Dubai vs London
Compare the same six-category planning model in both cities, with the evidence state shown for every component so model anchors are not mistaken for direct observations.
At a glance
The full six-category planning model remains useful for scenario planning. 2 of 6 categories have direct component-level numeric evidence on both sides, while 2 of 6 have some captured numeric calibration on both sides. Broad calibration is weaker than a direct category observation, and model-only categories remain normalized planning inputs.
| Core category | Dubai | London |
|---|---|---|
| Rent · 1BR non-prime | AED 5,100Source-linked model | £1,650Direct component evidence |
| Utilities + connectivity | AED 1,000Direct component evidence | £280Direct component evidence |
| Groceries | AED 1,300Direct component evidence | £330Source-linked model |
| Eating out | AED 800Direct component evidence | £180Source-linked model |
| Public transit | AED 400Direct component evidence | £202Direct component evidence |
| Household + personal | AED 450Direct component evidence | £150Source-linked model |
| Full six-category model midpoint | AED 9,170 | £2,810 |
What drives the difference?
Rent is the largest modeled component in both cities: about 56% of Dubai's six-category component sum and 59% of London's. The comparison is strongest where both sides carry direct component evidence. Broad calibration is useful context but is not a direct category measurement; a source-linked model anchor is weaker still. Matching rounded values should not be read as proof that real-world costs are identical.
Evidence behind this comparison
| Core category | Dubai | London | How to interpret |
|---|---|---|---|
| Rent · 1BR non-prime | Source-linked model | Direct component evidenceOffice for National Statistics · August 2026 | At least one side is a source-linked model anchor without a captured numeric observation; do not read matching values as measured equality. |
| Utilities + connectivity | Direct component evidenceDubai Statistics Center · 2014 (HIES 2014/2015) | Direct component evidenceOfgem · 1 Jul–30 Sep 2026 | Both sides have direct component-level numeric evidence; the modeled values are still normalized planning anchors. |
| Groceries | Direct component evidenceUAE Ministry of Economy & Tourism · 2026-08/09 | Source-linked model | At least one side is a source-linked model anchor without a captured numeric observation; do not read matching values as measured equality. |
| Eating out | Direct component evidenceDubai Statistics Center · 2014 (HIES 2014/2015) | Source-linked model | At least one side is a source-linked model anchor without a captured numeric observation; do not read matching values as measured equality. |
| Public transit | Direct component evidenceRoads and Transport Authority Dubai · 2026 | Direct component evidenceTransport for London · 2026 | Both sides have direct component-level numeric evidence; the modeled values are still normalized planning anchors. |
| Household + personal | Direct component evidenceDubai Statistics Center · 2014 (HIES 2014/2015) | Source-linked model | At least one side is a source-linked model anchor without a captured numeric observation; do not read matching values as measured equality. |
Planning ranges, not single answers
For Dubai, the published one-person model band runs from 8000 to 10400. For London, it runs from 2470 to 3150. These bands are generated from the same persona and uncertainty framework, so they are more useful for scenario planning than a point estimate alone.
Why some numbers can match across cities
Every row has observed calibration on at least one side, and any model-only side remains labeled. Equal rounded values can still occur, so the underlying sources and ranges should be checked before treating equality as exact.
Source depth on each city page
Dubai: 5/6 core components have captured numeric observations and 0 deeper evidence records are published. London: 3/6 core components have captured numeric observations and 20 deeper evidence records are published. The city pages show the source publishers, observation periods and evidence status component by component.