Petit-Failly Facts
| Area | 7.8 km² |
| Population | 76 |
| Male Population | 42 (55.3%) |
| Female Population | 34 (44.7%) |
| Population change (1975 to 2020) | +7.0% |
| Population change (2000 to 2020) | -1.3% |
| Median Age | 39.8 years (Male: 38, Female: 41) |
| GDP per capita (PPP) | $30,080 (2022) |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 49.43333, 5.50000 |
Map of Petit-Failly
Interactive Map
Petit-Failly Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 71 | 76 | 77 | 80 | 76 | 74 | 71 |
| Population Density | 9.1 / km² | 9.7 / km² | 9.9 / km² | 10.2 / km² | 9.7 / km² | 9.5 / km² | 9.1 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPetit-Failly Population change from 2000 to 2020
Decrease of 1.3% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Petit-Failly | +7% | +0% | -1.3% |
| France | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Petit-Failly Median Age
Median Age: 39.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Petit-Failly | 39.8 yrs | 41 yrs | 38 yrs |
| France | 39.6 yrs | 41 yrs | 38.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Petit-Failly Population Density
Population Density: 9.7 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Petit-Failly | 76 | 7.8 km² | 9.7 / 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
Petit-Failly 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
Petit-Failly Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $25,144 | $26,144 | $29,528 | $30,459 | $26,660 | $27,809 | $27,768 | $30,080 |
| Total GDP | $34.2M | $35.6M | $40.6M | $43.7M | $39.9M | $42.4M | $43.1M | $46.5M |
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
Petit-Failly CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Petit-Failly | 579 tn | 7.62 tn | 74.1 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
Petit-Failly CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 579 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.62 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 74.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| 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 |
|---|---|---|---|---|---|---|
| 9/28/08 | 12:02 AM | 3 | 94.4 km | 1,000 m | Germany | usgs.gov |
| 2/13/08 | 1:56 PM | 3.3 | 93 km | 1,000 m | Germany | usgs.gov |
| 2/9/08 | 8:47 PM | 3.5 | 95.3 km | 1,000 m | Germany | usgs.gov |
| 1/26/08 | 4:19 AM | 3.8 | 93.8 km | 1,000 m | Germany | usgs.gov |
| 12/22/07 | 9:07 PM | 3 | 95.6 km | 1,000 m | Germany | usgs.gov |
| 12/14/07 | 11:01 PM | 3.1 | 94.6 km | 1,000 m | Germany | usgs.gov |
| 12/11/07 | 8:29 PM | 3.7 | 94.9 km | 10,000 m | Germany | usgs.gov |
| 11/28/07 | 4:18 PM | 3.2 | 92.4 km | 1,000 m | Germany | usgs.gov |
| 11/26/07 | 5:27 PM | 3.9 | 91.5 km | 1,000 m | Germany | usgs.gov |
| 11/26/07 | 6:22 AM | 3.5 | 89.7 km | 1,000 m | Germany | usgs.gov |
Source: U.S. Geological Survey (USGS)
Petit-Failly
Petit-Failly is a commune in the Meurthe-et-Moselle department in north-eastern France.
Petit-Failly Wikipedia PageAbout 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.


