Labour market - FUAs — Employment in Metz
Metz: Labour market - FUAs — Employment was 153,971 Persons in 2024. ▬ Flat
Labour market - FUAs — Employment in Metz, 2000–2024
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
The most recent figure for labour market - fuas — employment in Metz is 153,971 Persons, measured in 2024.
Compared with earlier readings it is up 5.4% over ten years.
Over the whole period, labour market - fuas — employment in Metz peaked at 154,961 Persons in 2008 and was at its lowest, 142,573 Persons, in 2000.
Metz ranks 457th of 577 regions on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 150,125 Persons | 142,573 Persons | 154,961 Persons | 10 |
| 2010s | 148,259 Persons | 144,170 Persons | 153,905 Persons | 10 |
| 2020s | 150,274 Persons | 142,963 Persons | 153,971 Persons | 5 |
More work & labour data for Metz
- Labour market - FUAs — Labour force 166,069 Persons (2024)
- Economy - FUAs — Employment at place of work 133,029 Persons (2023)
Frequently asked questions
- What is labour market - fuas — employment in Metz?
- Labour market - fuas — employment in Metz was 153,971 Persons in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest labour market - fuas — employment recorded in Metz?
- The highest recorded value was 154,961 Persons in 2008.
- What is the lowest labour market - fuas — employment recorded in Metz?
- The lowest recorded value was 142,573 Persons in 2000.
- How does Metz rank for labour market - fuas — employment?
- Metz ranks 457th out of 577 regions with data for 2024.
- Is labour market - fuas — employment rising or falling in Metz?
- Over the last ten years it is up 5.4%. The long-run trend across the full record is flat.
- Where does this Metz 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.
Download this data
CSV · JSON — 25 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<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>