Categories in Vialas
Industries
Business Distribution by Industry in Vialas
| Industry Description | Number of Establishments |
|---|---|
| Other accommodation | 12 |
| Restaurants | 5 |
Vialas Facts
| Area | 49.3 km² |
| Population | 418 |
| Male Population | 210 (50.3%) |
| Female Population | 208 (49.7%) |
| Population change (1975 to 2020) | -1.2% |
| Population change (2000 to 2020) | -5.4% |
| Median Age | 56.7 years (Male: 57.8, Female: 55.3) |
| GDP per capita (PPP) | $33,579 (2022) |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 44.33354, 3.89729 |
Map of Vialas
Interactive Map
Vialas Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 423 | 437 | 442 | 439 | 418 | 402 | 377 |
| Population Density | 8.6 / km² | 8.9 / km² | 9 / km² | 8.9 / km² | 8.5 / km² | 8.2 / km² | 7.6 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridVialas Population change from 2000 to 2020
Decrease of 5.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Vialas | -1.2% | -4.3% | -5.4% |
| France | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Vialas Median Age
Median Age: 56.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Vialas | 56.7 yrs | 55.3 yrs | 57.8 yrs |
| France | 39.6 yrs | 41 yrs | 38.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Vialas Population Density
Population Density: 8.5 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Vialas | 418 | 49.3 km² | 8.5 / 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
Vialas 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
Vialas Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $23,206 | $24,128 | $27,252 | $30,898 | $29,467 | $31,287 | $30,998 | $33,579 |
| Total GDP | $1.8M | $1.9M | $2.1M | $2.6M | $2.6M | $2.9M | $2.9M | $3.2M |
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
Vialas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Vialas | 3,043 tn | 7.28 tn | 61.7 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
Vialas CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 3,043 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.28 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 61.7 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (10) |
| Earthquake | Low (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 |
|---|---|---|---|---|---|---|
| 8/3/11 | 1:36 AM | 4.3 | 40.2 km | 4,000 m | France | usgs.gov |
| 11/4/08 | 8:56 PM | 3 | 91.6 km | 3,000 m | France | usgs.gov |
| 8/8/06 | 5:18 AM | 3 | 86.6 km | 2,000 m | near the south coast of France | usgs.gov |
| 12/13/05 | 3:37 PM | 3.1 | 71.6 km | 5,000 m | France | usgs.gov |
| 10/31/05 | 10:14 AM | 3.2 | 66.7 km | 2,000 m | France | usgs.gov |
| 7/7/05 | 8:19 AM | 3 | 76.4 km | 5,000 m | France | usgs.gov |
| 4/6/03 | 1:28 AM | 3.1 | 78.1 km | 3,000 m | near the south coast of France | usgs.gov |
| 5/19/02 | 12:48 AM | 3 | 83.4 km | 4,000 m | France | usgs.gov |
| 2/18/02 | 6:11 AM | 3.7 | 75 km | 6,000 m | France | usgs.gov |
| 5/15/99 | 4:08 AM | 3 | 95.1 km | 8,000 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.