Economy - FUAs — Employment at place of work in Pittsburgh

Pittsburgh: Economy - FUAs — Employment at place of work was 703,808 Persons in 2022. ▬ Flat

Latest (2022)
703,808 Persons
Change on year
up 1.1%
Rank
88th
of 487 regions
All-time high
735,041 Persons
in 2019
All-time low
684,363 Persons
in 2010
Years of data
22
2001–2022

Economy - FUAs — Employment at place of work in Pittsburgh, 2001–2022

0200.0k400.0k600.0k800.0k2001201120222001: 711.8k Persons2002: 704.7k Persons2003: 696.4k Persons2004: 696.4k Persons2005: 693.9k Persons2006: 697.6k Persons2007: 706.0k Persons2008: 711.8k Persons2009: 694.8k Persons2010: 684.4k Persons2011: 695.3k Persons2012: 707.3k Persons2013: 707.7k Persons2014: 710.7k Persons2015: 715.7k Persons2016: 716.2k Persons2017: 722.2k Persons2018: 728.3k Persons2019: 735.0k Persons2020: 686.9k Persons2021: 695.9k Persons2022: 703.8k Persons

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

Analysis

The most recent figure for economy - fuas — employment at place of work in Pittsburgh is 703,808 Persons, measured in 2022.

The figure is up 1.1% on the previous year and down 0.5% over ten years.

Over the whole period, economy - fuas — employment at place of work in Pittsburgh peaked at 735,041 Persons in 2019 and was at its lowest, 684,363 Persons, in 2010.

Pittsburgh ranks 88th of 487 regions on this measure, in the top quarter.

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

Annual values for Economy - FUAs — Employment at place of work in Pittsburgh, 2001 to 2022.
Year Persons Change
2001 711,825 Persons
2002 704,733 Persons -1.0%
2003 696,397 Persons -1.2%
2004 696,428 Persons +0.0%
2005 693,943 Persons -0.4%
2006 697,614 Persons +0.5%
2007 705,996 Persons +1.2%
2008 711,797 Persons +0.8%
2009 694,799 Persons -2.4%
2010 684,363 Persons -1.5%
2011 695,302 Persons +1.6%
2012 707,300 Persons +1.7%
2013 707,739 Persons +0.1%
2014 710,730 Persons +0.4%
2015 715,652 Persons +0.7%
2016 716,158 Persons +0.1%
2017 722,209 Persons +0.8%
2018 728,333 Persons +0.8%
2019 735,041 Persons +0.9%
2020 686,934 Persons -6.5%
2021 695,943 Persons +1.3%
2022 703,808 Persons +1.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 701,504 Persons 693,943 Persons 711,825 Persons 9
2010s 712,283 Persons 684,363 Persons 735,041 Persons 10
2020s 695,562 Persons 686,934 Persons 703,808 Persons 3

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Frequently asked questions

What is economy - fuas — employment at place of work in Pittsburgh?
Economy - fuas — employment at place of work in Pittsburgh was 703,808 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 Pittsburgh?
The highest recorded value was 735,041 Persons in 2019.
What is the lowest economy - fuas — employment at place of work recorded in Pittsburgh?
The lowest recorded value was 684,363 Persons in 2010.
How does Pittsburgh rank for economy - fuas — employment at place of work?
Pittsburgh ranks 88th out of 487 regions with data for 2022.
Is economy - fuas — employment at place of work rising or falling in Pittsburgh?
Over the last ten years it is down 0.5%. The long-run trend across the full record is flat.
Where does this Pittsburgh 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 Pittsburgh. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 02 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/pittsburgh/

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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