Economy - FUAs — Employment at place of work in Wonju

Wonju: Economy - FUAs — Employment at place of work was 192,819 Persons in 2023. ▲ Rising

Latest (2023)
192,819 Persons
Change on year
up 1.6%
Rank
312th
of 487 regions
All-time high
192,819 Persons
in 2023
All-time low
154,336 Persons
in 2011
Years of data
16
2008–2023

Economy - FUAs — Employment at place of work in Wonju, 2008–2023

050.0k100.0k150.0k200.0k2008201520232008: 158.4k Persons2009: 158.6k Persons2010: 155.5k Persons2011: 154.3k Persons2012: 165.3k Persons2013: 161.7k Persons2014: 166.1k Persons2015: 170.6k Persons2016: 173.0k Persons2017: 183.4k Persons2018: 183.7k Persons2019: 186.1k Persons2020: 182.9k Persons2021: 188.3k Persons2022: 189.8k Persons2023: 192.8k Persons

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

Analysis

Wonju recorded 192,819 Persons for economy - fuas — employment at place of work in 2023. That is the highest value across all 16 years on record.

That represents a change of up 1.6% on the previous year and up 19.2% over ten years.

Over the whole period, economy - fuas — employment at place of work in Wonju peaked at 192,819 Persons in 2023 and was at its lowest, 154,336 Persons, in 2011.

That places Wonju 312th out of 487 regions with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently rising across the 16 years of available data.

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

Annual values for Economy - FUAs — Employment at place of work in Wonju, 2008 to 2023.
Year Persons Change
2008 158,368 Persons
2009 158,592 Persons +0.1%
2010 155,456 Persons -2.0%
2011 154,336 Persons -0.7%
2012 165,312 Persons +7.1%
2013 161,728 Persons -2.2%
2014 166,141 Persons +2.7%
2015 170,643 Persons +2.7%
2016 173,018 Persons +1.4%
2017 183,434 Persons +6.0%
2018 183,658 Persons +0.1%
2019 186,122 Persons +1.3%
2020 182,918 Persons -1.7%
2021 188,272 Persons +2.9%
2022 189,750 Persons +0.8%
2023 192,819 Persons +1.6%

Averages by decade

DecadeAverage LowestHighest Years
2000s 158,480 Persons 158,368 Persons 158,592 Persons 2
2010s 169,985 Persons 154,336 Persons 186,122 Persons 10
2020s 188,440 Persons 182,918 Persons 192,819 Persons 4

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Frequently asked questions

What is economy - fuas — employment at place of work in Wonju?
Economy - fuas — employment at place of work in Wonju was 192,819 Persons in 2023, according to Organisation for Economic Co-operation and Development.
What is the highest economy - fuas — employment at place of work recorded in Wonju?
The highest recorded value was 192,819 Persons in 2023.
What is the lowest economy - fuas — employment at place of work recorded in Wonju?
The lowest recorded value was 154,336 Persons in 2011.
How does Wonju rank for economy - fuas — employment at place of work?
Wonju ranks 312th out of 487 regions with data for 2023.
Is economy - fuas — employment at place of work rising or falling in Wonju?
Over the last ten years it is up 19.2%. The long-run trend across the full record is rising.
Where does this Wonju 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 Wonju. 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/wonju/

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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