Economy - FUAs — Employment at place of work in Prato

Prato: Economy - FUAs — Employment at place of work was 142,096 Persons in 2022. ▬ Flat

Latest (2022)
142,096 Persons
Change on year
up 2.5%
Rank
406th
of 487 regions
All-time high
146,985 Persons
in 2007
All-time low
124,392 Persons
in 2011
Years of data
23
2000–2022

Economy - FUAs — Employment at place of work in Prato, 2000–2022

050.0k100.0k150.0k2000201120222000: 134.3k Persons2001: 137.5k Persons2002: 138.8k Persons2003: 141.8k Persons2004: 140.3k Persons2005: 138.6k Persons2006: 141.6k Persons2007: 147.0k Persons2008: 137.6k Persons2009: 133.7k Persons2010: 125.7k Persons2011: 124.4k Persons2012: 126.5k Persons2013: 125.9k Persons2014: 126.5k Persons2015: 127.9k Persons2016: 132.5k Persons2017: 137.9k Persons2018: 139.1k Persons2019: 140.9k Persons2020: 136.0k Persons2021: 138.7k Persons2022: 142.1k Persons

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

Analysis

Prato recorded 142,096 Persons for economy - fuas — employment at place of work in 2022.

Compared with earlier readings it is up 2.5% on the previous year and up 12.3% over ten years.

Over the whole period, economy - fuas — employment at place of work in Prato peaked at 146,985 Persons in 2007 and was at its lowest, 124,392 Persons, in 2011.

Prato ranks 406th of 487 regions on this measure, in the bottom quarter.

Economy - FUAs — Employment at place of work in Prato, year by year

Annual values for Economy - FUAs — Employment at place of work in Prato, 2000 to 2022.
Year Persons Change
2000 134,264 Persons
2001 137,455 Persons +2.4%
2002 138,783 Persons +1.0%
2003 141,787 Persons +2.2%
2004 140,258 Persons -1.1%
2005 138,625 Persons -1.2%
2006 141,640 Persons +2.2%
2007 146,985 Persons +3.8%
2008 137,582 Persons -6.4%
2009 133,668 Persons -2.8%
2010 125,687 Persons -6.0%
2011 124,392 Persons -1.0%
2012 126,525 Persons +1.7%
2013 125,859 Persons -0.5%
2014 126,454 Persons +0.5%
2015 127,878 Persons +1.1%
2016 132,478 Persons +3.6%
2017 137,858 Persons +4.1%
2018 139,149 Persons +0.9%
2019 140,911 Persons +1.3%
2020 136,016 Persons -3.5%
2021 138,688 Persons +2.0%
2022 142,096 Persons +2.5%

Averages by decade

DecadeAverage LowestHighest Years
2000s 139,105 Persons 133,668 Persons 146,985 Persons 10
2010s 130,719 Persons 124,392 Persons 140,911 Persons 10
2020s 138,933 Persons 136,016 Persons 142,096 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Prato?
Economy - fuas — employment at place of work in Prato was 142,096 Persons in 2022, according to Organisation for Economic Co-operation and Development.
What is the highest economy - fuas — employment at place of work recorded in Prato?
The highest recorded value was 146,985 Persons in 2007.
What is the lowest economy - fuas — employment at place of work recorded in Prato?
The lowest recorded value was 124,392 Persons in 2011.
How does Prato rank for economy - fuas — employment at place of work?
Prato ranks 406th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Prato?
Over the last ten years it is up 12.3%. The long-run trend across the full record is flat.
Where does this Prato data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Economy - FUAs — Employment at place of work. Statizoid updates them automatically from the source API.

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Economy - FUAs — Employment at place of work in Prato. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 01 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/prato/

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About this data

Indicator
Economy - FUAs — Employment at place of work
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
493 places, 10,805 data points, 2000–2023
Last refreshed

This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity. Data sources and methodology When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data (European Commission, GHSL Data Package 2023). 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. GDP) 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. When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (US Bureau of Economic Analysis), and then aggregated by FUA. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Economy - FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org