Dependency ratio - Cities and FUAs in Graz
Graz: Dependency ratio - Cities and FUAs was 25.9 Percentage of population aged 15-64 years in 2025. β¬ Flat
Dependency ratio - Cities and FUAs in Graz, 2002β2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
In 2025, dependency ratio - cities and fuas in Graz stood at 25.9 Percentage of population aged 15-64 years.
Compared with earlier readings it is up 0.8% on the previous year and up 0.8% over ten years.
Over the whole period, dependency ratio - cities and fuas in Graz peaked at 26.7 Percentage of population aged 15-64 years in 2009 and was at its lowest, 24.4 Percentage of population aged 15-64 years, in 2003.
That places Graz 784th 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 | 25.65 Percentage of population aged 15-64 years | 24.4 Percentage of population aged 15-64 years | 26.7 Percentage of population aged 15-64 years | 8 |
| 2010s | 25.7 Percentage of population aged 15-64 years | 25.1 Percentage of population aged 15-64 years | 26.4 Percentage of population aged 15-64 years | 10 |
| 2020s | 25.7 Percentage of population aged 15-64 years | 25.3 Percentage of population aged 15-64 years | 25.9 Percentage of population aged 15-64 years | 6 |
More reference data data for Graz
- Cooling and heating degree days - Cities and FUAs β Change in heating -1,313 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,513 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -26.1 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Cooling degree 27.27 Degree days (2025)
- Precipitation - Cities and FUAs β Change in extreme precipitation 4.83 Days per year (2024)
- Precipitation - Cities and FUAs β Extreme precipitation days 10.17 Days per year (2024)
- Assumptions for probability of dying by age, sex, type of projection 0.0002 (2100)
- Cooling and heating degree days by NUTS 2 regions - annual data 2,883 (2025)
- Cooling and heating degree days by NUTS 2 regions - monthly data 518.86 (2025)
- Wind threats - Cities and FUAs β Exposure to wind threats 0 Percentage of area (2023)
Frequently asked questions
- What is dependency ratio - cities and fuas in Graz?
- Dependency ratio - cities and fuas in Graz was 25.9 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 Graz?
- The highest recorded value was 26.7 Percentage of population aged 15-64 years in 2009.
- What is the lowest dependency ratio - cities and fuas recorded in Graz?
- The lowest recorded value was 24.4 Percentage of population aged 15-64 years in 2003.
- How does Graz rank for dependency ratio - cities and fuas?
- Graz ranks 784th out of 1258 regions with data for 2025.
- Is dependency ratio - cities and fuas rising or falling in Graz?
- Over the last ten years it is up 0.8%. The long-run trend across the full record is flat.
- Where does this Graz 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 24 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>