Population and built-up density - Cities and FUAs — Urbanised area in Washington (Greater)
Washington (Greater): Population and built-up density - Cities and FUAs — Urbanised area was 483 Square kilometres in 2030. ▲ Rising
Population and built-up density - Cities and FUAs — Urbanised area in Washington (Greater), 1975–2030
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
The most recent figure for population and built-up density - cities and fuas — urbanised area in Washington (Greater) is 483 Square kilometres, measured in 2030. That is the highest value across all 12 years on record.
That represents a change of up 4.5% over ten years.
Over the whole period, population and built-up density - cities and fuas — urbanised area in Washington (Greater) peaked at 483 Square kilometres in 2030 and was at its lowest, 223 Square kilometres, in 1975.
Washington (Greater) ranks 18th of 1364 regions on this measure, in the top 10%.
The long-run direction has been consistently rising across the 12 years of available data.
Population and built-up density - Cities and FUAs — Urbanised area in Washington (Greater), year by year
| Year | Square kilometres | Change |
|---|---|---|
| 1975 | 223 Square kilometres | — |
| 1980 | 240 Square kilometres | +7.6% |
| 1985 | 258 Square kilometres | +7.5% |
| 1990 | 276 Square kilometres | +7.0% |
| 1995 | 316 Square kilometres | +14.5% |
| 2000 | 361 Square kilometres | +14.2% |
| 2005 | 389 Square kilometres | +7.8% |
| 2010 | 419 Square kilometres | +7.7% |
| 2015 | 447 Square kilometres | +6.7% |
| 2020 | 462 Square kilometres | +3.4% |
| 2025 | 476 Square kilometres | +3.0% |
| 2030 | 483 Square kilometres | +1.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 223 Square kilometres | 223 Square kilometres | 223 Square kilometres | 1 |
| 1980s | 249 Square kilometres | 240 Square kilometres | 258 Square kilometres | 2 |
| 1990s | 296 Square kilometres | 276 Square kilometres | 316 Square kilometres | 2 |
| 2000s | 375 Square kilometres | 361 Square kilometres | 389 Square kilometres | 2 |
| 2010s | 433 Square kilometres | 419 Square kilometres | 447 Square kilometres | 2 |
| 2020s | 469 Square kilometres | 462 Square kilometres | 476 Square kilometres | 2 |
| 2030s | 483 Square kilometres | 483 Square kilometres | 483 Square kilometres | 1 |
More population data for Washington (Greater)
- Heat stress - Cities and FUAs — Mean population exposure to heat 80.26 Days per year (2025)
- Population by age and sex - Cities and FUAs 5.35 million Persons (2024)
- Foreign-born population - Cities and FUAs 26.6 Percentage of population (2023)
Frequently asked questions
- What is population and built-up density - cities and fuas — urbanised area in Washington (Greater)?
- Population and built-up density - cities and fuas — urbanised area in Washington (Greater) was 483 Square kilometres in 2030, according to Organisation for Economic Co-operation and Development.
- What is the highest population and built-up density - cities and fuas — urbanised area recorded in Washington (Greater)?
- The highest recorded value was 483 Square kilometres in 2030.
- What is the lowest population and built-up density - cities and fuas — urbanised area recorded in Washington (Greater)?
- The lowest recorded value was 223 Square kilometres in 1975.
- How does Washington (Greater) rank for population and built-up density - cities and fuas — urbanised area?
- Washington (Greater) ranks 18th out of 1364 regions with data for 2030.
- Is population and built-up density - cities and fuas — urbanised area rising or falling in Washington (Greater)?
- Over the last ten years it is up 4.5%. The long-run trend across the full record is rising.
- Where does this Washington (Greater) data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Population and built-up density - Cities and FUAs — Urbanised area. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators of population density and built-up area in FUAs and cities. Data sources and methodology FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHSL built-up surface grids (European Commission, GHSL Data Package 2023). Population counts are extracted from the Population by age and sex - FUAs and cities dataset. GHSL is used as it provides harmonised, globally consistent coverage at fine spatial resolution (100 m), enabling the production of comparable subnational indicators on built-up areas. These estimates may differ from official subnational built-up statistics due to differences in methodologies, such as top down remote-sensing based estimations versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify built up areas. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Population and built-up density - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org