Economy - FUAs — Employment at place of work in Radom

Radom: Economy - FUAs — Employment at place of work was 100,188 Persons in 2022. ▬ Flat

Latest (2022)
100,188 Persons
Change on year
up 0.5%
Rank
478th
of 487 regions
All-time high
103,822 Persons
in 2008
All-time low
96,830 Persons
in 2004
Years of data
23
2000–2022

Economy - FUAs — Employment at place of work in Radom, 2000–2022

025.0k50.0k75.0k100.0k2000201120222000: 100.8k Persons2001: 100.3k Persons2002: 99.6k Persons2003: 97.4k Persons2004: 96.8k Persons2005: 97.4k Persons2006: 98.1k Persons2007: 99.9k Persons2008: 103.8k Persons2009: 102.2k Persons2010: 98.7k Persons2011: 99.5k Persons2012: 98.4k Persons2013: 99.7k Persons2014: 102.2k Persons2015: 102.3k Persons2016: 102.4k Persons2017: 103.5k Persons2018: 102.7k Persons2019: 103.5k Persons2020: 98.9k Persons2021: 99.7k Persons2022: 100.2k Persons

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

Analysis

In 2022, economy - fuas — employment at place of work in Radom stood at 100,188 Persons.

The figure is up 0.5% on the previous year and up 1.8% over ten years.

Over the whole period, economy - fuas — employment at place of work in Radom peaked at 103,822 Persons in 2008 and was at its lowest, 96,830 Persons, in 2004.

That places Radom 478th out of 487 regions with data for 2022, putting it in the bottom quarter.

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

Annual values for Economy - FUAs — Employment at place of work in Radom, 2000 to 2022.
Year Persons Change
2000 100,786 Persons
2001 100,326 Persons -0.5%
2002 99,590 Persons -0.7%
2003 97,382 Persons -2.2%
2004 96,830 Persons -0.6%
2005 97,428 Persons +0.6%
2006 98,072 Persons +0.7%
2007 99,912 Persons +1.9%
2008 103,822 Persons +3.9%
2009 102,166 Persons -1.6%
2010 98,670 Persons -3.4%
2011 99,452 Persons +0.8%
2012 98,440 Persons -1.0%
2013 99,728 Persons +1.3%
2014 102,166 Persons +2.4%
2015 102,258 Persons +0.1%
2016 102,442 Persons +0.2%
2017 103,500 Persons +1.0%
2018 102,718 Persons -0.8%
2019 103,454 Persons +0.7%
2020 98,900 Persons -4.4%
2021 99,728 Persons +0.8%
2022 100,188 Persons +0.5%

Averages by decade

DecadeAverage LowestHighest Years
2000s 99,631 Persons 96,830 Persons 103,822 Persons 10
2010s 101,283 Persons 98,440 Persons 103,500 Persons 10
2020s 99,605 Persons 98,900 Persons 100,188 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Radom?
Economy - fuas — employment at place of work in Radom was 100,188 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 Radom?
The highest recorded value was 103,822 Persons in 2008.
What is the lowest economy - fuas — employment at place of work recorded in Radom?
The lowest recorded value was 96,830 Persons in 2004.
How does Radom rank for economy - fuas — employment at place of work?
Radom ranks 478th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Radom?
Over the last ten years it is up 1.8%. The long-run trend across the full record is flat.
Where does this Radom 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 Radom. 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/radom/

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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