Dependency ratio - Cities and FUAs in Utrecht
Utrecht: Dependency ratio - Cities and FUAs was 18.4 Percentage of population aged 15-64 years in 2025. β² Rising
Dependency ratio - Cities and FUAs in Utrecht, 2000β2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
Utrecht recorded 18.4 Percentage of population aged 15-64 years for dependency ratio - cities and fuas in 2025. That is the highest value across all 26 years on record.
That represents a change of up 1.7% on the previous year and up 13.6% over ten years.
Over the whole period, dependency ratio - cities and fuas in Utrecht peaked at 18.4 Percentage of population aged 15-64 years in 2025 and was at its lowest, 14.4 Percentage of population aged 15-64 years, in 2008.
That places Utrecht 1051st out of 1258 regions with data for 2025, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 14.86 Percentage of population aged 15-64 years | 14.4 Percentage of population aged 15-64 years | 15.7 Percentage of population aged 15-64 years | 10 |
| 2010s | 15.94 Percentage of population aged 15-64 years | 14.5 Percentage of population aged 15-64 years | 17.3 Percentage of population aged 15-64 years | 10 |
| 2020s | 17.92 Percentage of population aged 15-64 years | 17.4 Percentage of population aged 15-64 years | 18.4 Percentage of population aged 15-64 years | 6 |
More reference data data for Utrecht
- Cooling and heating degree days - Cities and FUAs β Change in heating -418.54 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,692 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -17.3 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Cooling degree 14.25 Degree days (2025)
- Precipitation - Cities and FUAs β Change in extreme precipitation 0.1601 Days per year (2024)
- Precipitation - Cities and FUAs β Extreme precipitation days 2 Days per year (2024)
- Cooling and heating degree days by NUTS 2 regions - monthly data 369.66 (2025)
- Cooling and heating degree days by NUTS 2 regions - annual data 2,413 (2025)
- 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 51.31 Percentage of built-up area (2022)
Frequently asked questions
- What is dependency ratio - cities and fuas in Utrecht?
- Dependency ratio - cities and fuas in Utrecht was 18.4 Percentage of population aged 15-64 years in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency ratio - cities and fuas recorded in Utrecht?
- The highest recorded value was 18.4 Percentage of population aged 15-64 years in 2025.
- What is the lowest dependency ratio - cities and fuas recorded in Utrecht?
- The lowest recorded value was 14.4 Percentage of population aged 15-64 years in 2008.
- How does Utrecht rank for dependency ratio - cities and fuas?
- Utrecht ranks 1051st out of 1258 regions with data for 2025.
- Is dependency ratio - cities and fuas rising or falling in Utrecht?
- Over the last ten years it is up 13.6%. The long-run trend across the full record is rising.
- Where does this Utrecht 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 26 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>