Economy - FUAs — Employment at place of work in Vanderburgh

Vanderburgh: Economy - FUAs — Employment at place of work was 172,047 Persons in 2022. ▬ Flat

Latest (2022)
172,047 Persons
Change on year
up 1.2%
Rank
355th
of 487 regions
All-time high
178,182 Persons
in 2018
All-time low
160,723 Persons
in 2009
Years of data
22
2001–2022

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

050.0k100.0k150.0k200.0k2001201120222001: 167.3k Persons2002: 168.4k Persons2003: 168.4k Persons2004: 165.5k Persons2005: 167.3k Persons2006: 168.5k Persons2007: 165.9k Persons2008: 167.1k Persons2009: 160.7k Persons2010: 161.3k Persons2011: 164.2k Persons2012: 163.3k Persons2013: 163.2k Persons2014: 167.4k Persons2015: 170.1k Persons2016: 172.8k Persons2017: 175.0k Persons2018: 178.2k Persons2019: 177.1k Persons2020: 165.5k Persons2021: 170.1k Persons2022: 172.0k Persons

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

Analysis

Vanderburgh recorded 172,047 Persons for economy - fuas — employment at place of work in 2022.

That represents a change of up 1.2% on the previous year and up 5.4% over ten years.

Over the whole period, economy - fuas — employment at place of work in Vanderburgh peaked at 178,182 Persons in 2018 and was at its lowest, 160,723 Persons, in 2009.

Vanderburgh ranks 355th of 487 regions on this measure, in the middle of the range.

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

Annual values for Economy - FUAs — Employment at place of work in Vanderburgh, 2001 to 2022.
Year Persons Change
2001 167,348 Persons
2002 168,445 Persons +0.7%
2003 168,437 Persons -0.0%
2004 165,475 Persons -1.8%
2005 167,258 Persons +1.1%
2006 168,516 Persons +0.8%
2007 165,934 Persons -1.5%
2008 167,065 Persons +0.7%
2009 160,723 Persons -3.8%
2010 161,264 Persons +0.3%
2011 164,244 Persons +1.8%
2012 163,251 Persons -0.6%
2013 163,222 Persons -0.0%
2014 167,357 Persons +2.5%
2015 170,103 Persons +1.6%
2016 172,824 Persons +1.6%
2017 175,032 Persons +1.3%
2018 178,182 Persons +1.8%
2019 177,092 Persons -0.6%
2020 165,536 Persons -6.5%
2021 170,086 Persons +2.7%
2022 172,047 Persons +1.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 166,578 Persons 160,723 Persons 168,516 Persons 9
2010s 169,257 Persons 161,264 Persons 178,182 Persons 10
2020s 169,223 Persons 165,536 Persons 172,047 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Vanderburgh?
Economy - fuas — employment at place of work in Vanderburgh was 172,047 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 Vanderburgh?
The highest recorded value was 178,182 Persons in 2018.
What is the lowest economy - fuas — employment at place of work recorded in Vanderburgh?
The lowest recorded value was 160,723 Persons in 2009.
How does Vanderburgh rank for economy - fuas — employment at place of work?
Vanderburgh ranks 355th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Vanderburgh?
Over the last ten years it is up 5.4%. The long-run trend across the full record is flat.
Where does this Vanderburgh 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 Vanderburgh. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/vanderburgh/

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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