Economy - FUAs — Employment at place of work in Kern

Kern: Economy - FUAs — Employment at place of work was 361,731 Persons in 2022. ▲ Rising

Latest (2022)
361,731 Persons
Change on year
up 4.3%
Rank
169th
of 487 regions
All-time high
361,731 Persons
in 2022
All-time low
271,662 Persons
in 2001
Years of data
22
2001–2022

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

0100.0k200.0k300.0k400.0k2001201120222001: 271.7k Persons2002: 275.3k Persons2003: 279.1k Persons2004: 283.3k Persons2005: 299.5k Persons2006: 311.3k Persons2007: 317.6k Persons2008: 323.9k Persons2009: 311.7k Persons2010: 312.6k Persons2011: 324.4k Persons2012: 339.0k Persons2013: 345.6k Persons2014: 350.6k Persons2015: 350.0k Persons2016: 347.7k Persons2017: 348.5k Persons2018: 354.6k Persons2019: 357.7k Persons2020: 336.8k Persons2021: 346.8k Persons2022: 361.7k Persons

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

Analysis

Kern recorded 361,731 Persons for economy - fuas — employment at place of work in 2022. That is the highest value across all 22 years on record.

The figure is up 4.3% on the previous year and up 6.7% over ten years.

Over the whole period, economy - fuas — employment at place of work in Kern peaked at 361,731 Persons in 2022 and was at its lowest, 271,662 Persons, in 2001.

Kern ranks 169th of 487 regions on this measure, in the middle of the range.

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

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

Annual values for Economy - FUAs — Employment at place of work in Kern, 2001 to 2022.
Year Persons Change
2001 271,662 Persons
2002 275,304 Persons +1.3%
2003 279,088 Persons +1.4%
2004 283,267 Persons +1.5%
2005 299,496 Persons +5.7%
2006 311,254 Persons +3.9%
2007 317,578 Persons +2.0%
2008 323,903 Persons +2.0%
2009 311,669 Persons -3.8%
2010 312,565 Persons +0.3%
2011 324,431 Persons +3.8%
2012 338,994 Persons +4.5%
2013 345,566 Persons +1.9%
2014 350,631 Persons +1.5%
2015 350,046 Persons -0.2%
2016 347,697 Persons -0.7%
2017 348,493 Persons +0.2%
2018 354,550 Persons +1.7%
2019 357,720 Persons +0.9%
2020 336,819 Persons -5.8%
2021 346,804 Persons +3.0%
2022 361,731 Persons +4.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 297,025 Persons 271,662 Persons 323,903 Persons 9
2010s 343,069 Persons 312,565 Persons 357,720 Persons 10
2020s 348,451 Persons 336,819 Persons 361,731 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Kern?
Economy - fuas — employment at place of work in Kern was 361,731 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 Kern?
The highest recorded value was 361,731 Persons in 2022.
What is the lowest economy - fuas — employment at place of work recorded in Kern?
The lowest recorded value was 271,662 Persons in 2001.
How does Kern rank for economy - fuas — employment at place of work?
Kern ranks 169th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Kern?
Over the last ten years it is up 6.7%. The long-run trend across the full record is rising.
Where does this Kern 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 Kern. 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/kern/

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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