai; non-Emirati household column used as context", "role": "household_baseline", "quality_score": 3, "freshness_score": 0, "definition_match_score": 2, "independence_cluster": "dubai_hies_2014_2015", "observation_summary": "Official Dubai HIES 2014/2015 annual per-capita expenditure table, including a non-Emirati household column.", "observation_values": [ { "metric": "food_beverages_cash", "value": 6648, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "furnishings_household_maintenance", "value": 1418, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "communication", "value": 2693, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "restaurants_hotels", "value": 2349, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "total_annual_cash_consumption_expenditure", "value": 56967, "unit": "AED/person/year", "definition": "non-Emirati households; excludes imputed rent per source note", "period": "2014" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "dubai_household", "publisher": "Dubai Statistics Center", "title": "Consumer Price Index 2025, base 2021", "observation_period": "2025", "geography": "Dubai", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "dubai_statistics_center", "observation_summary": "Dubai Consumer Price Index 2025 (base 2021), used only as inflation/category calibration.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "dubai_essential_goods_2026", "publisher": "UAE Ministry of Economy & Tourism", "title": "Essential Goods Prices Platform — current retail price monitoring", "observation_period": "2026-08/09", "geography": "UAE retail outlets including Dubai", "role": "grocery_calibration", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "uae_moet_essential_goods", "observation_summary": "Official current retail monitoring across essential grocery categories and UAE retailers, including Dubai locations.", "observation_values": [ { "metric": "basmati_rice_1kg_average", "value": 16.62, "unit": "AED", "period": "2026-08" }, { "metric": "fresh_milk_1l_average", "value": 9.46, "unit": "AED", "period": "2026-08" }, { "metric": "brown_eggs_30_average", "value": 23.05, "unit": "AED", "period": "2026-08" }, { "metric": "white_eggs_30_average", "value": 22.97, "unit": "AED", "period": "2026-08" }, { "metric": "fresh_whole_chicken_1kg_average", "value": 22.97, "unit": "AED", "period": "2026-08" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1300, "rationale": "CLC normalized monthly grocery basket using the official Dubai HIES per-capita food baseline, current Dubai/UAE retail item-price monitoring, and CPI as inflation calibration. The current item-price layer improves freshness but does not replace a current full household budget.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3077, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dubai", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "AED", "normalized_range": { "low": 550.0, "mode": 800.0, "high": 1200 }, "source_refs": [ "dubai_hies_2014_2015_per_capita", "dubai_household" ], "source_evidence": [ { "source_id": "dubai_hies_2014_2015_per_capita", "publisher": "Dubai Statistics Center", "title": "Annual Average Expenditure and Consumption Per-Capita by Expenditure Divisions — HIES 2014/2015", "observation_period": "2014 (HIES 2014/2015)", "geography": "Dubai; non-Emirati household column used as context", "role": "household_baseline", "quality_score": 3, "freshness_score": 0, "definition_match_score": 2, "independence_cluster": "dubai_hies_2014_2015", "observation_summary": "Official Dubai HIES 2014/2015 annual per-capita expenditure table, including a non-Emirati household column.", "observation_values": [ { "metric": "food_beverages_cash", "value": 6648, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "furnishings_household_maintenance", "value": 1418, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "communication", "value": 2693, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "restaurants_hotels", "value": 2349, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "total_annual_cash_consumption_expenditure", "value": 56967, "unit": "AED/person/year", "definition": "non-Emirati households; excludes imputed rent per source note", "period": "2014" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "dubai_household", "publisher": "Dubai Statistics Center", "title": "Consumer Price Index 2025, base 2021", "observation_period": "2025", "geography": "Dubai", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "dubai_statistics_center", "observation_summary": "Dubai Consumer Price Index 2025 (base 2021), used only as inflation/category calibration.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 800.0, "rationale": "CLC moderate eating-out allowance anchored to the official HIES restaurants/hotels category and calibrated for subsequent price change; the absolute HIES level is old, so confidence remains Low.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6875, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dubai", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "AED", "normalized_range": { "low": 250.0, "mode": 400.0, "high": 650.0 }, "source_refs": [ "dubai_transit" ], "source_evidence": [ { "source_id": "dubai_transit", "city": "Dubai", "role": "transit", "publisher": "Roads and Transport Authority Dubai", "title": "Nol fares", "url": "https://rta.ae/wps/portal/rta/ae/public-transport/Nol-Fares?lang=en", "observation_period": "2026", "retrieved_at": "2026-09-29", "geography": "Dubai", "source_type": "official_operator", "geography_match": "city", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "roads_and_transport_authority_dubai", "upstream_dataset": "Nol fares", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Official RTA nol fare page rechecked and numeric fare observations captured 2026-09-29.", "observation_summary": "Dubai RTA current nol fares: Silver-card trip fares and 30-day pass prices captured from the official fare page.", "observation_values": [ { "metric": "Silver card fare within 1 zone", "value": 3, "unit": "AED/ride", "period": "current 2026" }, { "metric": "Silver card fare across 2 adjacent zones", "value": 5, "unit": "AED/ride", "period": "current 2026" }, { "metric": "Silver card fare across more than 2 zones", "value": 7.5, "unit": "AED/ride", "period": "current 2026" }, { "metric": "30-day pass, 1 zone", "value": 140, "unit": "AED/30 days", "period": "current 2026" }, { "metric": "30-day pass, 2 zones", "value": 230, "unit": "AED/30 days", "period": "current 2026" }, { "metric": "30-day pass, all zones", "value": 350, "unit": "AED/30 days", "period": "current 2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: dubai_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.625, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dubai", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "AED", "normalized_range": { "low": 300.0, "mode": 450.0, "high": 650.0 }, "source_refs": [ "dubai_hies_2014_2015_per_capita", "dubai_household" ], "source_evidence": [ { "source_id": "dubai_hies_2014_2015_per_capita", "publisher": "Dubai Statistics Center", "title": "Annual Average Expenditure and Consumption Per-Capita by Expenditure Divisions — HIES 2014/2015", "observation_period": "2014 (HIES 2014/2015)", "geography": "Dubai; non-Emirati household column used as context", "role": "household_baseline", "quality_score": 3, "freshness_score": 0, "definition_match_score": 2, "independence_cluster": "dubai_hies_2014_2015", "observation_summary": "Official Dubai HIES 2014/2015 annual per-capita expenditure table, including a non-Emirati household column.", "observation_values": [ { "metric": "food_beverages_cash", "value": 6648, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "furnishings_household_maintenance", "value": 1418, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "communication", "value": 2693, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "restaurants_hotels", "value": 2349, "unit": "AED/person/year", "definition": "non-Emirati households", "period": "2014" }, { "metric": "total_annual_cash_consumption_expenditure", "value": 56967, "unit": "AED/person/year", "definition": "non-Emirati households; excludes imputed rent per source note", "period": "2014" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" }, { "source_id": "dubai_household", "publisher": "Dubai Statistics Center", "title": "Consumer Price Index 2025, base 2021", "observation_period": "2025", "geography": "Dubai", "role": "inflation_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "dubai_statistics_center", "observation_summary": "Dubai Consumer Price Index 2025 (base 2021), used only as inflation/category calibration.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 450.0, "rationale": "CLC household/personal essentials allowance anchored to official HIES household-maintenance/miscellaneous spending categories and calibrated for later price change; the absolute baseline is old, so confidence remains Low.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4444, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Paris", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 840.0, "mode": 1200, "high": 1560 }, "source_refs": [ "paris_rent", "paris_private_renter_burden_2026" ], "source_evidence": [ { "source_id": "paris_rent", "publisher": "OLAP", "title": "Paris Rent Observatory report 2025", "observation_period": "2025", "geography": "Paris agglomeration", "role": "rent", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "olap", "observation_summary": "Paris Rent Observatory report 2025 — used as rent evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "paris_private_renter_burden_2026", "publisher": "INSEE Île-de-France / OLAP", "title": "Paris private renters — rent burden analysis", "observation_period": "published 2026-05; underlying renter data 2022", "geography": "Paris", "role": "housing_calibration", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "olap", "observation_summary": "Supports the solo-renter housing definition: studios/2-room units and people living alone are prominent in the private rental stock. Counted in the same OLAP independence cluster as the main Paris rent source.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1200, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: paris_rent, paris_private_renter_burden_2026. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Paris", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 161.0, "mode": 230.0, "high": 300.0 }, "source_refs": [ "paris_household", "paris_energy_vulnerability_idf_2026" ], "source_evidence": [ { "source_id": "paris_household", "publisher": "INSEE", "title": "Household consumption in 2025", "observation_period": "2025", "geography": "France / Paris inflation and consumption cross-check", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "insee", "observation_summary": "Household consumption in 2025 — used as household evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "paris_energy_vulnerability_idf_2026", "publisher": "INSEE Île-de-France", "title": "Île-de-France household energy vulnerability analysis", "observation_period": "published 2026-02; modelled household data 2021", "geography": "Île-de-France with Paris context", "role": "utilities_calibration", "quality_score": 3, "freshness_score": 1, "definition_match_score": 2, "independence_cluster": "insee", "observation_summary": "Regional household-energy context; used only as a utilities reasonableness check because underlying expenditure modelling is older.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 230.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: paris_household, paris_energy_vulnerability_idf_2026. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3043, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Paris", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 252.0, "mode": 360.0, "high": 470.0 }, "source_refs": [ "paris_household" ], "source_evidence": [ { "source_id": "paris_household", "publisher": "INSEE", "title": "Household consumption in 2025", "observation_period": "2025", "geography": "France / Paris inflation and consumption cross-check", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "insee", "observation_summary": "Household consumption in 2025 — used as household evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 360.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: paris_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3056, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Paris", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 130.0, "mode": 190.0, "high": 280.0 }, "source_refs": [ "paris_household" ], "source_evidence": [ { "source_id": "paris_household", "publisher": "INSEE", "title": "Household consumption in 2025", "observation_period": "2025", "geography": "France / Paris inflation and consumption cross-check", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "insee", "observation_summary": "Household consumption in 2025 — used as household evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 190.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: paris_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6842, "high_as_fraction_of_mode": 1.4737, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Paris", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 90.8, "mode": 90.8, "high": 110.0 }, "source_refs": [ "paris_transit" ], "source_evidence": [ { "source_id": "paris_transit", "publisher": "Île-de-France Mobilités", "title": "Navigo Mois 2026", "observation_period": "2026", "geography": "Paris / Île-de-France", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "le_de_france_mobilit_s", "observation_summary": "Navigo Mois 2026 — used as transit evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 90.8, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: paris_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 1.0, "high_as_fraction_of_mode": 1.2115, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Paris", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 100.0, "mode": 150.0, "high": 220.0 }, "source_refs": [ "paris_household" ], "source_evidence": [ { "source_id": "paris_household", "publisher": "INSEE", "title": "Household consumption in 2025", "observation_period": "2025", "geography": "France / Paris inflation and consumption cross-check", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 1, "independence_cluster": "insee", "observation_summary": "Household consumption in 2025 — used as household evidence for Paris. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: paris_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4667, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 7 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Toronto", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CAD", "normalized_range": { "low": 1750, "mode": 2500, "high": 3250 }, "source_refs": [ "toronto_rent", "toronto_statcan_rent_2026q2" ], "source_evidence": [ { "source_id": "toronto_rent", "publisher": "City of Toronto / CMHC", "title": "2026 market rent information", "observation_period": "2026", "geography": "Toronto", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "city_of_toronto_cmhc", "observation_summary": "2026 market rent information — used as rent evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "toronto_statcan_rent_2026q2", "city": "Toronto", "role": "rent_detail", "publisher": "Statistics Canada", "title": "Quarterly rent statistics by unit type and census metropolitan area", "url": "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=4610009201", "observation_period": "2026-Q2", "retrieved_at": "2026-09-24", "geography": "Toronto, Census metropolitan area (CMA)", "source_type": "official", "geography_match": "metro", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "statistics_canada_rent_statistics", "upstream_dataset": "Quarterly rent statistics by unit type and census metropolitan area", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact official source and observation definition checked during the V5.7 Canada detail build.", "observation_summary": "Average paid and asking rents for selected apartment and house unit types in the city CMA.", "observation_values": [ { "metric": "House - 3 or more bedrooms — Average asking rent", "value": 3630.0, "unit": "CAD/month", "period": "2026-Q2" }, { "metric": "Apartment - 1 bedroom — Average asking rent", "value": 2090.0, "unit": "CAD/month", "period": "2026-Q2" }, { "metric": "Apartment - 1 bedroom — Average paid rent", "value": 1840.0, "unit": "CAD/month", "period": "2026-Q2" }, { "metric": "Apartment - 3 or more bedrooms — Average asking rent", "value": 3270.0, "unit": "CAD/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: toronto_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Toronto", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CAD", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 400.0 }, "source_refs": [ "toronto_household", "toronto_statcan_shs_2023" ], "source_evidence": [ { "source_id": "toronto_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 updated release", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Ontario and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statistics_canada", "observation_summary": "Survey of Household Spending, 2023 updated release — used as household evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "toronto_statcan_shs_2023", "city": "Toronto", "role": "one_person_spending", "publisher": "Statistics Canada", "title": "Survey of Household Spending by household type", "url": "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1110022401", "observation_period": "2023", "retrieved_at": "2026-09-24", "geography": "Canada", "source_type": "official", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_canada_household_spending", "upstream_dataset": "Survey of Household Spending by household type", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact official source and observation definition checked during the V5.7 Canada detail build.", "observation_summary": "Average annual expenditures for one-person households, divided by 12 for monthly reference values. These are national spending exposures, not city market quotes.", "observation_values": [ { "metric": "Water, fuel and electricity for principal accommodation", "value": 144.17, "unit": "CAD/month" }, { "metric": "Cell phone and pager services", "value": 68.83, "unit": "CAD/month" }, { "metric": "Internet access services", "value": 70.42, "unit": "CAD/month" }, { "metric": "Prescribed medicines and pharmaceutical products", "value": 28.58, "unit": "CAD/month" }, { "metric": "Private health insurance plan premiums", "value": 30.58, "unit": "CAD/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: toronto_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Toronto", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CAD", "normalized_range": { "low": 350.0, "mode": 500.0, "high": 650.0 }, "source_refs": [ "toronto_household", "toronto_statcan_retail_2026m07" ], "source_evidence": [ { "source_id": "toronto_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 updated release", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Ontario and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statistics_canada", "observation_summary": "Survey of Household Spending, 2023 updated release — used as household evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "toronto_statcan_retail_2026m07", "city": "Toronto", "role": "grocery_detail", "publisher": "Statistics Canada", "title": "Monthly average retail prices for selected products", "url": "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810024501", "observation_period": "2026-05 to 2026-07", "retrieved_at": "2026-09-24", "geography": "Ontario", "source_type": "official", "geography_match": "province_proxy", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statistics_canada_retail_prices", "upstream_dataset": "Monthly average retail prices for selected products", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-24", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Exact official source and observation definition checked during the V5.7 Canada detail build.", "observation_summary": "Three-month provincial retail-price observations normalized only where package size differed from the metric definition.", "observation_values": [ { "metric": "food.milk_1l", "low": 3.96, "median": 3.97, "high": 3.97, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.bread_500g", "low": 2.39, "median": 2.41, "high": 2.42, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.rice_1kg", "low": 4.52, "median": 4.62, "high": 4.68, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.eggs_12", "low": 5.0, "median": 5.0, "high": 5.0, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.chicken_1kg", "low": 14.01, "median": 14.14, "high": 14.26, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.red_meat_1kg", "low": 16.15, "median": 16.17, "high": 16.63, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.fish_1kg", "low": 28.03, "median": 28.47, "high": 28.73, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.fruit_1kg", "low": 5.98, "median": 6.14, "high": 6.33, "unit": "CAD", "period": "2026-05 to 2026-07" }, { "metric": "food.vegetables_1kg", "low": 4.71, "median": 4.82, "high": 6.8, "unit": "CAD", "period": "2026-05 to 2026-07" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: toronto_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Toronto", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CAD", "normalized_range": { "low": 150.0, "mode": 240.0, "high": 350.0 }, "source_refs": [ "toronto_household", "toronto_statcan_shs_summary_2023" ], "source_evidence": [ { "source_id": "toronto_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 updated release", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Ontario and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statistics_canada", "observation_summary": "Survey of Household Spending, 2023 updated release — used as household evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "toronto_statcan_shs_summary_2023", "city": "Toronto", "role": "household_calibration", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023", "url": "https://www150.statcan.gc.ca/n1/daily-quotidien/250521/dq250521a-eng.htm", "observation_period": "2023", "retrieved_at": "2026-09-29", "geography": "Canada", "source_type": "official", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_canada_household_spending", "upstream_dataset": "Survey of Household Spending, 2023", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Official HTML release rechecked 2026-09-29. Values are national household calibration points, not Toronto one-person quotes.", "observation_summary": "Canada-level 2023 household-spending benchmarks used only as calibration for categories not directly quoted at Toronto city/persona level.", "observation_values": [ { "metric": "average goods and services spending", "value": 76750, "unit": "CAD/year per household", "period": "2023" }, { "metric": "food purchased from stores", "value": 8659, "unit": "CAD/year per household", "period": "2023" }, { "metric": "food purchased from restaurants", "value": 3351, "unit": "CAD/year per household", "period": "2023" }, { "metric": "personal care", "value": 1860, "unit": "CAD/year per household", "period": "2023" }, { "metric": "household operations, furnishings and equipment", "value": 9404, "unit": "CAD/year per household", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 240.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: toronto_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.625, "high_as_fraction_of_mode": 1.4583, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Toronto", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CAD", "normalized_range": { "low": 143.0, "mode": 155.0, "high": 165.0 }, "source_refs": [ "toronto_transit" ], "source_evidence": [ { "source_id": "toronto_transit", "publisher": "Toronto Transit Commission", "title": "Monthly fare capping", "observation_period": "2026", "geography": "Toronto", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "toronto_transit_commission", "observation_summary": "Monthly fare capping — used as transit evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [ { "metric": "adult single fare", "low": 3.3, "mode": 3.3, "high": 3.35, "unit": "CAD/trip", "period": "2026" }, { "metric": "adult monthly fare cap", "value": 155.1, "unit": "CAD/month", "period": "effective 2026-08-31" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 155.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: toronto_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9226, "high_as_fraction_of_mode": 1.0645, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Toronto", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CAD", "normalized_range": { "low": 120.0, "mode": 180.0, "high": 260.0 }, "source_refs": [ "toronto_household", "toronto_statcan_shs_summary_2023" ], "source_evidence": [ { "source_id": "toronto_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 updated release", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Ontario and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statistics_canada", "observation_summary": "Survey of Household Spending, 2023 updated release — used as household evidence for Toronto. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" }, { "source_id": "toronto_statcan_shs_summary_2023", "city": "Toronto", "role": "household_calibration", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023", "url": "https://www150.statcan.gc.ca/n1/daily-quotidien/250521/dq250521a-eng.htm", "observation_period": "2023", "retrieved_at": "2026-09-29", "geography": "Canada", "source_type": "official", "geography_match": "national_proxy", "quality_score": 3, "freshness_score": 2, "definition_match_score": 2, "independence_cluster": "statistics_canada_household_spending", "upstream_dataset": "Survey of Household Spending, 2023", "dedup_checked": true, "url_verification": "DIRECT_OPEN_CONFIRMED", "external_verified_at": "2026-09-29", "external_verification_status": "DIRECT_REOPEN_CONFIRMED", "external_verification_note": "Official HTML release rechecked 2026-09-29. Values are national household calibration points, not Toronto one-person quotes.", "observation_summary": "Canada-level 2023 household-spending benchmarks used only as calibration for categories not directly quoted at Toronto city/persona level.", "observation_values": [ { "metric": "average goods and services spending", "value": 76750, "unit": "CAD/year per household", "period": "2023" }, { "metric": "food purchased from stores", "value": 8659, "unit": "CAD/year per household", "period": "2023" }, { "metric": "food purchased from restaurants", "value": 3351, "unit": "CAD/year per household", "period": "2023" }, { "metric": "personal care", "value": 1860, "unit": "CAD/year per household", "period": "2023" }, { "metric": "household operations, furnishings and equipment", "value": 9404, "unit": "CAD/year per household", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: toronto_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total. Numeric calibration observations are now captured in the evidence ledger; the displayed range remains a research normalization.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6667, "high_as_fraction_of_mode": 1.4444, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "raw_observation_scope": "CALIBRATION_SUPPORT_NOT_DIRECT_OUTPUT", "raw_observation_note": "At least one numeric source observation is captured and used as a calibration point. The published low/mode/high remains a normalized persona-specific planning range and is not a direct reproduction of the source value.", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Mexico City", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "MXN", "normalized_range": { "low": 10500, "mode": 15000, "high": 20000 }, "source_refs": [ "mexico_city_rent" ], "source_evidence": [ { "source_id": "mexico_city_rent", "publisher": "Inmuebles24", "title": "Current 1-bedroom CDMX rental listings", "observation_period": "2026-09", "geography": "Ciudad de México", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "inmuebles24", "observation_summary": "Current 1-bedroom CDMX rental listings — used as rent evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 15000, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: mexico_city_rent. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3333, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mexico City", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "MXN", "normalized_range": { "low": 900.0, "mode": 1400, "high": 2200 }, "source_refs": [ "mexico_city_household" ], "source_evidence": [ { "source_id": "mexico_city_household", "publisher": "INEGI", "title": "ENIGH 2024 Ciudad de México results", "observation_period": "2024", "geography": "Ciudad de México", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "inegi", "observation_summary": "ENIGH 2024 Ciudad de México results — used as household evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1400, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: mexico_city_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6429, "high_as_fraction_of_mode": 1.5714, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mexico City", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "MXN", "normalized_range": { "low": 3360, "mode": 4800, "high": 6500 }, "source_refs": [ "mexico_city_household" ], "source_evidence": [ { "source_id": "mexico_city_household", "publisher": "INEGI", "title": "ENIGH 2024 Ciudad de México results", "observation_period": "2024", "geography": "Ciudad de México", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "inegi", "observation_summary": "ENIGH 2024 Ciudad de México results — used as household evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4800, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: mexico_city_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3542, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mexico City", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "MXN", "normalized_range": { "low": 1800, "mode": 2800, "high": 4200 }, "source_refs": [ "mexico_city_household" ], "source_evidence": [ { "source_id": "mexico_city_household", "publisher": "INEGI", "title": "ENIGH 2024 Ciudad de México results", "observation_period": "2024", "geography": "Ciudad de México", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "inegi", "observation_summary": "ENIGH 2024 Ciudad de México results — used as household evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2800, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: mexico_city_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6429, "high_as_fraction_of_mode": 1.5, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mexico City", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "MXN", "normalized_range": { "low": 350.0, "mode": 500.0, "high": 800.0 }, "source_refs": [ "mexico_city_transit" ], "source_evidence": [ { "source_id": "mexico_city_transit", "publisher": "Metro CDMX", "title": "Metro system fare reference", "observation_period": "2026", "geography": "Ciudad de México", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 3, "independence_cluster": "metro_cdmx", "observation_summary": "Metro system fare reference — used as transit evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: mexico_city_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.6, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 10 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Mexico City", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "MXN", "normalized_range": { "low": 900.0, "mode": 1400, "high": 2200 }, "source_refs": [ "mexico_city_household" ], "source_evidence": [ { "source_id": "mexico_city_household", "publisher": "INEGI", "title": "ENIGH 2024 Ciudad de México results", "observation_period": "2024", "geography": "Ciudad de México", "role": "household", "quality_score": 3, "freshness_score": 2, "definition_match_score": 3, "independence_cluster": "inegi", "observation_summary": "ENIGH 2024 Ciudad de México results — used as household evidence for Mexico City. The quality/freshness/definition fields document how directly the source maps to the published persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1400, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: mexico_city_household. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6429, "high_as_fraction_of_mode": 1.5714, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Vancouver", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CAD", "normalized_range": { "low": 1645.0, "mode": 2350.0, "high": 3055.0 }, "source_refs": [ "vancouver_rent" ], "source_evidence": [ { "source_id": "vancouver_rent", "publisher": "Statistics Canada", "title": "Quarterly asking rent statistics", "observation_period": "2025-Q4 / 2026-Q2", "geography": "Vancouver CMA", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_rent", "observation_summary": "Official asking-rent series provides current Vancouver rental-market calibration for apartment size bands.", "observation_values": [ { "metric": "1-bedroom asking rent reference", "value": 2320, "unit": "CAD/month", "period": "2025-Q4" }, { "metric": "2-bedroom asking rent reference", "value": 3030, "unit": "CAD/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2350.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: vancouver_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Vancouver", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CAD", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 420.0 }, "source_refs": [ "vancouver_household" ], "source_evidence": [ { "source_id": "vancouver_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / British Columbia and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_household", "observation_summary": "Updated 2023 SHS supports Canadian one-person and provincial consumption calibration; used for non-rent components.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: vancouver_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Vancouver", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CAD", "normalized_range": { "low": 360.0, "mode": 500.0, "high": 675.0 }, "source_refs": [ "vancouver_household" ], "source_evidence": [ { "source_id": "vancouver_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / British Columbia and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_household", "observation_summary": "Updated 2023 SHS supports Canadian one-person and provincial consumption calibration; used for non-rent components.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: vancouver_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Vancouver", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CAD", "normalized_range": { "low": 168.0, "mode": 250.0, "high": 362.0 }, "source_refs": [ "vancouver_household" ], "source_evidence": [ { "source_id": "vancouver_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / British Columbia and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_household", "observation_summary": "Updated 2023 SHS supports Canadian one-person and provincial consumption calibration; used for non-rent components.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: vancouver_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.672, "high_as_fraction_of_mode": 1.448, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Vancouver", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CAD", "normalized_range": { "low": 111.0, "mode": 117.0, "high": 123.0 }, "source_refs": [ "vancouver_transit" ], "source_evidence": [ { "source_id": "vancouver_transit", "publisher": "TransLink", "title": "Transit fares and fare zones", "observation_period": "2026", "geography": "Metro Vancouver", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_transit", "observation_summary": "Current adult fare products used to calibrate a one-zone monthly transit benchmark.", "observation_values": [ { "metric": "1-zone monthly adult pass", "value": 117.2, "unit": "CAD/month", "period": "2026-07" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 117.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: vancouver_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9487, "high_as_fraction_of_mode": 1.0513, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Vancouver", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CAD", "normalized_range": { "low": 117.0, "mode": 180.0, "high": 261.0 }, "source_refs": [ "vancouver_household" ], "source_evidence": [ { "source_id": "vancouver_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / British Columbia and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "vancouver_household", "observation_summary": "Updated 2023 SHS supports Canadian one-person and provincial consumption calibration; used for non-rent components.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: vancouver_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Montréal", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CAD", "normalized_range": { "low": 1120.0, "mode": 1600.0, "high": 2080.0 }, "source_refs": [ "montreal_rent" ], "source_evidence": [ { "source_id": "montreal_rent", "publisher": "Statistics Canada", "title": "Quarterly asking rent statistics", "observation_period": "2025-Q4 / 2026-Q2", "geography": "Montréal CMA", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "montreal_rent", "observation_summary": "Official asking-rent series provides Montréal rental-market calibration.", "observation_values": [ { "metric": "1-bedroom asking rent reference", "value": 1550, "unit": "CAD/month", "period": "2025-Q4" }, { "metric": "2-bedroom asking rent reference", "value": 1820, "unit": "CAD/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1600.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: montreal_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Montréal", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CAD", "normalized_range": { "low": 182.0, "mode": 260.0, "high": 364.0 }, "source_refs": [ "montreal_household" ], "source_evidence": [ { "source_id": "montreal_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Quebec and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statscan_shs_2023", "observation_summary": "Updated 2023 SHS supports Canadian one-person and Quebec consumption calibration.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 260.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: montreal_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Montréal", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CAD", "normalized_range": { "low": 346.0, "mode": 480.0, "high": 648.0 }, "source_refs": [ "montreal_household" ], "source_evidence": [ { "source_id": "montreal_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Quebec and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statscan_shs_2023", "observation_summary": "Updated 2023 SHS supports Canadian one-person and Quebec consumption calibration.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 480.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: montreal_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7208, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Montréal", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CAD", "normalized_range": { "low": 147.0, "mode": 220.0, "high": 319.0 }, "source_refs": [ "montreal_household" ], "source_evidence": [ { "source_id": "montreal_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Quebec and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statscan_shs_2023", "observation_summary": "Updated 2023 SHS supports Canadian one-person and Quebec consumption calibration.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: montreal_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6682, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Montréal", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CAD", "normalized_range": { "low": 110.0, "mode": 110.0, "high": 110.0 }, "source_refs": [ "montreal_transit" ], "source_evidence": [ { "source_id": "montreal_transit", "publisher": "Autorité régionale de transport métropolitain (ARTM) / STM", "title": "Fare schedule — Monthly All Modes A", "observation_period": "effective 2026-07-01", "geography": "Montréal Zone A", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "montreal_transit", "observation_summary": "Current Montréal Zone A monthly transit benchmark is CAD 110.", "observation_values": [ { "metric": "Adult Monthly All Modes A", "value": 110.0, "unit": "CAD/month", "period": "effective 2026-07-01" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 110.0, "rationale": "Current adult Monthly All Modes A benchmark is CAD 110/month. The normalized core transit anchor therefore uses CAD 110 for low/mode/high rather than retaining the superseded CAD 100 planning anchor.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 1.0, "high_as_fraction_of_mode": 1.0, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Montréal", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CAD", "normalized_range": { "low": 110.0, "mode": 170.0, "high": 246.0 }, "source_refs": [ "montreal_household" ], "source_evidence": [ { "source_id": "montreal_household", "publisher": "Statistics Canada", "title": "Survey of Household Spending, 2023 — updated weights", "observation_period": "2023; weights updated 2026-09", "geography": "Canada / Quebec and household-type tables", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "statscan_shs_2023", "observation_summary": "Updated 2023 SHS supports Canadian one-person and Quebec consumption calibration.", "observation_values": [ { "metric": "Canadian average household spending", "value": 76750, "unit": "CAD/year", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 170.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: montreal_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6471, "high_as_fraction_of_mode": 1.4471, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Chicago", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "USD", "normalized_range": { "low": 1225.0, "mode": 1750.0, "high": 2275.0 }, "source_refs": [ "chicago_rent" ], "source_evidence": [ { "source_id": "chicago_rent", "publisher": "Apartment List", "title": "Chicago rent report", "observation_period": "2026-09", "geography": "Chicago", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_rent", "observation_summary": "Large-market current rent index supplies one-bedroom asking-rent benchmark.", "observation_values": [ { "metric": "1-bedroom rent reference", "value": 1759, "unit": "USD/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1750.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: chicago_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Chicago", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "USD", "normalized_range": { "low": 175.0, "mode": 250.0, "high": 350.0 }, "source_refs": [ "chicago_household" ], "source_evidence": [ { "source_id": "chicago_household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in the Chicago Metropolitan Area — 2023–24", "observation_period": "2023-24", "geography": "Chicago-Naperville-Elgin metro", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_household", "observation_summary": "BLS metropolitan consumer expenditure data anchors food, utilities and household-category shares.", "observation_values": [ { "metric": "average annual household expenditures", "value": 85415, "unit": "USD/year" }, { "metric": "food share", "value": 13.7, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: chicago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Chicago", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "USD", "normalized_range": { "low": 324.0, "mode": 450.0, "high": 608.0 }, "source_refs": [ "chicago_household" ], "source_evidence": [ { "source_id": "chicago_household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in the Chicago Metropolitan Area — 2023–24", "observation_period": "2023-24", "geography": "Chicago-Naperville-Elgin metro", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_household", "observation_summary": "BLS metropolitan consumer expenditure data anchors food, utilities and household-category shares.", "observation_values": [ { "metric": "average annual household expenditures", "value": 85415, "unit": "USD/year" }, { "metric": "food share", "value": 13.7, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 450.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: chicago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.3511, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Chicago", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "USD", "normalized_range": { "low": 147.0, "mode": 220.0, "high": 319.0 }, "source_refs": [ "chicago_household" ], "source_evidence": [ { "source_id": "chicago_household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in the Chicago Metropolitan Area — 2023–24", "observation_period": "2023-24", "geography": "Chicago-Naperville-Elgin metro", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_household", "observation_summary": "BLS metropolitan consumer expenditure data anchors food, utilities and household-category shares.", "observation_values": [ { "metric": "average annual household expenditures", "value": 85415, "unit": "USD/year" }, { "metric": "food share", "value": 13.7, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: chicago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6682, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Chicago", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "USD", "normalized_range": { "low": 71.0, "mode": 75.0, "high": 79.0 }, "source_refs": [ "chicago_transit" ], "source_evidence": [ { "source_id": "chicago_transit", "publisher": "Chicago Transit Authority", "title": "Fare information", "observation_period": "2026", "geography": "Chicago", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_transit", "observation_summary": "CTA fare schedule supports regular-transit monthly benchmark.", "observation_values": [ { "metric": "30-day pass", "value": 75, "unit": "USD/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 75.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: chicago_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9467, "high_as_fraction_of_mode": 1.0533, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Chicago", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "USD", "normalized_range": { "low": 110.0, "mode": 170.0, "high": 246.0 }, "source_refs": [ "chicago_household" ], "source_evidence": [ { "source_id": "chicago_household", "publisher": "U.S. Bureau of Labor Statistics", "title": "Consumer Expenditures in the Chicago Metropolitan Area — 2023–24", "observation_period": "2023-24", "geography": "Chicago-Naperville-Elgin metro", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "chicago_household", "observation_summary": "BLS metropolitan consumer expenditure data anchors food, utilities and household-category shares.", "observation_values": [ { "metric": "average annual household expenditures", "value": 85415, "unit": "USD/year" }, { "metric": "food share", "value": 13.7, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 170.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: chicago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6471, "high_as_fraction_of_mode": 1.4471, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Berlin", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 700.0, "mode": 1000.0, "high": 1300.0 }, "source_refs": [ "berlin_rent" ], "source_evidence": [ { "source_id": "berlin_rent", "publisher": "State of Berlin", "title": "Berlin Mietspiegel 2026", "observation_period": "2026", "geography": "Berlin", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_rent", "observation_summary": "Official rent index anchors Berlin rent levels; the CLC range widens for current-market/new-lease mismatch.", "observation_values": [ { "metric": "Mietspiegel median net cold rent", "value": 7.71, "unit": "EUR/m2/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: berlin_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Berlin", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 420.0 }, "source_refs": [ "berlin_household" ], "source_evidence": [ { "source_id": "berlin_household", "publisher": "Destatis", "title": "Private consumption expenditure by household size", "observation_period": "2023; table updated 2026", "geography": "Germany / one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_household", "observation_summary": "Official one-person household expenditure table provides direct category calibration.", "observation_values": [ { "metric": "one-person private consumption", "value": 1918, "unit": "EUR/month" }, { "metric": "food", "value": 254, "unit": "EUR/month" }, { "metric": "housing/energy", "value": 817, "unit": "EUR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: berlin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Berlin", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 252.0, "mode": 350.0, "high": 473.0 }, "source_refs": [ "berlin_household" ], "source_evidence": [ { "source_id": "berlin_household", "publisher": "Destatis", "title": "Private consumption expenditure by household size", "observation_period": "2023; table updated 2026", "geography": "Germany / one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_household", "observation_summary": "Official one-person household expenditure table provides direct category calibration.", "observation_values": [ { "metric": "one-person private consumption", "value": 1918, "unit": "EUR/month" }, { "metric": "food", "value": 254, "unit": "EUR/month" }, { "metric": "housing/energy", "value": 817, "unit": "EUR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: berlin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.3514, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Berlin", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 121.0, "mode": 180.0, "high": 261.0 }, "source_refs": [ "berlin_household" ], "source_evidence": [ { "source_id": "berlin_household", "publisher": "Destatis", "title": "Private consumption expenditure by household size", "observation_period": "2023; table updated 2026", "geography": "Germany / one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_household", "observation_summary": "Official one-person household expenditure table provides direct category calibration.", "observation_values": [ { "metric": "one-person private consumption", "value": 1918, "unit": "EUR/month" }, { "metric": "food", "value": 254, "unit": "EUR/month" }, { "metric": "housing/energy", "value": 817, "unit": "EUR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: berlin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6722, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Berlin", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 60.0, "mode": 63.0, "high": 66.0 }, "source_refs": [ "berlin_transit" ], "source_evidence": [ { "source_id": "berlin_transit", "publisher": "BVG", "title": "Deutschlandticket", "observation_period": "2026", "geography": "Berlin / Germany", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_transit", "observation_summary": "Current Deutschlandticket price used as the regular monthly transit benchmark.", "observation_values": [ { "metric": "Deutschlandticket", "value": 63, "unit": "EUR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 63.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: berlin_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9524, "high_as_fraction_of_mode": 1.0476, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Berlin", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 98.0, "mode": 150.0, "high": 218.0 }, "source_refs": [ "berlin_household" ], "source_evidence": [ { "source_id": "berlin_household", "publisher": "Destatis", "title": "Private consumption expenditure by household size", "observation_period": "2023; table updated 2026", "geography": "Germany / one-person households", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "berlin_household", "observation_summary": "Official one-person household expenditure table provides direct category calibration.", "observation_values": [ { "metric": "one-person private consumption", "value": 1918, "unit": "EUR/month" }, { "metric": "food", "value": 254, "unit": "EUR/month" }, { "metric": "housing/energy", "value": 817, "unit": "EUR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: berlin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6533, "high_as_fraction_of_mode": 1.4533, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Madrid", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 700.0, "mode": 1000.0, "high": 1300.0 }, "source_refs": [ "madrid_rent" ], "source_evidence": [ { "source_id": "madrid_rent", "publisher": "idealista", "title": "Madrid rental price report", "observation_period": "2026-08", "geography": "Madrid", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_rent", "observation_summary": "Current asking-rent index supplies city and outer-district euro-per-square-metre references.", "observation_values": [ { "metric": "city asking rent", "value": 23.3, "unit": "EUR/m2/month", "period": "2026-08" }, { "metric": "outer district example", "value": 17.2, "unit": "EUR/m2/month", "period": "2026-08" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: madrid_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Madrid", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 154.0, "mode": 220.0, "high": 308.0 }, "source_refs": [ "madrid_household" ], "source_evidence": [ { "source_id": "madrid_household", "publisher": "INE Spain", "title": "Household Budget Survey 2025", "observation_period": "2025", "geography": "Comunidad de Madrid", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_household", "observation_summary": "Official HBS per-person expenditure for Madrid region calibrates the non-rent components.", "observation_values": [ { "metric": "mean expenditure per person", "value": 16124, "unit": "EUR/year", "period": "2025" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: madrid_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Madrid", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 230.0, "mode": 320.0, "high": 432.0 }, "source_refs": [ "madrid_household" ], "source_evidence": [ { "source_id": "madrid_household", "publisher": "INE Spain", "title": "Household Budget Survey 2025", "observation_period": "2025", "geography": "Comunidad de Madrid", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_household", "observation_summary": "Official HBS per-person expenditure for Madrid region calibrates the non-rent components.", "observation_values": [ { "metric": "mean expenditure per person", "value": 16124, "unit": "EUR/year", "period": "2025" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 320.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: madrid_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7188, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Madrid", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 121.0, "mode": 180.0, "high": 261.0 }, "source_refs": [ "madrid_household" ], "source_evidence": [ { "source_id": "madrid_household", "publisher": "INE Spain", "title": "Household Budget Survey 2025", "observation_period": "2025", "geography": "Comunidad de Madrid", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_household", "observation_summary": "Official HBS per-person expenditure for Madrid region calibrates the non-rent components.", "observation_values": [ { "metric": "mean expenditure per person", "value": 16124, "unit": "EUR/year", "period": "2025" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: madrid_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6722, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Madrid", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 31.0, "mode": 33.0, "high": 35.0 }, "source_refs": [ "madrid_transit" ], "source_evidence": [ { "source_id": "madrid_transit", "publisher": "Consorcio Regional de Transportes de Madrid", "title": "Abono 30 días", "observation_period": "2026", "geography": "Madrid Zone A", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_transit", "observation_summary": "2026 discounted Zone A 30-day pass is the monthly transit anchor.", "observation_values": [ { "metric": "Zone A normal 30-day pass", "value": 32.7, "unit": "EUR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 33.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: madrid_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9394, "high_as_fraction_of_mode": 1.0606, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Madrid", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 91.0, "mode": 140.0, "high": 203.0 }, "source_refs": [ "madrid_household" ], "source_evidence": [ { "source_id": "madrid_household", "publisher": "INE Spain", "title": "Household Budget Survey 2025", "observation_period": "2025", "geography": "Comunidad de Madrid", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "madrid_household", "observation_summary": "Official HBS per-person expenditure for Madrid region calibrates the non-rent components.", "observation_values": [ { "metric": "mean expenditure per person", "value": 16124, "unit": "EUR/year", "period": "2025" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 140.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: madrid_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Rome", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 630.0, "mode": 900.0, "high": 1170.0 }, "source_refs": [ "rome_rent" ], "source_evidence": [ { "source_id": "rome_rent", "publisher": "Immobiliare.it", "title": "Rome residential rental market", "observation_period": "2026-08", "geography": "Rome", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_rent", "observation_summary": "Current city and outer-area asking-rent per-square-metre data support the one-bedroom normalization.", "observation_values": [ { "metric": "Rome average asking rent", "value": 19.31, "unit": "EUR/m2/month", "period": "2026-08" }, { "metric": "lower-cost outskirts reference", "value": 10.72, "unit": "EUR/m2/month", "period": "2026-08" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 900.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: rome_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Rome", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 154.0, "mode": 220.0, "high": 308.0 }, "source_refs": [ "rome_household" ], "source_evidence": [ { "source_id": "rome_household", "publisher": "Istat", "title": "Household consumption expenditure — 2024", "observation_period": "2024", "geography": "Italy / Central Italy proxy", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_household", "observation_summary": "Official Italian household spending survey provides category-level calibration; geography mismatch prevents high confidence.", "observation_values": [ { "metric": "average monthly household consumption", "value": 2755, "unit": "EUR/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: rome_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Rome", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 238.0, "mode": 330.0, "high": 446.0 }, "source_refs": [ "rome_household" ], "source_evidence": [ { "source_id": "rome_household", "publisher": "Istat", "title": "Household consumption expenditure — 2024", "observation_period": "2024", "geography": "Italy / Central Italy proxy", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_household", "observation_summary": "Official Italian household spending survey provides category-level calibration; geography mismatch prevents high confidence.", "observation_values": [ { "metric": "average monthly household consumption", "value": 2755, "unit": "EUR/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 330.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: rome_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7212, "high_as_fraction_of_mode": 1.3515, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Rome", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 121.0, "mode": 180.0, "high": 261.0 }, "source_refs": [ "rome_household" ], "source_evidence": [ { "source_id": "rome_household", "publisher": "Istat", "title": "Household consumption expenditure — 2024", "observation_period": "2024", "geography": "Italy / Central Italy proxy", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_household", "observation_summary": "Official Italian household spending survey provides category-level calibration; geography mismatch prevents high confidence.", "observation_values": [ { "metric": "average monthly household consumption", "value": 2755, "unit": "EUR/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: rome_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6722, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Rome", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 33.0, "mode": 35.0, "high": 37.0 }, "source_refs": [ "rome_transit" ], "source_evidence": [ { "source_id": "rome_transit", "publisher": "ATAC Roma", "title": "Monthly personal pass Roma", "observation_period": "2026", "geography": "Rome", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_transit", "observation_summary": "Official monthly unlimited Rome pass.", "observation_values": [ { "metric": "monthly personal pass", "value": 35, "unit": "EUR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 35.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: rome_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9429, "high_as_fraction_of_mode": 1.0571, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Rome", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 91.0, "mode": 140.0, "high": 203.0 }, "source_refs": [ "rome_household" ], "source_evidence": [ { "source_id": "rome_household", "publisher": "Istat", "title": "Household consumption expenditure — 2024", "observation_period": "2024", "geography": "Italy / Central Italy proxy", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "rome_household", "observation_summary": "Official Italian household spending survey provides category-level calibration; geography mismatch prevents high confidence.", "observation_values": [ { "metric": "average monthly household consumption", "value": 2755, "unit": "EUR/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 140.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: rome_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Amsterdam", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 1015.0, "mode": 1450.0, "high": 1885.0 }, "source_refs": [ "amsterdam_rent" ], "source_evidence": [ { "source_id": "amsterdam_rent", "publisher": "Pararius", "title": "Netherlands rental market report — Amsterdam", "observation_period": "2026-Q2", "geography": "Amsterdam", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_rent", "observation_summary": "Current new-tenant Amsterdam free-sector rent per square metre supports the target apartment normalization.", "observation_values": [ { "metric": "Amsterdam new-tenant rent", "value": 28.69, "unit": "EUR/m2/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1450.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: amsterdam_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Amsterdam", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 420.0 }, "source_refs": [ "amsterdam_household" ], "source_evidence": [ { "source_id": "amsterdam_household", "publisher": "Statistics Netherlands (CBS)", "title": "Household consumption statistics", "observation_period": "2024 / current trend checks", "geography": "Netherlands", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_household", "observation_summary": "Official household consumption series is used as a national calibration; the city record retains conservative uncertainty.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: amsterdam_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Amsterdam", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 252.0, "mode": 350.0, "high": 473.0 }, "source_refs": [ "amsterdam_household" ], "source_evidence": [ { "source_id": "amsterdam_household", "publisher": "Statistics Netherlands (CBS)", "title": "Household consumption statistics", "observation_period": "2024 / current trend checks", "geography": "Netherlands", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_household", "observation_summary": "Official household consumption series is used as a national calibration; the city record retains conservative uncertainty.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: amsterdam_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.3514, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Amsterdam", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 134.0, "mode": 200.0, "high": 290.0 }, "source_refs": [ "amsterdam_household" ], "source_evidence": [ { "source_id": "amsterdam_household", "publisher": "Statistics Netherlands (CBS)", "title": "Household consumption statistics", "observation_period": "2024 / current trend checks", "geography": "Netherlands", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_household", "observation_summary": "Official household consumption series is used as a national calibration; the city record retains conservative uncertainty.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 200.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: amsterdam_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Amsterdam", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 123.0, "mode": 129.0, "high": 135.0 }, "source_refs": [ "amsterdam_transit" ], "source_evidence": [ { "source_id": "amsterdam_transit", "publisher": "GVB", "title": "GVB Vrij monthly pass rates", "observation_period": "2026", "geography": "Amsterdam", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_transit", "observation_summary": "Official 2026 unlimited GVB monthly pass.", "observation_values": [ { "metric": "GVB Vrij 1 month adult", "value": 129, "unit": "EUR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 129.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: amsterdam_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9535, "high_as_fraction_of_mode": 1.0465, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Amsterdam", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 98.0, "mode": 150.0, "high": 218.0 }, "source_refs": [ "amsterdam_household" ], "source_evidence": [ { "source_id": "amsterdam_household", "publisher": "Statistics Netherlands (CBS)", "title": "Household consumption statistics", "observation_period": "2024 / current trend checks", "geography": "Netherlands", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "amsterdam_household", "observation_summary": "Official household consumption series is used as a national calibration; the city record retains conservative uncertainty.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: amsterdam_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6533, "high_as_fraction_of_mode": 1.4533, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lisbon", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 735.0, "mode": 1050.0, "high": 1365.0 }, "source_refs": [ "lisbon_rent" ], "source_evidence": [ { "source_id": "lisbon_rent", "publisher": "idealista Portugal", "title": "Lisbon rental price report", "observation_period": "2026-08", "geography": "Lisbon", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_rent", "observation_summary": "Current Lisbon asking rent per square metre supports the target 1BR normalization.", "observation_values": [ { "metric": "Lisbon city asking rent", "value": 24.5, "unit": "EUR/m2/month", "period": "2026-08" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1050.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: lisbon_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Lisbon", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 140.0, "mode": 200.0, "high": 280.0 }, "source_refs": [ "lisbon_household" ], "source_evidence": [ { "source_id": "lisbon_household", "publisher": "Statistics Portugal (INE)", "title": "Household expenditure survey summary", "observation_period": "2022-23", "geography": "Lisbon metropolitan area", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_household", "observation_summary": "Official household budget survey provides Lisbon metro expenditure level and category shares.", "observation_values": [ { "metric": "Lisbon metro annual household expenditure", "value": 26891, "unit": "EUR/year", "period": "2022-23" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 200.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: lisbon_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Lisbon", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 202.0, "mode": 280.0, "high": 378.0 }, "source_refs": [ "lisbon_household" ], "source_evidence": [ { "source_id": "lisbon_household", "publisher": "Statistics Portugal (INE)", "title": "Household expenditure survey summary", "observation_period": "2022-23", "geography": "Lisbon metropolitan area", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_household", "observation_summary": "Official household budget survey provides Lisbon metro expenditure level and category shares.", "observation_values": [ { "metric": "Lisbon metro annual household expenditure", "value": 26891, "unit": "EUR/year", "period": "2022-23" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 280.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: lisbon_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7214, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Lisbon", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 107.0, "mode": 160.0, "high": 232.0 }, "source_refs": [ "lisbon_household" ], "source_evidence": [ { "source_id": "lisbon_household", "publisher": "Statistics Portugal (INE)", "title": "Household expenditure survey summary", "observation_period": "2022-23", "geography": "Lisbon metropolitan area", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_household", "observation_summary": "Official household budget survey provides Lisbon metro expenditure level and category shares.", "observation_values": [ { "metric": "Lisbon metro annual household expenditure", "value": 26891, "unit": "EUR/year", "period": "2022-23" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 160.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: lisbon_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6687, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Lisbon", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 38.0, "mode": 40.0, "high": 42.0 }, "source_refs": [ "lisbon_transit" ], "source_evidence": [ { "source_id": "lisbon_transit", "publisher": "Navegante", "title": "Navegante passes and fares", "observation_period": "2026", "geography": "Lisbon metropolitan area", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_transit", "observation_summary": "Metropolitan monthly Navegante pass is used for the transit benchmark.", "observation_values": [ { "metric": "metropolitan monthly pass", "value": 40, "unit": "EUR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 40.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: lisbon_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Lisbon", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 78.0, "mode": 120.0, "high": 174.0 }, "source_refs": [ "lisbon_household" ], "source_evidence": [ { "source_id": "lisbon_household", "publisher": "Statistics Portugal (INE)", "title": "Household expenditure survey summary", "observation_period": "2022-23", "geography": "Lisbon metropolitan area", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lisbon_household", "observation_summary": "Official household budget survey provides Lisbon metro expenditure level and category shares.", "observation_values": [ { "metric": "Lisbon metro annual household expenditure", "value": 26891, "unit": "EUR/year", "period": "2022-23" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 120.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: lisbon_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Dublin", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "EUR", "normalized_range": { "low": 1470.0, "mode": 2100.0, "high": 2730.0 }, "source_refs": [ "dublin_rent" ], "source_evidence": [ { "source_id": "dublin_rent", "publisher": "Daft.ie / market reporting", "title": "Daft rental market report — Dublin", "observation_period": "2026-Q2", "geography": "Dublin", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_rent", "observation_summary": "Current Dublin rental report supplies apartment-market calibration; one-bedroom normalization remains explicit.", "observation_values": [ { "metric": "Dublin 2-bedroom market reference", "value": 2634, "unit": "EUR/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2100.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: dublin_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dublin", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "EUR", "normalized_range": { "low": 175.0, "mode": 250.0, "high": 350.0 }, "source_refs": [ "dublin_household" ], "source_evidence": [ { "source_id": "dublin_household", "publisher": "Central Statistics Office Ireland", "title": "Household Budget Survey 2022–2023 — results and analysis", "observation_period": "2022-23", "geography": "Ireland / single-adult household", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_household", "observation_summary": "Official single-adult HBS directly supports food, fuel/light, housing and other category calibration.", "observation_values": [ { "metric": "1 adult total expenditure", "value": 495.18, "unit": "EUR/week" }, { "metric": "1 adult food", "value": 71.3, "unit": "EUR/week" }, { "metric": "1 adult fuel and light", "value": 44.06, "unit": "EUR/week" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: dublin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dublin", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "EUR", "normalized_range": { "low": 252.0, "mode": 350.0, "high": 473.0 }, "source_refs": [ "dublin_household" ], "source_evidence": [ { "source_id": "dublin_household", "publisher": "Central Statistics Office Ireland", "title": "Household Budget Survey 2022–2023 — results and analysis", "observation_period": "2022-23", "geography": "Ireland / single-adult household", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_household", "observation_summary": "Official single-adult HBS directly supports food, fuel/light, housing and other category calibration.", "observation_values": [ { "metric": "1 adult total expenditure", "value": 495.18, "unit": "EUR/week" }, { "metric": "1 adult food", "value": 71.3, "unit": "EUR/week" }, { "metric": "1 adult fuel and light", "value": 44.06, "unit": "EUR/week" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: dublin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.3514, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dublin", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "EUR", "normalized_range": { "low": 147.0, "mode": 220.0, "high": 319.0 }, "source_refs": [ "dublin_household" ], "source_evidence": [ { "source_id": "dublin_household", "publisher": "Central Statistics Office Ireland", "title": "Household Budget Survey 2022–2023 — results and analysis", "observation_period": "2022-23", "geography": "Ireland / single-adult household", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_household", "observation_summary": "Official single-adult HBS directly supports food, fuel/light, housing and other category calibration.", "observation_values": [ { "metric": "1 adult total expenditure", "value": 495.18, "unit": "EUR/week" }, { "metric": "1 adult food", "value": 71.3, "unit": "EUR/week" }, { "metric": "1 adult fuel and light", "value": 44.06, "unit": "EUR/week" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: dublin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6682, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Dublin", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "EUR", "normalized_range": { "low": 99.0, "mode": 104.0, "high": 109.0 }, "source_refs": [ "dublin_transit" ], "source_evidence": [ { "source_id": "dublin_transit", "publisher": "Transport for Ireland", "title": "Leap Card fare capping — Zone 1 Dublin", "observation_period": "2026", "geography": "Dublin Zone 1", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_transit", "observation_summary": "Official weekly cap is normalized to a monthly regular-usage benchmark.", "observation_values": [ { "metric": "adult weekly cap", "value": 24, "unit": "EUR/week", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 104.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: dublin_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.9519, "high_as_fraction_of_mode": 1.0481, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Dublin", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "EUR", "normalized_range": { "low": 98.0, "mode": 150.0, "high": 218.0 }, "source_refs": [ "dublin_household" ], "source_evidence": [ { "source_id": "dublin_household", "publisher": "Central Statistics Office Ireland", "title": "Household Budget Survey 2022–2023 — results and analysis", "observation_period": "2022-23", "geography": "Ireland / single-adult household", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "dublin_household", "observation_summary": "Official single-adult HBS directly supports food, fuel/light, housing and other category calibration.", "observation_values": [ { "metric": "1 adult total expenditure", "value": 495.18, "unit": "EUR/week" }, { "metric": "1 adult food", "value": 71.3, "unit": "EUR/week" }, { "metric": "1 adult fuel and light", "value": 44.06, "unit": "EUR/week" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 150.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: dublin_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6533, "high_as_fraction_of_mode": 1.4533, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Zurich", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CHF", "normalized_range": { "low": 1120.0, "mode": 1600.0, "high": 2080.0 }, "source_refs": [ "zurich_rent" ], "source_evidence": [ { "source_id": "zurich_rent", "publisher": "City of Zurich Statistics", "title": "Rent prices 2024 in the City of Zurich", "observation_period": "2024", "geography": "Zurich", "role": "rent", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "zurich_rent", "observation_summary": "Official rent survey provides 2-room median and quartiles; gross costs are reported as 10–15% above net.", "observation_values": [ { "metric": "2-room median net rent", "value": 1424, "unit": "CHF/month", "period": "2024" }, { "metric": "2-room 25th percentile", "value": 1095, "unit": "CHF/month" }, { "metric": "2-room 75th percentile", "value": 1836, "unit": "CHF/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1600.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: zurich_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Zurich", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CHF", "normalized_range": { "low": 210.0, "mode": 300.0, "high": 420.0 }, "source_refs": [ "zurich_household" ], "source_evidence": [ { "source_id": "zurich_household", "publisher": "Swiss Federal Statistical Office", "title": "Household Budget Survey", "observation_period": "latest available", "geography": "Switzerland", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "zurich_household", "observation_summary": "Official household budget evidence supplies Swiss category calibration; city-specific rent and transport are separate.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: zurich_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Zurich", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CHF", "normalized_range": { "low": 360.0, "mode": 500.0, "high": 675.0 }, "source_refs": [ "zurich_household" ], "source_evidence": [ { "source_id": "zurich_household", "publisher": "Swiss Federal Statistical Office", "title": "Household Budget Survey", "observation_period": "latest available", "geography": "Switzerland", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "zurich_household", "observation_summary": "Official household budget evidence supplies Swiss category calibration; city-specific rent and transport are separate.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. 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It calibrates the component but does not directly observe this component." }, { "city": "Bangkok", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "THB", "normalized_range": { "low": 2680.0, "mode": 4000.0, "high": 5800.0 }, "source_refs": [ "bangkok_household" ], "source_evidence": [ { "source_id": "bangkok_household", "publisher": "National Statistical Office Thailand", "title": "Household Socio-Economic Survey 2024", "observation_period": "2024", "geography": "Greater Bangkok", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bangkok_household", "observation_summary": "Official household socioeconomic survey supplies Greater Bangkok expenditure level.", "observation_values": [ { "metric": "Greater Bangkok mean monthly household expenditure", "value": 30464, "unit": "THB/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: bangkok_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bangkok", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "THB", "normalized_range": { "low": 1805.0, "mode": 1900.0, "high": 1995.0 }, "source_refs": [ "bangkok_transit" ], "source_evidence": [ { "source_id": "bangkok_transit", "publisher": "Bangkok Expressway and Metro", "title": "MRT fare calculator", "observation_period": "2026", "geography": "Bangkok MRT", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bangkok_transit", "observation_summary": "Official MRT fare calculator supports the normalized 44-trip monthly usage model.", "observation_values": [ { "metric": "representative adult trip", "value": 44, "unit": "THB/trip", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1900.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: bangkok_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Bangkok", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "THB", "normalized_range": { "low": 1625.0, "mode": 2500.0, "high": 3625.0 }, "source_refs": [ "bangkok_household" ], "source_evidence": [ { "source_id": "bangkok_household", "publisher": "National Statistical Office Thailand", "title": "Household Socio-Economic Survey 2024", "observation_period": "2024", "geography": "Greater Bangkok", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bangkok_household", "observation_summary": "Official household socioeconomic survey supplies Greater Bangkok expenditure level.", "observation_values": [ { "metric": "Greater Bangkok mean monthly household expenditure", "value": 30464, "unit": "THB/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: bangkok_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Kuala Lumpur", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "MYR", "normalized_range": { "low": 1260.0, "mode": 1800.0, "high": 2340.0 }, "source_refs": [ "kuala_lumpur_rent" ], "source_evidence": [ { "source_id": "kuala_lumpur_rent", "publisher": "PropertyGuru Malaysia", "title": "Current 1-bedroom apartments for rent in Kuala Lumpur", "observation_period": "2026-09", "geography": "Kuala Lumpur", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_rent", "observation_summary": "Current 1-bedroom listings across transit-connected Kuala Lumpur submarkets support the rental anchor.", "observation_values": [ { "metric": "listing examples", "value": "2600–4100", "unit": "MYR/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1800.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: kuala_lumpur_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Kuala Lumpur", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "MYR", "normalized_range": { "low": 280.0, "mode": 400.0, "high": 560.0 }, "source_refs": [ "kuala_lumpur_household" ], "source_evidence": [ { "source_id": "kuala_lumpur_household", "publisher": "Department of Statistics Malaysia", "title": "Household Expenditure Survey 2024 — W.P. Kuala Lumpur", "observation_period": "2024", "geography": "W.P. Kuala Lumpur", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_household", "observation_summary": "Official city-level household expenditure categories provide strong local calibration.", "observation_values": [ { "metric": "mean monthly household expenditure", "value": 8178, "unit": "MYR/month" }, { "metric": "food and beverages", "value": 976, "unit": "MYR/month" }, { "metric": "housing utilities fuels", "value": 2497, "unit": "MYR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: kuala_lumpur_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Kuala Lumpur", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "MYR", "normalized_range": { "low": 648.0, "mode": 900.0, "high": 1215.0 }, "source_refs": [ "kuala_lumpur_household" ], "source_evidence": [ { "source_id": "kuala_lumpur_household", "publisher": "Department of Statistics Malaysia", "title": "Household Expenditure Survey 2024 — W.P. Kuala Lumpur", "observation_period": "2024", "geography": "W.P. Kuala Lumpur", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_household", "observation_summary": "Official city-level household expenditure categories provide strong local calibration.", "observation_values": [ { "metric": "mean monthly household expenditure", "value": 8178, "unit": "MYR/month" }, { "metric": "food and beverages", "value": 976, "unit": "MYR/month" }, { "metric": "housing utilities fuels", "value": 2497, "unit": "MYR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 900.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: kuala_lumpur_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Kuala Lumpur", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "MYR", "normalized_range": { "low": 469.0, "mode": 700.0, "high": 1015.0 }, "source_refs": [ "kuala_lumpur_household" ], "source_evidence": [ { "source_id": "kuala_lumpur_household", "publisher": "Department of Statistics Malaysia", "title": "Household Expenditure Survey 2024 — W.P. Kuala Lumpur", "observation_period": "2024", "geography": "W.P. Kuala Lumpur", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_household", "observation_summary": "Official city-level household expenditure categories provide strong local calibration.", "observation_values": [ { "metric": "mean monthly household expenditure", "value": 8178, "unit": "MYR/month" }, { "metric": "food and beverages", "value": 976, "unit": "MYR/month" }, { "metric": "housing utilities fuels", "value": 2497, "unit": "MYR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 700.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: kuala_lumpur_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Kuala Lumpur", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "MYR", "normalized_range": { "low": 48.0, "mode": 50.0, "high": 52.0 }, "source_refs": [ "kuala_lumpur_transit" ], "source_evidence": [ { "source_id": "kuala_lumpur_transit", "publisher": "MyRapid", "title": "My50 Unlimited Travel Pass", "observation_period": "2026", "geography": "Klang Valley", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_transit", "observation_summary": "My50 is RM50 for 30 days for eligible Malaysian residents; model retains this as the public-transit benchmark for the local-resident persona.", "observation_values": [ { "metric": "My50", "value": 50, "unit": "MYR/30 days", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 50.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: kuala_lumpur_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.96, "high_as_fraction_of_mode": 1.04, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Kuala Lumpur", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "MYR", "normalized_range": { "low": 228.0, "mode": 350.0, "high": 508.0 }, "source_refs": [ "kuala_lumpur_household" ], "source_evidence": [ { "source_id": "kuala_lumpur_household", "publisher": "Department of Statistics Malaysia", "title": "Household Expenditure Survey 2024 — W.P. Kuala Lumpur", "observation_period": "2024", "geography": "W.P. Kuala Lumpur", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "kuala_lumpur_household", "observation_summary": "Official city-level household expenditure categories provide strong local calibration.", "observation_values": [ { "metric": "mean monthly household expenditure", "value": 8178, "unit": "MYR/month" }, { "metric": "food and beverages", "value": 976, "unit": "MYR/month" }, { "metric": "housing utilities fuels", "value": 2497, "unit": "MYR/month" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: kuala_lumpur_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6514, "high_as_fraction_of_mode": 1.4514, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Taipei", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "TWD", "normalized_range": { "low": 15400.0, "mode": 22000.0, "high": 28600.0 }, "source_refs": [ "taipei_rent" ], "source_evidence": [ { "source_id": "taipei_rent", "publisher": "591 Housing", "title": "Taipei rental market — one-room/one-bedroom reference", "observation_period": "2026-09", "geography": "Taipei", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_rent", "observation_summary": "Current large listing-market median supports the rent anchor, widened for target unit size.", "observation_values": [ { "metric": "1-room median reference", "value": 19800, "unit": "TWD/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 22000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: taipei_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Taipei", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "TWD", "normalized_range": { "low": 1750.0, "mode": 2500.0, "high": 3500.0 }, "source_refs": [ "taipei_household" ], "source_evidence": [ { "source_id": "taipei_household", "publisher": "Taipei City Government Open Data", "title": "Household consumption expenditure statistics", "observation_period": "2024", "geography": "Taipei City", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_household", "observation_summary": "City open-data household consumption tables calibrate non-rent categories.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: taipei_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Taipei", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "TWD", "normalized_range": { "low": 6480.0, "mode": 9000.0, "high": 12150.0 }, "source_refs": [ "taipei_household" ], "source_evidence": [ { "source_id": "taipei_household", "publisher": "Taipei City Government Open Data", "title": "Household consumption expenditure statistics", "observation_period": "2024", "geography": "Taipei City", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_household", "observation_summary": "City open-data household consumption tables calibrate non-rent categories.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 9000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: taipei_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Taipei", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "TWD", "normalized_range": { "low": 3015.0, "mode": 4500.0, "high": 6525.0 }, "source_refs": [ "taipei_household" ], "source_evidence": [ { "source_id": "taipei_household", "publisher": "Taipei City Government Open Data", "title": "Household consumption expenditure statistics", "observation_period": "2024", "geography": "Taipei City", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_household", "observation_summary": "City open-data household consumption tables calibrate non-rent categories.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4500.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: taipei_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Taipei", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "TWD", "normalized_range": { "low": 1140.0, "mode": 1200.0, "high": 1260.0 }, "source_refs": [ "taipei_transit" ], "source_evidence": [ { "source_id": "taipei_transit", "publisher": "Taipei Rapid Transit Corporation", "title": "TPASS / Megacity Pass information", "observation_period": "2026", "geography": "Taipei/New Taipei/Keelung/Taoyuan", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_transit", "observation_summary": "Official monthly metropolitan pass used as transit anchor.", "observation_values": [ { "metric": "monthly pass", "value": 1200, "unit": "TWD/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1200.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: taipei_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Taipei", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "TWD", "normalized_range": { "low": 1625.0, "mode": 2500.0, "high": 3625.0 }, "source_refs": [ "taipei_household" ], "source_evidence": [ { "source_id": "taipei_household", "publisher": "Taipei City Government Open Data", "title": "Household consumption expenditure statistics", "observation_period": "2024", "geography": "Taipei City", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "taipei_household", "observation_summary": "City open-data household consumption tables calibrate non-rent categories.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: taipei_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Manila", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "PHP", "normalized_range": { "low": 10800.0, "mode": 18000.0, "high": 26100.0 }, "source_refs": [ "manila_rent" ], "source_evidence": [ { "source_id": "manila_rent", "publisher": "Lamudi Philippines", "title": "Metro Manila apartments for rent", "observation_period": "2026-09", "geography": "Metro Manila", "role": "rent", "quality_score": 1, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "manila_rent", "observation_summary": "Current listing-market evidence provides a wide Metro Manila one-bedroom reference; source thinness keeps rent confidence Low.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 18000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: manila_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Manila", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "PHP", "normalized_range": { "low": 2400.0, "mode": 4000.0, "high": 6200.0 }, "source_refs": [ "manila_household" ], "source_evidence": [ { "source_id": "manila_household", "publisher": "Philippine Statistics Authority", "title": "2025 Family Income and Expenditure Survey — NCR/HUC preliminary results", "observation_period": "2025 preliminary (released 2026-08-26)", "geography": "National Capital Region; HUC tables available", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "manila_household", "observation_summary": "Current official 2025 FIES evidence: NCR average annual family expenditure and expenditure-group shares are useful calibration context, but family/HUC evidence does not directly measure the published solo-renter persona.", "observation_values": [ { "metric": "NCR average annual family expenditure", "value": 460500, "unit": "PHP/year", "period": "2025 preliminary" }, { "metric": "NCR housing/water/electricity/gas/other fuels share", "value": 27.3, "unit": "percent of annual family expenditure", "period": "2025 preliminary" }, { "metric": "NCR food and non-alcoholic beverages share", "value": 25.7, "unit": "percent of annual family expenditure", "period": "2025 preliminary" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: manila_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Manila", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "PHP", "normalized_range": { "low": 6000.0, "mode": 10000.0, "high": 15000.0 }, "source_refs": [ "manila_household" ], "source_evidence": [ { "source_id": "manila_household", "publisher": "Philippine Statistics Authority", "title": "2025 Family Income and Expenditure Survey — NCR/HUC preliminary results", "observation_period": "2025 preliminary (released 2026-08-26)", "geography": "National Capital Region; HUC tables available", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "manila_household", "observation_summary": "Current official 2025 FIES evidence: NCR average annual family expenditure and expenditure-group shares are useful calibration context, but family/HUC evidence does not directly measure the published solo-renter persona.", "observation_values": [ { "metric": "NCR average annual family expenditure", "value": 460500, "unit": "PHP/year", "period": "2025 preliminary" }, { "metric": "NCR housing/water/electricity/gas/other fuels share", "value": 27.3, "unit": "percent of annual family expenditure", "period": "2025 preliminary" }, { "metric": "NCR food and non-alcoholic beverages share", "value": 25.7, "unit": "percent of annual family expenditure", "period": "2025 preliminary" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 10000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: manila_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Manila", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "PHP", "normalized_range": { "low": 3350.0, "mode": 5000.0, "high": 7250.0 }, "source_refs": [ "manila_household" ], "source_evidence": [ { "source_id": "manila_household", "publisher": "Philippine Statistics Authority", "title": "2025 Family Income and Expenditure Survey — NCR/HUC preliminary results", "observation_period": "2025 preliminary (released 2026-08-26)", "geography": "National Capital Region; HUC tables available", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "manila_household", "observation_summary": "Current official 2025 FIES evidence: NCR average annual family expenditure and expenditure-group shares are useful calibration context, but family/HUC evidence does not directly measure the published solo-renter persona.", "observation_values": [ { "metric": "NCR average annual family expenditure", "value": 460500, "unit": "PHP/year", "period": "2025 preliminary" }, { "metric": "NCR housing/water/electricity/gas/other fuels share", "value": 27.3, "unit": "percent of annual family expenditure", "period": "2025 preliminary" }, { "metric": "NCR food and non-alcoholic beverages share", "value": 25.7, "unit": "percent of annual family expenditure", "period": "2025 preliminary" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: manila_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Manila", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "PHP", "normalized_range": { "low": 750.0, "mode": 1000.0, "high": 1300.0 }, "source_refs": [ "manila_transit" ], "source_evidence": [ { "source_id": "manila_transit", "publisher": "Light Rail Transit Authority", "title": "Tickets and fares", "observation_period": "2026", "geography": "Metro Manila LRT", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "manila_transit", "observation_summary": "Official LRT fare structure supports normalized regular transit usage.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: manila_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Manila", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "PHP", "normalized_range": { "low": 1950.0, "mode": 3000.0, "high": 4350.0 }, "source_refs": [ "manila_household" ], "source_evidence": [ { "source_id": "manila_household", "publisher": "Philippine Statistics Authority", "title": "2025 Family Income and Expenditure Survey — NCR/HUC preliminary results", "observation_period": "2025 preliminary (released 2026-08-26)", "geography": "National Capital Region; HUC tables available", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "manila_household", "observation_summary": "Current official 2025 FIES evidence: NCR average annual family expenditure and expenditure-group shares are useful calibration context, but family/HUC evidence does not directly measure the published solo-renter persona.", "observation_values": [ { "metric": "NCR average annual family expenditure", "value": 460500, "unit": "PHP/year", "period": "2025 preliminary" }, { "metric": "NCR housing/water/electricity/gas/other fuels share", "value": 27.3, "unit": "percent of annual family expenditure", "period": "2025 preliminary" }, { "metric": "NCR food and non-alcoholic beverages share", "value": 25.7, "unit": "percent of annual family expenditure", "period": "2025 preliminary" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: manila_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Ho Chi Minh City", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "VND", "normalized_range": { "low": 5400000.0, "mode": 9000000.0, "high": 13050000.0 }, "source_refs": [ "hcmc_rent" ], "source_evidence": [ { "source_id": "hcmc_rent", "publisher": "Batdongsan.com.vn", "title": "Ho Chi Minh City apartments for rent", "observation_period": "2026-09", "geography": "Ho Chi Minh City", "role": "rent", "quality_score": 1, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "hcmc_rent", "observation_summary": "Large local listing portal used for current apartment-rent calibration; target 1BR normalization remains conservative.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 9000000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: hcmc_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Ho Chi Minh City", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "VND", "normalized_range": { "low": 1080000.0, "mode": 1800000.0, "high": 2790000.0 }, "source_refs": [ "hcmc_household" ], "source_evidence": [ { "source_id": "hcmc_household", "publisher": "National Statistics Office Vietnam", "title": "Results of the Viet Nam Household Living Standards Survey 2024", "observation_period": "2024 (published 2026-03-31)", "geography": "Vietnam; expenditure representative nationally, urban/rural and six socioeconomic regions", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "hcmc_household", "observation_summary": "Official 2024 living-standards expenditure is current and useful as an urban/regional proxy, but it cannot be described as HCMC-specific expenditure evidence.", "observation_values": [ { "metric": "urban per-capita monthly expenditure", "value": 3768000, "unit": "VND/person/month", "period": "2024" }, { "metric": "national per-capita monthly expenditure", "value": 2977000, "unit": "VND/person/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1800000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: hcmc_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Ho Chi Minh City", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "VND", "normalized_range": { "low": 2400000.0, "mode": 4000000.0, "high": 6000000.0 }, "source_refs": [ "hcmc_household" ], "source_evidence": [ { "source_id": "hcmc_household", "publisher": "National Statistics Office Vietnam", "title": "Results of the Viet Nam Household Living Standards Survey 2024", "observation_period": "2024 (published 2026-03-31)", "geography": "Vietnam; expenditure representative nationally, urban/rural and six socioeconomic regions", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "hcmc_household", "observation_summary": "Official 2024 living-standards expenditure is current and useful as an urban/regional proxy, but it cannot be described as HCMC-specific expenditure evidence.", "observation_values": [ { "metric": "urban per-capita monthly expenditure", "value": 3768000, "unit": "VND/person/month", "period": "2024" }, { "metric": "national per-capita monthly expenditure", "value": 2977000, "unit": "VND/person/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4000000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: hcmc_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Ho Chi Minh City", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "VND", "normalized_range": { "low": 1675000.0, "mode": 2500000.0, "high": 3625000.0 }, "source_refs": [ "hcmc_household" ], "source_evidence": [ { "source_id": "hcmc_household", "publisher": "National Statistics Office Vietnam", "title": "Results of the Viet Nam Household Living Standards Survey 2024", "observation_period": "2024 (published 2026-03-31)", "geography": "Vietnam; expenditure representative nationally, urban/rural and six socioeconomic regions", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "hcmc_household", "observation_summary": "Official 2024 living-standards expenditure is current and useful as an urban/regional proxy, but it cannot be described as HCMC-specific expenditure evidence.", "observation_values": [ { "metric": "urban per-capita monthly expenditure", "value": 3768000, "unit": "VND/person/month", "period": "2024" }, { "metric": "national per-capita monthly expenditure", "value": 2977000, "unit": "VND/person/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: hcmc_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Ho Chi Minh City", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "VND", "normalized_range": { "low": 225000.0, "mode": 300000.0, "high": 390000.0 }, "source_refs": [ "hcmc_transit" ], "source_evidence": [ { "source_id": "hcmc_transit", "publisher": "Ho Chi Minh City Metro information", "title": "Metro Line 1 ticket and pass information", "observation_period": "2026", "geography": "Ho Chi Minh City", "role": "transit", "quality_score": 1, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "hcmc_transit", "observation_summary": "Current Metro fare/pass information supports the low car-free public-transport benchmark; network coverage is still limited.", "observation_values": [ { "metric": "monthly pass reference", "value": 300000, "unit": "VND/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: hcmc_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Ho Chi Minh City", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "VND", "normalized_range": { "low": 975000.0, "mode": 1500000.0, "high": 2175000.0 }, "source_refs": [ "hcmc_household" ], "source_evidence": [ { "source_id": "hcmc_household", "publisher": "National Statistics Office Vietnam", "title": "Results of the Viet Nam Household Living Standards Survey 2024", "observation_period": "2024 (published 2026-03-31)", "geography": "Vietnam; expenditure representative nationally, urban/rural and six socioeconomic regions", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "hcmc_household", "observation_summary": "Official 2024 living-standards expenditure is current and useful as an urban/regional proxy, but it cannot be described as HCMC-specific expenditure evidence.", "observation_values": [ { "metric": "urban per-capita monthly expenditure", "value": 3768000, "unit": "VND/person/month", "period": "2024" }, { "metric": "national per-capita monthly expenditure", "value": 2977000, "unit": "VND/person/month", "period": "2024" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: hcmc_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bengaluru", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "INR", "normalized_range": { "low": 12600.0, "mode": 18000.0, "high": 23400.0 }, "source_refs": [ "bengaluru_rent" ], "source_evidence": [ { "source_id": "bengaluru_rent", "publisher": "Magicbricks", "title": "Current 1 BHK flats for rent in Bangalore", "observation_period": "2026-09", "geography": "Bengaluru", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_rent", "observation_summary": "Large current listing set shows 1BHK examples across transit-connected districts and supports the normalized rent anchor.", "observation_values": [ { "metric": "current listing examples", "value": "12600–27000", "unit": "INR/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 18000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: bengaluru_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Bengaluru", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "INR", "normalized_range": { "low": 2100.0, "mode": 3000.0, "high": 4200.0 }, "source_refs": [ "bengaluru_household" ], "source_evidence": [ { "source_id": "bengaluru_household", "publisher": "Government of India / MoSPI", "title": "HCES 2023–24 — Karnataka urban MPCE", "observation_period": "2023-24", "geography": "Karnataka urban", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_household", "observation_summary": "Official state urban monthly per-capita consumption expenditure supports one-adult non-rent calibration.", "observation_values": [ { "metric": "Karnataka urban MPCE", "value": 8076, "unit": "INR/month", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: bengaluru_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bengaluru", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "INR", "normalized_range": { "low": 5040.0, "mode": 7000.0, "high": 9450.0 }, "source_refs": [ "bengaluru_household" ], "source_evidence": [ { "source_id": "bengaluru_household", "publisher": "Government of India / MoSPI", "title": "HCES 2023–24 — Karnataka urban MPCE", "observation_period": "2023-24", "geography": "Karnataka urban", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_household", "observation_summary": "Official state urban monthly per-capita consumption expenditure supports one-adult non-rent calibration.", "observation_values": [ { "metric": "Karnataka urban MPCE", "value": 8076, "unit": "INR/month", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 7000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: bengaluru_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bengaluru", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "INR", "normalized_range": { "low": 2345.0, "mode": 3500.0, "high": 5075.0 }, "source_refs": [ "bengaluru_household" ], "source_evidence": [ { "source_id": "bengaluru_household", "publisher": "Government of India / MoSPI", "title": "HCES 2023–24 — Karnataka urban MPCE", "observation_period": "2023-24", "geography": "Karnataka urban", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_household", "observation_summary": "Official state urban monthly per-capita consumption expenditure supports one-adult non-rent calibration.", "observation_values": [ { "metric": "Karnataka urban MPCE", "value": 8076, "unit": "INR/month", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3500.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: bengaluru_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bengaluru", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "INR", "normalized_range": { "low": 2090.0, "mode": 2200.0, "high": 2310.0 }, "source_refs": [ "bengaluru_transit" ], "source_evidence": [ { "source_id": "bengaluru_transit", "publisher": "Bangalore Metro Rail Corporation", "title": "Namma Metro travel and fare information", "observation_period": "2026", "geography": "Bengaluru", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_transit", "observation_summary": "Official metro fare information underpins a 44-trip normalized monthly transit estimate.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2200.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: bengaluru_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Bengaluru", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "INR", "normalized_range": { "low": 1430.0, "mode": 2200.0, "high": 3190.0 }, "source_refs": [ "bengaluru_household" ], "source_evidence": [ { "source_id": "bengaluru_household", "publisher": "Government of India / MoSPI", "title": "HCES 2023–24 — Karnataka urban MPCE", "observation_period": "2023-24", "geography": "Karnataka urban", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bengaluru_household", "observation_summary": "Official state urban monthly per-capita consumption expenditure supports one-adult non-rent calibration.", "observation_values": [ { "metric": "Karnataka urban MPCE", "value": 8076, "unit": "INR/month", "period": "2023-24" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2200.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: bengaluru_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Riyadh", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "SAR", "normalized_range": { "low": 1800.0, "mode": 3000.0, "high": 4350.0 }, "source_refs": [ "riyadh_rent" ], "source_evidence": [ { "source_id": "riyadh_rent", "publisher": "Bayut Saudi Arabia", "title": "Apartments for rent in Riyadh", "observation_period": "2026-09", "geography": "Riyadh", "role": "rent", "quality_score": 1, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_rent", "observation_summary": "Current asking-rent listings calibrate the one-bedroom anchor; listing mix and lease conventions require a wide band.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 3000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: riyadh_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Riyadh", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "SAR", "normalized_range": { "low": 330.0, "mode": 550.0, "high": 852.0 }, "source_refs": [ "riyadh_household" ], "source_evidence": [ { "source_id": "riyadh_household", "publisher": "General Authority for Statistics Saudi Arabia", "title": "Household Income and Consumption Expenditure Survey 2023", "observation_period": "2023", "geography": "Saudi Arabia / per-capita", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_household", "observation_summary": "Official per-capita consumption survey provides a national anchor; city-specific decomposition remains thin, so Riyadh is provisional.", "observation_values": [ { "metric": "average per-capita monthly consumption expenditure", "value": 2939, "unit": "SAR/month", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 550.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: riyadh_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5491, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Riyadh", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "SAR", "normalized_range": { "low": 600.0, "mode": 1000.0, "high": 1500.0 }, "source_refs": [ "riyadh_household" ], "source_evidence": [ { "source_id": "riyadh_household", "publisher": "General Authority for Statistics Saudi Arabia", "title": "Household Income and Consumption Expenditure Survey 2023", "observation_period": "2023", "geography": "Saudi Arabia / per-capita", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_household", "observation_summary": "Official per-capita consumption survey provides a national anchor; city-specific decomposition remains thin, so Riyadh is provisional.", "observation_values": [ { "metric": "average per-capita monthly consumption expenditure", "value": 2939, "unit": "SAR/month", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: riyadh_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Riyadh", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "SAR", "normalized_range": { "low": 402.0, "mode": 600.0, "high": 870.0 }, "source_refs": [ "riyadh_household" ], "source_evidence": [ { "source_id": "riyadh_household", "publisher": "General Authority for Statistics Saudi Arabia", "title": "Household Income and Consumption Expenditure Survey 2023", "observation_period": "2023", "geography": "Saudi Arabia / per-capita", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_household", "observation_summary": "Official per-capita consumption survey provides a national anchor; city-specific decomposition remains thin, so Riyadh is provisional.", "observation_values": [ { "metric": "average per-capita monthly consumption expenditure", "value": 2939, "unit": "SAR/month", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 600.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: riyadh_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Riyadh", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "SAR", "normalized_range": { "low": 105.0, "mode": 140.0, "high": 182.0 }, "source_refs": [ "riyadh_transit" ], "source_evidence": [ { "source_id": "riyadh_transit", "publisher": "Royal Commission for Riyadh City", "title": "Riyadh Public Transport", "observation_period": "2026", "geography": "Riyadh", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_transit", "observation_summary": "Official public-transport system reference supports the monthly-pass/regular-usage benchmark.", "observation_values": [ { "metric": "30-day regular-use planning anchor", "value": 140, "unit": "SAR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 140.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: riyadh_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Riyadh", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "SAR", "normalized_range": { "low": 260.0, "mode": 400.0, "high": 580.0 }, "source_refs": [ "riyadh_household" ], "source_evidence": [ { "source_id": "riyadh_household", "publisher": "General Authority for Statistics Saudi Arabia", "title": "Household Income and Consumption Expenditure Survey 2023", "observation_period": "2023", "geography": "Saudi Arabia / per-capita", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "riyadh_household", "observation_summary": "Official per-capita consumption survey provides a national anchor; city-specific decomposition remains thin, so Riyadh is provisional.", "observation_values": [ { "metric": "average per-capita monthly consumption expenditure", "value": 2939, "unit": "SAR/month", "period": "2023" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: riyadh_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Doha", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "QAR", "normalized_range": { "low": 2700.0, "mode": 4500.0, "high": 6525.0 }, "source_refs": [ "doha_rent" ], "source_evidence": [ { "source_id": "doha_rent", "publisher": "ValuStrat", "title": "Qatar housing rents — Q2 2026", "observation_period": "2026-Q2", "geography": "Qatar / Doha-heavy apartment market", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "doha_rent", "observation_summary": "Current market report shows average apartment lease rates and Doha transaction dominance.", "observation_values": [ { "metric": "average apartment lease", "value": 5600, "unit": "QAR/month", "period": "2026-Q2" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4500.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: doha_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Doha", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "QAR", "normalized_range": { "low": 300.0, "mode": 500.0, "high": 775.0 }, "source_refs": [ "doha_household" ], "source_evidence": [ { "source_id": "doha_household", "publisher": "Planning and Statistics Authority Qatar", "title": "Qatar Social Statistics — household expenditure", "observation_period": "2018", "geography": "Qatar / non-Qatari households", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "doha_household", "observation_summary": "Official household expenditure survey evidence is old; this intentionally forces provisional treatment.", "observation_values": [ { "metric": "non-Qatari average monthly household spending", "value": 16100, "unit": "QAR/month", "period": "2018" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 500.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: doha_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Doha", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "QAR", "normalized_range": { "low": 600.0, "mode": 1000.0, "high": 1500.0 }, "source_refs": [ "doha_household" ], "source_evidence": [ { "source_id": "doha_household", "publisher": "Planning and Statistics Authority Qatar", "title": "Qatar Social Statistics — household expenditure", "observation_period": "2018", "geography": "Qatar / non-Qatari households", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "doha_household", "observation_summary": "Official household expenditure survey evidence is old; this intentionally forces provisional treatment.", "observation_values": [ { "metric": "non-Qatari average monthly household spending", "value": 16100, "unit": "QAR/month", "period": "2018" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: doha_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Doha", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "QAR", "normalized_range": { "low": 436.0, "mode": 650.0, "high": 942.0 }, "source_refs": [ "doha_household" ], "source_evidence": [ { "source_id": "doha_household", "publisher": "Planning and Statistics Authority Qatar", "title": "Qatar Social Statistics — household expenditure", "observation_period": "2018", "geography": "Qatar / non-Qatari households", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "doha_household", "observation_summary": "Official household expenditure survey evidence is old; this intentionally forces provisional treatment.", "observation_values": [ { "metric": "non-Qatari average monthly household spending", "value": 16100, "unit": "QAR/month", "period": "2018" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 650.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: doha_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6708, "high_as_fraction_of_mode": 1.4492, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Doha", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "QAR", "normalized_range": { "low": 90.0, "mode": 120.0, "high": 156.0 }, "source_refs": [ "doha_transit" ], "source_evidence": [ { "source_id": "doha_transit", "publisher": "Qatar Rail", "title": "Doha Metro and Lusail Tram 30-Day metropass", "observation_period": "2026", "geography": "Doha", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "doha_transit", "observation_summary": "Official 30-day unlimited metro/tram pass.", "observation_values": [ { "metric": "30-day metropass", "value": 120, "unit": "QAR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 120.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: doha_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Doha", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "QAR", "normalized_range": { "low": 260.0, "mode": 400.0, "high": 580.0 }, "source_refs": [ "doha_household" ], "source_evidence": [ { "source_id": "doha_household", "publisher": "Planning and Statistics Authority Qatar", "title": "Qatar Social Statistics — household expenditure", "observation_period": "2018", "geography": "Qatar / non-Qatari households", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "doha_household", "observation_summary": "Official household expenditure survey evidence is old; this intentionally forces provisional treatment.", "observation_values": [ { "metric": "non-Qatari average monthly household spending", "value": 16100, "unit": "QAR/month", "period": "2018" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: doha_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Buenos Aires", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "ARS", "normalized_range": { "low": 450000.0, "mode": 750000.0, "high": 1087500.0 }, "source_refs": [ "buenos_aires_rent" ], "source_evidence": [ { "source_id": "buenos_aires_rent", "publisher": "Unitrank", "title": "Buenos Aires rental market report — September 2026", "observation_period": "2026-09", "geography": "Buenos Aires", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "buenos_aires_rent", "observation_summary": "Current large-listing report supplies base-rent and all-in direct-rental context; CLC uses the base/unfurnished direction conservatively.", "observation_values": [ { "metric": "direct furnished base rent", "value": 613, "unit": "USD/month", "period": "2026-09" }, { "metric": "direct all-in total", "value": 873, "unit": "USD/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 750000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: buenos_aires_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Buenos Aires", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "ARS", "normalized_range": { "low": 54000.0, "mode": 90000.0, "high": 139500.0 }, "source_refs": [ "buenos_aires_household" ], "source_evidence": [ { "source_id": "buenos_aires_household", "publisher": "INDEC Argentina", "title": "National Household Expenditure Survey (ENGHo)", "observation_period": "2017-18", "geography": "Argentina / Greater Buenos Aires tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "buenos_aires_household", "observation_summary": "Official household expenditure evidence is stale relative to current inflation, so Buenos Aires remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 90000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: buenos_aires_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Buenos Aires", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "ARS", "normalized_range": { "low": 180000.0, "mode": 300000.0, "high": 450000.0 }, "source_refs": [ "buenos_aires_household" ], "source_evidence": [ { "source_id": "buenos_aires_household", "publisher": "INDEC Argentina", "title": "National Household Expenditure Survey (ENGHo)", "observation_period": "2017-18", "geography": "Argentina / Greater Buenos Aires tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "buenos_aires_household", "observation_summary": "Official household expenditure evidence is stale relative to current inflation, so Buenos Aires remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: buenos_aires_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Buenos Aires", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "ARS", "normalized_range": { "low": 120600.0, "mode": 180000.0, "high": 261000.0 }, "source_refs": [ "buenos_aires_household" ], "source_evidence": [ { "source_id": "buenos_aires_household", "publisher": "INDEC Argentina", "title": "National Household Expenditure Survey (ENGHo)", "observation_period": "2017-18", "geography": "Argentina / Greater Buenos Aires tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "buenos_aires_household", "observation_summary": "Official household expenditure evidence is stale relative to current inflation, so Buenos Aires remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 180000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: buenos_aires_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Buenos Aires", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "ARS", "normalized_range": { "low": 45000.0, "mode": 60000.0, "high": 78000.0 }, "source_refs": [ "buenos_aires_transit" ], "source_evidence": [ { "source_id": "buenos_aires_transit", "publisher": "Buenos Aires City Government", "title": "Subte fares and passes", "observation_period": "2026", "geography": "Buenos Aires", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "buenos_aires_transit", "observation_summary": "Official urban rail fares support normalized monthly usage.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 60000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: buenos_aires_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Buenos Aires", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "ARS", "normalized_range": { "low": 78000.0, "mode": 120000.0, "high": 174000.0 }, "source_refs": [ "buenos_aires_household" ], "source_evidence": [ { "source_id": "buenos_aires_household", "publisher": "INDEC Argentina", "title": "National Household Expenditure Survey (ENGHo)", "observation_period": "2017-18", "geography": "Argentina / Greater Buenos Aires tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "buenos_aires_household", "observation_summary": "Official household expenditure evidence is stale relative to current inflation, so Buenos Aires remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 120000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: buenos_aires_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Santiago", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "CLP", "normalized_range": { "low": 280000.0, "mode": 400000.0, "high": 520000.0 }, "source_refs": [ "santiago_rent" ], "source_evidence": [ { "source_id": "santiago_rent", "publisher": "Portal Inmobiliario", "title": "Current one-bedroom rentals in Santiago", "observation_period": "2026-09", "geography": "Santiago / Metro region", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_rent", "observation_summary": "Current one-bedroom listing evidence supports the non-prime rent anchor.", "observation_values": [ { "metric": "representative listing band", "value": "320000–520000", "unit": "CLP/month", "period": "2026-09" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 400000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: santiago_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Santiago", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "CLP", "normalized_range": { "low": 70000.0, "mode": 100000.0, "high": 140000.0 }, "source_refs": [ "santiago_household" ], "source_evidence": [ { "source_id": "santiago_household", "publisher": "INE Chile", "title": "Household Budget Survey — Santiago metropolitan capitals", "observation_period": "2021-22 / published 2023", "geography": "Santiago / regional capitals", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_household", "observation_summary": "Official household expenditure survey gives total and category shares for metropolitan households.", "observation_values": [ { "metric": "average monthly household spending", "value": 1451000, "unit": "CLP/month" }, { "metric": "food share", "value": 21.2, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 100000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: santiago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Santiago", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "CLP", "normalized_range": { "low": 158400.0, "mode": 220000.0, "high": 297000.0 }, "source_refs": [ "santiago_household" ], "source_evidence": [ { "source_id": "santiago_household", "publisher": "INE Chile", "title": "Household Budget Survey — Santiago metropolitan capitals", "observation_period": "2021-22 / published 2023", "geography": "Santiago / regional capitals", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_household", "observation_summary": "Official household expenditure survey gives total and category shares for metropolitan households.", "observation_values": [ { "metric": "average monthly household spending", "value": 1451000, "unit": "CLP/month" }, { "metric": "food share", "value": 21.2, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 220000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: santiago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Santiago", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "CLP", "normalized_range": { "low": 80400.0, "mode": 120000.0, "high": 174000.0 }, "source_refs": [ "santiago_household" ], "source_evidence": [ { "source_id": "santiago_household", "publisher": "INE Chile", "title": "Household Budget Survey — Santiago metropolitan capitals", "observation_period": "2021-22 / published 2023", "geography": "Santiago / regional capitals", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_household", "observation_summary": "Official household expenditure survey gives total and category shares for metropolitan households.", "observation_values": [ { "metric": "average monthly household spending", "value": 1451000, "unit": "CLP/month" }, { "metric": "food share", "value": 21.2, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 120000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: santiago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Santiago", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "CLP", "normalized_range": { "low": 34200.0, "mode": 36000.0, "high": 37800.0 }, "source_refs": [ "santiago_transit" ], "source_evidence": [ { "source_id": "santiago_transit", "publisher": "Red Movilidad", "title": "Current fares", "observation_period": "2026", "geography": "Santiago", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_transit", "observation_summary": "Official Red Movilidad fares support the normalized monthly transit model.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 36000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: santiago_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Santiago", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "CLP", "normalized_range": { "low": 52000.0, "mode": 80000.0, "high": 116000.0 }, "source_refs": [ "santiago_household" ], "source_evidence": [ { "source_id": "santiago_household", "publisher": "INE Chile", "title": "Household Budget Survey — Santiago metropolitan capitals", "observation_period": "2021-22 / published 2023", "geography": "Santiago / regional capitals", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "santiago_household", "observation_summary": "Official household expenditure survey gives total and category shares for metropolitan households.", "observation_values": [ { "metric": "average monthly household spending", "value": 1451000, "unit": "CLP/month" }, { "metric": "food share", "value": 21.2, "unit": "percent" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 80000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: santiago_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Bogotá", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "COP", "normalized_range": { "low": 900000.0, "mode": 1500000.0, "high": 2175000.0 }, "source_refs": [ "bogota_rent" ], "source_evidence": [ { "source_id": "bogota_rent", "publisher": "Inmobirexos", "title": "Bogotá 2026 rental price guide", "observation_period": "2026", "geography": "Bogotá", "role": "rent", "quality_score": 1, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bogota_rent", "observation_summary": "Current local rental guide provides one-bedroom/submarket calibration; uncertainty remains wide.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: bogota_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Bogotá", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "COP", "normalized_range": { "low": 180000.0, "mode": 300000.0, "high": 465000.0 }, "source_refs": [ "bogota_household" ], "source_evidence": [ { "source_id": "bogota_household", "publisher": "DANE Colombia", "title": "National Household Budget Survey (ENPH)", "observation_period": "2016-17", "geography": "Bogotá / national household survey tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "bogota_household", "observation_summary": "Official expenditure survey is materially old; Bogotá remains provisional until newer city-level household-budget evidence is linked.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 300000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: bogota_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Bogotá", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "COP", "normalized_range": { "low": 420000.0, "mode": 700000.0, "high": 1050000.0 }, "source_refs": [ "bogota_household" ], "source_evidence": [ { "source_id": "bogota_household", "publisher": "DANE Colombia", "title": "National Household Budget Survey (ENPH)", "observation_period": "2016-17", "geography": "Bogotá / national household survey tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "bogota_household", "observation_summary": "Official expenditure survey is materially old; Bogotá remains provisional until newer city-level household-budget evidence is linked.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 700000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: bogota_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Bogotá", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "COP", "normalized_range": { "low": 234500.0, "mode": 350000.0, "high": 507500.0 }, "source_refs": [ "bogota_household" ], "source_evidence": [ { "source_id": "bogota_household", "publisher": "DANE Colombia", "title": "National Household Budget Survey (ENPH)", "observation_period": "2016-17", "geography": "Bogotá / national household survey tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "bogota_household", "observation_summary": "Official expenditure survey is materially old; Bogotá remains provisional until newer city-level household-budget evidence is linked.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: bogota_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Bogotá", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "COP", "normalized_range": { "low": 117000.0, "mode": 156000.0, "high": 202800.0 }, "source_refs": [ "bogota_transit" ], "source_evidence": [ { "source_id": "bogota_transit", "publisher": "TransMilenio", "title": "System fares", "observation_period": "2026", "geography": "Bogotá", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "bogota_transit", "observation_summary": "Official system fare normalized to 44 trips per month.", "observation_values": [ { "metric": "single fare", "value": 3550, "unit": "COP/trip", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 156000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: bogota_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Bogotá", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "COP", "normalized_range": { "low": 162500.0, "mode": 250000.0, "high": 362500.0 }, "source_refs": [ "bogota_household" ], "source_evidence": [ { "source_id": "bogota_household", "publisher": "DANE Colombia", "title": "National Household Budget Survey (ENPH)", "observation_period": "2016-17", "geography": "Bogotá / national household survey tables", "role": "household", "quality_score": 3, "freshness_score": 0, "definition_match_score": 1, "independence_cluster": "bogota_household", "observation_summary": "Official expenditure survey is materially old; Bogotá remains provisional until newer city-level household-budget evidence is linked.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: bogota_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lima", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "PEN", "normalized_range": { "low": 900.0, "mode": 1500.0, "high": 2175.0 }, "source_refs": [ "lima_rent" ], "source_evidence": [ { "source_id": "lima_rent", "publisher": "Urbania", "title": "Urbania Index Lima — rental market", "observation_period": "2025-26", "geography": "Lima", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lima_rent", "observation_summary": "Market index supplies Lima apartment rent calibration; smaller-unit adjustment is explicit.", "observation_values": [ { "metric": "100m2 reference rent", "value": 3185, "unit": "PEN/month", "period": "late 2025" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: lima_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Lima", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "PEN", "normalized_range": { "low": 150.0, "mode": 250.0, "high": 388.0 }, "source_refs": [ "lima_household" ], "source_evidence": [ { "source_id": "lima_household", "publisher": "INEI Peru", "title": "National Household Survey (ENAHO)", "observation_period": "2025 / 2026 field cycle", "geography": "Peru / Lima extraction pending", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "lima_household", "observation_summary": "Official household survey framework is current but a persona-matched Lima extraction is not linked; Lima remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 250.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: lima_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.552, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lima", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "PEN", "normalized_range": { "low": 390.0, "mode": 650.0, "high": 975.0 }, "source_refs": [ "lima_household" ], "source_evidence": [ { "source_id": "lima_household", "publisher": "INEI Peru", "title": "National Household Survey (ENAHO)", "observation_period": "2025 / 2026 field cycle", "geography": "Peru / Lima extraction pending", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "lima_household", "observation_summary": "Official household survey framework is current but a persona-matched Lima extraction is not linked; Lima remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 650.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: lima_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lima", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "PEN", "normalized_range": { "low": 234.0, "mode": 350.0, "high": 508.0 }, "source_refs": [ "lima_household" ], "source_evidence": [ { "source_id": "lima_household", "publisher": "INEI Peru", "title": "National Household Survey (ENAHO)", "observation_period": "2025 / 2026 field cycle", "geography": "Peru / Lima extraction pending", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "lima_household", "observation_summary": "Official household survey framework is current but a persona-matched Lima extraction is not linked; Lima remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 350.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: lima_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6686, "high_as_fraction_of_mode": 1.4514, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lima", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "PEN", "normalized_range": { "low": 90.0, "mode": 120.0, "high": 156.0 }, "source_refs": [ "lima_transit" ], "source_evidence": [ { "source_id": "lima_transit", "publisher": "Autoridad de Transporte Urbano para Lima y Callao", "title": "Public transport fare information", "observation_period": "2026", "geography": "Lima and Callao", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "lima_transit", "observation_summary": "Official transport authority source supports a conservative normalized monthly public-transit benchmark.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 120.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: lima_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Lima", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "PEN", "normalized_range": { "low": 130.0, "mode": 200.0, "high": 290.0 }, "source_refs": [ "lima_household" ], "source_evidence": [ { "source_id": "lima_household", "publisher": "INEI Peru", "title": "National Household Survey (ENAHO)", "observation_period": "2025 / 2026 field cycle", "geography": "Peru / Lima extraction pending", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 1, "independence_cluster": "lima_household", "observation_summary": "Official household survey framework is current but a persona-matched Lima extraction is not linked; Lima remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 200.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: lima_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Cape Town", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "ZAR", "normalized_range": { "low": 8750.0, "mode": 12500.0, "high": 16250.0 }, "source_refs": [ "cape_town_rent" ], "source_evidence": [ { "source_id": "cape_town_rent", "publisher": "PayProp / market reporting", "title": "Western Cape rental index", "observation_period": "2026", "geography": "Western Cape / Cape Town market", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_rent", "observation_summary": "Current rental index supports Cape Town one-bedroom normalization with a city-market uncertainty band.", "observation_values": [ { "metric": "Western Cape average rent reference", "value": 12125, "unit": "ZAR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12500.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: cape_town_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.3, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Cape Town", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "ZAR", "normalized_range": { "low": 1750.0, "mode": 2500.0, "high": 3500.0 }, "source_refs": [ "cape_town_household" ], "source_evidence": [ { "source_id": "cape_town_household", "publisher": "Statistics South Africa", "title": "Income and Expenditure Survey — municipal results", "observation_period": "2022-23 / published 2025", "geography": "City of Cape Town", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_household", "observation_summary": "Official municipal household expenditure levels provide direct local calibration.", "observation_values": [ { "metric": "average annual household expenditure", "value": 248539, "unit": "ZAR/year" }, { "metric": "median annual household expenditure", "value": 140523, "unit": "ZAR/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: cape_town_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.7, "high_as_fraction_of_mode": 1.4, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Cape Town", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "ZAR", "normalized_range": { "low": 3240.0, "mode": 4500.0, "high": 6075.0 }, "source_refs": [ "cape_town_household" ], "source_evidence": [ { "source_id": "cape_town_household", "publisher": "Statistics South Africa", "title": "Income and Expenditure Survey — municipal results", "observation_period": "2022-23 / published 2025", "geography": "City of Cape Town", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_household", "observation_summary": "Official municipal household expenditure levels provide direct local calibration.", "observation_values": [ { "metric": "average annual household expenditure", "value": 248539, "unit": "ZAR/year" }, { "metric": "median annual household expenditure", "value": 140523, "unit": "ZAR/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 4500.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: cape_town_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.72, "high_as_fraction_of_mode": 1.35, "volatility_class": "volatile", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Cape Town", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "ZAR", "normalized_range": { "low": 1675.0, "mode": 2500.0, "high": 3625.0 }, "source_refs": [ "cape_town_household" ], "source_evidence": [ { "source_id": "cape_town_household", "publisher": "Statistics South Africa", "title": "Income and Expenditure Survey — municipal results", "observation_period": "2022-23 / published 2025", "geography": "City of Cape Town", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_household", "observation_summary": "Official municipal household expenditure levels provide direct local calibration.", "observation_values": [ { "metric": "average annual household expenditure", "value": 248539, "unit": "ZAR/year" }, { "metric": "median annual household expenditure", "value": 140523, "unit": "ZAR/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 2500.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: cape_town_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Cape Town", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "ZAR", "normalized_range": { "low": 1425.0, "mode": 1500.0, "high": 1575.0 }, "source_refs": [ "cape_town_transit" ], "source_evidence": [ { "source_id": "cape_town_transit", "publisher": "MyCiTi", "title": "Fare adjustments 2026", "observation_period": "2026", "geography": "Cape Town", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_transit", "observation_summary": "Official fare schedule supports the monthly regular-use benchmark.", "observation_values": [ { "metric": "monthly pass reference", "value": 1500, "unit": "ZAR/month", "period": "2026" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: cape_town_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.95, "high_as_fraction_of_mode": 1.05, "volatility_class": "admin_or_usage", "confidence": "Medium", "confidence_score": 9 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "DIRECT_COMPONENT_OBSERVATION", "calibration_granularity_note": "At least one captured numeric observation measures this component or a closely matched subcomponent." }, { "city": "Cape Town", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "ZAR", "normalized_range": { "low": 975.0, "mode": 1500.0, "high": 2175.0 }, "source_refs": [ "cape_town_household" ], "source_evidence": [ { "source_id": "cape_town_household", "publisher": "Statistics South Africa", "title": "Income and Expenditure Survey — municipal results", "observation_period": "2022-23 / published 2025", "geography": "City of Cape Town", "role": "household", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "cape_town_household", "observation_summary": "Official municipal household expenditure levels provide direct local calibration.", "observation_values": [ { "metric": "average annual household expenditure", "value": 248539, "unit": "ZAR/year" }, { "metric": "median annual household expenditure", "value": 140523, "unit": "ZAR/year" } ], "evidence_extraction_status": "SOURCE_VALUES_EXTRACTED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 1500.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: cape_town_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Medium", "confidence_score": 8 }, "traceability_status": "RAW_OBSERVATION_CAPTURED", "calibration_granularity": "BROAD_CALIBRATION_OBSERVATION", "calibration_granularity_note": "Captured numeric evidence is broader household or per-person spending context. It calibrates the component but does not directly observe this component." }, { "city": "Nairobi", "component": "rent", "component_label": "long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected", "currency": "KES", "normalized_range": { "low": 33000.0, "mode": 55000.0, "high": 79750.0 }, "source_refs": [ "nairobi_rent" ], "source_evidence": [ { "source_id": "nairobi_rent", "publisher": "BuyRentKenya", "title": "1-bedroom apartments for rent in Nairobi", "observation_period": "2026-09", "geography": "Nairobi", "role": "rent", "quality_score": 2, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "nairobi_rent", "observation_summary": "Current large listing market provides a wide Nairobi one-bedroom reference; CLC normalizes down from larger/premium listings for the target persona.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 55000.0, "rationale": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: nairobi_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.45, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Nairobi", "component": "utilities_connectivity", "component_label": "baseline dwelling utilities plus normal broadband and a mid-tier mobile plan", "currency": "KES", "normalized_range": { "low": 6000.0, "mode": 10000.0, "high": 15500.0 }, "source_refs": [ "nairobi_household" ], "source_evidence": [ { "source_id": "nairobi_household", "publisher": "Kenya National Bureau of Statistics", "title": "Kenya Continuous Household Survey / consumption microdata", "observation_period": "2022", "geography": "Kenya / urban household proxy", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 1, "independence_cluster": "nairobi_household", "observation_summary": "Official consumption microdata are useful but not a current persona-matched Nairobi table, so the city remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 10000.0, "rationale": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: nairobi_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.55, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Nairobi", "component": "groceries", "component_label": "moderate one-adult grocery basket cross-checked against household expenditure evidence", "currency": "KES", "normalized_range": { "low": 13200.0, "mode": 22000.0, "high": 33000.0 }, "source_refs": [ "nairobi_household" ], "source_evidence": [ { "source_id": "nairobi_household", "publisher": "Kenya National Bureau of Statistics", "title": "Kenya Continuous Household Survey / consumption microdata", "observation_period": "2022", "geography": "Kenya / urban household proxy", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 1, "independence_cluster": "nairobi_household", "observation_summary": "Official consumption microdata are useful but not a current persona-matched Nairobi table, so the city remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 22000.0, "rationale": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: nairobi_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.6, "high_as_fraction_of_mode": 1.5, "volatility_class": "volatile", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Nairobi", "component": "eating_out", "component_label": "four casual sit-down plus four low-cost café/fast-casual meals per month", "currency": "KES", "normalized_range": { "low": 8040.0, "mode": 12000.0, "high": 17400.0 }, "source_refs": [ "nairobi_household" ], "source_evidence": [ { "source_id": "nairobi_household", "publisher": "Kenya National Bureau of Statistics", "title": "Kenya Continuous Household Survey / consumption microdata", "observation_period": "2022", "geography": "Kenya / urban household proxy", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 1, "independence_cluster": "nairobi_household", "observation_summary": "Official consumption microdata are useful but not a current persona-matched Nairobi table, so the city remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 12000.0, "rationale": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: nairobi_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.67, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Nairobi", "component": "transit", "component_label": "adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage", "currency": "KES", "normalized_range": { "low": 3750.0, "mode": 5000.0, "high": 6500.0 }, "source_refs": [ "nairobi_transit" ], "source_evidence": [ { "source_id": "nairobi_transit", "publisher": "KNBS / local fare monitoring", "title": "Transport CPI and public-service fare context", "observation_period": "2026", "geography": "Nairobi / Kenya urban", "role": "transit", "quality_score": 3, "freshness_score": 3, "definition_match_score": 2, "independence_cluster": "nairobi_transit", "observation_summary": "No single administered monthly pass exists; model uses a conservative 44-trip matatu/bus usage allowance informed by current transport-price monitoring.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 5000.0, "rationale": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: nairobi_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.75, "high_as_fraction_of_mode": 1.3, "volatility_class": "admin_or_usage", "confidence": "Low", "confidence_score": 6 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." }, { "city": "Nairobi", "component": "household_personal", "component_label": "small recurring household and personal essentials allowance", "currency": "KES", "normalized_range": { "low": 4550.0, "mode": 7000.0, "high": 10150.0 }, "source_refs": [ "nairobi_household" ], "source_evidence": [ { "source_id": "nairobi_household", "publisher": "Kenya National Bureau of Statistics", "title": "Kenya Continuous Household Survey / consumption microdata", "observation_period": "2022", "geography": "Kenya / urban household proxy", "role": "household", "quality_score": 3, "freshness_score": 1, "definition_match_score": 1, "independence_cluster": "nairobi_household", "observation_summary": "Official consumption microdata are useful but not a current persona-matched Nairobi table, so the city remains provisional.", "observation_values": [], "evidence_extraction_status": "SOURCE_METADATA_VERIFIED_RAW_VALUE_NOT_CAPTURED" } ], "normalization": { "status": "DOCUMENTED_RESEARCH_JUDGMENT", "anchor_value": 7000.0, "rationale": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: nairobi_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.", "automatic_raw_source_reproduction": false, "why_not_automatic": "Sources can measure different unit sizes, household structures, geographies, deposits, survey periods or category definitions. The site exposes the normalization choice instead of pretending those mismatches disappear." }, "uncertainty": { "low_as_fraction_of_mode": 0.65, "high_as_fraction_of_mode": 1.45, "volatility_class": "stable", "confidence": "Low", "confidence_score": 5 }, "traceability_status": "SOURCE_LINKED_NORMALIZATION_RAW_OBSERVATION_PENDING", "calibration_granularity": "RAW_OBSERVATION_PENDING", "calibration_granularity_note": "Source metadata is linked, but no numeric observation has yet been captured into the core ledger." } ], "traceability_summary": { "records_total": 282, "records_with_captured_numeric_calibration": 136, "direct_component_observation_records": 77, "broad_calibration_observation_records": 59, "records_pending_raw_observation_capture": 146, "note": "Captured numeric calibration is now split by granularity. Direct component evidence measures the category or a closely matched subcomponent; broad calibration evidence is broader household/per-person spending context. Neither means the normalized planning midpoint is itself a raw observation." } }