Main mode of transport to work - Cities and FUAs — Employed persons in Boulogne-sur-Mer
Boulogne-sur-Mer: Main mode of transport to work - Cities and FUAs — Employed persons was 25,771 Persons in 2022. ▲ Rising
Main mode of transport to work - Cities and FUAs — Employed persons in Boulogne-sur-Mer, 2017–2022
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
In 2022, main mode of transport to work - cities and fuas — employed persons in Boulogne-sur-Mer stood at 25,771 Persons. That is the highest value across all 6 years on record.
Compared with earlier readings it is up 1.6% on the previous year and up 7.2% over ten years.
Boulogne-sur-Mer ranks 273rd of 286 regions on this measure, in the bottom quarter.
Main mode of transport to work - Cities and FUAs — Employed persons in Boulogne-sur-Mer, year by year
| Year | Persons | Change |
|---|---|---|
| 2017 | 24,038 Persons | — |
| 2018 | 24,511 Persons | +2.0% |
| 2019 | 24,279 Persons | -0.9% |
| 2020 | 24,723 Persons | +1.8% |
| 2021 | 25,360 Persons | +2.6% |
| 2022 | 25,771 Persons | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 24,276 Persons | 24,038 Persons | 24,511 Persons | 3 |
| 2020s | 25,285 Persons | 24,723 Persons | 25,771 Persons | 3 |
More reference data data for Boulogne-sur-Mer
- Cooling and heating degree days - Cities and FUAs — Cooling degree 4.78 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -11.59 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,510 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -365.41 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 5 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation 2.68 Days per year (2024)
- Dependency ratio - Cities and FUAs 33.4 Percentage of population aged 15-64 years (2022)
- Wind threats - Cities and FUAs — Exposure to wind threats 100 Percentage of area (2023)
- Coastal flooding - Cities and FUAs — Built-up area exposure to 0.9549 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs — Downloading speed 17.2 Percentage of national value (2025)
Frequently asked questions
- What is main mode of transport to work - cities and fuas — employed persons in Boulogne-sur-Mer?
- Main mode of transport to work - cities and fuas — employed persons in Boulogne-sur-Mer was 25,771 Persons in 2022, 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 Boulogne-sur-Mer?
- The highest recorded value was 25,771 Persons in 2022.
- What is the lowest main mode of transport to work - cities and fuas — employed persons recorded in Boulogne-sur-Mer?
- The lowest recorded value was 24,038 Persons in 2017.
- How does Boulogne-sur-Mer rank for main mode of transport to work - cities and fuas — employed persons?
- Boulogne-sur-Mer ranks 273rd out of 286 regions with data for 2022.
- Is main mode of transport to work - cities and fuas — employed persons rising or falling in Boulogne-sur-Mer?
- Over the last ten years it is up 7.2%. The long-run trend across the full record is rising.
- Where does this Boulogne-sur-Mer 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 — 6 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