Industries
Business Distribution by Industry in Octon
| Industry Description | Number of Establishments |
|---|---|
| Other accommodation | 13 |
| Grocery stores and supermarkets | 7 |
| Restaurants | 6 |
Octon Facts
| Area | 21.7 km² |
| Population | 476 |
| Male Population | 245 (51.5%) |
| Female Population | 231 (48.5%) |
| Population change (1975 to 2020) | +47.8% |
| Population change (2000 to 2020) | +17.0% |
| Median Age | 46.3 years (Male: 45, Female: 47.8) |
| GDP per capita (PPP) | $39,059 (2022) |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 43.65257, 3.30500 |
Map of Octon
Interactive Map
Octon Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 322 | 374 | 407 | 461 | 476 | 474 | 477 |
| Population Density | 14.8 / km² | 17.2 / km² | 18.8 / km² | 21.3 / km² | 21.9 / km² | 21.9 / km² | 22 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridOcton Population change from 2000 to 2020
Increase of 17% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Octon | +47.8% | +27.3% | +17% |
| France | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Octon Median Age
Median Age: 46.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Octon | 46.3 yrs | 47.8 yrs | 45 yrs |
| France | 39.6 yrs | 41 yrs | 38.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Octon Population Density
Population Density: 21.9 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Octon | 476 | 21.7 km² | 21.9 / km² |
| France | 65.9 million | 638,022.5 km² | 103 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Octon Historical and Projected Population
Estimated Population from 0 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Area Codes
Percentage Area Codes used by businesses in Octon
Price Distribution
Business distribution by price for Octon
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Octon Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $28,488 | $29,620 | $33,454 | $35,715 | $38,107 | $36,832 | $36,057 | $39,059 |
| Total GDP | $204.9M | $217.3M | $251.1M | $278.2M | $307.7M | $301.7M | $297.3M | $320.2M |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Octon CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Octon | 3,617 tn | 7.6 tn | 166.8 tons/km² |
| France | 485,797,691 tn | 7.38 tn | 761.4 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Octon CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 3,617 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.6 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 166.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
| Earthquake | Low (2.2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 5/19/02 | 12:48 AM | 3 | 95.1 km | 4,000 m | France | usgs.gov |
| 2/18/02 | 6:11 AM | 3.7 | 58 km | 6,000 m | France | usgs.gov |
| 5/15/99 | 4:08 AM | 3 | 17.4 km | 8,000 m | near the south coast of France | usgs.gov |
| 9/4/97 | 6:02 PM | 3 | 81.3 km | 10,000 m | France | usgs.gov |
| 3/29/96 | 11:45 AM | 3.9 | 81.3 km | 10,000 m | Pyrenees | usgs.gov |
| 3/22/96 | 3:09 PM | 3 | 90.6 km | 10,000 m | Pyrenees | usgs.gov |
| 10/22/94 | 1:01 AM | 3.2 | 63 km | 10,000 m | near the south coast of France | usgs.gov |
| 5/25/94 | 3:35 AM | 3.7 | 63.6 km | 10,100 m | France | usgs.gov |
| 7/28/93 | 8:24 PM | 3 | 87.2 km | 10,000 m | France | usgs.gov |
| 1/1/93 | 9:00 PM | 3.6 | 98.2 km | 10,000 m | near the south coast of France | usgs.gov |
Source: U.S. Geological Survey (USGS)
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.