Indian River vs Luxembourg: Dependency ratio - Cities and FUAs
Dependency ratio - Cities and FUAs over time
- Indian River
- Luxembourg
How they compare
Indian River currently reports 69.6 Percentage of population aged 15-64 years against 17.6 Percentage of population aged 15-64 years in Luxembourg, a difference of 52 Percentage of population aged 15-64 years.
That makes Indian River's figure about 4.0 times Luxembourg's.
Across all 7 years both countries report, Indian River has been ahead every year.
Indian River ranks 4th and Luxembourg ranks 2nd of 1258 regions.
Indian River has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Indian River | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 51.6 Percentage of population aged 15-64 years | 21 Percentage of population aged 15-64 years | 30.6 Percentage of population aged 15-64 years | Indian River |
| 2010s | 61.23 Percentage of population aged 15-64 years | 18.2 Percentage of population aged 15-64 years | 43.03 Percentage of population aged 15-64 years | Indian River |
| 2020s | 65.03 Percentage of population aged 15-64 years | 17.77 Percentage of population aged 15-64 years | 47.27 Percentage of population aged 15-64 years | Indian River |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dependency ratio - cities and fuas, Indian River or Luxembourg?
- Indian River, at 69.6 Percentage of population aged 15-64 years against 17.6 Percentage of population aged 15-64 years in Luxembourg as of 2024.
- What is the difference in dependency ratio - cities and fuas between Indian River and Luxembourg?
- 52 Percentage of population aged 15-64 years, with Indian River ahead.
- How many years of comparable data are there for Indian River and Luxembourg?
- 7 years are reported by both, from 2001 to 2022.
- How do Indian River and Luxembourg rank globally for dependency ratio - cities and fuas?
- Indian River ranks 4th and Luxembourg ranks 2nd of 1258 regions.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Dependency ratio - Cities and FUAs. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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>