Dependency ratio - Cities and FUAs in Red Deer
Red Deer: Dependency ratio - Cities and FUAs was 22.6 Percentage of population aged 15-64 years in 2021. ▲ Rising
Dependency ratio - Cities and FUAs in Red Deer, 2001–2021
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 Red Deer is 22.6 Percentage of population aged 15-64 years, measured in 2021. That is the highest value across all 21 years on record.
The figure is up 10.2% on the previous year and up 62.6% over ten years.
Over the whole period, dependency ratio - cities and fuas in Red Deer peaked at 22.6 Percentage of population aged 15-64 years in 2021 and was at its lowest, 12.9 Percentage of population aged 15-64 years, in 2007.
Red Deer ranks 934th of 1249 regions on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 21 years of available data.
Dependency ratio - Cities and FUAs in Red Deer, year by year
| Year | Percentage of population aged 15-64 years | Change |
|---|---|---|
| 2001 | 13.5 Percentage of population aged 15-64 years | — |
| 2002 | 13.4 Percentage of population aged 15-64 years | -0.7% |
| 2003 | 13.4 Percentage of population aged 15-64 years | +0.0% |
| 2004 | 13.3 Percentage of population aged 15-64 years | -0.7% |
| 2005 | 13.1 Percentage of population aged 15-64 years | -1.5% |
| 2006 | 13 Percentage of population aged 15-64 years | -0.8% |
| 2007 | 12.9 Percentage of population aged 15-64 years | -0.8% |
| 2008 | 13.1 Percentage of population aged 15-64 years | +1.6% |
| 2009 | 13.2 Percentage of population aged 15-64 years | +0.8% |
| 2010 | 13.5 Percentage of population aged 15-64 years | +2.3% |
| 2011 | 13.9 Percentage of population aged 15-64 years | +3.0% |
| 2012 | 14.3 Percentage of population aged 15-64 years | +2.9% |
| 2013 | 14.7 Percentage of population aged 15-64 years | +2.8% |
| 2014 | 15 Percentage of population aged 15-64 years | +2.0% |
| 2015 | 15.6 Percentage of population aged 15-64 years | +4.0% |
| 2016 | 16.7 Percentage of population aged 15-64 years | +7.1% |
| 2017 | 17.6 Percentage of population aged 15-64 years | +5.4% |
| 2018 | 18.5 Percentage of population aged 15-64 years | +5.1% |
| 2019 | 19.4 Percentage of population aged 15-64 years | +4.9% |
| 2020 | 20.5 Percentage of population aged 15-64 years | +5.7% |
| 2021 | 22.6 Percentage of population aged 15-64 years | +10.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 13.21 Percentage of population aged 15-64 years | 12.9 Percentage of population aged 15-64 years | 13.5 Percentage of population aged 15-64 years | 9 |
| 2010s | 15.92 Percentage of population aged 15-64 years | 13.5 Percentage of population aged 15-64 years | 19.4 Percentage of population aged 15-64 years | 10 |
| 2020s | 21.55 Percentage of population aged 15-64 years | 20.5 Percentage of population aged 15-64 years | 22.6 Percentage of population aged 15-64 years | 2 |
More reference data data for Red Deer
- Cooling and heating degree days - Cities and FUAs — Cooling degree 0.5413 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -40.53 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 4,103 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -359.69 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -432.71 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs, annual growth rate -10.23 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -189.2 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs — Cooling degree -99.37 % change on previous year (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 1 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation -1.9 Days per year (2024)
Frequently asked questions
- What is dependency ratio - cities and fuas in Red Deer?
- Dependency ratio - cities and fuas in Red Deer was 22.6 Percentage of population aged 15-64 years in 2021, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency ratio - cities and fuas recorded in Red Deer?
- The highest recorded value was 22.6 Percentage of population aged 15-64 years in 2021.
- What is the lowest dependency ratio - cities and fuas recorded in Red Deer?
- The lowest recorded value was 12.9 Percentage of population aged 15-64 years in 2007.
- How does Red Deer rank for dependency ratio - cities and fuas?
- Red Deer ranks 934th out of 1249 regions with data for 2021.
- Is dependency ratio - cities and fuas rising or falling in Red Deer?
- Over the last ten years it is up 62.6%. The long-run trend across the full record is rising.
- Where does this Red Deer 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
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About this data
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