Economy - FUAs — Employment at place of work in Brown

Brown: Economy - FUAs — Employment at place of work was 167,354 Persons in 2022. ▲ Rising

Latest (2022)
167,354 Persons
Change on year
up 0.3%
Rank
366th
of 487 regions
All-time high
170,011 Persons
in 2018
All-time low
155,991 Persons
in 2010
Years of data
22
2001–2022

Economy - FUAs — Employment at place of work in Brown, 2001–2022

050.0k100.0k150.0k2001201120222001: 157.1k Persons2002: 156.7k Persons2003: 159.0k Persons2004: 161.4k Persons2005: 160.3k Persons2006: 161.9k Persons2007: 163.1k Persons2008: 163.3k Persons2009: 159.0k Persons2010: 156.0k Persons2011: 157.1k Persons2012: 157.9k Persons2013: 158.6k Persons2014: 161.1k Persons2015: 163.1k Persons2016: 166.0k Persons2017: 169.8k Persons2018: 170.0k Persons2019: 168.4k Persons2020: 162.4k Persons2021: 166.8k Persons2022: 167.4k Persons

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

Analysis

The most recent figure for economy - fuas — employment at place of work in Brown is 167,354 Persons, measured in 2022.

Compared with earlier readings it is up 0.3% on the previous year and up 6.0% over ten years.

Over the whole period, economy - fuas — employment at place of work in Brown peaked at 170,011 Persons in 2018 and was at its lowest, 155,991 Persons, in 2010.

Brown ranks 366th of 487 regions on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 22 years of available data.

Economy - FUAs — Employment at place of work in Brown, year by year

Annual values for Economy - FUAs — Employment at place of work in Brown, 2001 to 2022.
Year Persons Change
2001 157,089 Persons
2002 156,701 Persons -0.2%
2003 159,002 Persons +1.5%
2004 161,362 Persons +1.5%
2005 160,329 Persons -0.6%
2006 161,857 Persons +1.0%
2007 163,068 Persons +0.7%
2008 163,259 Persons +0.1%
2009 159,026 Persons -2.6%
2010 155,991 Persons -1.9%
2011 157,084 Persons +0.7%
2012 157,853 Persons +0.5%
2013 158,640 Persons +0.5%
2014 161,061 Persons +1.5%
2015 163,076 Persons +1.3%
2016 165,959 Persons +1.8%
2017 169,850 Persons +2.3%
2018 170,011 Persons +0.1%
2019 168,404 Persons -0.9%
2020 162,389 Persons -3.6%
2021 166,809 Persons +2.7%
2022 167,354 Persons +0.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 160,188 Persons 156,701 Persons 163,259 Persons 9
2010s 162,793 Persons 155,991 Persons 170,011 Persons 10
2020s 165,517 Persons 162,389 Persons 167,354 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Brown?
Economy - fuas — employment at place of work in Brown was 167,354 Persons in 2022, according to Organisation for Economic Co-operation and Development.
What is the highest economy - fuas — employment at place of work recorded in Brown?
The highest recorded value was 170,011 Persons in 2018.
What is the lowest economy - fuas — employment at place of work recorded in Brown?
The lowest recorded value was 155,991 Persons in 2010.
How does Brown rank for economy - fuas — employment at place of work?
Brown ranks 366th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Brown?
Over the last ten years it is up 6.0%. The long-run trend across the full record is rising.
Where does this Brown data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Economy - FUAs — Employment at place of work. Statizoid updates them automatically from the source API.

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Economy - FUAs — Employment at place of work in Brown. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 31 August 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/brown/

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About this data

Indicator
Economy - FUAs — Employment at place of work
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
493 places, 10,805 data points, 2000–2023
Last refreshed

This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity. Data sources and methodology When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data (European Commission, GHSL Data Package 2023). 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. GDP) 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. When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (US Bureau of Economic Analysis), and then aggregated by FUA. 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 (Economy - 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