Labour market - FUAs — Employment in Kumamoto

Kumamoto: Labour market - FUAs — Employment was 559,710 Persons in 2014. ▬ Flat

Latest (2014)
559,710 Persons
Change on year
up 0.7%
Rank
129th
of 577 regions
All-time high
568,620 Persons
in 2001
All-time low
553,230 Persons
in 2009
Years of data
15
2000–2014

Labour market - FUAs — Employment in Kumamoto, 2000–2014

0200.0k400.0k600.0k2000200720142000: 567.0k Persons2001: 568.6k Persons2002: 563.0k Persons2003: 564.6k Persons2004: 567.0k Persons2005: 566.2k Persons2006: 567.8k Persons2007: 561.3k Persons2008: 560.5k Persons2009: 553.2k Persons2010: 554.9k Persons2011: 557.3k Persons2012: 557.3k Persons2013: 555.7k Persons2014: 559.7k Persons

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

Analysis

Kumamoto recorded 559,710 Persons for labour market - fuas — employment in 2014.

The figure is up 0.7% on the previous year and down 1.3% over ten years.

Over the whole period, labour market - fuas — employment in Kumamoto peaked at 568,620 Persons in 2001 and was at its lowest, 553,230 Persons, in 2009.

That places Kumamoto 129th out of 577 regions with data for 2014, putting it in the top quarter.

Averages by decade

DecadeAverage LowestHighest Years
2000s 563,922 Persons 553,230 Persons 568,620 Persons 10
2010s 556,956 Persons 554,850 Persons 559,710 Persons 5

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Frequently asked questions

What is labour market - fuas — employment in Kumamoto?
Labour market - fuas — employment in Kumamoto was 559,710 Persons in 2014, according to Organisation for Economic Co-operation and Development.
What is the highest labour market - fuas — employment recorded in Kumamoto?
The highest recorded value was 568,620 Persons in 2001.
What is the lowest labour market - fuas — employment recorded in Kumamoto?
The lowest recorded value was 553,230 Persons in 2009.
How does Kumamoto rank for labour market - fuas — employment?
Kumamoto ranks 129th out of 577 regions with data for 2014.
Is labour market - fuas — employment rising or falling in Kumamoto?
Over the last ten years it is down 1.3%. The long-run trend across the full record is flat.
Where does this Kumamoto data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Labour market - FUAs — Employment. Statizoid updates them automatically from the source API.

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Labour market - FUAs — Employment in Kumamoto. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 18 August 2026, from https://labour.statizoid.com/stat/labour-market-fuas-employment/kumamoto/

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About this data

Indicator
Labour market - FUAs — Employment
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
580 places, 11,884 data points, 2000–2024
Last refreshed

<p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. 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. employment) 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.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>