Dependency ratio - Cities and FUAs in Naju
Naju: Dependency ratio - Cities and FUAs was 37.8 Percentage of population aged 15-64 years in 2023. βΌ Falling
Dependency ratio - Cities and FUAs in Naju, 2011β2023
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
In 2023, dependency ratio - cities and fuas in Naju stood at 37.8 Percentage of population aged 15-64 years.
The figure is up 2.2% on the previous year and down 2.3% over ten years.
Over the whole period, dependency ratio - cities and fuas in Naju peaked at 38.7 Percentage of population aged 15-64 years in 2013 and was at its lowest, 33.2 Percentage of population aged 15-64 years, in 2018.
That places Naju 238th out of 1258 regions with data for 2023, putting it in the top quarter.
The long-run direction has been consistently falling across the 13 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 36 Percentage of population aged 15-64 years | 33.2 Percentage of population aged 15-64 years | 38.7 Percentage of population aged 15-64 years | 9 |
| 2020s | 36.33 Percentage of population aged 15-64 years | 34.8 Percentage of population aged 15-64 years | 37.8 Percentage of population aged 15-64 years | 4 |
More reference data data for Naju
- Cooling and heating degree days - Cities and FUAs β Cooling degree 404.13 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling 124.12 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,693 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in heating -154.41 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 20.21 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation 0.5905 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 0 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs β Downloading speed -12.1 Percentage of national value (2025)
- Internet speed - Cities and FUAs β Uploading speed -16 Percentage of national value (2025)
Frequently asked questions
- What is dependency ratio - cities and fuas in Naju?
- Dependency ratio - cities and fuas in Naju was 37.8 Percentage of population aged 15-64 years in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency ratio - cities and fuas recorded in Naju?
- The highest recorded value was 38.7 Percentage of population aged 15-64 years in 2013.
- What is the lowest dependency ratio - cities and fuas recorded in Naju?
- The lowest recorded value was 33.2 Percentage of population aged 15-64 years in 2018.
- How does Naju rank for dependency ratio - cities and fuas?
- Naju ranks 238th out of 1258 regions with data for 2023.
- Is dependency ratio - cities and fuas rising or falling in Naju?
- Over the last ten years it is down 2.3%. The long-run trend across the full record is falling.
- Where does this Naju 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 13 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>