Labour market - FUAs — Labour force in Ostrava

Ostrava: Labour market - FUAs — Labour force was 361,072 Persons in 2013. ▬ Flat

Latest (2013)
361,072 Persons
Change on year
up 0.6%
Rank
214th
of 579 regions
All-time high
371,956 Persons
in 2005
All-time low
356,528 Persons
in 2011
Years of data
14
2000–2013

Labour market - FUAs — Labour force in Ostrava, 2000–2013

0100.0k200.0k300.0k400.0k2000200620132000: 370.4k Persons2001: 368.5k Persons2002: 370.1k Persons2003: 367.8k Persons2004: 365.8k Persons2005: 372.0k Persons2006: 364.8k Persons2007: 361.6k Persons2008: 367.2k Persons2009: 369.1k Persons2010: 361.8k Persons2011: 356.5k Persons2012: 358.9k Persons2013: 361.1k Persons

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

Analysis

In 2013, labour market - fuas — labour force in Ostrava stood at 361,072 Persons.

That represents a change of up 0.6% on the previous year and down 1.8% over ten years.

Over the whole period, labour market - fuas — labour force in Ostrava peaked at 371,956 Persons in 2005 and was at its lowest, 356,528 Persons, in 2011.

That places Ostrava 214th out of 579 regions with data for 2013, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2000s 367,710 Persons 361,551 Persons 371,956 Persons 10
2010s 359,562 Persons 356,528 Persons 361,790 Persons 4

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Frequently asked questions

What is labour market - fuas — labour force in Ostrava?
Labour market - fuas — labour force in Ostrava was 361,072 Persons in 2013, according to Organisation for Economic Co-operation and Development.
What is the highest labour market - fuas — labour force recorded in Ostrava?
The highest recorded value was 371,956 Persons in 2005.
What is the lowest labour market - fuas — labour force recorded in Ostrava?
The lowest recorded value was 356,528 Persons in 2011.
How does Ostrava rank for labour market - fuas — labour force?
Ostrava ranks 214th out of 579 regions with data for 2013.
Is labour market - fuas — labour force rising or falling in Ostrava?
Over the last ten years it is down 1.8%. The long-run trend across the full record is flat.
Where does this Ostrava 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 Ostrava. 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/ostrava/

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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>