Is the UAE income percentile data free to use?

Yes. It is published under CC BY 4.0, so you can use it commercially, redistribute it and build on it, provided you attribute The UAE Wealth Dashboard. There is no signup, no API key and no rate limit.

What formats is the dataset available in?

CSV and JSON, both served as static files at the site root. The CSV carries three tables with comment headers; the JSON is a single nested object with the same content.

How often is the dataset updated?

It is rebuilt whenever an underlying source publishes new data, principally the annual recruiter salary guides and the UBS Global Wealth Report. The version field carries the compile date.

Is this official UAE government data?

No. No official UAE income percentile series is published, which is why this model exists. Every input is a published source, but the percentile curves themselves are modelled estimates and should be described that way in any citation.

Home › Open dataset: UAE income and wealth percentiles

Open dataset: UAE income and wealth percentiles

Updated 4 August 2026 · The UAE Wealth Dashboard · Methodology and sources

The percentile thresholds behind this site are published as a free CSV and JSON download under a CC BY 4.0 licence. Income thresholds at five-point steps for four separate populations, net worth percentiles per adult, and per-emirate population, wealth per adult and rents.

Formats: CSV and JSON
Licence: CC BY 4.0, attribution to The UAE Wealth Dashboard
Cost: Free, no signup, no API key
Coverage: United Arab Emirates, all seven emirates
Rows: 21 percentile steps across four population views, plus wealth and emirate tables
Version: 2026-08-04

What is in the dataset?

Three tables. The first gives gross monthly and annual income at 21 percentile steps for each of four populations. The second gives household net worth per adult at the same steps. The third gives population, GDP per capita, the average professional salary index, wealth per adult and one-bedroom rent for each of the seven emirates.

Download CSV Download JSON

Why are there four different income views?

Because UAE income statistics disagree with each other by a factor of three, and the disagreement is real rather than an error. The 2024 Labour Force Survey reports a median around AED 10,000 a month. Wage Protection System coverage indicates more than 60% of workers earn under AED 5,000. Both describe the population each actually measures: household surveys do not reach labour camps and collective accommodation, which is where a large share of the workforce lives. Publishing a single number would mean quietly picking a side, so the dataset carries all four frames and names them.

Percentile	All workers	Survey frame	Professionals	Household
1st	AED 820	AED 1,326	AED 4,610	AED 4,044
10th	AED 1,415	AED 2,648	AED 8,779	AED 7,495
25th	AED 2,035	AED 4,570	AED 12,869	AED 11,336
50th	AED 3,662	AED 8,926	AED 20,010	AED 19,720
75th	AED 9,068	AED 16,635	AED 32,476	AED 37,850
90th	AED 21,674	AED 30,814	AED 55,520	AED 74,837
95th	AED 34,244	AED 46,189	AED 83,129	AED 112,093
99th	AED 87,333	AED 115,188	AED 183,120	AED 218,292

All figures are gross monthly income in UAE dirhams as of 4 August 2026. There is no personal income tax on UAE salaries, so for expatriate employees these are also take-home figures.

How can I cite it?

Attribution to The UAE Wealth Dashboard (https://wealthdashboarduae.com) is all the licence requires. If you are citing something load-bearing, please also say that the figures are modelled estimates rather than official statistics, and name which of the four population views you used. Getting that second part wrong is the single most common error in UAE salary reporting.

How was it built?

The income model is fitted to four published anchors: the Wage Protection System finding on the share below AED 5,000, the Labour Force Survey median and mean, crowd-sourced professional medians, and published recruiter executive bands. The wealth curve is derived from World Inequality Database wealth shares. The about page sets out the sources in full and the methodology lists the calibration tests the model has to pass, including the places where it does not fully reconcile.

What are the known limitations?

Uncertainty is widest at the very top and the very bottom of the distribution, where source coverage is thinnest. The wealth curve places one million US dollars at roughly the 94.5th percentile, which implies more millionaires than UBS counts, and that gap is documented rather than smoothed over. The largest outstanding problem is that the 2024 national Household Income and Expenditure Survey, which surveyed about 19,000 families and completed fieldwork in December 2024, has still not been published. When it is, several assumptions here can be replaced with measured values.

Check your own percentile on the interactive dashboard →

Frequently asked questions

Is the UAE income percentile data free to use?: Yes. It is published under CC BY 4.0, so you can use it commercially, redistribute it and build on it, provided you attribute The UAE Wealth Dashboard. There is no signup, no API key and no rate limit.
What formats is the dataset available in?: CSV and JSON, both served as static files at the site root. The CSV carries three tables with comment headers; the JSON is a single nested object with the same content.
How often is the dataset updated?: It is rebuilt whenever an underlying source publishes new data, principally the annual recruiter salary guides and the UBS Global Wealth Report. The version field carries the compile date.
Is this official UAE government data?: No. No official UAE income percentile series is published, which is why this model exists. Every input is a published source, but the percentile curves themselves are modelled estimates and should be described that way in any citation.

All figures are modelled estimates compiled 2026-08-04 from the World Inequality Database, UBS Global Wealth Report, UAE Federal Competitiveness & Statistics Centre, Henley & Partners, and published recruiter salary guides. Full methodology and sources.