Labour market - FUAs — Employment in Taranto
Taranto: Labour market - FUAs — Employment was 121,303 Persons in 2017. ▬ Flat
Labour market - FUAs — Employment in Taranto, 2000–2017
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
Taranto recorded 121,303 Persons for labour market - fuas — employment in 2017.
The figure is down 1.0% on the previous year and down 6.8% over ten years.
Over the whole period, labour market - fuas — employment in Taranto peaked at 131,086 Persons in 2012 and was at its lowest, 115,372 Persons, in 2014.
Taranto ranks 536th of 577 regions on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 125,797 Persons | 119,842 Persons | 130,108 Persons | 10 |
| 2010s | 122,762 Persons | 115,372 Persons | 131,086 Persons | 8 |
More work & labour data for Taranto
- Labour market - FUAs — Labour force 145,876 Persons (2017)
- Economy - FUAs — Employment at place of work 140,940 Persons (2022)
- Employment (thousand persons) by NUTS 3 region 195.4 (2023)
- Nominal Labour productivity by NUTS 3 region 63,400 (2023)
- Employer business demography by NACE Rev. 2 and NUTS 3 region 11,959 (2020)
- Employer business demography by size class and NUTS 3 region 12,178 (2019)
Frequently asked questions
- What is labour market - fuas — employment in Taranto?
- Labour market - fuas — employment in Taranto was 121,303 Persons in 2017, according to Organisation for Economic Co-operation and Development.
- What is the highest labour market - fuas — employment recorded in Taranto?
- The highest recorded value was 131,086 Persons in 2012.
- What is the lowest labour market - fuas — employment recorded in Taranto?
- The lowest recorded value was 115,372 Persons in 2014.
- How does Taranto rank for labour market - fuas — employment?
- Taranto ranks 536th out of 577 regions with data for 2017.
- Is labour market - fuas — employment rising or falling in Taranto?
- Over the last ten years it is down 6.8%. The long-run trend across the full record is flat.
- Where does this Taranto 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
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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>