Postal Code 26146 - Mexico
Mexico
| Area of Postal Code 26146 | 16.9 km² |
| Population change from 1975 to 2020 | -75.0% |
| Population change from 2000 to 2020 | -85.7% |
| Timezone | Central Daylight Time |
| Coordinates | 28.630221814711543° / -100.47058675212888° |
| Related Postal Codes | 26126, 26133, 26134, 26135, 26136, 26137, 26140, 26143, 26144, 26145 |
Map of Postal Code 26146 - Mexico
Interactive Map
Postal Code 26146 - Mexico Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 8 | 0 | 14 | 2 | 2 | 2 | 1 |
| Population Density | 0.5 / km² | 0 / km² | 0.8 / km² | 0.1 / km² | 0.1 / km² | 0.1 / km² | 0.1 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 26146 - Mexico Population change from 2000 to 2020
Decrease of 85.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 26146 - Mexico | -75% | — | -85.7% |
| Mexico | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Mexico Population Density
Population Density: 64.5 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Mexico | 126.8 million | 1,965,208 km² | 64.5 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 26146 - Mexico Historical and Projected Population
Estimated Population from 0 to 2030
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
Postal Code 26146 - Mexico Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $34,356 | $35,826 | $36,893 | $56,752 | $49,954 | $68,473 | $47,658 | $56,851 |
| Total GDP | $335.9M | $377.4M | $405.3M | $658M | $635.4M | $896.7M | $598.5M | $707.6M |
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
Mexico CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Mexico | 496,865,013 tn | 3.92 tn | 252.8 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
Mexico CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 496,865,013 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.92 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 252.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 4/3/05 | 7:39 AM | 3.5 | 30.9 km | 5,000 m | Texas-Coahuila border region | 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.