Economy - FUAs — Employment at place of work in Milton Keynes

Milton Keynes: Economy - FUAs — Employment at place of work was 168,200 Persons in 2021. ▲ Rising

Latest (2021)
168,200 Persons
Change on year
down 5.1%
Rank
363rd
of 487 regions
All-time high
177,300 Persons
in 2020
All-time low
136,700 Persons
in 2004
Years of data
18
2004–2021

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

050.0k100.0k150.0k200.0k2004201220212004: 136.7k Persons2005: 142.6k Persons2006: 142.0k Persons2007: 152.3k Persons2008: 163.1k Persons2009: 143.2k Persons2010: 150.3k Persons2011: 148.5k Persons2012: 146.8k Persons2013: 149.7k Persons2014: 155.9k Persons2015: 161.2k Persons2016: 165.1k Persons2017: 160.1k Persons2018: 157.9k Persons2019: 163.6k Persons2020: 177.3k Persons2021: 168.2k Persons

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

Analysis

In 2021, economy - fuas — employment at place of work in Milton Keynes stood at 168,200 Persons.

The figure is down 5.1% on the previous year and up 13.3% over ten years.

Over the whole period, economy - fuas — employment at place of work in Milton Keynes peaked at 177,300 Persons in 2020 and was at its lowest, 136,700 Persons, in 2004.

That places Milton Keynes 363rd out of 487 regions with data for 2021, putting it 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 Milton Keynes, year by year

Annual values for Economy - FUAs — Employment at place of work in Milton Keynes, 2004 to 2021.
Year Persons Change
2004 136,700 Persons
2005 142,600 Persons +4.3%
2006 142,000 Persons -0.4%
2007 152,300 Persons +7.3%
2008 163,100 Persons +7.1%
2009 143,200 Persons -12.2%
2010 150,300 Persons +5.0%
2011 148,500 Persons -1.2%
2012 146,800 Persons -1.1%
2013 149,700 Persons +2.0%
2014 155,900 Persons +4.1%
2015 161,200 Persons +3.4%
2016 165,100 Persons +2.4%
2017 160,100 Persons -3.0%
2018 157,900 Persons -1.4%
2019 163,600 Persons +3.6%
2020 177,300 Persons +8.4%
2021 168,200 Persons -5.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 146,650 Persons 136,700 Persons 163,100 Persons 6
2010s 155,910 Persons 146,800 Persons 165,100 Persons 10
2020s 172,750 Persons 168,200 Persons 177,300 Persons 2

Frequently asked questions

What is economy - fuas — employment at place of work in Milton Keynes?
Economy - fuas — employment at place of work in Milton Keynes was 168,200 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 Milton Keynes?
The highest recorded value was 177,300 Persons in 2020.
What is the lowest economy - fuas — employment at place of work recorded in Milton Keynes?
The lowest recorded value was 136,700 Persons in 2004.
How does Milton Keynes rank for economy - fuas — employment at place of work?
Milton Keynes ranks 363rd out of 487 regions with data for 2021.
Is economy - fuas — employment at place of work rising or falling in Milton Keynes?
Over the last ten years it is up 13.3%. The long-run trend across the full record is rising.
Where does this Milton Keynes 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 Milton Keynes. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 03 September 2026, from https://labour.statizoid.com/stat/economy-fuas-employment-at-place-of-work/milton-keynes/

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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