Economy - FUAs — Employment at place of work in Washtenaw

Washtenaw: Economy - FUAs — Employment at place of work was 188,407 Persons in 2022. ▬ Flat

Latest (2022)
188,407 Persons
Change on year
up 4.3%
Rank
320th
of 487 regions
All-time high
193,721 Persons
in 2019
All-time low
167,029 Persons
in 2010
Years of data
22
2001–2022

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

050.0k100.0k150.0k200.0k2001201120222001: 186.3k Persons2002: 178.7k Persons2003: 177.2k Persons2004: 179.8k Persons2005: 181.8k Persons2006: 180.8k Persons2007: 178.9k Persons2008: 175.5k Persons2009: 168.9k Persons2010: 167.0k Persons2011: 168.9k Persons2012: 171.7k Persons2013: 173.9k Persons2014: 178.5k Persons2015: 182.2k Persons2016: 184.9k Persons2017: 187.6k Persons2018: 190.4k Persons2019: 193.7k Persons2020: 181.1k Persons2021: 180.7k Persons2022: 188.4k Persons

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

Analysis

Washtenaw recorded 188,407 Persons for economy - fuas — employment at place of work in 2022.

Compared with earlier readings it is up 4.3% on the previous year and up 9.7% over ten years.

Over the whole period, economy - fuas — employment at place of work in Washtenaw peaked at 193,721 Persons in 2019 and was at its lowest, 167,029 Persons, in 2010.

That places Washtenaw 320th out of 487 regions with data for 2022, putting it in the middle of the range.

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

Annual values for Economy - FUAs — Employment at place of work in Washtenaw, 2001 to 2022.
Year Persons Change
2001 186,251 Persons
2002 178,688 Persons -4.1%
2003 177,153 Persons -0.9%
2004 179,787 Persons +1.5%
2005 181,788 Persons +1.1%
2006 180,812 Persons -0.5%
2007 178,911 Persons -1.1%
2008 175,542 Persons -1.9%
2009 168,881 Persons -3.8%
2010 167,029 Persons -1.1%
2011 168,851 Persons +1.1%
2012 171,673 Persons +1.7%
2013 173,864 Persons +1.3%
2014 178,468 Persons +2.6%
2015 182,177 Persons +2.1%
2016 184,916 Persons +1.5%
2017 187,588 Persons +1.4%
2018 190,375 Persons +1.5%
2019 193,721 Persons +1.8%
2020 181,100 Persons -6.5%
2021 180,685 Persons -0.2%
2022 188,407 Persons +4.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 178,646 Persons 168,881 Persons 186,251 Persons 9
2010s 179,866 Persons 167,029 Persons 193,721 Persons 10
2020s 183,397 Persons 180,685 Persons 188,407 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Washtenaw?
Economy - fuas — employment at place of work in Washtenaw was 188,407 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 Washtenaw?
The highest recorded value was 193,721 Persons in 2019.
What is the lowest economy - fuas — employment at place of work recorded in Washtenaw?
The lowest recorded value was 167,029 Persons in 2010.
How does Washtenaw rank for economy - fuas — employment at place of work?
Washtenaw ranks 320th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Washtenaw?
Over the last ten years it is up 9.7%. The long-run trend across the full record is flat.
Where does this Washtenaw 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 Washtenaw. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 06 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/washtenaw/

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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