Economy - FUAs — Employment at place of work in Gwangju
Gwangju: Economy - FUAs — Employment at place of work was 833,229 Persons in 2023. ▲ Rising
Economy - FUAs — Employment at place of work in Gwangju, 2008–2023
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
The most recent figure for economy - fuas — employment at place of work in Gwangju is 833,229 Persons, measured in 2023. That is the highest value across all 16 years on record.
Compared with earlier readings it is up 1.1% on the previous year and up 7.1% over ten years.
Over the whole period, economy - fuas — employment at place of work in Gwangju peaked at 833,229 Persons in 2023 and was at its lowest, 693,364 Persons, in 2008.
That places Gwangju 77th out of 487 regions with data for 2023, putting it in the top quarter.
The long-run direction has been consistently rising across the 16 years of available data.
Economy - FUAs — Employment at place of work in Gwangju, year by year
| Year | Persons | Change |
|---|---|---|
| 2008 | 693,364 Persons | — |
| 2009 | 717,486 Persons | +3.5% |
| 2010 | 721,680 Persons | +0.6% |
| 2011 | 737,595 Persons | +2.2% |
| 2012 | 750,730 Persons | +1.8% |
| 2013 | 777,980 Persons | +3.6% |
| 2014 | 792,759 Persons | +1.9% |
| 2015 | 801,668 Persons | +1.1% |
| 2016 | 798,231 Persons | -0.4% |
| 2017 | 807,610 Persons | +1.2% |
| 2018 | 813,320 Persons | +0.7% |
| 2019 | 803,560 Persons | -1.2% |
| 2020 | 809,074 Persons | +0.7% |
| 2021 | 812,506 Persons | +0.4% |
| 2022 | 824,362 Persons | +1.5% |
| 2023 | 833,229 Persons | +1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 705,425 Persons | 693,364 Persons | 717,486 Persons | 2 |
| 2010s | 780,513 Persons | 721,680 Persons | 813,320 Persons | 10 |
| 2020s | 819,793 Persons | 809,074 Persons | 833,229 Persons | 4 |
More work & labour data for Gwangju
- Labour market - FUAs — Labour force 861,476 Persons (2024)
- Labour market - FUAs — Employment 835,556 Persons (2024)
Frequently asked questions
- What is economy - fuas — employment at place of work in Gwangju?
- Economy - fuas — employment at place of work in Gwangju was 833,229 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 Gwangju?
- The highest recorded value was 833,229 Persons in 2023.
- What is the lowest economy - fuas — employment at place of work recorded in Gwangju?
- The lowest recorded value was 693,364 Persons in 2008.
- How does Gwangju rank for economy - fuas — employment at place of work?
- Gwangju ranks 77th out of 487 regions with data for 2023.
- Is economy - fuas — employment at place of work rising or falling in Gwangju?
- Over the last ten years it is up 7.1%. The long-run trend across the full record is rising.
- Where does this Gwangju 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.
Download this data
CSV · JSON — 16 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
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