Categories in Combas
Industries
Business Distribution by Industry in Combas
| Industry Description | Number of Establishments |
|---|---|
| Winery | 10 |
Combas Facts
| Area | 15.9 km² |
| Population | 703 |
| Male Population | 348 (49.5%) |
| Female Population | 355 (50.5%) |
| Population change (1975 to 2020) | +191.7% |
| Population change (2000 to 2020) | +56.9% |
| Median Age | 43.3 years (Male: 43.1, Female: 43.5) |
| GDP per capita (PPP) | $32,705 (2022) |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 43.85396, 4.11034 |
Map of Combas
Interactive Map
Combas Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 241 | 353 | 448 | 641 | 703 | 747 | 787 |
| Population Density | 15.1 / km² | 22.1 / km² | 28.1 / km² | 40.2 / km² | 44.1 / km² | 46.9 / km² | 49.4 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridCombas Population change from 2000 to 2020
Increase of 56.9% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Combas | +191.7% | +99.2% | +56.9% |
| France | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Combas Median Age
Median Age: 43.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Combas | 43.3 yrs | 43.5 yrs | 43.1 yrs |
| France | 39.6 yrs | 41 yrs | 38.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Combas Population Density
Population Density: 44.1 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Combas | 703 | 15.9 km² | 44.1 / 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
Combas 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.
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
Combas Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $25,432 | $26,443 | $29,866 | $30,631 | $30,095 | $30,117 | $30,191 | $32,705 |
| Total GDP | $43.1M | $49.6M | $62.8M | $75M | $85.9M | $98M | $111.4M | $125.7M |
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
Combas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Combas | 5,214 tn | 7.42 tn | 327.2 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
Combas CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 5,214 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.42 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 327.2 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (10) |
| Earthquake | Medium (4) |
* 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 |
|---|---|---|---|---|---|---|
| 8/3/11 | 1:36 AM | 4.3 | 54.6 km | 4,000 m | France | usgs.gov |
| 8/8/06 | 5:18 AM | 3 | 61.9 km | 2,000 m | near the south coast of France | usgs.gov |
| 4/6/03 | 1:28 AM | 3.1 | 46.5 km | 3,000 m | near the south coast of France | usgs.gov |
| 2/18/02 | 6:11 AM | 3.7 | 93.8 km | 6,000 m | France | usgs.gov |
| 5/15/99 | 4:08 AM | 3 | 83.1 km | 8,000 m | near the south coast of France | usgs.gov |
| 11/2/98 | 5:32 PM | 3.1 | 96.7 km | 2,000 m | near the south coast of France | usgs.gov |
| 2/9/98 | 2:16 PM | 3.2 | 73.3 km | 4,000 m | near the south coast of France | usgs.gov |
| 3/25/96 | 4:27 AM | 3.1 | 46.6 km | 10,000 m | near the south coast of France | usgs.gov |
| 5/12/94 | 2:48 AM | 3 | 92 km | 11,900 m | near the south coast of France | usgs.gov |
| 2/13/94 | 4:38 AM | 3 | 50.8 km | 13,200 m | 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.