Economy - FUAs — Employment at place of work in Potter

Potter: Economy - FUAs — Employment at place of work was 141,765 Persons in 2022. ▬ Flat

Latest (2022)
141,765 Persons
Change on year
up 1.4%
Rank
409th
of 487 regions
All-time high
141,765 Persons
in 2022
All-time low
128,850 Persons
in 2001
Years of data
22
2001–2022

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

050.0k100.0k150.0k2001201120222001: 128.8k Persons2002: 131.0k Persons2003: 134.6k Persons2004: 136.4k Persons2005: 136.1k Persons2006: 139.1k Persons2007: 138.7k Persons2008: 139.3k Persons2009: 139.5k Persons2010: 134.2k Persons2011: 136.8k Persons2012: 137.1k Persons2013: 136.7k Persons2014: 138.5k Persons2015: 138.3k Persons2016: 139.4k Persons2017: 137.6k Persons2018: 137.8k Persons2019: 138.6k Persons2020: 134.5k Persons2021: 139.8k Persons2022: 141.8k Persons

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

Analysis

Potter recorded 141,765 Persons for economy - fuas — employment at place of work in 2022. That is the highest value across all 22 years on record.

That represents a change of up 1.4% on the previous year and up 3.4% over ten years.

Over the whole period, economy - fuas — employment at place of work in Potter peaked at 141,765 Persons in 2022 and was at its lowest, 128,850 Persons, in 2001.

That places Potter 409th out of 487 regions with data for 2022, putting it in the bottom quarter.

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

Annual values for Economy - FUAs — Employment at place of work in Potter, 2001 to 2022.
Year Persons Change
2001 128,850 Persons
2002 130,970 Persons +1.6%
2003 134,551 Persons +2.7%
2004 136,426 Persons +1.4%
2005 136,119 Persons -0.2%
2006 139,125 Persons +2.2%
2007 138,702 Persons -0.3%
2008 139,308 Persons +0.4%
2009 139,538 Persons +0.2%
2010 134,245 Persons -3.8%
2011 136,833 Persons +1.9%
2012 137,144 Persons +0.2%
2013 136,684 Persons -0.3%
2014 138,452 Persons +1.3%
2015 138,251 Persons -0.1%
2016 139,369 Persons +0.8%
2017 137,604 Persons -1.3%
2018 137,764 Persons +0.1%
2019 138,614 Persons +0.6%
2020 134,479 Persons -3.0%
2021 139,770 Persons +3.9%
2022 141,765 Persons +1.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 135,954 Persons 128,850 Persons 139,538 Persons 9
2010s 137,496 Persons 134,245 Persons 139,369 Persons 10
2020s 138,671 Persons 134,479 Persons 141,765 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Potter?
Economy - fuas — employment at place of work in Potter was 141,765 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 Potter?
The highest recorded value was 141,765 Persons in 2022.
What is the lowest economy - fuas — employment at place of work recorded in Potter?
The lowest recorded value was 128,850 Persons in 2001.
How does Potter rank for economy - fuas — employment at place of work?
Potter ranks 409th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Potter?
Over the last ten years it is up 3.4%. The long-run trend across the full record is flat.
Where does this Potter 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 Potter. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 01 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/potter/

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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