Main mode of transport to work - Cities and FUAs — Employed persons in San Diego
San Diego: Main mode of transport to work - Cities and FUAs — Employed persons was 1.35 million Persons in 2023. ▲ Rising
Main mode of transport to work - Cities and FUAs — Employed persons in San Diego, 2011–2023
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
In 2023, main mode of transport to work - cities and fuas — employed persons in San Diego stood at 1.35 million Persons.
That represents a change of down 2.1% on the previous year and up 0.6% over ten years.
Over the whole period, main mode of transport to work - cities and fuas — employed persons in San Diego peaked at 1.51 million Persons in 2019 and was at its lowest, 1.34 million Persons, in 2011.
That places San Diego 15th out of 286 regions with data for 2023, putting it in the top 10%.
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 San Diego, year by year
| Year | Persons | Change |
|---|---|---|
| 2011 | 1.34 million Persons | — |
| 2012 | 1.34 million Persons | +0.3% |
| 2013 | 1.34 million Persons | +0.2% |
| 2014 | 1.37 million Persons | +1.8% |
| 2015 | 1.40 million Persons | +2.5% |
| 2016 | 1.43 million Persons | +1.9% |
| 2017 | 1.46 million Persons | +2.5% |
| 2018 | 1.49 million Persons | +1.8% |
| 2019 | 1.51 million Persons | +1.5% |
| 2020 | 1.47 million Persons | -2.7% |
| 2021 | 1.42 million Persons | -3.8% |
| 2022 | 1.38 million Persons | -2.5% |
| 2023 | 1.35 million Persons | -2.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.41 million Persons | 1.34 million Persons | 1.51 million Persons | 9 |
| 2020s | 1.41 million Persons | 1.35 million Persons | 1.47 million Persons | 4 |
More reference data data for San Diego
- Cooling and heating degree days - Cities and FUAs — Cooling degree 366.94 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -181.07 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 457.47 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -264.07 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 2.95 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation -0.7837 Days per year (2024)
- Dependency ratio - Cities and FUAs 24.4 Percentage of population aged 15-64 years (2024)
- Wind threats - Cities and FUAs — Exposure to wind threats 11.76 Percentage of area (2023)
- Coastal flooding - Cities and FUAs — Built-up area exposure to 0.0125 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs — Downloading speed -4.5 Percentage of national value (2025)
Frequently asked questions
- What is main mode of transport to work - cities and fuas — employed persons in San Diego?
- Main mode of transport to work - cities and fuas — employed persons in San Diego was 1.35 million 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 San Diego?
- The highest recorded value was 1.51 million Persons in 2019.
- What is the lowest main mode of transport to work - cities and fuas — employed persons recorded in San Diego?
- The lowest recorded value was 1.34 million Persons in 2011.
- How does San Diego rank for main mode of transport to work - cities and fuas — employed persons?
- San Diego ranks 15th out of 286 regions with data for 2023.
- Is main mode of transport to work - cities and fuas — employed persons rising or falling in San Diego?
- Over the last ten years it is up 0.6%. The long-run trend across the full record is rising.
- Where does this San Diego 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