Dependency ratio - Cities and FUAs in Grosseto
Grosseto: Dependency ratio - Cities and FUAs was 42.2 Percentage of population aged 15-64 years in 2024. β² Rising
Dependency ratio - Cities and FUAs in Grosseto, 2002β2024
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
Grosseto recorded 42.2 Percentage of population aged 15-64 years for dependency ratio - cities and fuas in 2024. That is the highest value across all 23 years on record.
The figure is up 1.2% on the previous year and up 13.4% over ten years.
Over the whole period, dependency ratio - cities and fuas in Grosseto peaked at 42.2 Percentage of population aged 15-64 years in 2024 and was at its lowest, 31.4 Percentage of population aged 15-64 years, in 2002.
That places Grosseto 130th out of 1258 regions with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 23 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 33.39 Percentage of population aged 15-64 years | 31.4 Percentage of population aged 15-64 years | 34.2 Percentage of population aged 15-64 years | 8 |
| 2010s | 37.24 Percentage of population aged 15-64 years | 34.2 Percentage of population aged 15-64 years | 39.6 Percentage of population aged 15-64 years | 10 |
| 2020s | 41.12 Percentage of population aged 15-64 years | 40.1 Percentage of population aged 15-64 years | 42.2 Percentage of population aged 15-64 years | 5 |
More reference data data for Grosseto
- Cooling and heating degree days - Cities and FUAs β Change in heating -320.41 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 716.81 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling 139.9 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Cooling degree 375.91 Degree days (2025)
- Precipitation - Cities and FUAs β Change in extreme precipitation 0.959 Days per year (2024)
- Precipitation - Cities and FUAs β Extreme precipitation days 8.54 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 - monthly data 243.8 (2025)
- Cooling and heating degree days by NUTS 2 regions - annual data 1,220 (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 Grosseto?
- Dependency ratio - cities and fuas in Grosseto was 42.2 Percentage of population aged 15-64 years in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency ratio - cities and fuas recorded in Grosseto?
- The highest recorded value was 42.2 Percentage of population aged 15-64 years in 2024.
- What is the lowest dependency ratio - cities and fuas recorded in Grosseto?
- The lowest recorded value was 31.4 Percentage of population aged 15-64 years in 2002.
- How does Grosseto rank for dependency ratio - cities and fuas?
- Grosseto ranks 130th out of 1258 regions with data for 2024.
- Is dependency ratio - cities and fuas rising or falling in Grosseto?
- Over the last ten years it is up 13.4%. The long-run trend across the full record is rising.
- Where does this Grosseto 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 23 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>