Main mode of transport to work - Cities and FUAs — Employed persons in Flagler-Daytona Beach
Flagler-Daytona Beach: Main mode of transport to work - Cities and FUAs — Employed persons was 40,834 Persons in 2023. ▲ Rising
Main mode of transport to work - Cities and FUAs — Employed persons in Flagler-Daytona Beach, 2011–2023
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
The most recent figure for main mode of transport to work - cities and fuas — employed persons in Flagler-Daytona Beach is 40,834 Persons, measured in 2023. That is the highest value across all 13 years on record.
Compared with earlier readings it is up 1.0% on the previous year and up 29.0% over ten years.
Over the whole period, main mode of transport to work - cities and fuas — employed persons in Flagler-Daytona Beach peaked at 40,834 Persons in 2023 and was at its lowest, 31,654 Persons, in 2013.
Flagler-Daytona Beach ranks 248th of 286 regions on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 13 years of available data.
Main mode of transport to work - Cities and FUAs — Employed persons in Flagler-Daytona Beach, year by year
| Year | Persons | Change |
|---|---|---|
| 2011 | 32,535 Persons | — |
| 2012 | 32,280 Persons | -0.8% |
| 2013 | 31,654 Persons | -1.9% |
| 2014 | 31,993 Persons | +1.1% |
| 2015 | 33,348 Persons | +4.2% |
| 2016 | 34,523 Persons | +3.5% |
| 2017 | 35,779 Persons | +3.6% |
| 2018 | 37,185 Persons | +3.9% |
| 2019 | 39,310 Persons | +5.7% |
| 2020 | 40,469 Persons | +2.9% |
| 2021 | 40,037 Persons | -1.1% |
| 2022 | 40,422 Persons | +1.0% |
| 2023 | 40,834 Persons | +1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 34,290 Persons | 31,654 Persons | 39,310 Persons | 9 |
| 2020s | 40,440 Persons | 40,037 Persons | 40,834 Persons | 4 |
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)
- 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)
- Dependency ratio - Cities and FUAs 56.9 Percentage of population aged 15-64 years (2024)
- Wind threats - Cities and FUAs — Exposure to wind threats 0 Percentage of area (2023)
- Coastal flooding - Cities and FUAs — Built-up area exposure to 0.0035 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs — Downloading speed 17.3 Percentage of national value (2025)
Frequently asked questions
- What is main mode of transport to work - cities and fuas — employed persons in Flagler-Daytona Beach?
- Main mode of transport to work - cities and fuas — employed persons in Flagler-Daytona Beach was 40,834 Persons in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest main mode of transport to work - cities and fuas — employed persons recorded in Flagler-Daytona Beach?
- The highest recorded value was 40,834 Persons in 2023.
- What is the lowest main mode of transport to work - cities and fuas — employed persons recorded in Flagler-Daytona Beach?
- The lowest recorded value was 31,654 Persons in 2013.
- How does Flagler-Daytona Beach rank for main mode of transport to work - cities and fuas — employed persons?
- Flagler-Daytona Beach ranks 248th out of 286 regions with data for 2023.
- Is main mode of transport to work - cities and fuas — employed persons rising or falling in Flagler-Daytona Beach?
- Over the last ten years it is up 29.0%. 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 Main mode of transport to work - Cities and FUAs — Employed persons commuting to work. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 13 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides an indicator of the main mode of transport to work in Functional Urban Areas (FUAs) and cities. The indicator is defined as the share of people using a given mode to commute to work. Modes of transport include car, scooter, public transport (including company buses), bicycle, walking and other. The indicator excludes employed people working from home. Data sources and methodology The indicator uses data extracted from the Eurostat database for European countries. For non-European countries, data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. A detailed description of the data sources can be found in the annex of Regions and Cities at a Glance 2024. 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 correspondence table between SAUs and FUAs/cities is available in parquet and csv format. 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 (Main mode of transport to work - 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