Population and built-up density - Cities and FUAs — Urbanised area in Lorient
Lorient: Population and built-up density - Cities and FUAs — Urbanised area was 7 Square kilometres in 2030. ▲ Rising
Population and built-up density - Cities and FUAs — Urbanised area in Lorient, 1975–2030
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
The most recent figure for population and built-up density - cities and fuas — urbanised area in Lorient is 7 Square kilometres, measured in 2030. That is the highest value across all 12 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, population and built-up density - cities and fuas — urbanised area in Lorient peaked at 7 Square kilometres in 2020 and was at its lowest, 5 Square kilometres, in 1975.
Lorient ranks 1046th of 1372 regions on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 12 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 5 Square kilometres | 5 Square kilometres | 5 Square kilometres | 1 |
| 1980s | 5.5 Square kilometres | 5 Square kilometres | 6 Square kilometres | 2 |
| 1990s | 6 Square kilometres | 6 Square kilometres | 6 Square kilometres | 2 |
| 2000s | 6 Square kilometres | 6 Square kilometres | 6 Square kilometres | 2 |
| 2010s | 6 Square kilometres | 6 Square kilometres | 6 Square kilometres | 2 |
| 2020s | 7 Square kilometres | 7 Square kilometres | 7 Square kilometres | 2 |
| 2030s | 7 Square kilometres | 7 Square kilometres | 7 Square kilometres | 1 |
More population data for Lorient
- Heat stress - Cities and FUAs — Mean population exposure to heat 0.3533 Days per year (2025)
- Population by age and sex - Cities and FUAs 81,390 Persons (2022)
- Population by citizenship - Cities and FUAs 7.4 Percentage of population (2022)
- Foreign-born population - Cities and FUAs 8.3 Percentage of population (2022)
Frequently asked questions
- What is population and built-up density - cities and fuas — urbanised area in Lorient?
- Population and built-up density - cities and fuas — urbanised area in Lorient was 7 Square kilometres in 2030, according to Organisation for Economic Co-operation and Development.
- What is the highest population and built-up density - cities and fuas — urbanised area recorded in Lorient?
- The highest recorded value was 7 Square kilometres in 2020.
- What is the lowest population and built-up density - cities and fuas — urbanised area recorded in Lorient?
- The lowest recorded value was 5 Square kilometres in 1975.
- How does Lorient rank for population and built-up density - cities and fuas — urbanised area?
- Lorient ranks 1046th out of 1372 regions with data for 2030.
- Is population and built-up density - cities and fuas — urbanised area rising or falling in Lorient?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Lorient data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Population and built-up density - Cities and FUAs — Urbanised area. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHSL built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. GHSL is used as it provides harmonised, globally consistent coverage at fine spatial resolution (100 m), enabling the production of comparable subnational indicators on built-up areas. </p> <p align="justify"> These estimates may differ from official subnational built-up statistics due to differences in methodologies, such as top down remote-sensing based estimations versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify built up areas. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>