Dependency ratio - Cities and FUAs in Zurich
Zurich: Dependency ratio - Cities and FUAs was 22.4 Percentage of population aged 15-64 years in 2023. βΌ Falling
Dependency ratio - Cities and FUAs in Zurich, 2010β2023
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
Zurich recorded 22.4 Percentage of population aged 15-64 years for dependency ratio - cities and fuas in 2023. That is the lowest value across all 14 years on record.
Compared with earlier readings it is down 0.9% on the previous year and down 8.2% over ten years.
Over the whole period, dependency ratio - cities and fuas in Zurich peaked at 24.6 Percentage of population aged 15-64 years in 2010 and was at its lowest, 22.4 Percentage of population aged 15-64 years, in 2023.
That places Zurich 950th out of 1258 regions with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 14 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 23.93 Percentage of population aged 15-64 years | 23 Percentage of population aged 15-64 years | 24.6 Percentage of population aged 15-64 years | 10 |
| 2020s | 22.65 Percentage of population aged 15-64 years | 22.4 Percentage of population aged 15-64 years | 22.8 Percentage of population aged 15-64 years | 4 |
More reference data data for Zurich
- Cooling and heating degree days - Cities and FUAs β Cooling degree 35.69 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -6.24 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 2,185 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in heating -408.23 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 10.83 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation 0.7137 Days per year (2024)
- Wind threats - Cities and FUAs β Exposure to wind threats 0 Percentage of area (2023)
- Coastal flooding - Cities and FUAs β Built-up area exposure to 0 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs β Downloading speed 13 Percentage of national value (2025)
- Internet speed - Cities and FUAs β Uploading speed 27.6 Percentage of national value (2025)
Frequently asked questions
- What is dependency ratio - cities and fuas in Zurich?
- Dependency ratio - cities and fuas in Zurich was 22.4 Percentage of population aged 15-64 years in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency ratio - cities and fuas recorded in Zurich?
- The highest recorded value was 24.6 Percentage of population aged 15-64 years in 2010.
- What is the lowest dependency ratio - cities and fuas recorded in Zurich?
- The lowest recorded value was 22.4 Percentage of population aged 15-64 years in 2023.
- How does Zurich rank for dependency ratio - cities and fuas?
- Zurich ranks 950th out of 1258 regions with data for 2023.
- Is dependency ratio - cities and fuas rising or falling in Zurich?
- Over the last ten years it is down 8.2%. The long-run trend across the full record is falling.
- Where does this Zurich data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Dependency ratio - Cities and FUAs. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 14 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<p align="justify">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> β defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> β including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>),Β <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>