Economy - FUAs — Employment at place of work in Daegu

Daegu: Economy - FUAs — Employment at place of work was 1.24 million Persons in 2023. ▲ Rising

Latest (2023)
1.24 million Persons
Change on year
up 0.2%
Rank
51st
of 487 regions
All-time high
1.24 million Persons
in 2018
All-time low
1.14 million Persons
in 2008
Years of data
16
2008–2023

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

0250.0k500.0k750.0k1.0M1.2M2008201520232008: 1.1M Persons2009: 1.2M Persons2010: 1.2M Persons2011: 1.2M Persons2012: 1.2M Persons2013: 1.2M Persons2014: 1.2M Persons2015: 1.2M Persons2016: 1.2M Persons2017: 1.2M Persons2018: 1.2M Persons2019: 1.2M Persons2020: 1.2M Persons2021: 1.2M Persons2022: 1.2M Persons2023: 1.2M Persons

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

Analysis

In 2023, economy - fuas — employment at place of work in Daegu stood at 1.24 million Persons.

Compared with earlier readings it is up 0.2% on the previous year and up 3.0% over ten years.

Over the whole period, economy - fuas — employment at place of work in Daegu peaked at 1.24 million Persons in 2018 and was at its lowest, 1.14 million Persons, in 2008.

That places Daegu 51st 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 Daegu, year by year

Annual values for Economy - FUAs — Employment at place of work in Daegu, 2008 to 2023.
Year Persons Change
2008 1.14 million Persons
2009 1.19 million Persons +4.0%
2010 1.17 million Persons -1.6%
2011 1.16 million Persons -0.2%
2012 1.21 million Persons +3.6%
2013 1.20 million Persons -0.5%
2014 1.22 million Persons +1.6%
2015 1.24 million Persons +1.4%
2016 1.24 million Persons +0.3%
2017 1.22 million Persons -1.2%
2018 1.24 million Persons +1.7%
2019 1.22 million Persons -2.0%
2020 1.20 million Persons -1.3%
2021 1.23 million Persons +2.4%
2022 1.23 million Persons +0.1%
2023 1.24 million Persons +0.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 1.16 million Persons 1.14 million Persons 1.19 million Persons 2
2010s 1.21 million Persons 1.16 million Persons 1.24 million Persons 10
2020s 1.23 million Persons 1.20 million Persons 1.24 million Persons 4

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Frequently asked questions

What is economy - fuas — employment at place of work in Daegu?
Economy - fuas — employment at place of work in Daegu was 1.24 million 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 Daegu?
The highest recorded value was 1.24 million Persons in 2018.
What is the lowest economy - fuas — employment at place of work recorded in Daegu?
The lowest recorded value was 1.14 million Persons in 2008.
How does Daegu rank for economy - fuas — employment at place of work?
Daegu ranks 51st out of 487 regions with data for 2023.
Is economy - fuas — employment at place of work rising or falling in Daegu?
Over the last ten years it is up 3.0%. The long-run trend across the full record is rising.
Where does this Daegu 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 Daegu. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/daegu/

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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