Dependency ratio - Cities and FUAs in Flagler-Daytona Beach
Flagler-Daytona Beach: Dependency ratio - Cities and FUAs was 56.9 Percentage of population aged 15-64 years in 2024. ▲ Rising
Dependency ratio - Cities and FUAs in Flagler-Daytona Beach, 2000–2024
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
Flagler-Daytona Beach recorded 56.9 Percentage of population aged 15-64 years for dependency ratio - cities and fuas in 2024.
That represents a change of up 0.7% on the previous year and up 15.7% over ten years.
Over the whole period, dependency ratio - cities and fuas in Flagler-Daytona Beach peaked at 57.2 Percentage of population aged 15-64 years in 2020 and was at its lowest, 38.1 Percentage of population aged 15-64 years, in 2007.
That places Flagler-Daytona Beach 17th out of 1249 regions with data for 2024, putting it in the top 10%.
The long-run direction has been consistently rising across the 25 years of available data.
Dependency ratio - Cities and FUAs in Flagler-Daytona Beach, year by year
| Year | Percentage of population aged 15-64 years | Change |
|---|---|---|
| 2000 | 50.2 Percentage of population aged 15-64 years | — |
| 2001 | 48.8 Percentage of population aged 15-64 years | -2.8% |
| 2002 | 47.2 Percentage of population aged 15-64 years | -3.3% |
| 2003 | 45.8 Percentage of population aged 15-64 years | -3.0% |
| 2004 | 43.5 Percentage of population aged 15-64 years | -5.0% |
| 2005 | 41 Percentage of population aged 15-64 years | -5.7% |
| 2006 | 39 Percentage of population aged 15-64 years | -4.9% |
| 2007 | 38.1 Percentage of population aged 15-64 years | -2.3% |
| 2008 | 38.7 Percentage of population aged 15-64 years | +1.6% |
| 2009 | 40.2 Percentage of population aged 15-64 years | +3.9% |
| 2010 | 41.5 Percentage of population aged 15-64 years | +3.2% |
| 2011 | 42.9 Percentage of population aged 15-64 years | +3.4% |
| 2012 | 45.6 Percentage of population aged 15-64 years | +6.3% |
| 2013 | 47.4 Percentage of population aged 15-64 years | +3.9% |
| 2014 | 49.2 Percentage of population aged 15-64 years | +3.8% |
| 2015 | 50.9 Percentage of population aged 15-64 years | +3.5% |
| 2016 | 52.2 Percentage of population aged 15-64 years | +2.6% |
| 2017 | 53.5 Percentage of population aged 15-64 years | +2.5% |
| 2018 | 54.9 Percentage of population aged 15-64 years | +2.6% |
| 2019 | 55.9 Percentage of population aged 15-64 years | +1.8% |
| 2020 | 57.2 Percentage of population aged 15-64 years | +2.3% |
| 2021 | 56 Percentage of population aged 15-64 years | -2.1% |
| 2022 | 56 Percentage of population aged 15-64 years | +0.0% |
| 2023 | 56.5 Percentage of population aged 15-64 years | +0.9% |
| 2024 | 56.9 Percentage of population aged 15-64 years | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 43.25 Percentage of population aged 15-64 years | 38.1 Percentage of population aged 15-64 years | 50.2 Percentage of population aged 15-64 years | 10 |
| 2010s | 49.4 Percentage of population aged 15-64 years | 41.5 Percentage of population aged 15-64 years | 55.9 Percentage of population aged 15-64 years | 10 |
| 2020s | 56.52 Percentage of population aged 15-64 years | 56 Percentage of population aged 15-64 years | 57.2 Percentage of population aged 15-64 years | 5 |
More reference data data for Flagler-Daytona Beach
- Cooling and heating degree days - Cities and FUAs — Cooling degree 810.01 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling 6.09 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 148.39 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -40.48 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -6.89 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs, annual growth rate -1.73 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -96.11 % change on previous year (2025)
- Cooling and heating degree days - Cities and FUAs — Cooling degree -15.66 % change on previous year (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 10.65 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation 1.75 Days per year (2024)
Frequently asked questions
- What is dependency ratio - cities and fuas in Flagler-Daytona Beach?
- Dependency ratio - cities and fuas in Flagler-Daytona Beach was 56.9 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 Flagler-Daytona Beach?
- The highest recorded value was 57.2 Percentage of population aged 15-64 years in 2020.
- What is the lowest dependency ratio - cities and fuas recorded in Flagler-Daytona Beach?
- The lowest recorded value was 38.1 Percentage of population aged 15-64 years in 2007.
- How does Flagler-Daytona Beach rank for dependency ratio - cities and fuas?
- Flagler-Daytona Beach ranks 17th out of 1249 regions with data for 2024.
- Is dependency ratio - cities and fuas rising or falling in Flagler-Daytona Beach?
- Over the last ten years it is up 15.7%. The long-run trend across the full record is rising.
- Where does this Flagler-Daytona Beach 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 · JSON — 25 observations, free to reuse under OECD Terms and Conditions (attribution required).
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