Labour market - FUAs — Employment in Stockholm
Stockholm: Labour market - FUAs — Employment was 1.19 million Persons in 2016. ▲ Rising
Labour market - FUAs — Employment in Stockholm, 2000–2016
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
The most recent figure for labour market - fuas — employment in Stockholm is 1.19 million Persons, measured in 2016. That is the highest value across all 17 years on record.
Compared with earlier readings it is up 2.0% on the previous year and up 21.2% over ten years.
Over the whole period, labour market - fuas — employment in Stockholm peaked at 1.19 million Persons in 2016 and was at its lowest, 932,455 Persons, in 2000.
Stockholm ranks 57th of 572 regions on this measure, in the top 10%.
The long-run direction has been consistently rising across the 17 years of available data.
Labour market - FUAs — Employment in Stockholm, year by year
| Year | Persons | Change |
|---|---|---|
| 2000 | 932,455 Persons | — |
| 2001 | 978,670 Persons | +5.0% |
| 2002 | 965,622 Persons | -1.3% |
| 2003 | 959,945 Persons | -0.6% |
| 2004 | 952,276 Persons | -0.8% |
| 2005 | 968,710 Persons | +1.7% |
| 2006 | 984,546 Persons | +1.6% |
| 2007 | 1.01 million Persons | +2.4% |
| 2008 | 1.04 million Persons | +3.3% |
| 2009 | 1.05 million Persons | +0.7% |
| 2010 | 1.06 million Persons | +1.0% |
| 2011 | 1.09 million Persons | +2.7% |
| 2012 | 1.10 million Persons | +1.3% |
| 2013 | 1.13 million Persons | +2.5% |
| 2014 | 1.15 million Persons | +1.6% |
| 2015 | 1.17 million Persons | +2.0% |
| 2016 | 1.19 million Persons | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 983,908 Persons | 932,455 Persons | 1.05 million Persons | 10 |
| 2010s | 1.13 million Persons | 1.06 million Persons | 1.19 million Persons | 7 |
More work & labour data for Stockholm
- Labour market - FUAs — Labour force 1.27 million Persons (2016)
- Economy - FUAs — Employment at place of work 1.41 million Persons (2023)
- Labour force participation rates by educational attainment level 85.8 (2025)
- Average actual weekly hours worked in the main job of persons who 34.4 (2025)
- Population in private households by citizenship, labour status and 1,833 (2025)
- Population in private households by country of birth, labour status 1,833 (2025)
- Employed persons by NUTS 2 region 1,322 (2025)
- Employment rates by NUTS 2 region 72.1 (2025)
- Employed persons by educational attainment level and NUTS 2 region 1,322 (2025)
- Employed persons by professional status and NUTS 2 region 1,322 (2025)
Frequently asked questions
- What is labour market - fuas — employment in Stockholm?
- Labour market - fuas — employment in Stockholm was 1.19 million Persons in 2016, according to Organisation for Economic Co-operation and Development.
- What is the highest labour market - fuas — employment recorded in Stockholm?
- The highest recorded value was 1.19 million Persons in 2016.
- What is the lowest labour market - fuas — employment recorded in Stockholm?
- The lowest recorded value was 932,455 Persons in 2000.
- How does Stockholm rank for labour market - fuas — employment?
- Stockholm ranks 57th out of 572 regions with data for 2016.
- Is labour market - fuas — employment rising or falling in Stockholm?
- Over the last ten years it is up 21.2%. The long-run trend across the full record is rising.
- Where does this Stockholm data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Labour market - FUAs — Employment. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 17 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate. Data sources and methodology When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) 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. employment) 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, labour market data is available at the county-level (US Bureau of Labor Statistics), 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 (Labour market - 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