Economy - FUAs — Employment at place of work in Berlin
Berlin: Economy - FUAs — Employment at place of work was 2.73 million Persons in 2022. ▲ Rising
Economy - FUAs — Employment at place of work in Berlin, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
In 2022, economy - fuas — employment at place of work in Berlin stood at 2.73 million Persons. That is the highest value across all 23 years on record.
Compared with earlier readings it is up 3.0% on the previous year and up 20.5% over ten years.
Over the whole period, economy - fuas — employment at place of work in Berlin peaked at 2.73 million Persons in 2022 and was at its lowest, 2.02 million Persons, in 2003.
Berlin ranks 16th of 487 regions on this measure, in the top 10%.
The long-run direction has been consistently rising across the 23 years of available data.
Economy - FUAs — Employment at place of work in Berlin, year by year
| Year | Persons | Change |
|---|---|---|
| 2000 | 2.11 million Persons | — |
| 2001 | 2.08 million Persons | -1.4% |
| 2002 | 2.04 million Persons | -1.7% |
| 2003 | 2.02 million Persons | -1.4% |
| 2004 | 2.03 million Persons | +0.7% |
| 2005 | 2.03 million Persons | +0.0% |
| 2006 | 2.06 million Persons | +1.4% |
| 2007 | 2.11 million Persons | +2.3% |
| 2008 | 2.15 million Persons | +1.9% |
| 2009 | 2.18 million Persons | +1.7% |
| 2010 | 2.20 million Persons | +1.0% |
| 2011 | 2.22 million Persons | +0.8% |
| 2012 | 2.26 million Persons | +1.9% |
| 2013 | 2.30 million Persons | +1.6% |
| 2014 | 2.34 million Persons | +1.5% |
| 2015 | 2.38 million Persons | +1.8% |
| 2016 | 2.44 million Persons | +2.6% |
| 2017 | 2.51 million Persons | +3.0% |
| 2018 | 2.58 million Persons | +2.6% |
| 2019 | 2.63 million Persons | +2.2% |
| 2020 | 2.62 million Persons | -0.3% |
| 2021 | 2.65 million Persons | +1.0% |
| 2022 | 2.73 million Persons | +3.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2.08 million Persons | 2.02 million Persons | 2.18 million Persons | 10 |
| 2010s | 2.39 million Persons | 2.20 million Persons | 2.63 million Persons | 10 |
| 2020s | 2.67 million Persons | 2.62 million Persons | 2.73 million Persons | 3 |
More work & labour data for Berlin
- Employment rates by educational attainment level, country of birth 72.5% (2025)
- Labour force by NUTS 2 region 1,986 Thousand persons (2025)
- Labour force participation rates by educational attainment level 77.7% (2025)
- Labour force participation rates by educational attainment level 77.7% (2025)
- Population in private households by citizenship, labour status and 2,820 Thousand persons (2025)
- Population in private households by country of birth, labour status 2,820 Thousand persons (2025)
- Employed persons by NUTS 2 region 1,856 Thousand persons (2025)
- Employed persons by educational attainment level and NUTS 2 region 1,856 Thousand persons (2025)
- Employed persons by job tenure and NUTS 2 region 1,856 Thousand persons (2025)
- Average actual weekly hours worked in the main job of persons who 34.1 Hour (2025)
Frequently asked questions
- What is economy - fuas — employment at place of work in Berlin?
- Economy - fuas — employment at place of work in Berlin was 2.73 million 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 Berlin?
- The highest recorded value was 2.73 million Persons in 2022.
- What is the lowest economy - fuas — employment at place of work recorded in Berlin?
- The lowest recorded value was 2.02 million Persons in 2003.
- How does Berlin rank for economy - fuas — employment at place of work?
- Berlin ranks 16th out of 487 regions with data for 2022.
- Is economy - fuas — employment at place of work rising or falling in Berlin?
- Over the last ten years it is up 20.5%. The long-run trend across the full record is rising.
- Where does this Berlin 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.
Download this data
CSV · JSON — 23 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
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