Economy - FUAs — Employment at place of work in Namur

Namur: Economy - FUAs — Employment at place of work was 102,500 Persons in 2023. ▲ Rising

Latest (2023)
102,500 Persons
Change on year
up 0.8%
Rank
476th
of 487 regions
All-time high
102,500 Persons
in 2023
All-time low
81,975 Persons
in 2003
Years of data
21
2003–2023

Economy - FUAs — Employment at place of work in Namur, 2003–2023

025.0k50.0k75.0k100.0k2003201320232003: 82.0k Persons2004: 83.2k Persons2005: 85.0k Persons2006: 85.6k Persons2007: 86.5k Persons2008: 88.5k Persons2009: 88.9k Persons2010: 91.1k Persons2011: 92.9k Persons2012: 92.8k Persons2013: 92.0k Persons2014: 92.1k Persons2015: 92.6k Persons2016: 94.1k Persons2017: 95.8k Persons2018: 97.5k Persons2019: 98.6k Persons2020: 97.7k Persons2021: 99.5k Persons2022: 101.7k Persons2023: 102.5k 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 Namur is 102,500 Persons, measured in 2023. That is the highest value across all 21 years on record.

That represents a change of up 0.8% on the previous year and up 11.4% over ten years.

Over the whole period, economy - fuas — employment at place of work in Namur peaked at 102,500 Persons in 2023 and was at its lowest, 81,975 Persons, in 2003.

Namur ranks 476th of 487 regions on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 21 years of available data.

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

Annual values for Economy - FUAs — Employment at place of work in Namur, 2003 to 2023.
Year Persons Change
2003 81,975 Persons
2004 83,246 Persons +1.6%
2005 84,972 Persons +2.1%
2006 85,613 Persons +0.8%
2007 86,506 Persons +1.0%
2008 88,512 Persons +2.3%
2009 88,935 Persons +0.5%
2010 91,112 Persons +2.4%
2011 92,883 Persons +1.9%
2012 92,832 Persons -0.1%
2013 91,977 Persons -0.9%
2014 92,060 Persons +0.1%
2015 92,563 Persons +0.5%
2016 94,149 Persons +1.7%
2017 95,845 Persons +1.8%
2018 97,493 Persons +1.7%
2019 98,600 Persons +1.1%
2020 97,665 Persons -0.9%
2021 99,473 Persons +1.9%
2022 101,676 Persons +2.2%
2023 102,500 Persons +0.8%

Averages by decade

DecadeAverage LowestHighest Years
2000s 85,680 Persons 81,975 Persons 88,935 Persons 7
2010s 93,951 Persons 91,112 Persons 98,600 Persons 10
2020s 100,328 Persons 97,665 Persons 102,500 Persons 4

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Frequently asked questions

What is economy - fuas — employment at place of work in Namur?
Economy - fuas — employment at place of work in Namur was 102,500 Persons in 2023, according to Organisation for Economic Co-operation and Development.
What is the highest economy - fuas — employment at place of work recorded in Namur?
The highest recorded value was 102,500 Persons in 2023.
What is the lowest economy - fuas — employment at place of work recorded in Namur?
The lowest recorded value was 81,975 Persons in 2003.
How does Namur rank for economy - fuas — employment at place of work?
Namur ranks 476th out of 487 regions with data for 2023.
Is economy - fuas — employment at place of work rising or falling in Namur?
Over the last ten years it is up 11.4%. The long-run trend across the full record is rising.
Where does this Namur 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 Namur. 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/namur/

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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