Dependency ratio - Cities and FUAs in Shunan

Shunan: Dependency ratio - Cities and FUAs was 59.2 Percentage of population aged 15-64 years in 2020. ▲ Rising

Latest (2020)
59.2 Percentage of population aged 15-64 years
Rank
13th
of 1249 regions
All-time high
59.2 Percentage of population aged 15-64 years
in 2020
All-time low
14.4 Percentage of population aged 15-64 years
in 1980
Years of data
9
1980–2020

Dependency ratio - Cities and FUAs in Shunan, 1980–2020

1020304050601980200020201980: 14.4 Percentage of population aged 15-64 years1985: 16.6 Percentage of population aged 15-64 years1990: 19.9 Percentage of population aged 15-64 years1995: 24.5 Percentage of population aged 15-64 years2000: 29.7 Percentage of population aged 15-64 years2005: 35.7 Percentage of population aged 15-64 years2010: 42.9 Percentage of population aged 15-64 years2015: 53.1 Percentage of population aged 15-64 years2020: 59.2 Percentage of population aged 15-64 years

Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.

Analysis

The most recent figure for dependency ratio - cities and fuas in Shunan is 59.2 Percentage of population aged 15-64 years, measured in 2020. That is the highest value across all 9 years on record.

The figure is up 38.0% over ten years.

Over the whole period, dependency ratio - cities and fuas in Shunan peaked at 59.2 Percentage of population aged 15-64 years in 2020 and was at its lowest, 14.4 Percentage of population aged 15-64 years, in 1980.

Shunan ranks 13th of 1249 regions on this measure, in the top 10%.

Dependency ratio - Cities and FUAs in Shunan, year by year

Annual values for Dependency ratio - Cities and FUAs in Shunan, 1980 to 2020.
Year Percentage of population aged 15-64 years Change
1980 14.4 Percentage of population aged 15-64 years —
1985 16.6 Percentage of population aged 15-64 years +15.3%
1990 19.9 Percentage of population aged 15-64 years +19.9%
1995 24.5 Percentage of population aged 15-64 years +23.1%
2000 29.7 Percentage of population aged 15-64 years +21.2%
2005 35.7 Percentage of population aged 15-64 years +20.2%
2010 42.9 Percentage of population aged 15-64 years +20.2%
2015 53.1 Percentage of population aged 15-64 years +23.8%
2020 59.2 Percentage of population aged 15-64 years +11.5%

Averages by decade

DecadeAverage LowestHighest Years
1980s 15.5 Percentage of population aged 15-64 years 14.4 Percentage of population aged 15-64 years 16.6 Percentage of population aged 15-64 years 2
1990s 22.2 Percentage of population aged 15-64 years 19.9 Percentage of population aged 15-64 years 24.5 Percentage of population aged 15-64 years 2
2000s 32.7 Percentage of population aged 15-64 years 29.7 Percentage of population aged 15-64 years 35.7 Percentage of population aged 15-64 years 2
2010s 48 Percentage of population aged 15-64 years 42.9 Percentage of population aged 15-64 years 53.1 Percentage of population aged 15-64 years 2
2020s 59.2 Percentage of population aged 15-64 years 59.2 Percentage of population aged 15-64 years 59.2 Percentage of population aged 15-64 years 1

More reference data data for Shunan

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Frequently asked questions

What is dependency ratio - cities and fuas in Shunan?
Dependency ratio - cities and fuas in Shunan was 59.2 Percentage of population aged 15-64 years in 2020, according to Organisation for Economic Co-operation and Development.
What is the highest dependency ratio - cities and fuas recorded in Shunan?
The highest recorded value was 59.2 Percentage of population aged 15-64 years in 2020.
What is the lowest dependency ratio - cities and fuas recorded in Shunan?
The lowest recorded value was 14.4 Percentage of population aged 15-64 years in 1980.
How does Shunan rank for dependency ratio - cities and fuas?
Shunan ranks 13th out of 1249 regions with data for 2020.
Is dependency ratio - cities and fuas rising or falling in Shunan?
Over the last ten years it is up 38.0%. The long-run trend across the full record is rising.
Where does this Shunan 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.

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Dependency ratio - Cities and FUAs in Shunan. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 01 October 2026, from https://reference.statizoid.com/stat/dependency-ratio-cities-and-fuas/shunan/

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About this data

Indicator
Dependency ratio - Cities and FUAs
Unit
Percentage of population aged 15-64 years
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,260 places, 27,881 data points, 1980–2025
Last refreshed

This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities. Data sources and methodology 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 parquet and csv format. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Dependency ratio - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org