| Primary City | San Ángel |
| Area of Postal Code 01000 | 0.983 km² |
| Population | 3,895 |
| Male Population | 1,644 (42.2%) |
| Female Population | 2,251 (57.8%) |
| Population change from 1975 to 2015 | +55.8% |
| Population change from 2000 to 2015 | +6.5% |
| Median Age | 39.6 years |
| Male Median Age | 38.4 years |
| Female Median Age | 40.5 years |
| Area Codes | 467, 525 |
| Associated Cities | Álvaro Obregón, Mexico City |
| Neighborhoods | San Ángel, San Ángel TNT, San Ángel |
| Local Time | Monday 6:36 PM |
| Timezone | Central Daylight Time |
| Coordinates | 19.346072320322804° / -99.19317122566598° |
| Related Postal Codes | 00000, 01010, 01020, 01029, 01030, 01040 |
Map of Postal Code 01000
Interactive MapPostal Code 01000 Population
Years 1975 to 2015| Data | 1975 | 1990 | 2000 | 2015 |
|---|---|---|---|---|
| Population | 2,500 | 3,293 | 3,656 | 3,895 |
| Population Density | 2,544 / km² | 3,350 / km² | 3,720 / km² | 3,963 / km² |
01000 Population change from 2000 to 2015
Increase of 6.5% from year 2000 to 2015| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 01000 | +55.8% | +18.3% | +6.5% |
| Álvaro Obregón | +49.9% | +15.5% | +4.1% |
| Ciudad de México | +31.2% | +7.2% | -0.1% |
| Mexico | +108.7% | +48.4% | +23.5% |
Postal Code 01000 Median Age
Median Age: 39.6 years| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 01000 | 39.6 years | 40.5 years | 38.4 years |
| Álvaro Obregón | 30.9 years | 32 years | 29.6 years |
| Ciudad de México | 31.4 years | 32.7 years | 30 years |
| Mexico | 26.2 years | 27 years | 25.3 years |
Postal Code 01000 Population Tree
Population By Age and Gender| Age | Male | Female | Total |
|---|---|---|---|
| Under 5 | 77 | 78 | 155 |
| 5-9 | 90 | 102 | 192 |
| 10-14 | 101 | 105 | 207 |
| 15-19 | 119 | 140 | 260 |
| 20-24 | 120 | 203 | 323 |
| 25-29 | 121 | 161 | 283 |
| 30-34 | 113 | 156 | 270 |
| 35-39 | 119 | 165 | 285 |
| 40-44 | 113 | 155 | 269 |
| 45-49 | 114 | 160 | 274 |
| 50-54 | 124 | 173 | 298 |
| 55-59 | 108 | 132 | 240 |
| 60-64 | 98 | 117 | 216 |
| 65-69 | 55 | 108 | 163 |
| 70-74 | 58 | 94 | 152 |
| 75-79 | 46 | 77 | 124 |
| 80-84 | 42 | 61 | 104 |
| 85 Plus | 26 | 64 | 91 |
Postal Code 01000 Population Density
Population Density: 3,963 / km²| Location | Population | Area | Population Density |
|---|---|---|---|
| Postal Code 01000 | 3,895 | 0.983 km² | 3,963 / km² |
| Álvaro Obregón | 767,990 | 69.8 km² | 11,006 / km² |
| Ciudad de México | 9.2 million | 1,494.6 km² | 6,179 / km² |
| Mexico | 126.8 million | 1,965,208 km² | 64.5 / km² |
Postal Code 01000 Historical and Projected Population
Estimated Population from 1850 to 2100Sources:
1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
2. CIESIN (Center for International Earth Science Information Network)
3. [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.
Business Concentration in Postal Code 01000
Industries
Business Distribution by Industry Shopping: 28.5%
Restaurants: 16.8%
Professional Services: 10.2%
Food: 7.6%
Industry: 5.1%
Other: 31.7%
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating | Businesses per 1,000 residents |
|---|---|---|---|---|
| Automotive | 46 | 21.5 years | 3.8 | 11.8 |
| Beauty & Spas | 51 | 4.3 | 13.1 | |
| Community & Government | 51 | 4.2 | 13.1 | |
| Public administration | 28 | 3.8 | 7.2 | |
| Education | 65 | 4.4 | 16.7 | |
| Entertainment | 46 | 4.4 | 11.8 | |
| Financial Services | 87 | 3.5 | 22.3 | |
| Banks | 20 | 3.2 | 5.1 | |
| Food | 169 | 19.6 years | 4.2 | 43.4 |
| Bakeries | 19 | 4.3 | 4.9 | |
| Convenience stores | 15 | 3.9 | 3.9 | |
| Home Services | 87 | 4.3 | 22.3 | |
| General contractors | 18 | 4.0 | 4.6 | |
| Real estate | 39 | 4.4 | 10.0 | |
| Hotels & Travel | 35 | 3.9 | 9.0 | |
| Industry | 84 | 4.2 | 21.6 | |
| Construction of buildings | 37 | 3.9 | 9.5 | |
| Local Services | 28 | 4.0 | 7.2 | |
| Medical | 97 | 3.2 | 24.9 | |
| Dentists | 21 | 2.6 | 5.4 | |
| Health and medical | 33 | 2.8 | 8.5 | |
| Hospitals | 18 | 3.8 | 4.6 | |
| Professional Services | 141 | 4.1 | 36.2 | |
| Business services | 15 | 4.1 | 3.9 | |
| Corporate management | 17 | 4.5 | 4.4 | |
| Lawyers legal | 27 | 4.4 | 6.9 | |
| Religion | 18 | 4.5 | 4.6 | |
| Restaurants | 322 | 22.8 years | 4.3 | 82.7 |
| Mexican restaurants | 33 | 4.5 | 8.5 | |
| Shopping | 891 | 31.1 years | 4.2 | 228.8 |
| Department stores | 18 | 4.3 | 4.6 | |
| Electronics stores | 21 | 3.6 | 5.4 | |
| Furniture stores | 45 | 3.8 | 11.6 | |
| Hardware stores | 41 | 4.2 | 10.5 | |
| Household appliances and goods | 23 | 3.8 | 5.9 | |
| Pharmacies and drug stores | 19 | 3.8 | 4.9 | |
| Shoe stores | 17 | 4.2 | 4.4 | |
| Shopping other | 17 | 4.1 | 4.4 | |
| Sports & Activities | 36 | 4.4 | 9.2 |
Businesses in Postal Code 01000
Business distribution by price for Postal Code 01000
Inexpensive: 46.1%
Moderate: 39.4%
Expensive: 13.5%
Very Expensive: 1%
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.Sources: [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 01000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 01000 | 19,961 t | 5.12 t | 20,312 t/km² |
| Álvaro Obregón | 3,935,858 t | 5.12 t | 56,407 t/km² |
| Ciudad de México | 45,602,268 t | 4.94 t | 30,511 t/km² |
| Mexico | 496,865,013 t | 3.92 t | 252.8 t/km² |
Postal Code 01000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 19,961 t |
| 2013 CO2 emissions (tonnes/year) per capita | 5.12 t |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 20,312 t/km² |
Natural Hazards Risk
Relative risk out of 10| Drought | Medium (4) |
| Flood | High (8) |
| Earthquake | Medium (4) |
* 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 |
|---|---|---|---|---|---|---|
| 7/16/19 | 8:59 PM | 3.1 | 17.4 km | 10,000 m | 2km NW of Ciudad Nezahualcoyotl, Mexico | usgs.gov |
| 7/14/07 | 10:59 PM | 3.5 | 35.9 km | 6,000 m | Estado de Mexico, Mexico | usgs.gov |
| 7/14/07 | 10:57 PM | 3.3 | 36.3 km | 3,400 m | Estado de Mexico, Mexico | usgs.gov |
| 5/30/07 | 1:42 PM | 4 | 17.6 km | 14,900 m | Distrito Federal, Mexico | usgs.gov |
| 1/25/07 | 6:38 AM | 3.7 | 19.5 km | 32,100 m | Distrito Federal, Mexico | usgs.gov |
| 5/5/06 | 8:24 AM | 3.5 | 31.9 km | 1,000 m | Distrito Federal, Mexico | usgs.gov |
| 2/28/06 | 3:58 PM | 3.4 | 9.5 km | 2,000 m | Distrito Federal, Mexico | usgs.gov |
| 10/16/05 | 7:35 AM | 3.2 | 3.1 km | 16,600 m | Distrito Federal, Mexico | usgs.gov |
| 10/16/05 | 7:12 AM | 3.6 | 7.1 km | 13,000 m | Distrito Federal, Mexico | usgs.gov |
| 6/22/05 | 9:01 PM | 3.7 | 28.7 km | 1,400 m | Estado de Mexico, Mexico | usgs.gov |
Find historical earthquake occurrences near Postal Code 01000
Earliest Date Latest Date
Magnitude 3.0 and greater Magnitude 4.0 and greater Magnitude 5.0 and greater
Primary City
San Ángel is a colonia or neighborhood of Mexico City, located in the southwest in Álvaro Óbregon borough. Historically, it was a rural community, called Tenanitla in the pre-Hispanic period. Its current name is derived from the El Carmen monastery s.. San Ángel Wikipedia Page
Cities
Percentage of businesses by city in 01000 Mexico City: 81.1%
Álvaro Obregón, Mexico City: 14.1%
Other: 4.9%
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. See here for more information.
