{
  "model_id": "CLC-v5.9-global-detail-1",
  "reviewed_at": "2026-09-29",
  "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"
  },
  "cities": {
    "Delhi": {
      "country": "India",
      "currency": "INR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 15400,
          "mode": 22000,
          "high": 28600,
          "source_refs": [
            "delhi_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 2800,
          "mode": 4000,
          "high": 5500,
          "source_refs": [
            "delhi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 6300,
          "mode": 9000,
          "high": 12000,
          "source_refs": [
            "delhi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 2500,
          "mode": 4000,
          "high": 6000,
          "source_refs": [
            "delhi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 1200,
          "mode": 2000,
          "high": 3000,
          "source_refs": [
            "delhi_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 1500,
          "mode": 2500,
          "high": 4000,
          "source_refs": [
            "delhi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 38300,
        "model_mid": 44100,
        "high": 49900,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 40740.48218478342,
          "p50": 44077.48068557966,
          "p85": 47422.01488723073
        },
        "0.35": {
          "p15": 39397.93689113445,
          "p50": 44069.87653186802,
          "p85": 48770.00852816368
        },
        "0.70": {
          "p15": 38307.41600265891,
          "p50": 44048.28015704208,
          "p85": 49900.53557255441
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_rent",
                "publisher": "Housing.com",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_transit",
                "publisher": "Metro2Go",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "delhi_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Shanghai": {
      "country": "China",
      "currency": "CNY",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 2730,
          "mode": 3900,
          "high": 5070,
          "source_refs": [
            "shanghai_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 385.0,
          "mode": 550.0,
          "high": 750.0,
          "source_refs": [
            "shanghai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 910.0,
          "mode": 1300,
          "high": 1700,
          "source_refs": [
            "shanghai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 500.0,
          "mode": 800.0,
          "high": 1200,
          "source_refs": [
            "shanghai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 150.0,
          "mode": 250.0,
          "high": 400.0,
          "source_refs": [
            "shanghai_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 250.0,
          "mode": 400.0,
          "high": 650.0,
          "source_refs": [
            "shanghai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 6340,
        "model_mid": 7290,
        "high": 8250,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 6723.9731272635845,
          "p50": 7301.988789752542,
          "p85": 7880.376182283962
        },
        "0.35": {
          "p15": 6511.030197761836,
          "p50": 7290.928518807166,
          "p85": 8073.281706298454
        },
        "0.70": {
          "p15": 6342.502111608355,
          "p50": 7294.493832038126,
          "p85": 8254.036486870044
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_rent",
                "publisher": "CREPRICE",
                "observation_period": "2026-06"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_household",
                "publisher": "Shanghai Municipal Statistics",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_household",
                "publisher": "Shanghai Municipal Statistics",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_household",
                "publisher": "Shanghai Municipal Statistics",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_transit",
                "publisher": "Shanghai Municipal Government",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "shanghai_household",
                "publisher": "Shanghai Municipal Statistics",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Beijing": {
      "country": "China",
      "currency": "CNY",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 2520,
          "mode": 3600,
          "high": 4680,
          "source_refs": [
            "beijing_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 385.0,
          "mode": 550.0,
          "high": 750.0,
          "source_refs": [
            "beijing_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 875.0,
          "mode": 1250,
          "high": 1650,
          "source_refs": [
            "beijing_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 500.0,
          "mode": 800.0,
          "high": 1200,
          "source_refs": [
            "beijing_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 150.0,
          "mode": 250.0,
          "high": 400.0,
          "source_refs": [
            "beijing_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 250.0,
          "mode": 400.0,
          "high": 650.0,
          "source_refs": [
            "beijing_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 6040,
        "model_mid": 6950,
        "high": 7870,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 6403.285619480994,
          "p50": 6953.911652789446,
          "p85": 7499.944530287261
        },
        "0.35": {
          "p15": 6205.850000480034,
          "p50": 6950.384435983067,
          "p85": 7706.407242407123
        },
        "0.70": {
          "p15": 6039.492228835327,
          "p50": 6940.748694028001,
          "p85": 7870.97848152442
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_rent",
                "publisher": "CREPRICE",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_household",
                "publisher": "Beijing Municipal Government",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_household",
                "publisher": "Beijing Municipal Government",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_household",
                "publisher": "Beijing Municipal Government",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_transit",
                "publisher": "Beijing Municipal Government",
                "observation_period": "2025-04"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "beijing_household",
                "publisher": "Beijing Municipal Government",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Dhaka": {
      "country": "Bangladesh",
      "currency": "BDT",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "Household-spending evidence is old for a fast-moving market and the rent source is listing-based.",
      "components": {
        "rent": {
          "low": 12000,
          "mode": 18000,
          "high": 28000,
          "source_refs": [
            "dhaka_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 4000,
          "mode": 6000,
          "high": 9000,
          "source_refs": [
            "dhaka_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "groceries": {
          "low": 8400,
          "mode": 12000,
          "high": 16000,
          "source_refs": [
            "dhaka_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 3000,
          "mode": 5000,
          "high": 8000,
          "source_refs": [
            "dhaka_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "transit": {
          "low": 2000,
          "mode": 3500,
          "high": 6000,
          "source_refs": [
            "dhaka_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 2000,
          "mode": 3000,
          "high": 5000,
          "source_refs": [
            "dhaka_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 6,
          "confidence": "Low"
        }
      },
      "total": {
        "low": 42500,
        "model_mid": 50100,
        "high": 58400,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 46005.31238081741,
          "p50": 50132.14470591676,
          "p85": 54641.42295153952
        },
        "0.35": {
          "p15": 44013.333013239004,
          "p50": 50098.534331601666,
          "p85": 56663.892357590245
        },
        "0.70": {
          "p15": 42515.18839648019,
          "p50": 49939.39882784001,
          "p85": 58408.1372067152
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_rent",
                "publisher": "Bikroy",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_household",
                "publisher": "Bangladesh Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_household",
                "publisher": "Bangladesh Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_household",
                "publisher": "Bangladesh Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_transit",
                "publisher": "Dhaka Mass Transit Company Limited",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dhaka_household",
                "publisher": "Bangladesh Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Istanbul": {
      "country": "Türkiye",
      "currency": "TRY",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 22400,
          "mode": 32000,
          "high": 45500,
          "source_refs": [
            "istanbul_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 3000,
          "mode": 4500,
          "high": 7000,
          "source_refs": [
            "istanbul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 7700,
          "mode": 11000,
          "high": 15000,
          "source_refs": [
            "istanbul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 3500,
          "mode": 5500,
          "high": 8500,
          "source_refs": [
            "istanbul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 2500,
          "mode": 3630,
          "high": 4500,
          "source_refs": [
            "istanbul_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 2000,
          "mode": 3500,
          "high": 5500,
          "source_refs": [
            "istanbul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 53600,
        "model_mid": 62200,
        "high": 71400,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 56849.25777454274,
          "p50": 62193.996483270006,
          "p85": 68094.8408049276
        },
        "0.35": {
          "p15": 54982.3161035002,
          "p50": 62175.07149198165,
          "p85": 69909.95208894312
        },
        "0.70": {
          "p15": 53645.16424150779,
          "p50": 62107.30392078223,
          "p85": 71374.85251380038
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_rent",
                "publisher": "Emlakjet / Endeksa",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_household",
                "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_household",
                "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_household",
                "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_transit",
                "publisher": "Istanbul Metropolitan Municipality TUHIM",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "istanbul_household",
                "publisher": "Turkish Statistical Institute (TurkStat / TÜİK)",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Mumbai": {
      "country": "India",
      "currency": "INR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 28700,
          "mode": 41000,
          "high": 53300,
          "source_refs": [
            "mumbai_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 3000,
          "mode": 4500,
          "high": 6000,
          "source_refs": [
            "mumbai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 8400,
          "mode": 12000,
          "high": 16000,
          "source_refs": [
            "mumbai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 3500,
          "mode": 5500,
          "high": 8000,
          "source_refs": [
            "mumbai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 1000,
          "mode": 2000,
          "high": 3500,
          "source_refs": [
            "mumbai_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 2000,
          "mode": 3000,
          "high": 5000,
          "source_refs": [
            "mumbai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 59800,
        "model_mid": 68800,
        "high": 77900,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 62999.23362570814,
          "p50": 68796.03148914615,
          "p85": 74677.8684071761
        },
        "0.35": {
          "p15": 61278.990396855945,
          "p50": 68808.4715602325,
          "p85": 76348.21000364138
        },
        "0.70": {
          "p15": 59802.26372251429,
          "p50": 68700.6993224694,
          "p85": 77915.08104388378
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_rent",
                "publisher": "Housing.com",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_transit",
                "publisher": "Reliance Mumbai Metro",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mumbai_household",
                "publisher": "MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Lagos": {
      "country": "Nigeria",
      "currency": "NGN",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "Market dispersion is high and household evidence is a national proxy rather than a city-specific expenditure survey.",
      "components": {
        "rent": {
          "low": 154000,
          "mode": 220000,
          "high": 325000,
          "source_refs": [
            "lagos_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 90000,
          "mode": 150000,
          "high": 250000,
          "source_refs": [
            "lagos_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 7,
          "confidence": "Low"
        },
        "groceries": {
          "low": 160000,
          "mode": 230000,
          "high": 340000,
          "source_refs": [
            "lagos_household",
            "lagos_ghs_panel_state_filter_2023_24"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 7,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 60000,
          "mode": 100000,
          "high": 160000,
          "source_refs": [
            "lagos_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Low"
        },
        "transit": {
          "low": 60000,
          "mode": 100000,
          "high": 180000,
          "source_refs": [
            "lagos_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 40000,
          "mode": 70000,
          "high": 120000,
          "source_refs": [
            "lagos_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Low"
        }
      },
      "total": {
        "low": 781000,
        "model_mid": 931000,
        "high": 1100000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 862162.1233508794,
          "p50": 935260.5229764588,
          "p85": 1011023.817252729
        },
        "0.35": {
          "p15": 814526.0868186239,
          "p50": 931269.2960464437,
          "p85": 1057016.311592064
        },
        "0.70": {
          "p15": 781302.2889246977,
          "p50": 929388.331073103,
          "p85": 1097039.4831678853
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_rent",
                "publisher": "Nigeria Property Centre",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_household",
                "publisher": "National Bureau of Statistics Nigeria",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_household",
                "publisher": "National Bureau of Statistics Nigeria",
                "observation_period": "2023-24"
              },
              {
                "source_id": "lagos_ghs_panel_state_filter_2023_24",
                "publisher": "National Bureau of Statistics Nigeria / World Bank LSMS",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_household",
                "publisher": "National Bureau of Statistics Nigeria",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_transit",
                "publisher": "LAMATA",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lagos_household",
                "publisher": "National Bureau of Statistics Nigeria",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Tokyo": {
      "country": "Japan",
      "currency": "JPY",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 112000,
          "mode": 160000,
          "high": 208000,
          "source_refs": [
            "tokyo_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 16100,
          "mode": 23000,
          "high": 30000,
          "source_refs": [
            "tokyo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 31500,
          "mode": 45000,
          "high": 58500,
          "source_refs": [
            "tokyo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 12000,
          "mode": 18000,
          "high": 28000,
          "source_refs": [
            "tokyo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 8000,
          "mode": 12000,
          "high": 16000,
          "source_refs": [
            "tokyo_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 8000,
          "mode": 12000,
          "high": 18000,
          "source_refs": [
            "tokyo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 238000,
        "model_mid": 272000,
        "high": 306000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 249107.02463591492,
          "p50": 272144.14281873027,
          "p85": 294904.1037019093
        },
        "0.35": {
          "p15": 243051.73312207876,
          "p50": 271813.38238100905,
          "p85": 301045.2873168134
        },
        "0.70": {
          "p15": 237955.5732245522,
          "p50": 271861.6460591742,
          "p85": 306436.0901325066
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "monthly_gross_benchmark": 375854,
        "currency": "JPY",
        "basis": "Tokyo Metropolitan Government June 2026 monthly labour-statistics regularly paid wages for establishments with 5+ regular workers across surveyed industries.",
        "source_refs": [
          "tokyo_tmg_earnings_2026_06"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 4,
        "deeper_evidence_records": 19,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "tokyo_rent",
                "publisher": "AtHome",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "tokyo_household",
                "publisher": "Statistics Bureau of Japan",
                "observation_period": "2025"
              },
              {
                "source_id": "tokyo_tepco_standard_s_2026",
                "publisher": "TEPCO Energy Partner",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "tokyo_tepco_2026_09",
                "publisher": "TEPCO Power Grid",
                "observation_period": "September 2026"
              },
              {
                "source_id": "tokyo_water_2026",
                "publisher": "Tokyo Metropolitan Government Bureau of Waterworks",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "tokyo_sewer_2026",
                "publisher": "Tokyo Metropolitan Government Bureau of Sewerage",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "tokyo_ntt_flets_2026",
                "publisher": "NTT East",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "tokyo_docomo_mobile_2026",
                "publisher": "NTT DOCOMO",
                "observation_period": "reviewed 2026-09-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "tokyo_household",
                "publisher": "Statistics Bureau of Japan",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "tokyo_household",
                "publisher": "Statistics Bureau of Japan",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "tokyo_transit",
                "publisher": "Tokyo Metro",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "tokyo_household",
                "publisher": "Statistics Bureau of Japan",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 2,
        "direct_component_components": 2,
        "broad_calibration_components": 0
      }
    },
    "São Paulo": {
      "country": "Brazil",
      "currency": "BRL",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1750,
          "mode": 2500,
          "high": 3250,
          "source_refs": [
            "s_o_paulo_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 420.0,
          "mode": 600.0,
          "high": 800.0,
          "source_refs": [
            "s_o_paulo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 630.0,
          "mode": 900.0,
          "high": 1200,
          "source_refs": [
            "s_o_paulo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 350.0,
          "mode": 500.0,
          "high": 750.0,
          "source_refs": [
            "s_o_paulo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 250.0,
          "mode": 350.0,
          "high": 500.0,
          "source_refs": [
            "s_o_paulo_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 250.0,
          "mode": 350.0,
          "high": 500.0,
          "source_refs": [
            "s_o_paulo_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 4640,
        "model_mid": 5280,
        "high": 5950,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 4903.525471599792,
          "p50": 5282.100168068917,
          "p85": 5660.622498695278
        },
        "0.35": {
          "p15": 4752.525128064657,
          "p50": 5279.022098335256,
          "p85": 5816.250489655486
        },
        "0.70": {
          "p15": 4637.250253367931,
          "p50": 5279.638898677876,
          "p85": 5951.727684671348
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_rent",
                "publisher": "FipeZAP",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_household",
                "publisher": "Fipe IPC",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_household",
                "publisher": "Fipe IPC",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_household",
                "publisher": "Fipe IPC",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_transit",
                "publisher": "SPTrans",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "s_o_paulo_household",
                "publisher": "Fipe IPC",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Jakarta": {
      "country": "Indonesia",
      "currency": "IDR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 2940000,
          "mode": 4200000,
          "high": 6000000,
          "source_refs": [
            "jakarta_rent",
            "jakarta_rent_cipinang_99co_q3_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 800000,
          "mode": 1200000,
          "high": 1800000,
          "source_refs": [
            "jakarta_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 1050000,
          "mode": 1500000,
          "high": 2000000,
          "source_refs": [
            "jakarta_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 500000,
          "mode": 800000,
          "high": 1200000,
          "source_refs": [
            "jakarta_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 300000,
          "mode": 500000,
          "high": 800000,
          "source_refs": [
            "jakarta_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 400000,
          "mode": 600000,
          "high": 900000,
          "source_refs": [
            "jakarta_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 7850000,
        "model_mid": 9130000,
        "high": 10490000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 8404137.201527337,
          "p50": 9131828.756095776,
          "p85": 9938851.837875558
        },
        "0.35": {
          "p15": 8107082.07364801,
          "p50": 9128068.842143029,
          "p85": 10246728.53232099
        },
        "0.70": {
          "p15": 7854439.639430492,
          "p50": 9108803.55156735,
          "p85": 10491692.766644316
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_rent",
                "publisher": "Cushman & Wakefield",
                "observation_period": "2026-Q1"
              },
              {
                "source_id": "jakarta_rent_cipinang_99co_q3_2026",
                "publisher": "99.co Indonesia",
                "observation_period": "2026-Q3"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_household",
                "publisher": "BPS DKI Jakarta",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_household",
                "publisher": "BPS DKI Jakarta",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_household",
                "publisher": "BPS DKI Jakarta",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_transit",
                "publisher": "TransJakarta",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "jakarta_household",
                "publisher": "BPS DKI Jakarta",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Cairo": {
      "country": "Egypt",
      "currency": "EGP",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The latest directly usable household survey is old relative to current inflation and rental conditions.",
      "components": {
        "rent": {
          "low": 12000,
          "mode": 18000,
          "high": 28000,
          "source_refs": [
            "cairo_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 2500,
          "mode": 4000,
          "high": 6000,
          "source_refs": [
            "cairo_household",
            "cairo_cpi_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 6000,
          "mode": 9000,
          "high": 13000,
          "source_refs": [
            "cairo_household",
            "cairo_cpi_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 2500,
          "mode": 4000,
          "high": 6500,
          "source_refs": [
            "cairo_household",
            "cairo_cpi_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 1500,
          "mode": 2500,
          "high": 4000,
          "source_refs": [
            "cairo_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 1500,
          "mode": 2500,
          "high": 4000,
          "source_refs": [
            "cairo_household",
            "cairo_cpi_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "total": {
        "low": 35600,
        "model_mid": 42300,
        "high": 49700,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 38431.537298068346,
          "p50": 42313.71270661105,
          "p85": 46708.18845583046
        },
        "0.35": {
          "p15": 36907.3477602353,
          "p50": 42256.77053234952,
          "p85": 48271.00483663861
        },
        "0.70": {
          "p15": 35645.09449860791,
          "p50": 42217.77906377021,
          "p85": 49655.12485183334
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_rent",
                "publisher": "Property Finder Egypt",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_household",
                "publisher": "CAPMAS",
                "observation_period": "2021"
              },
              {
                "source_id": "cairo_cpi_2026",
                "publisher": "Central Bank of Egypt / CAPMAS",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_household",
                "publisher": "CAPMAS",
                "observation_period": "2021"
              },
              {
                "source_id": "cairo_cpi_2026",
                "publisher": "Central Bank of Egypt / CAPMAS",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_household",
                "publisher": "CAPMAS",
                "observation_period": "2021"
              },
              {
                "source_id": "cairo_cpi_2026",
                "publisher": "Central Bank of Egypt / CAPMAS",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_transit",
                "publisher": "Cairo Governorate",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cairo_household",
                "publisher": "CAPMAS",
                "observation_period": "2021"
              },
              {
                "source_id": "cairo_cpi_2026",
                "publisher": "Central Bank of Egypt / CAPMAS",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Seoul": {
      "country": "South Korea",
      "currency": "KRW",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 735000,
          "mode": 1050000,
          "high": 1360000,
          "source_refs": [
            "seoul_rent",
            "seoul_rent_size_validation_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 154000,
          "mode": 220000,
          "high": 300000,
          "source_refs": [
            "seoul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 7,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 315000,
          "mode": 450000,
          "high": 600000,
          "source_refs": [
            "seoul_household",
            "seoul_regional_income_expenditure_kosis",
            "seoul_current_consumer_spend_kcb"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 220000,
          "mode": 300000,
          "high": 420000,
          "source_refs": [
            "seoul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Medium"
        },
        "transit": {
          "low": 50000,
          "mode": 62000,
          "high": 80000,
          "source_refs": [
            "seoul_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 100000,
          "mode": 150000,
          "high": 220000,
          "source_refs": [
            "seoul_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 1990000,
        "model_mid": 2260000,
        "high": 2540000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2100919.447403877,
          "p50": 2261991.521937394,
          "p85": 2425360.0570197813
        },
        "0.35": {
          "p15": 2037326.3944313028,
          "p50": 2262765.2435866427,
          "p85": 2487099.8177544046
        },
        "0.70": {
          "p15": 1985710.8376716336,
          "p50": 2258201.3268288868,
          "p85": 2540309.252420442
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 5,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "seoul_rent",
                "publisher": "NewsPim / Dabang",
                "observation_period": "2026-07"
              },
              {
                "source_id": "seoul_rent_size_validation_2026",
                "publisher": "KoreaHomeGuide / MOLIT",
                "observation_period": "through 2026-08"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "seoul_household",
                "publisher": "Statistics Korea",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "seoul_household",
                "publisher": "Statistics Korea",
                "observation_period": "2025"
              },
              {
                "source_id": "seoul_regional_income_expenditure_kosis",
                "publisher": "Seoul Data Hub / KOSIS",
                "observation_period": "annual series current at 2026-09"
              },
              {
                "source_id": "seoul_current_consumer_spend_kcb",
                "publisher": "Seoul Data Hub / KCB",
                "observation_period": "2026 monthly series"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "seoul_household",
                "publisher": "Statistics Korea",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "seoul_transit",
                "publisher": "Seoul Metropolitan Government",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "seoul_household",
                "publisher": "Statistics Korea",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 1,
        "direct_component_components": 1,
        "broad_calibration_components": 0
      }
    },
    "New York": {
      "country": "United States",
      "currency": "USD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1720,
          "mode": 2450,
          "high": 3180,
          "source_refs": [
            "new_york_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 196.0,
          "mode": 280.0,
          "high": 364.0,
          "source_refs": [
            "new_york_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 350.0,
          "mode": 500.0,
          "high": 650.0,
          "source_refs": [
            "new_york_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 180.0,
          "mode": 260.0,
          "high": 360.0,
          "source_refs": [
            "new_york_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 140.0,
          "mode": 152.0,
          "high": 170.0,
          "source_refs": [
            "new_york_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 120.0,
          "mode": 180.0,
          "high": 250.0,
          "source_refs": [
            "new_york_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 3370,
        "model_mid": 3840,
        "high": 4300,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3494.6774122249963,
          "p50": 3835.852374191364,
          "p85": 4173.110861244174
        },
        "0.35": {
          "p15": 3433.3149575470347,
          "p50": 3835.4166751104394,
          "p85": 4237.658678375317
        },
        "0.70": {
          "p15": 3373.5195481102514,
          "p50": 3830.8523738102695,
          "p85": 4297.439736675582
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_mean": 86320.0,
        "monthly_gross_mean": 7193.33,
        "currency": "USD",
        "basis": "BLS OEWS all-occupations mean hourly wage, May 2025; annualized at 2,080 hours and divided by 12.",
        "source_refs": [
          "new_york_bls_oews_2025"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 22,
        "core_evidence_state": "DIRECT_COMPONENT_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_rent",
                "publisher": "Leasebreak/LeaseSwap NYC",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              },
              {
                "source_id": "new_york_bls_electricity_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "new_york_bls_natural_gas_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "new_york_bls_other_fuels_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "new_york_bls_water_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "new_york_bls_mobile_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_transit",
                "publisher": "MTA",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "new_york_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 6,
        "broad_calibration_components": 0
      }
    },
    "London": {
      "country": "United Kingdom",
      "currency": "GBP",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1160,
          "mode": 1650,
          "high": 2140,
          "source_refs": [
            "london_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 196.0,
          "mode": 280.0,
          "high": 364.0,
          "source_refs": [
            "london_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 231.0,
          "mode": 330.0,
          "high": 429.0,
          "source_refs": [
            "london_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 120.0,
          "mode": 180.0,
          "high": 260.0,
          "source_refs": [
            "london_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 172.0,
          "mode": 202.0,
          "high": 247.0,
          "source_refs": [
            "london_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: london_transit. Mode is an explicit research-normalized anchor; low/high encode documented uncertainty rather than copying a competitor total.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 100.0,
          "mode": 150.0,
          "high": 220.0,
          "source_refs": [
            "london_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 2470,
        "model_mid": 2810,
        "high": 3150,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2581.112997328424,
          "p50": 2810.8776131717113,
          "p85": 3039.9657629541475
        },
        "0.35": {
          "p15": 2523.3886193623334,
          "p50": 2809.229008616781,
          "p85": 3102.2523332700125
        },
        "0.70": {
          "p15": 2468.9277276030425,
          "p50": 2809.4181329901576,
          "p85": 3148.217813080177
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      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "monthly_gross_benchmark": 3082,
        "currency": "GBP",
        "basis": "ONS seasonally adjusted median monthly PAYE pay for London, May 2026.",
        "source_refs": [
          "london_ons_pay_2026_05"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 3,
        "deeper_evidence_records": 20,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "london_rent",
                "publisher": "Office for National Statistics",
                "observation_period": "2026-07"
              },
              {
                "source_id": "london_ons_ealing_rents_2026_08",
                "publisher": "Office for National Statistics",
                "observation_period": "August 2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "london_household",
                "publisher": "Office for National Statistics",
                "observation_period": "2024-25"
              },
              {
                "source_id": "london_ofgem_cap_2026_q3",
                "publisher": "Ofgem",
                "observation_period": "1 Jul–30 Sep 2026"
              },
              {
                "source_id": "london_thames_water_2026_27",
                "publisher": "Thames Water",
                "observation_period": "2026–27"
              },
              {
                "source_id": "london_bt_full_fibre_2026",
                "publisher": "BT",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "london_ee_sim_2026",
                "publisher": "EE",
                "observation_period": "reviewed 2026-09-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "london_household",
                "publisher": "Office for National Statistics",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "london_household",
                "publisher": "Office for National Statistics",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "london_transit",
                "publisher": "Transport for London",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "london_household",
                "publisher": "Office for National Statistics",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 3,
        "direct_component_components": 3,
        "broad_calibration_components": 0
      }
    },
    "Los Angeles": {
      "country": "United States",
      "currency": "USD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1300,
          "mode": 1850,
          "high": 2400,
          "source_refs": [
            "los_angeles_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 400.0,
          "source_refs": [
            "los_angeles_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 364.0,
          "mode": 520.0,
          "high": 680.0,
          "source_refs": [
            "los_angeles_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 180.0,
          "mode": 260.0,
          "high": 380.0,
          "source_refs": [
            "los_angeles_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 72.0,
          "mode": 78.0,
          "high": 95.0,
          "source_refs": [
            "los_angeles_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 120.0,
          "mode": 180.0,
          "high": 250.0,
          "source_refs": [
            "los_angeles_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 2820,
        "model_mid": 3210,
        "high": 3610,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2948.648563233878,
          "p50": 3212.972763357006,
          "p85": 3473.7632726889306
        },
        "0.35": {
          "p15": 2882.1516109504882,
          "p50": 3214.632345769497,
          "p85": 3547.5220297824194
        },
        "0.70": {
          "p15": 2820.478617952533,
          "p50": 3212.4896558424007,
          "p85": 3611.8492234984114
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      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_mean": 77272.0,
        "monthly_gross_mean": 6439.33,
        "currency": "USD",
        "basis": "BLS OEWS all-occupations mean hourly wage, May 2025; annualized at 2,080 hours and divided by 12.",
        "source_refs": [
          "los_angeles_bls_oews_2025"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 22,
        "core_evidence_state": "DIRECT_COMPONENT_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_rent",
                "publisher": "Apartment List",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              },
              {
                "source_id": "los_angeles_bls_electricity_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "los_angeles_bls_natural_gas_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "los_angeles_bls_other_fuels_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "los_angeles_bls_water_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              },
              {
                "source_id": "los_angeles_bls_mobile_2024",
                "publisher": "Federal Reserve Bank of St. Louis (FRED); source: U.S. Bureau of Labor Statistics",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_transit",
                "publisher": "LA Metro",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "los_angeles_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 6,
        "broad_calibration_components": 0
      }
    },
    "Singapore": {
      "country": "Singapore",
      "currency": "SGD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 2030,
          "mode": 2900,
          "high": 3770,
          "source_refs": [
            "singapore_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 175.0,
          "mode": 250.0,
          "high": 330.0,
          "source_refs": [
            "singapore_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 336.0,
          "mode": 480.0,
          "high": 650.0,
          "source_refs": [
            "singapore_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 180.0,
          "mode": 260.0,
          "high": 380.0,
          "source_refs": [
            "singapore_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 100.0,
          "mode": 122.0,
          "high": 150.0,
          "source_refs": [
            "singapore_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 120.0,
          "mode": 180.0,
          "high": 250.0,
          "source_refs": [
            "singapore_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 3690,
        "model_mid": 4220,
        "high": 4750,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3821.527923784156,
          "p50": 4224.332254022174,
          "p85": 4625.746516148439
        },
        "0.35": {
          "p15": 3750.987699792518,
          "p50": 4221.38085959968,
          "p85": 4686.966276268121
        },
        "0.70": {
          "p15": 3688.262910814913,
          "p50": 4217.517482092189,
          "p85": 4754.738652647027
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "monthly_gross_benchmark": 5775,
        "currency": "SGD",
        "basis": "MOM 2025 median gross monthly income from employment for full-time employed residents, including employer/platform CPF contributions.",
        "source_refs": [
          "singapore_mom_income_2025"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 4,
        "deeper_evidence_records": 19,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "singapore_rent",
                "publisher": "Singapore Government Data / HDB",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "singapore_household",
                "publisher": "Singapore Department of Statistics",
                "observation_period": "2023"
              },
              {
                "source_id": "singapore_starhub_broadband_2026",
                "publisher": "StarHub",
                "observation_period": "reviewed 2026-09-24"
              },
              {
                "source_id": "singapore_starhub_mobile_2026",
                "publisher": "StarHub",
                "observation_period": "2026 / reviewed 2026-09-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "singapore_household",
                "publisher": "Singapore Department of Statistics",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "singapore_household",
                "publisher": "Singapore Department of Statistics",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "singapore_transit",
                "publisher": "Public Transport Council Singapore",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "singapore_household",
                "publisher": "Singapore Department of Statistics",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 2,
        "direct_component_components": 2,
        "broad_calibration_components": 0
      }
    },
    "Sydney": {
      "country": "Australia",
      "currency": "AUD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1960,
          "mode": 2800,
          "high": 3640,
          "source_refs": [
            "sydney_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 231.0,
          "mode": 330.0,
          "high": 450.0,
          "source_refs": [
            "sydney_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 406.0,
          "mode": 580.0,
          "high": 754.0,
          "source_refs": [
            "sydney_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 220.0,
          "mode": 320.0,
          "high": 450.0,
          "source_refs": [
            "sydney_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 150.0,
          "mode": 217.0,
          "high": 250.0,
          "source_refs": [
            "sydney_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 150.0,
          "mode": 220.0,
          "high": 300.0,
          "source_refs": [
            "sydney_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 3920,
        "model_mid": 4480,
        "high": 5030,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 4083.5692633050503,
          "p50": 4478.211005923493,
          "p85": 4868.6461017472875
        },
        "0.35": {
          "p15": 3997.5942702227712,
          "p50": 4475.846982077827,
          "p85": 4950.800851518637
        },
        "0.70": {
          "p15": 3920.819042352819,
          "p50": 4476.960134368236,
          "p85": 5033.168248194239
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_rent",
                "publisher": "NSW Department of Communities and Justice",
                "observation_period": "2026-06"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_transit",
                "publisher": "Transport for NSW",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "sydney_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Hong Kong": {
      "country": "Hong Kong",
      "currency": "HKD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 9800,
          "mode": 14000,
          "high": 18200,
          "source_refs": [
            "hong_kong_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 840.0,
          "mode": 1200,
          "high": 1600,
          "source_refs": [
            "hong_kong_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 2240,
          "mode": 3200,
          "high": 4200,
          "source_refs": [
            "hong_kong_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 1200,
          "mode": 1800,
          "high": 2600,
          "source_refs": [
            "hong_kong_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 500.0,
          "mode": 800.0,
          "high": 1200,
          "source_refs": [
            "hong_kong_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 700.0,
          "mode": 1000,
          "high": 1500,
          "source_refs": [
            "hong_kong_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 19400,
        "model_mid": 22200,
        "high": 25000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 20229.20135574093,
          "p50": 22185.138422322027,
          "p85": 24143.88095482888
        },
        "0.35": {
          "p15": 19756.26510639584,
          "p50": 22180.39412185461,
          "p85": 24608.703004798077
        },
        "0.70": {
          "p15": 19375.807664292006,
          "p50": 22183.495943740665,
          "p85": 25015.084040382386
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_rent",
                "publisher": "Hong Kong Rating and Valuation Department",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_household",
                "publisher": "Hong Kong Census and Statistics Department",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_household",
                "publisher": "Hong Kong Census and Statistics Department",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_household",
                "publisher": "Hong Kong Census and Statistics Department",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_transit",
                "publisher": "MTR",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hong_kong_household",
                "publisher": "Hong Kong Census and Statistics Department",
                "observation_period": "2024-25"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Dubai": {
      "country": "United Arab Emirates",
      "currency": "AED",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "Current rent, transit and grocery-price evidence is strong, but the latest completed 2024 household survey does not yet have linked result tables in this build. Non-housing absolute spending still relies partly on an older official HIES baseline calibrated with newer price evidence.",
      "components": {
        "rent": {
          "low": 3570,
          "mode": 5100,
          "high": 6630,
          "source_refs": [
            "dubai_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 700.0,
          "mode": 1000,
          "high": 1400,
          "source_refs": [
            "dubai_hies_2014_2015_per_capita",
            "dubai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 910.0,
          "mode": 1300,
          "high": 1700,
          "source_refs": [
            "dubai_hies_2014_2015_per_capita",
            "dubai_household",
            "dubai_essential_goods_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 550.0,
          "mode": 800.0,
          "high": 1200,
          "source_refs": [
            "dubai_hies_2014_2015_per_capita",
            "dubai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 250.0,
          "mode": 400.0,
          "high": 650.0,
          "source_refs": [
            "dubai_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 300.0,
          "mode": 450.0,
          "high": 650.0,
          "source_refs": [
            "dubai_hies_2014_2015_per_capita",
            "dubai_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "total": {
        "low": 8000,
        "model_mid": 9170,
        "high": 10400,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 8445.571344411657,
          "p50": 9181.61462671548,
          "p85": 9923.65160826883
        },
        "0.35": {
          "p15": 8205.967713992084,
          "p50": 9171.634322975631,
          "p85": 10164.432468787189
        },
        "0.70": {
          "p15": 8002.610066668803,
          "p50": 9167.172072283533,
          "p85": 10369.161343776792
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dubai_rent",
                "publisher": "Bayut",
                "observation_period": "2026-H1"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dubai_hies_2014_2015_per_capita",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2014 (HIES 2014/2015)"
              },
              {
                "source_id": "dubai_household",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dubai_hies_2014_2015_per_capita",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2014 (HIES 2014/2015)"
              },
              {
                "source_id": "dubai_household",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2025"
              },
              {
                "source_id": "dubai_essential_goods_2026",
                "publisher": "UAE Ministry of Economy & Tourism",
                "observation_period": "2026-08/09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dubai_hies_2014_2015_per_capita",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2014 (HIES 2014/2015)"
              },
              {
                "source_id": "dubai_household",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dubai_transit",
                "publisher": "Roads and Transport Authority Dubai",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dubai_hies_2014_2015_per_capita",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2014 (HIES 2014/2015)"
              },
              {
                "source_id": "dubai_household",
                "publisher": "Dubai Statistics Center",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 5,
        "broad_calibration_components": 0
      }
    },
    "Paris": {
      "country": "France",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 840.0,
          "mode": 1200,
          "high": 1560,
          "source_refs": [
            "paris_rent",
            "paris_private_renter_burden_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 161.0,
          "mode": 230.0,
          "high": 300.0,
          "source_refs": [
            "paris_household",
            "paris_energy_vulnerability_idf_2026"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 252.0,
          "mode": 360.0,
          "high": 470.0,
          "source_refs": [
            "paris_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 130.0,
          "mode": 190.0,
          "high": 280.0,
          "source_refs": [
            "paris_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Medium"
        },
        "transit": {
          "low": 90.8,
          "mode": 90.8,
          "high": 110.0,
          "source_refs": [
            "paris_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 100.0,
          "mode": 150.0,
          "high": 220.0,
          "source_refs": [
            "paris_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 7,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 1970,
        "model_mid": 2250,
        "high": 2520,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2070.1476351572246,
          "p50": 2243.961836281459,
          "p85": 2418.4298882928233
        },
        "0.35": {
          "p15": 2022.0460157592775,
          "p50": 2245.8710213369704,
          "p85": 2473.1057792001498
        },
        "0.70": {
          "p15": 1971.466579815545,
          "p50": 2242.725492471928,
          "p85": 2518.5409550920417
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_rent",
                "publisher": "OLAP",
                "observation_period": "2025"
              },
              {
                "source_id": "paris_private_renter_burden_2026",
                "publisher": "INSEE Île-de-France / OLAP",
                "observation_period": "published 2026-05; underlying renter data 2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_household",
                "publisher": "INSEE",
                "observation_period": "2025"
              },
              {
                "source_id": "paris_energy_vulnerability_idf_2026",
                "publisher": "INSEE Île-de-France",
                "observation_period": "published 2026-02; modelled household data 2021"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_household",
                "publisher": "INSEE",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_household",
                "publisher": "INSEE",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_transit",
                "publisher": "Île-de-France Mobilités",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "paris_household",
                "publisher": "INSEE",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Toronto": {
      "country": "Canada",
      "currency": "CAD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1750,
          "mode": 2500,
          "high": 3250,
          "source_refs": [
            "toronto_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 400.0,
          "source_refs": [
            "toronto_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 350.0,
          "mode": 500.0,
          "high": 650.0,
          "source_refs": [
            "toronto_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 150.0,
          "mode": 240.0,
          "high": 350.0,
          "source_refs": [
            "toronto_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 143.0,
          "mode": 155.0,
          "high": 165.0,
          "source_refs": [
            "toronto_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 120.0,
          "mode": 180.0,
          "high": 260.0,
          "source_refs": [
            "toronto_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 3410,
        "model_mid": 3890,
        "high": 4370,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3540.5438414253995,
          "p50": 3890.894861733885,
          "p85": 4239.611489305598
        },
        "0.35": {
          "p15": 3474.420235767897,
          "p50": 3887.944100339416,
          "p85": 4305.767081584666
        },
        "0.70": {
          "p15": 3413.1484470947175,
          "p50": 3887.897688462141,
          "p85": 4369.0868704349405
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_median": 62200.0,
        "monthly_gross_median": 5183.33,
        "currency": "CAD",
        "basis": "Median wages, salaries and commissions excluding zeros, age 25–54, total gender, city geography, 2024; monthly gross equivalent.",
        "source_refs": [
          "toronto_statcan_income_2024"
        ]
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 27,
        "core_evidence_state": "DIRECT_COMPONENT_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_rent",
                "publisher": "City of Toronto / CMHC",
                "observation_period": "2026"
              },
              {
                "source_id": "toronto_statcan_rent_2026q2",
                "publisher": "Statistics Canada",
                "observation_period": "2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              },
              {
                "source_id": "toronto_statcan_shs_2023",
                "publisher": "Statistics Canada",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              },
              {
                "source_id": "toronto_statcan_retail_2026m07",
                "publisher": "Statistics Canada",
                "observation_period": "2026-05 to 2026-07"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              },
              {
                "source_id": "toronto_statcan_shs_summary_2023",
                "publisher": "Statistics Canada",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_transit",
                "publisher": "Toronto Transit Commission",
                "observation_period": "effective 2026-07/09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "toronto_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              },
              {
                "source_id": "toronto_statcan_shs_summary_2023",
                "publisher": "Statistics Canada",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 6,
        "broad_calibration_components": 0
      }
    },
    "Mexico City": {
      "country": "Mexico",
      "currency": "MXN",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 10500,
          "mode": 15000,
          "high": 20000,
          "source_refs": [
            "mexico_city_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 900.0,
          "mode": 1400,
          "high": 2200,
          "source_refs": [
            "mexico_city_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 3360,
          "mode": 4800,
          "high": 6500,
          "source_refs": [
            "mexico_city_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 1800,
          "mode": 2800,
          "high": 4200,
          "source_refs": [
            "mexico_city_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "transit": {
          "low": 350.0,
          "mode": 500.0,
          "high": 800.0,
          "source_refs": [
            "mexico_city_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 10,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 900.0,
          "mode": 1400,
          "high": 2200,
          "source_refs": [
            "mexico_city_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 9,
          "confidence": "Medium"
        }
      },
      "total": {
        "low": 22900,
        "model_mid": 26500,
        "high": 30200,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 24261.60930493193,
          "p50": 26510.73100104314,
          "p85": 28852.325924632325
        },
        "0.35": {
          "p15": 23568.374247602787,
          "p50": 26510.902966809837,
          "p85": 29584.231446500988
        },
        "0.70": {
          "p15": 22926.38436633152,
          "p50": 26459.46295736194,
          "p85": 30154.71894083525
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_rent",
                "publisher": "Inmuebles24",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_household",
                "publisher": "INEGI",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_household",
                "publisher": "INEGI",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_household",
                "publisher": "INEGI",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_transit",
                "publisher": "Metro CDMX",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "mexico_city_household",
                "publisher": "INEGI",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    },
    "Vancouver": {
      "country": "Canada",
      "currency": "CAD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1645.0,
          "mode": 2350.0,
          "high": 3055.0,
          "source_refs": [
            "vancouver_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 420.0,
          "source_refs": [
            "vancouver_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 360.0,
          "mode": 500.0,
          "high": 675.0,
          "source_refs": [
            "vancouver_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 168.0,
          "mode": 250.0,
          "high": 362.0,
          "source_refs": [
            "vancouver_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 111.0,
          "mode": 117.0,
          "high": 123.0,
          "source_refs": [
            "vancouver_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 117.0,
          "mode": 180.0,
          "high": 261.0,
          "source_refs": [
            "vancouver_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_median": 60000.0,
        "monthly_gross_median": 5000.0,
        "currency": "CAD",
        "basis": "Median wages, salaries and commissions excluding zeros, age 25–54, total gender, city geography, 2024; monthly gross equivalent.",
        "source_refs": [
          "vancouver_statcan_income_2024"
        ]
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3404.526861097265,
          "p50": 3734.478576387485,
          "p85": 4064.243653540387
        },
        "0.35": {
          "p15": 3335.408042836465,
          "p50": 3732.6918572027785,
          "p85": 4136.002714184287
        },
        "0.70": {
          "p15": 3273.1038374480754,
          "p50": 3731.5702037709434,
          "p85": 4199.056908621916
        }
      },
      "total": {
        "low": 3270,
        "model_mid": 3730,
        "high": 4200,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 27,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "vancouver_rent",
                "publisher": "Statistics Canada",
                "observation_period": "2025-Q4 / 2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "vancouver_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "vancouver_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "vancouver_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "vancouver_transit",
                "publisher": "TransLink",
                "observation_period": "effective 2026-07/09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "vancouver_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Montréal": {
      "country": "Canada",
      "currency": "CAD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1120.0,
          "mode": 1600.0,
          "high": 2080.0,
          "source_refs": [
            "montreal_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 182.0,
          "mode": 260.0,
          "high": 364.0,
          "source_refs": [
            "montreal_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 346.0,
          "mode": 480.0,
          "high": 648.0,
          "source_refs": [
            "montreal_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 147.0,
          "mode": 220.0,
          "high": 319.0,
          "source_refs": [
            "montreal_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 110.0,
          "mode": 110.0,
          "high": 110.0,
          "source_refs": [
            "montreal_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: montreal_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 110.0,
          "mode": 170.0,
          "high": 246.0,
          "source_refs": [
            "montreal_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_median": 59000.0,
        "monthly_gross_median": 4916.67,
        "currency": "CAD",
        "basis": "Median wages, salaries and commissions excluding zeros, age 25–54, total gender, city geography, 2024; monthly gross equivalent.",
        "source_refs": [
          "montreal_statcan_income_2024"
        ]
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2642.0508122278084,
          "p50": 2873.669856706811,
          "p85": 3104.9057765620846
        },
        "0.35": {
          "p15": 2578.680894761923,
          "p50": 2872.3965005047376,
          "p85": 3171.3276135856045
        },
        "0.70": {
          "p15": 2523.414398083331,
          "p50": 2870.8865783011383,
          "p85": 3227.6046595868365
        }
      },
      "total": {
        "low": 2520,
        "model_mid": 2870,
        "high": 3230,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 27,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "montreal_rent",
                "publisher": "Statistics Canada",
                "observation_period": "2025-Q4 / 2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "montreal_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "montreal_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "montreal_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "montreal_transit",
                "publisher": "Société de transport de Montréal",
                "observation_period": "effective 2026-07/09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "montreal_household",
                "publisher": "Statistics Canada",
                "observation_period": "2023; weights updated 2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Chicago": {
      "country": "United States",
      "currency": "USD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1225.0,
          "mode": 1750.0,
          "high": 2275.0,
          "source_refs": [
            "chicago_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 175.0,
          "mode": 250.0,
          "high": 350.0,
          "source_refs": [
            "chicago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 324.0,
          "mode": 450.0,
          "high": 608.0,
          "source_refs": [
            "chicago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 147.0,
          "mode": 220.0,
          "high": 319.0,
          "source_refs": [
            "chicago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 71.0,
          "mode": 75.0,
          "high": 79.0,
          "source_refs": [
            "chicago_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 110.0,
          "mode": 170.0,
          "high": 246.0,
          "source_refs": [
            "chicago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "SOURCE_BACKED",
        "annual_gross_mean": 73382.4,
        "monthly_gross_mean": 6115.2,
        "currency": "USD",
        "basis": "BLS OEWS all-occupations mean hourly wage, May 2025; annualized at 2,080 hours and divided by 12.",
        "source_refs": [
          "chicago_bls_oews_2025"
        ]
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2698.084201200197,
          "p50": 2947.7907253779904,
          "p85": 3197.0336041228497
        },
        "0.35": {
          "p15": 2637.209875481792,
          "p50": 2946.3901289680944,
          "p85": 3261.00435273949
        },
        "0.70": {
          "p15": 2582.760161926615,
          "p50": 2945.116804938333,
          "p85": 3315.994928489606
        }
      },
      "total": {
        "low": 2580,
        "model_mid": 2950,
        "high": 3320,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 22,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "chicago_rent",
                "publisher": "Apartment List",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "chicago_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "chicago_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "chicago_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "chicago_transit",
                "publisher": "Chicago Transit Authority",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "chicago_household",
                "publisher": "U.S. Bureau of Labor Statistics",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 3,
        "broad_calibration_components": 3
      }
    },
    "Berlin": {
      "country": "Germany",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 700.0,
          "mode": 1000.0,
          "high": 1300.0,
          "source_refs": [
            "berlin_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 420.0,
          "source_refs": [
            "berlin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 252.0,
          "mode": 350.0,
          "high": 473.0,
          "source_refs": [
            "berlin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 121.0,
          "mode": 180.0,
          "high": 261.0,
          "source_refs": [
            "berlin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 60.0,
          "mode": 63.0,
          "high": 66.0,
          "source_refs": [
            "berlin_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 98.0,
          "mode": 150.0,
          "high": 218.0,
          "source_refs": [
            "berlin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 1921.1499470376486,
          "p50": 2073.819467816599,
          "p85": 2226.735902338923
        },
        "0.35": {
          "p15": 1865.4670390495578,
          "p50": 2072.6139586692716,
          "p85": 2283.5076345820357
        },
        "0.70": {
          "p15": 1819.5814412996317,
          "p50": 2071.0133295539763,
          "p85": 2331.157362229165
        }
      },
      "total": {
        "low": 1820,
        "model_mid": 2070,
        "high": 2330,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "berlin_rent",
                "publisher": "State of Berlin",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "berlin_household",
                "publisher": "Destatis",
                "observation_period": "2023; table updated 2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "berlin_household",
                "publisher": "Destatis",
                "observation_period": "2023; table updated 2026"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "berlin_household",
                "publisher": "Destatis",
                "observation_period": "2023; table updated 2026"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "berlin_transit",
                "publisher": "BVG",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "berlin_household",
                "publisher": "Destatis",
                "observation_period": "2023; table updated 2026"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 3,
        "broad_calibration_components": 3
      }
    },
    "Madrid": {
      "country": "Spain",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 700.0,
          "mode": 1000.0,
          "high": 1300.0,
          "source_refs": [
            "madrid_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 154.0,
          "mode": 220.0,
          "high": 308.0,
          "source_refs": [
            "madrid_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 230.0,
          "mode": 320.0,
          "high": 432.0,
          "source_refs": [
            "madrid_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 121.0,
          "mode": 180.0,
          "high": 261.0,
          "source_refs": [
            "madrid_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 31.0,
          "mode": 33.0,
          "high": 35.0,
          "source_refs": [
            "madrid_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 91.0,
          "mode": 140.0,
          "high": 203.0,
          "source_refs": [
            "madrid_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 1770.7257960397576,
          "p50": 1919.4745857872745,
          "p85": 2068.016320583559
        },
        "0.35": {
          "p15": 1721.7087156040493,
          "p50": 1918.3349896172722,
          "p85": 2118.5339056491757
        },
        "0.70": {
          "p15": 1680.8242546449862,
          "p50": 1917.1164686893753,
          "p85": 2161.017289088758
        }
      },
      "total": {
        "low": 1680,
        "model_mid": 1920,
        "high": 2160,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "madrid_rent",
                "publisher": "idealista",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "madrid_household",
                "publisher": "INE Spain",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "madrid_household",
                "publisher": "INE Spain",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "madrid_household",
                "publisher": "INE Spain",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "madrid_transit",
                "publisher": "Consorcio Regional de Transportes de Madrid",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "madrid_household",
                "publisher": "INE Spain",
                "observation_period": "2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Rome": {
      "country": "Italy",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 630.0,
          "mode": 900.0,
          "high": 1170.0,
          "source_refs": [
            "rome_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 154.0,
          "mode": 220.0,
          "high": 308.0,
          "source_refs": [
            "rome_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 238.0,
          "mode": 330.0,
          "high": 446.0,
          "source_refs": [
            "rome_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 121.0,
          "mode": 180.0,
          "high": 261.0,
          "source_refs": [
            "rome_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 33.0,
          "mode": 35.0,
          "high": 37.0,
          "source_refs": [
            "rome_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 91.0,
          "mode": 140.0,
          "high": 203.0,
          "source_refs": [
            "rome_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 1695.3471089091092,
          "p50": 1832.091926076478,
          "p85": 1969.1729697003793
        },
        "0.35": {
          "p15": 1645.7573491908418,
          "p50": 1830.9706331520417,
          "p85": 2019.7539311667124
        },
        "0.70": {
          "p15": 1605.088015051208,
          "p50": 1829.7242909637184,
          "p85": 2061.8724092007988
        }
      },
      "total": {
        "low": 1610,
        "model_mid": 1830,
        "high": 2060,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "rome_rent",
                "publisher": "Immobiliare.it",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "rome_household",
                "publisher": "Istat",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "rome_household",
                "publisher": "Istat",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "rome_household",
                "publisher": "Istat",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "rome_transit",
                "publisher": "ATAC Roma",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "rome_household",
                "publisher": "Istat",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Amsterdam": {
      "country": "Netherlands",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1015.0,
          "mode": 1450.0,
          "high": 1885.0,
          "source_refs": [
            "amsterdam_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 420.0,
          "source_refs": [
            "amsterdam_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 252.0,
          "mode": 350.0,
          "high": 473.0,
          "source_refs": [
            "amsterdam_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 134.0,
          "mode": 200.0,
          "high": 290.0,
          "source_refs": [
            "amsterdam_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 123.0,
          "mode": 129.0,
          "high": 135.0,
          "source_refs": [
            "amsterdam_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 98.0,
          "mode": 150.0,
          "high": 218.0,
          "source_refs": [
            "amsterdam_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2401.5377210398774,
          "p50": 2610.5234453333683,
          "p85": 2819.2989994993477
        },
        "0.35": {
          "p15": 2343.9118320250095,
          "p50": 2609.2686365712407,
          "p85": 2878.5894052455424
        },
        "0.70": {
          "p15": 2294.4381391753127,
          "p50": 2607.695399153413,
          "p85": 2929.682016765938
        }
      },
      "total": {
        "low": 2290,
        "model_mid": 2610,
        "high": 2930,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 4,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "amsterdam_rent",
                "publisher": "Pararius",
                "observation_period": "2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "amsterdam_household",
                "publisher": "Statistics Netherlands (CBS)",
                "observation_period": "2024 / current trend checks"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "amsterdam_household",
                "publisher": "Statistics Netherlands (CBS)",
                "observation_period": "2024 / current trend checks"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "amsterdam_household",
                "publisher": "Statistics Netherlands (CBS)",
                "observation_period": "2024 / current trend checks"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "amsterdam_transit",
                "publisher": "GVB",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "amsterdam_household",
                "publisher": "Statistics Netherlands (CBS)",
                "observation_period": "2024 / current trend checks"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 2,
        "direct_component_components": 2,
        "broad_calibration_components": 0
      }
    },
    "Lisbon": {
      "country": "Portugal",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 735.0,
          "mode": 1050.0,
          "high": 1365.0,
          "source_refs": [
            "lisbon_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 140.0,
          "mode": 200.0,
          "high": 280.0,
          "source_refs": [
            "lisbon_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 202.0,
          "mode": 280.0,
          "high": 378.0,
          "source_refs": [
            "lisbon_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 107.0,
          "mode": 160.0,
          "high": 232.0,
          "source_refs": [
            "lisbon_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 38.0,
          "mode": 40.0,
          "high": 42.0,
          "source_refs": [
            "lisbon_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 78.0,
          "mode": 120.0,
          "high": 174.0,
          "source_refs": [
            "lisbon_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 1721.4172854883502,
          "p50": 1873.5007855340145,
          "p85": 2025.4452682906044
        },
        "0.35": {
          "p15": 1678.1281722697915,
          "p50": 1872.5598250117446,
          "p85": 2070.08606053648
        },
        "0.70": {
          "p15": 1641.119059845836,
          "p50": 1871.5580208372926,
          "p85": 2108.3291399655714
        }
      },
      "total": {
        "low": 1640,
        "model_mid": 1870,
        "high": 2110,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "lisbon_rent",
                "publisher": "idealista Portugal",
                "observation_period": "2026-08"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lisbon_household",
                "publisher": "Statistics Portugal (INE)",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lisbon_household",
                "publisher": "Statistics Portugal (INE)",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lisbon_household",
                "publisher": "Statistics Portugal (INE)",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "lisbon_transit",
                "publisher": "Navegante",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lisbon_household",
                "publisher": "Statistics Portugal (INE)",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Dublin": {
      "country": "Ireland",
      "currency": "EUR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1470.0,
          "mode": 2100.0,
          "high": 2730.0,
          "source_refs": [
            "dublin_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 175.0,
          "mode": 250.0,
          "high": 350.0,
          "source_refs": [
            "dublin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 252.0,
          "mode": 350.0,
          "high": 473.0,
          "source_refs": [
            "dublin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 147.0,
          "mode": 220.0,
          "high": 319.0,
          "source_refs": [
            "dublin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 99.0,
          "mode": 104.0,
          "high": 109.0,
          "source_refs": [
            "dublin_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 98.0,
          "mode": 150.0,
          "high": 218.0,
          "source_refs": [
            "dublin_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2911.9099392162466,
          "p50": 3204.5240846429447,
          "p85": 3497.268461324685
        },
        "0.35": {
          "p15": 2856.614210215011,
          "p50": 3203.202302881222,
          "p85": 3554.2025616324113
        },
        "0.70": {
          "p15": 2806.6455874697967,
          "p50": 3202.167054438727,
          "p85": 3604.892804738468
        }
      },
      "total": {
        "low": 2810,
        "model_mid": 3200,
        "high": 3600,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dublin_rent",
                "publisher": "Daft.ie / market reporting",
                "observation_period": "2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dublin_household",
                "publisher": "Central Statistics Office Ireland",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dublin_household",
                "publisher": "Central Statistics Office Ireland",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dublin_household",
                "publisher": "Central Statistics Office Ireland",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "dublin_transit",
                "publisher": "Transport for Ireland",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "dublin_household",
                "publisher": "Central Statistics Office Ireland",
                "observation_period": "2022-23"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 4,
        "broad_calibration_components": 2
      }
    },
    "Zurich": {
      "country": "Switzerland",
      "currency": "CHF",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1120.0,
          "mode": 1600.0,
          "high": 2080.0,
          "source_refs": [
            "zurich_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 420.0,
          "source_refs": [
            "zurich_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 360.0,
          "mode": 500.0,
          "high": 675.0,
          "source_refs": [
            "zurich_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: zurich_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 201.0,
          "mode": 300.0,
          "high": 435.0,
          "source_refs": [
            "zurich_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: zurich_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 84.0,
          "mode": 88.0,
          "high": 92.0,
          "source_refs": [
            "zurich_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: zurich_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 130.0,
          "mode": 200.0,
          "high": 290.0,
          "source_refs": [
            "zurich_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: zurich_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2792.1708909657978,
          "p50": 3027.945835441882,
          "p85": 3263.708399879604
        },
        "0.35": {
          "p15": 2717.9983417134836,
          "p50": 3026.245240869737,
          "p85": 3339.9312436798136
        },
        "0.70": {
          "p15": 2655.5672565213226,
          "p50": 3024.5659256105655,
          "p85": 3404.95897333115
        }
      },
      "total": {
        "low": 2660,
        "model_mid": 3030,
        "high": 3400,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 4,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "zurich_rent",
                "publisher": "City of Zurich Statistics",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "zurich_household",
                "publisher": "Swiss Federal Statistical Office",
                "observation_period": "latest available"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "zurich_household",
                "publisher": "Swiss Federal Statistical Office",
                "observation_period": "latest available"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "zurich_household",
                "publisher": "Swiss Federal Statistical Office",
                "observation_period": "latest available"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "zurich_transit",
                "publisher": "Zürcher Verkehrsverbund (ZVV)",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "zurich_household",
                "publisher": "Swiss Federal Statistical Office",
                "observation_period": "latest available"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 2,
        "direct_component_components": 2,
        "broad_calibration_components": 0
      }
    },
    "Melbourne": {
      "country": "Australia",
      "currency": "AUD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1470.0,
          "mode": 2100.0,
          "high": 2730.0,
          "source_refs": [
            "melbourne_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: melbourne_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 210.0,
          "mode": 300.0,
          "high": 420.0,
          "source_refs": [
            "melbourne_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: melbourne_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 360.0,
          "mode": 500.0,
          "high": 675.0,
          "source_refs": [
            "melbourne_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: melbourne_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 168.0,
          "mode": 250.0,
          "high": 362.0,
          "source_refs": [
            "melbourne_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for four casual sit-down plus four low-cost café/fast-casual meals per month. Source refs: melbourne_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 176.0,
          "mode": 185.0,
          "high": 194.0,
          "source_refs": [
            "melbourne_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for adult monthly pass/fare cap where meaningful, otherwise normalized 44-trip usage. Source refs: melbourne_transit. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 117.0,
          "mode": 180.0,
          "high": 261.0,
          "source_refs": [
            "melbourne_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for small recurring household and personal essentials allowance. Source refs: melbourne_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3254.9886084104214,
          "p50": 3552.336079589939,
          "p85": 3849.8766173746008
        },
        "0.35": {
          "p15": 3185.2834754679106,
          "p50": 3550.662800012898,
          "p85": 3922.3388905943475
        },
        "0.70": {
          "p15": 3123.204767260948,
          "p50": 3549.362591736124,
          "p85": 3985.462670321874
        }
      },
      "total": {
        "low": 3120,
        "model_mid": 3550,
        "high": 3990,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 5,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "melbourne_rent",
                "publisher": "Domain",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "melbourne_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "melbourne_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "melbourne_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "melbourne_transit",
                "publisher": "Public Transport Victoria",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "melbourne_household",
                "publisher": "Australian Bureau of Statistics",
                "observation_period": "2026-07"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 1,
        "direct_component_components": 1,
        "broad_calibration_components": 0
      }
    },
    "Bangkok": {
      "country": "Thailand",
      "currency": "THB",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 9800.0,
          "mode": 14000.0,
          "high": 18200.0,
          "source_refs": [
            "bangkok_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for long-term one-bedroom, roughly 35–55 m² or local equivalent, non-prime but transit-connected. Source refs: bangkok_rent. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 2100.0,
          "mode": 3000.0,
          "high": 4200.0,
          "source_refs": [
            "bangkok_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for baseline dwelling utilities plus normal broadband and a mid-tier mobile plan. Source refs: bangkok_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 6480.0,
          "mode": 9000.0,
          "high": 12150.0,
          "source_refs": [
            "bangkok_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "Normalized CLC planning anchor for moderate one-adult grocery basket cross-checked against household expenditure evidence. Source refs: bangkok_household. Mode is a research-normalized anchor; low/high encode source-definition and market uncertainty rather than copying a competitor total.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 2680.0,
          "mode": 4000.0,
          "high": 5800.0,
          "source_refs": [
            "bangkok_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 1805.0,
          "mode": 1900.0,
          "high": 1995.0,
          "source_refs": [
            "bangkok_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 1625.0,
          "mode": 2500.0,
          "high": 3625.0,
          "source_refs": [
            "bangkok_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 32578.176882121636,
          "p50": 34942.877785660996,
          "p85": 37330.83363806743
        },
        "0.35": {
          "p15": 31562.237714455878,
          "p50": 34919.63421267633,
          "p85": 38355.53973842169
        },
        "0.70": {
          "p15": 30777.055916855963,
          "p50": 34898.50173938779,
          "p85": 39186.69149626723
        }
      },
      "total": {
        "low": 30780,
        "model_mid": 34920,
        "high": 39190,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bangkok_rent",
                "publisher": "CBRE",
                "observation_period": "2026-Q1"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bangkok_household",
                "publisher": "National Statistical Office Thailand",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bangkok_household",
                "publisher": "National Statistical Office Thailand",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bangkok_household",
                "publisher": "National Statistical Office Thailand",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "bangkok_transit",
                "publisher": "Bangkok Expressway and Metro",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bangkok_household",
                "publisher": "National Statistical Office Thailand",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 1,
        "broad_calibration_components": 4
      }
    },
    "Kuala Lumpur": {
      "country": "Malaysia",
      "currency": "MYR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 1260.0,
          "mode": 1800.0,
          "high": 2340.0,
          "source_refs": [
            "kuala_lumpur_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 280.0,
          "mode": 400.0,
          "high": 560.0,
          "source_refs": [
            "kuala_lumpur_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 648.0,
          "mode": 900.0,
          "high": 1215.0,
          "source_refs": [
            "kuala_lumpur_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 469.0,
          "mode": 700.0,
          "high": 1015.0,
          "source_refs": [
            "kuala_lumpur_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 48.0,
          "mode": 50.0,
          "high": 52.0,
          "source_refs": [
            "kuala_lumpur_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 228.0,
          "mode": 350.0,
          "high": 508.0,
          "source_refs": [
            "kuala_lumpur_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3972.6630528435885,
          "p50": 4272.7910407446,
          "p85": 4575.839789911145
        },
        "0.35": {
          "p15": 3841.0909298898214,
          "p50": 4270.117259513248,
          "p85": 4708.78446583029
        },
        "0.70": {
          "p15": 3739.1352665580152,
          "p50": 4266.87633707468,
          "p85": 4817.743553587183
        }
      },
      "total": {
        "low": 3740,
        "model_mid": 4270,
        "high": 4820,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "kuala_lumpur_rent",
                "publisher": "PropertyGuru Malaysia",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "kuala_lumpur_household",
                "publisher": "Department of Statistics Malaysia",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "kuala_lumpur_household",
                "publisher": "Department of Statistics Malaysia",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "kuala_lumpur_household",
                "publisher": "Department of Statistics Malaysia",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "kuala_lumpur_transit",
                "publisher": "MyRapid",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "kuala_lumpur_household",
                "publisher": "Department of Statistics Malaysia",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 4,
        "broad_calibration_components": 2
      }
    },
    "Taipei": {
      "country": "Taiwan",
      "currency": "TWD",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 15400.0,
          "mode": 22000.0,
          "high": 28600.0,
          "source_refs": [
            "taipei_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 1750.0,
          "mode": 2500.0,
          "high": 3500.0,
          "source_refs": [
            "taipei_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 6480.0,
          "mode": 9000.0,
          "high": 12150.0,
          "source_refs": [
            "taipei_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 3015.0,
          "mode": 4500.0,
          "high": 6525.0,
          "source_refs": [
            "taipei_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 1140.0,
          "mode": 1200.0,
          "high": 1260.0,
          "source_refs": [
            "taipei_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 1625.0,
          "mode": 2500.0,
          "high": 3625.0,
          "source_refs": [
            "taipei_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 38953.419145448264,
          "p50": 42246.72980493515,
          "p85": 45548.71365482938
        },
        "0.35": {
          "p15": 37935.76756203573,
          "p50": 42222.219643463744,
          "p85": 46607.130346129205
        },
        "0.70": {
          "p15": 37063.21960425107,
          "p50": 42206.808919689385,
          "p85": 47501.78545228325
        }
      },
      "total": {
        "low": 37060,
        "model_mid": 42220,
        "high": 47500,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 4,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "taipei_rent",
                "publisher": "591 Housing",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "taipei_household",
                "publisher": "Taipei City Government Open Data",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "taipei_household",
                "publisher": "Taipei City Government Open Data",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "taipei_household",
                "publisher": "Taipei City Government Open Data",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "taipei_transit",
                "publisher": "Taipei Rapid Transit Corporation",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "taipei_household",
                "publisher": "Taipei City Government Open Data",
                "observation_period": "2024"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 2,
        "direct_component_components": 2,
        "broad_calibration_components": 0
      }
    },
    "Manila": {
      "country": "Philippines",
      "currency": "PHP",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The 2025 FIES is current and official, but its NCR/HUC figures describe families rather than the published solo-renter persona; one-bedroom rent evidence is still listing-based and dispersed.",
      "components": {
        "rent": {
          "low": 10800.0,
          "mode": 18000.0,
          "high": 26100.0,
          "source_refs": [
            "manila_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 2400.0,
          "mode": 4000.0,
          "high": 6200.0,
          "source_refs": [
            "manila_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 6000.0,
          "mode": 10000.0,
          "high": 15000.0,
          "source_refs": [
            "manila_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 3350.0,
          "mode": 5000.0,
          "high": 7250.0,
          "source_refs": [
            "manila_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 750.0,
          "mode": 1000.0,
          "high": 1300.0,
          "source_refs": [
            "manila_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 1950.0,
          "mode": 3000.0,
          "high": 4350.0,
          "source_refs": [
            "manila_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 38083.220780722506,
          "p50": 42105.61138229405,
          "p85": 46228.69219887671
        },
        "0.35": {
          "p15": 36545.997336266315,
          "p50": 42068.12968528048,
          "p85": 47804.59780791421
        },
        "0.70": {
          "p15": 35322.648882429516,
          "p50": 42022.81848304717,
          "p85": 49096.83662509684
        }
      },
      "total": {
        "low": 35320,
        "model_mid": 42070,
        "high": 49100,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 2,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "manila_rent",
                "publisher": "Lamudi Philippines",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "manila_household",
                "publisher": "Philippine Statistics Authority",
                "observation_period": "2025 preliminary (released 2026-08-26)"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "manila_household",
                "publisher": "Philippine Statistics Authority",
                "observation_period": "2025 preliminary (released 2026-08-26)"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "manila_household",
                "publisher": "Philippine Statistics Authority",
                "observation_period": "2025 preliminary (released 2026-08-26)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "manila_transit",
                "publisher": "Light Rail Transit Authority",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "manila_household",
                "publisher": "Philippine Statistics Authority",
                "observation_period": "2025 preliminary (released 2026-08-26)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 4,
        "direct_component_components": 2,
        "broad_calibration_components": 2
      }
    },
    "Ho Chi Minh City": {
      "country": "Vietnam",
      "currency": "VND",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The 2024 VHLSS is current, but NSO states expenditure is representative only nationally, urban/rural and across six regions—not at HCMC city level; rent and transit evidence also remain thinner than the production standard.",
      "components": {
        "rent": {
          "low": 5400000.0,
          "mode": 9000000.0,
          "high": 13050000.0,
          "source_refs": [
            "hcmc_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 1080000.0,
          "mode": 1800000.0,
          "high": 2790000.0,
          "source_refs": [
            "hcmc_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 2400000.0,
          "mode": 4000000.0,
          "high": 6000000.0,
          "source_refs": [
            "hcmc_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 1675000.0,
          "mode": 2500000.0,
          "high": 3625000.0,
          "source_refs": [
            "hcmc_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 225000.0,
          "mode": 300000.0,
          "high": 390000.0,
          "source_refs": [
            "hcmc_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 975000.0,
          "mode": 1500000.0,
          "high": 2175000.0,
          "source_refs": [
            "hcmc_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 17681983.81884705,
          "p50": 19604498.94821057,
          "p85": 21585847.052489463
        },
        "0.35": {
          "p15": 16997576.929422166,
          "p50": 19585888.828354005,
          "p85": 22289336.404885042
        },
        "0.70": {
          "p15": 16438390.08243973,
          "p50": 19566881.479940467,
          "p85": 22871571.269281857
        }
      },
      "total": {
        "low": 16438000,
        "model_mid": 19586000,
        "high": 22872000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hcmc_rent",
                "publisher": "Batdongsan.com.vn",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hcmc_household",
                "publisher": "National Statistics Office Vietnam",
                "observation_period": "2024 (published 2026-03-31)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hcmc_household",
                "publisher": "National Statistics Office Vietnam",
                "observation_period": "2024 (published 2026-03-31)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hcmc_household",
                "publisher": "National Statistics Office Vietnam",
                "observation_period": "2024 (published 2026-03-31)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "hcmc_transit",
                "publisher": "Ho Chi Minh City Metro information",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "hcmc_household",
                "publisher": "National Statistics Office Vietnam",
                "observation_period": "2024 (published 2026-03-31)"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 1,
        "broad_calibration_components": 4
      }
    },
    "Bengaluru": {
      "country": "India",
      "currency": "INR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 12600.0,
          "mode": 18000.0,
          "high": 23400.0,
          "source_refs": [
            "bengaluru_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 2100.0,
          "mode": 3000.0,
          "high": 4200.0,
          "source_refs": [
            "bengaluru_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 5040.0,
          "mode": 7000.0,
          "high": 9450.0,
          "source_refs": [
            "bengaluru_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 2345.0,
          "mode": 3500.0,
          "high": 5075.0,
          "source_refs": [
            "bengaluru_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 2090.0,
          "mode": 2200.0,
          "high": 2310.0,
          "source_refs": [
            "bengaluru_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 1430.0,
          "mode": 2200.0,
          "high": 3190.0,
          "source_refs": [
            "bengaluru_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 33674.2397548841,
          "p50": 36368.929997617364,
          "p85": 39069.37074992871
        },
        "0.35": {
          "p15": 32783.77213072231,
          "p50": 36349.584941721434,
          "p85": 39989.846773892496
        },
        "0.70": {
          "p15": 32034.992927599953,
          "p50": 36330.08227168974,
          "p85": 40759.64255463287
        }
      },
      "total": {
        "low": 32030,
        "model_mid": 36350,
        "high": 40760,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "bengaluru_rent",
                "publisher": "Magicbricks",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bengaluru_household",
                "publisher": "Government of India / MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bengaluru_household",
                "publisher": "Government of India / MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bengaluru_household",
                "publisher": "Government of India / MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bengaluru_transit",
                "publisher": "Bangalore Metro Rail Corporation",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bengaluru_household",
                "publisher": "Government of India / MoSPI",
                "observation_period": "2023-24"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 1,
        "broad_calibration_components": 4
      }
    },
    "Riyadh": {
      "country": "Saudi Arabia",
      "currency": "SAR",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "Official consumption evidence is national rather than Riyadh-specific and current apartment rent evidence is listing-based, so the city is published with wider uncertainty.",
      "components": {
        "rent": {
          "low": 1800.0,
          "mode": 3000.0,
          "high": 4350.0,
          "source_refs": [
            "riyadh_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 330.0,
          "mode": 550.0,
          "high": 852.0,
          "source_refs": [
            "riyadh_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 600.0,
          "mode": 1000.0,
          "high": 1500.0,
          "source_refs": [
            "riyadh_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 402.0,
          "mode": 600.0,
          "high": 870.0,
          "source_refs": [
            "riyadh_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 105.0,
          "mode": 140.0,
          "high": 182.0,
          "source_refs": [
            "riyadh_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 260.0,
          "mode": 400.0,
          "high": 580.0,
          "source_refs": [
            "riyadh_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 5221.099548376426,
          "p50": 5832.182194090181,
          "p85": 6463.806685185261
        },
        "0.35": {
          "p15": 5040.18850169525,
          "p50": 5828.072764176286,
          "p85": 6652.232160318203
        },
        "0.70": {
          "p15": 4884.511862688331,
          "p50": 5822.376560333098,
          "p85": 6812.610051027016
        }
      },
      "total": {
        "low": 4880,
        "model_mid": 5830,
        "high": 6810,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "riyadh_rent",
                "publisher": "Bayut Saudi Arabia",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "riyadh_household",
                "publisher": "General Authority for Statistics Saudi Arabia",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "riyadh_household",
                "publisher": "General Authority for Statistics Saudi Arabia",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "riyadh_household",
                "publisher": "General Authority for Statistics Saudi Arabia",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "riyadh_transit",
                "publisher": "Royal Commission for Riyadh City",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "riyadh_household",
                "publisher": "General Authority for Statistics Saudi Arabia",
                "observation_period": "2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 1,
        "broad_calibration_components": 4
      }
    },
    "Doha": {
      "country": "Qatar",
      "currency": "QAR",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The latest published household-expenditure values located are still from 2017/18. A 2023–24 survey was fielded, but this audit did not locate published replacement results; current rent, transit and 2026 CPI context reduce but do not remove that limitation.",
      "components": {
        "rent": {
          "low": 2700.0,
          "mode": 4500.0,
          "high": 6525.0,
          "source_refs": [
            "doha_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 300.0,
          "mode": 500.0,
          "high": 775.0,
          "source_refs": [
            "doha_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 600.0,
          "mode": 1000.0,
          "high": 1500.0,
          "source_refs": [
            "doha_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 436.0,
          "mode": 650.0,
          "high": 942.0,
          "source_refs": [
            "doha_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 90.0,
          "mode": 120.0,
          "high": 156.0,
          "source_refs": [
            "doha_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 260.0,
          "mode": 400.0,
          "high": 580.0,
          "source_refs": [
            "doha_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 6454.830409460137,
          "p50": 7330.28215966025,
          "p85": 8242.692311687702
        },
        "0.35": {
          "p15": 6276.888298541722,
          "p50": 7326.515889916058,
          "p85": 8429.646220234434
        },
        "0.70": {
          "p15": 6116.709940567818,
          "p50": 7321.973328852944,
          "p85": 8592.804023562836
        }
      },
      "total": {
        "low": 6120,
        "model_mid": 7330,
        "high": 8590,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "supplemental_source_refs": [
        "doha_hies_2023_24_status",
        "doha_cpi_2026"
      ],
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "doha_rent",
                "publisher": "ValuStrat",
                "observation_period": "2026-Q2"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "doha_household",
                "publisher": "Planning and Statistics Authority Qatar",
                "observation_period": "2018"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "doha_household",
                "publisher": "Planning and Statistics Authority Qatar",
                "observation_period": "2018"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "doha_household",
                "publisher": "Planning and Statistics Authority Qatar",
                "observation_period": "2018"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "doha_transit",
                "publisher": "Qatar Rail",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "doha_household",
                "publisher": "Planning and Statistics Authority Qatar",
                "observation_period": "2018"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Buenos Aires": {
      "country": "Argentina",
      "currency": "ARS",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The latest official household-budget benchmark located remains ENGHo 2017–18, which predates the recent inflation regime. Current rent, transit and 2026 CPI context help with price-level checks, but non-housing composition remains weak.",
      "components": {
        "rent": {
          "low": 450000.0,
          "mode": 750000.0,
          "high": 1087500.0,
          "source_refs": [
            "buenos_aires_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 54000.0,
          "mode": 90000.0,
          "high": 139500.0,
          "source_refs": [
            "buenos_aires_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 180000.0,
          "mode": 300000.0,
          "high": 450000.0,
          "source_refs": [
            "buenos_aires_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 120600.0,
          "mode": 180000.0,
          "high": 261000.0,
          "source_refs": [
            "buenos_aires_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 45000.0,
          "mode": 60000.0,
          "high": 78000.0,
          "source_refs": [
            "buenos_aires_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 78000.0,
          "mode": 120000.0,
          "high": 174000.0,
          "source_refs": [
            "buenos_aires_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 1381498.0481097084,
          "p50": 1537217.0869982427,
          "p85": 1697693.2481770993
        },
        "0.35": {
          "p15": 1332262.6681121183,
          "p50": 1535892.7504702606,
          "p85": 1748881.1227558588
        },
        "0.70": {
          "p15": 1290333.6301770876,
          "p50": 1534700.3640015817,
          "p85": 1792074.0983521324
        }
      },
      "total": {
        "low": 1290000,
        "model_mid": 1536000,
        "high": 1792000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "supplemental_source_refs": [
        "buenos_aires_cpi_2026"
      ],
      "core_evidence": {
        "source_linked_model_components": 5,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "buenos_aires_rent",
                "publisher": "Unitrank",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "buenos_aires_household",
                "publisher": "INDEC Argentina",
                "observation_period": "2017-18"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "buenos_aires_household",
                "publisher": "INDEC Argentina",
                "observation_period": "2017-18"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "buenos_aires_household",
                "publisher": "INDEC Argentina",
                "observation_period": "2017-18"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "buenos_aires_transit",
                "publisher": "Buenos Aires City Government",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "buenos_aires_household",
                "publisher": "INDEC Argentina",
                "observation_period": "2017-18"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 1,
        "direct_component_components": 1,
        "broad_calibration_components": 0
      }
    },
    "Santiago": {
      "country": "Chile",
      "currency": "CLP",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 280000.0,
          "mode": 400000.0,
          "high": 520000.0,
          "source_refs": [
            "santiago_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 70000.0,
          "mode": 100000.0,
          "high": 140000.0,
          "source_refs": [
            "santiago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 158400.0,
          "mode": 220000.0,
          "high": 297000.0,
          "source_refs": [
            "santiago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 80400.0,
          "mode": 120000.0,
          "high": 174000.0,
          "source_refs": [
            "santiago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 34200.0,
          "mode": 36000.0,
          "high": 37800.0,
          "source_refs": [
            "santiago_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 52000.0,
          "mode": 80000.0,
          "high": 116000.0,
          "source_refs": [
            "santiago_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 905329.180528614,
          "p50": 971685.8264501346,
          "p85": 1038549.8176665017
        },
        "0.35": {
          "p15": 876126.1938724928,
          "p50": 971043.2696853136,
          "p85": 1067931.8808792077
        },
        "0.70": {
          "p15": 853479.7460896482,
          "p50": 970331.7683119453,
          "p85": 1092005.9964840584
        }
      },
      "total": {
        "low": 853500,
        "model_mid": 971000,
        "high": 1092000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 1,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "santiago_rent",
                "publisher": "Portal Inmobiliario",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "santiago_household",
                "publisher": "INE Chile",
                "observation_period": "2021-22 / published 2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "santiago_household",
                "publisher": "INE Chile",
                "observation_period": "2021-22 / published 2023"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "santiago_household",
                "publisher": "INE Chile",
                "observation_period": "2021-22 / published 2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "santiago_transit",
                "publisher": "Red Movilidad",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "santiago_household",
                "publisher": "INE Chile",
                "observation_period": "2021-22 / published 2023"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 5,
        "direct_component_components": 2,
        "broad_calibration_components": 3
      }
    },
    "Bogotá": {
      "country": "Colombia",
      "currency": "COP",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The city-representative ENPH household-budget benchmark is still 2016–17. Current rent, transit and 2026 CPI context are useful, but the non-housing composition remains too old for more than a wide planning range.",
      "components": {
        "rent": {
          "low": 900000.0,
          "mode": 1500000.0,
          "high": 2175000.0,
          "source_refs": [
            "bogota_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 180000.0,
          "mode": 300000.0,
          "high": 465000.0,
          "source_refs": [
            "bogota_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 420000.0,
          "mode": 700000.0,
          "high": 1050000.0,
          "source_refs": [
            "bogota_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 234500.0,
          "mode": 350000.0,
          "high": 507500.0,
          "source_refs": [
            "bogota_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 117000.0,
          "mode": 156000.0,
          "high": 202800.0,
          "source_refs": [
            "bogota_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 162500.0,
          "mode": 250000.0,
          "high": 362500.0,
          "source_refs": [
            "bogota_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 3018792.0867968723,
          "p50": 3340448.7711721696,
          "p85": 3671637.496234669
        },
        "0.35": {
          "p15": 2901224.245107731,
          "p50": 3337450.389681182,
          "p85": 3791648.6761558233
        },
        "0.70": {
          "p15": 2806053.5806926046,
          "p50": 3334299.040439916,
          "p85": 3891257.8028390836
        }
      },
      "total": {
        "low": 2806000,
        "model_mid": 3337000,
        "high": 3891000,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "supplemental_source_refs": [
        "bogota_cpi_2026"
      ],
      "core_evidence": {
        "source_linked_model_components": 5,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bogota_rent",
                "publisher": "Inmobirexos",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bogota_household",
                "publisher": "DANE Colombia",
                "observation_period": "2016-17"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bogota_household",
                "publisher": "DANE Colombia",
                "observation_period": "2016-17"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bogota_household",
                "publisher": "DANE Colombia",
                "observation_period": "2016-17"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "bogota_transit",
                "publisher": "TransMilenio",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "bogota_household",
                "publisher": "DANE Colombia",
                "observation_period": "2016-17"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 1,
        "direct_component_components": 1,
        "broad_calibration_components": 0
      }
    },
    "Lima": {
      "country": "Peru",
      "currency": "PEN",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "A current persona-matched Lima household-expenditure extraction is not yet linked; rent and transport are usable but the non-housing basket remains provisional.",
      "components": {
        "rent": {
          "low": 900.0,
          "mode": 1500.0,
          "high": 2175.0,
          "source_refs": [
            "lima_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 150.0,
          "mode": 250.0,
          "high": 388.0,
          "source_refs": [
            "lima_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 390.0,
          "mode": 650.0,
          "high": 975.0,
          "source_refs": [
            "lima_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 234.0,
          "mode": 350.0,
          "high": 508.0,
          "source_refs": [
            "lima_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 90.0,
          "mode": 120.0,
          "high": 156.0,
          "source_refs": [
            "lima_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 130.0,
          "mode": 200.0,
          "high": 290.0,
          "source_refs": [
            "lima_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 2832.5418550149507,
          "p50": 3148.218990680337,
          "p85": 3473.4003465223796
        },
        "0.35": {
          "p15": 2728.0287115010087,
          "p50": 3145.231009212518,
          "p85": 3580.830010020237
        },
        "0.70": {
          "p15": 2641.139088023062,
          "p50": 3142.95403589379,
          "p85": 3671.4249995357927
        }
      },
      "total": {
        "low": 2640,
        "model_mid": 3150,
        "high": 3670,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 5,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "lima_rent",
                "publisher": "Urbania",
                "observation_period": "2025-26"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lima_household",
                "publisher": "INEI Peru",
                "observation_period": "2025 / 2026 field cycle"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lima_household",
                "publisher": "INEI Peru",
                "observation_period": "2025 / 2026 field cycle"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lima_household",
                "publisher": "INEI Peru",
                "observation_period": "2025 / 2026 field cycle"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lima_transit",
                "publisher": "Autoridad de Transporte Urbano para Lima y Callao",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "lima_household",
                "publisher": "INEI Peru",
                "observation_period": "2025 / 2026 field cycle"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 1,
        "direct_component_components": 1,
        "broad_calibration_components": 0
      }
    },
    "Cape Town": {
      "country": "South Africa",
      "currency": "ZAR",
      "publication_state": "PUBLISHABLE_MODEL_ESTIMATE",
      "confidence": "Medium",
      "provisional_reason": "",
      "components": {
        "rent": {
          "low": 8750.0,
          "mode": 12500.0,
          "high": 16250.0,
          "source_refs": [
            "cape_town_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "utilities_connectivity": {
          "low": 1750.0,
          "mode": 2500.0,
          "high": 3500.0,
          "source_refs": [
            "cape_town_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "groceries": {
          "low": 3240.0,
          "mode": 4500.0,
          "high": 6075.0,
          "source_refs": [
            "cape_town_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "eating_out": {
          "low": 1675.0,
          "mode": 2500.0,
          "high": 3625.0,
          "source_refs": [
            "cape_town_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        },
        "transit": {
          "low": 1425.0,
          "mode": 1500.0,
          "high": 1575.0,
          "source_refs": [
            "cape_town_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 9,
          "confidence": "Medium"
        },
        "household_personal": {
          "low": 975.0,
          "mode": 1500.0,
          "high": 2175.0,
          "source_refs": [
            "cape_town_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 8,
          "confidence": "Medium"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 23464.624483695756,
          "p50": 25333.870566593916,
          "p85": 27207.45612213001
        },
        "0.35": {
          "p15": 22833.52122148675,
          "p50": 25318.66145536369,
          "p85": 27855.750198922757
        },
        "0.70": {
          "p15": 22309.93942681356,
          "p50": 25304.79134619027,
          "p85": 28398.902310071095
        }
      },
      "total": {
        "low": 22310,
        "model_mid": 25320,
        "high": 28400,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "core_evidence": {
        "source_linked_model_components": 0,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MIXED_CALIBRATION_CORE",
        "search_index_eligible": true,
        "index_gate_reason": null,
        "components": {
          "rent": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "cape_town_rent",
                "publisher": "PayProp / market reporting",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "utilities_connectivity": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cape_town_household",
                "publisher": "Statistics South Africa",
                "observation_period": "2022-23 / published 2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "groceries": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cape_town_household",
                "publisher": "Statistics South Africa",
                "observation_period": "2022-23 / published 2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "eating_out": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cape_town_household",
                "publisher": "Statistics South Africa",
                "observation_period": "2022-23 / published 2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          },
          "transit": {
            "state": "DIRECT_COMPONENT_CALIBRATION",
            "search_comparison_grade": true,
            "sources": [
              {
                "source_id": "cape_town_transit",
                "publisher": "MyCiTi",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Captured numeric evidence measures this category or a closely matched subcomponent."
          },
          "household_personal": {
            "state": "BROAD_CALIBRATION",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "cape_town_household",
                "publisher": "Statistics South Africa",
                "observation_period": "2022-23 / published 2025"
              }
            ],
            "granularity_note": "Captured numeric evidence is broader household/per-person spending context, not a direct measurement of this category."
          }
        },
        "numeric_calibration_components": 6,
        "direct_component_components": 2,
        "broad_calibration_components": 4
      }
    },
    "Nairobi": {
      "country": "Kenya",
      "currency": "KES",
      "publication_state": "PROVISIONAL",
      "confidence": "Low",
      "provisional_reason": "The current household proxy is still based on older published evidence; KNBS lists the 2025/26 household-budget survey as ongoing. Current rent/transit evidence is useful, but the city remains provisional until newer household results are available.",
      "components": {
        "rent": {
          "low": 33000.0,
          "mode": 55000.0,
          "high": 79750.0,
          "source_refs": [
            "nairobi_rent"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "utilities_connectivity": {
          "low": 6000.0,
          "mode": 10000.0,
          "high": 15500.0,
          "source_refs": [
            "nairobi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "groceries": {
          "low": 13200.0,
          "mode": 22000.0,
          "high": 33000.0,
          "source_refs": [
            "nairobi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "volatile",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "eating_out": {
          "low": 8040.0,
          "mode": 12000.0,
          "high": 17400.0,
          "source_refs": [
            "nairobi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        },
        "transit": {
          "low": 3750.0,
          "mode": 5000.0,
          "high": 6500.0,
          "source_refs": [
            "nairobi_transit"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "admin_or_usage",
          "confidence_score": 6,
          "confidence": "Low"
        },
        "household_personal": {
          "low": 4550.0,
          "mode": 7000.0,
          "high": 10150.0,
          "source_refs": [
            "nairobi_household"
          ],
          "evidence_role": "direct_or_calibration_source",
          "derivation_method": "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.",
          "volatility_class": "stable",
          "confidence_score": 5,
          "confidence": "Low"
        }
      },
      "earnings": {
        "state": "UNAVAILABLE",
        "display": "Comparable official earnings benchmark unavailable until a period/geography/basis-matched earnings record is linked."
      },
      "sensitivity_quantiles": {
        "0.00": {
          "p15": 102363.71578978683,
          "p50": 113804.7460580189,
          "p85": 125613.59962427002
        },
        "0.35": {
          "p15": 98625.12306684734,
          "p50": 113703.43566521272,
          "p85": 129461.50013985082
        },
        "0.70": {
          "p15": 95494.24674758472,
          "p50": 113610.47687294566,
          "p85": 132699.3086224918
        }
      },
      "total": {
        "low": 95500,
        "model_mid": 113700,
        "high": 132700,
        "band_method": "outer P15/P85 envelope across rho=0.00/0.35/0.70 sensitivity scenarios"
      },
      "supplemental_source_refs": [
        "nairobi_kihbs_2025_26_status"
      ],
      "core_evidence": {
        "source_linked_model_components": 6,
        "deeper_evidence_records": 0,
        "core_evidence_state": "MODEL_ONLY_CORE",
        "search_index_eligible": false,
        "index_gate_reason": "Zero core components have captured numeric calibration evidence and no deeper published evidence profile exists yet.",
        "components": {
          "rent": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_rent",
                "publisher": "BuyRentKenya",
                "observation_period": "2026-09"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "utilities_connectivity": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_household",
                "publisher": "Kenya National Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "groceries": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_household",
                "publisher": "Kenya National Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "eating_out": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_household",
                "publisher": "Kenya National Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "transit": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_transit",
                "publisher": "KNBS / local fare monitoring",
                "observation_period": "2026"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          },
          "household_personal": {
            "state": "SOURCE_LINKED_MODEL_ANCHOR",
            "search_comparison_grade": false,
            "sources": [
              {
                "source_id": "nairobi_household",
                "publisher": "Kenya National Bureau of Statistics",
                "observation_period": "2022"
              }
            ],
            "granularity_note": "Source metadata is linked, but no numeric observation is captured in the core ledger."
          }
        },
        "numeric_calibration_components": 0,
        "direct_component_components": 0,
        "broad_calibration_components": 0
      }
    }
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  "site_version": "V7.1"
}