Labour market - FUAs — Labour force in Richmond (Greater)

Richmond (Greater): Labour market - FUAs — Labour force was 660,676 Persons in 2023. ▲ Rising

Latest (2023)
660,676 Persons
Change on year
up 3.3%
Rank
118th
of 579 regions
All-time high
660,676 Persons
in 2023
All-time low
493,540 Persons
in 2000
Years of data
24
2000–2023

Labour market - FUAs — Labour force in Richmond (Greater), 2000–2023

0200.0k400.0k600.0k2000201120232000: 493.5k Persons2001: 503.0k Persons2002: 509.1k Persons2003: 513.7k Persons2004: 523.9k Persons2005: 536.0k Persons2006: 546.8k Persons2007: 556.3k Persons2008: 569.0k Persons2009: 565.5k Persons2010: 571.6k Persons2011: 577.6k Persons2012: 582.8k Persons2013: 588.4k Persons2014: 598.0k Persons2015: 600.0k Persons2016: 607.1k Persons2017: 620.4k Persons2018: 622.6k Persons2019: 631.4k Persons2020: 620.8k Persons2021: 618.5k Persons2022: 639.3k Persons2023: 660.7k Persons

Source: Organisation for Economic Co-operation and Development. Measured in Persons.

Analysis

Richmond (Greater) recorded 660,676 Persons for labour market - fuas — labour force in 2023. That is the highest value across all 24 years on record.

The figure is up 3.3% on the previous year and up 12.3% over ten years.

Over the whole period, labour market - fuas — labour force in Richmond (Greater) peaked at 660,676 Persons in 2023 and was at its lowest, 493,540 Persons, in 2000.

That places Richmond (Greater) 118th out of 579 regions with data for 2023, putting it in the top quarter.

The long-run direction has been consistently rising across the 24 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 531,682 Persons 493,540 Persons 569,012 Persons 10
2010s 599,974 Persons 571,570 Persons 631,378 Persons 10
2020s 634,824 Persons 618,508 Persons 660,676 Persons 4

More work & labour data for Richmond (Greater)

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Frequently asked questions

What is labour market - fuas — labour force in Richmond (Greater)?
Labour market - fuas — labour force in Richmond (Greater) was 660,676 Persons in 2023, according to Organisation for Economic Co-operation and Development.
What is the highest labour market - fuas — labour force recorded in Richmond (Greater)?
The highest recorded value was 660,676 Persons in 2023.
What is the lowest labour market - fuas — labour force recorded in Richmond (Greater)?
The lowest recorded value was 493,540 Persons in 2000.
How does Richmond (Greater) rank for labour market - fuas — labour force?
Richmond (Greater) ranks 118th out of 579 regions with data for 2023.
Is labour market - fuas — labour force rising or falling in Richmond (Greater)?
Over the last ten years it is up 12.3%. The long-run trend across the full record is rising.
Where does this Richmond (Greater) data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Labour market - FUAs — Labour force. Statizoid updates them automatically from the source API.

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Labour market - FUAs — Labour force in Richmond (Greater). Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 August 2026, from https://labour.statizoid.com/stat/labour-market-fuas-labour-force/richmond-greater/

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About this data

Indicator
Labour market - FUAs — Labour force
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
582 places, 11,951 data points, 2000–2024
Last refreshed

<p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>