Economy - FUAs — Employment at place of work in Hampden

Hampden: Economy - FUAs — Employment at place of work was 297,625 Persons in 2022. ▬ Flat

Latest (2022)
297,625 Persons
Change on year
up 1.0%
Rank
201st
of 487 regions
All-time high
311,459 Persons
in 2019
All-time low
278,614 Persons
in 2010
Years of data
22
2001–2022

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

0100.0k200.0k300.0k2001201120222001: 295.1k Persons2002: 297.1k Persons2003: 295.4k Persons2004: 296.6k Persons2005: 295.6k Persons2006: 296.7k Persons2007: 296.7k Persons2008: 296.1k Persons2009: 287.6k Persons2010: 278.6k Persons2011: 279.7k Persons2012: 282.2k Persons2013: 281.7k Persons2014: 288.1k Persons2015: 292.0k Persons2016: 295.0k Persons2017: 302.6k Persons2018: 309.8k Persons2019: 311.5k Persons2020: 283.7k Persons2021: 294.6k Persons2022: 297.6k Persons

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

Analysis

Hampden recorded 297,625 Persons for economy - fuas — employment at place of work in 2022.

That represents a change of up 1.0% on the previous year and up 5.5% over ten years.

Over the whole period, economy - fuas — employment at place of work in Hampden peaked at 311,459 Persons in 2019 and was at its lowest, 278,614 Persons, in 2010.

That places Hampden 201st out of 487 regions with data for 2022, putting it in the middle of the range.

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

Annual values for Economy - FUAs — Employment at place of work in Hampden, 2001 to 2022.
Year Persons Change
2001 295,061 Persons
2002 297,112 Persons +0.7%
2003 295,406 Persons -0.6%
2004 296,623 Persons +0.4%
2005 295,626 Persons -0.3%
2006 296,668 Persons +0.4%
2007 296,699 Persons +0.0%
2008 296,115 Persons -0.2%
2009 287,613 Persons -2.9%
2010 278,614 Persons -3.1%
2011 279,734 Persons +0.4%
2012 282,157 Persons +0.9%
2013 281,700 Persons -0.2%
2014 288,058 Persons +2.3%
2015 292,009 Persons +1.4%
2016 294,966 Persons +1.0%
2017 302,595 Persons +2.6%
2018 309,843 Persons +2.4%
2019 311,459 Persons +0.5%
2020 283,678 Persons -8.9%
2021 294,618 Persons +3.9%
2022 297,625 Persons +1.0%

Averages by decade

DecadeAverage LowestHighest Years
2000s 295,214 Persons 287,613 Persons 297,112 Persons 9
2010s 292,114 Persons 278,614 Persons 311,459 Persons 10
2020s 291,974 Persons 283,678 Persons 297,625 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Hampden?
Economy - fuas — employment at place of work in Hampden was 297,625 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 Hampden?
The highest recorded value was 311,459 Persons in 2019.
What is the lowest economy - fuas — employment at place of work recorded in Hampden?
The lowest recorded value was 278,614 Persons in 2010.
How does Hampden rank for economy - fuas — employment at place of work?
Hampden ranks 201st out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Hampden?
Over the last ten years it is up 5.5%. The long-run trend across the full record is flat.
Where does this Hampden 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 Hampden. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 02 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/hampden/

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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