Labour market - FUAs — Labour force in Numazu

Numazu: Labour market - FUAs — Labour force was 310,830 Persons in 2014. ▬ Flat

Latest (2014)
310,830 Persons
Change on year
down 0.1%
Rank
243rd
of 579 regions
All-time high
322,920 Persons
in 2000
All-time low
309,270 Persons
in 2012
Years of data
15
2000–2014

Labour market - FUAs — Labour force in Numazu, 2000–2014

0100.0k200.0k300.0k2000200720142000: 322.9k Persons2001: 320.6k Persons2002: 315.1k Persons2003: 314.7k Persons2004: 313.9k Persons2005: 316.3k Persons2006: 316.7k Persons2007: 318.6k Persons2008: 318.2k Persons2009: 315.5k Persons2010: 313.2k Persons2011: 310.8k Persons2012: 309.3k Persons2013: 311.2k Persons2014: 310.8k Persons

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

Analysis

Numazu recorded 310,830 Persons for labour market - fuas — labour force in 2014.

That represents a change of down 0.1% on the previous year and down 1.0% over ten years.

Over the whole period, labour market - fuas — labour force in Numazu peaked at 322,920 Persons in 2000 and was at its lowest, 309,270 Persons, in 2012.

That places Numazu 243rd out of 579 regions with data for 2014, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2000s 317,265 Persons 313,950 Persons 322,920 Persons 10
2010s 311,064 Persons 309,270 Persons 313,170 Persons 5

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Frequently asked questions

What is labour market - fuas — labour force in Numazu?
Labour market - fuas — labour force in Numazu was 310,830 Persons in 2014, according to Organisation for Economic Co-operation and Development.
What is the highest labour market - fuas — labour force recorded in Numazu?
The highest recorded value was 322,920 Persons in 2000.
What is the lowest labour market - fuas — labour force recorded in Numazu?
The lowest recorded value was 309,270 Persons in 2012.
How does Numazu rank for labour market - fuas — labour force?
Numazu ranks 243rd out of 579 regions with data for 2014.
Is labour market - fuas — labour force rising or falling in Numazu?
Over the last ten years it is down 1.0%. The long-run trend across the full record is flat.
Where does this Numazu data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Labour market - FUAs — Labour force. Statizoid updates them automatically from the source API.

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Labour market - FUAs — Labour force in Numazu. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 August 2026, from https://labour.statizoid.com/stat/labour-market-fuas-labour-force/numazu/

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About this data

Indicator
Labour market - FUAs — Labour force
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
582 places, 11,951 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>