Economy - FUAs — Employment at place of work in Reading

Reading: Economy - FUAs — Employment at place of work was 171,294 Persons in 2021. ▲ Rising

Latest (2021)
171,294 Persons
Change on year
down 0.8%
Rank
358th
of 487 regions
All-time high
172,594 Persons
in 2020
All-time low
159,057 Persons
in 2005
Years of data
18
2004–2021

Economy - FUAs — Employment at place of work in Reading, 2004–2021

050.0k100.0k150.0k2004201220212004: 159.3k Persons2005: 159.1k Persons2006: 167.7k Persons2007: 167.2k Persons2008: 162.1k Persons2009: 161.7k Persons2010: 159.1k Persons2011: 162.8k Persons2012: 161.8k Persons2013: 165.9k Persons2014: 167.6k Persons2015: 166.2k Persons2016: 167.0k Persons2017: 170.1k Persons2018: 169.6k Persons2019: 171.0k Persons2020: 172.6k Persons2021: 171.3k Persons

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

Analysis

In 2021, economy - fuas — employment at place of work in Reading stood at 171,294 Persons.

That represents a change of down 0.8% on the previous year and up 5.2% over ten years.

Over the whole period, economy - fuas — employment at place of work in Reading peaked at 172,594 Persons in 2020 and was at its lowest, 159,057 Persons, in 2005.

Reading ranks 358th of 487 regions on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 18 years of available data.

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

Annual values for Economy - FUAs — Employment at place of work in Reading, 2004 to 2021.
Year Persons Change
2004 159,273 Persons
2005 159,057 Persons -0.1%
2006 167,684 Persons +5.4%
2007 167,179 Persons -0.3%
2008 162,089 Persons -3.0%
2009 161,728 Persons -0.2%
2010 159,093 Persons -1.6%
2011 162,775 Persons +2.3%
2012 161,800 Persons -0.6%
2013 165,880 Persons +2.5%
2014 167,576 Persons +1.0%
2015 166,168 Persons -0.8%
2016 167,035 Persons +0.5%
2017 170,067 Persons +1.8%
2018 169,634 Persons -0.3%
2019 170,970 Persons +0.8%
2020 172,594 Persons +0.9%
2021 171,294 Persons -0.8%

Averages by decade

DecadeAverage LowestHighest Years
2000s 162,835 Persons 159,057 Persons 167,684 Persons 6
2010s 166,100 Persons 159,093 Persons 170,970 Persons 10
2020s 171,944 Persons 171,294 Persons 172,594 Persons 2

Frequently asked questions

What is economy - fuas — employment at place of work in Reading?
Economy - fuas — employment at place of work in Reading was 171,294 Persons in 2021, according to Organisation for Economic Co-operation and Development.
What is the highest economy - fuas — employment at place of work recorded in Reading?
The highest recorded value was 172,594 Persons in 2020.
What is the lowest economy - fuas — employment at place of work recorded in Reading?
The lowest recorded value was 159,057 Persons in 2005.
How does Reading rank for economy - fuas — employment at place of work?
Reading ranks 358th out of 487 regions with data for 2021.
Is economy - fuas — employment at place of work rising or falling in Reading?
Over the last ten years it is up 5.2%. The long-run trend across the full record is rising.
Where does this Reading 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 Reading. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/reading/

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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