Dependency ratio - Cities and FUAs in Bremerhaven
Bremerhaven: Dependency ratio - Cities and FUAs was 34.5 Percentage of population aged 15-64 years in 2025. β¬ Flat
Dependency ratio - Cities and FUAs in Bremerhaven, 2009β2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
Bremerhaven recorded 34.5 Percentage of population aged 15-64 years for dependency ratio - cities and fuas in 2025.
That represents a change of up 0.6% on the previous year and up 0.6% over ten years.
Over the whole period, dependency ratio - cities and fuas in Bremerhaven peaked at 35.1 Percentage of population aged 15-64 years in 2021 and was at its lowest, 33.3 Percentage of population aged 15-64 years, in 2016.
That places Bremerhaven 344th out of 1258 regions with data for 2025, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 33.8 Percentage of population aged 15-64 years | 33.8 Percentage of population aged 15-64 years | 33.8 Percentage of population aged 15-64 years | 1 |
| 2010s | 34.19 Percentage of population aged 15-64 years | 33.3 Percentage of population aged 15-64 years | 34.9 Percentage of population aged 15-64 years | 10 |
| 2020s | 34.75 Percentage of population aged 15-64 years | 34.3 Percentage of population aged 15-64 years | 35.1 Percentage of population aged 15-64 years | 6 |
More reference data data for Bremerhaven
- Cooling and heating degree days - Cities and FUAs β Cooling degree 14.11 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -12.65 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 3,157 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in heating 860.81 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 3.33 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation 1.18 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 75.3 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs β Downloading speed 21.4 Percentage of national value (2025)
- Internet speed - Cities and FUAs β Uploading speed -19.8 Percentage of national value (2025)
Frequently asked questions
- What is dependency ratio - cities and fuas in Bremerhaven?
- Dependency ratio - cities and fuas in Bremerhaven was 34.5 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 Bremerhaven?
- The highest recorded value was 35.1 Percentage of population aged 15-64 years in 2021.
- What is the lowest dependency ratio - cities and fuas recorded in Bremerhaven?
- The lowest recorded value was 33.3 Percentage of population aged 15-64 years in 2016.
- How does Bremerhaven rank for dependency ratio - cities and fuas?
- Bremerhaven ranks 344th out of 1258 regions with data for 2025.
- Is dependency ratio - cities and fuas rising or falling in Bremerhaven?
- Over the last ten years it is up 0.6%. The long-run trend across the full record is flat.
- Where does this Bremerhaven 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
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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>