Postal Code 1253 - Buenos Aires
| Area of Postal Code 1253 | 0.131 km² |
| Population | 13,920 |
| Male Population | 6,284 (45.1%) |
| Female Population | 7,636 (54.9%) |
| Population change from 1975 to 2020 | +821.2% |
| Population change from 2000 to 2020 | +741.6% |
| Median Age | 38.2 years |
| Male Median Age | 35.3 years |
| Female Median Age | 40.6 years |
| Area Codes | 11 |
| Associated Cities | Buenos Aires, Boedo |
| Neighborhoods | Boedo, Comuna 5, Centro, Recoleta, Comuna 2, Retiro, Comuna 1, Villa Ortúzar, Comuna 15 |
| Timezone | Brasilia Standard Time |
| Coordinates | -34.63090558574718° / -58.42199958283288° |
| Related Postal Codes | 1243, 1244, 1245, 1246, 1247, 1248, 1250, 1251, 1252, 1255 |
Map of Postal Code 1253 - Buenos Aires
Interactive Map
Postal Code 1253 - Buenos Aires Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 1,511 | 1,550 | 1,654 | 1,746 | 13,920 | 13,389 | 13,232 |
| Population Density | 11,576 / km² | 11,874.8 / km² | 12,671.5 / km² | 13,376.4 / km² | 106,643.2 / km² | 102,575.1 / km² | 101,372.3 / km² |
Postal Code 1253 - Buenos Aires Population change from 2000 to 2020
Increase of 741.6% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 1253 - Buenos Aires | +821.2% | +798.1% | +741.6% |
| Buenos Aires | +22.1% | +4.8% | -1.8% |
| Argentina | — | — | — |
Postal Code 1253 - Buenos Aires Median Age
Median Age: 38.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 1253 - Buenos Aires | 38.2 yrs | 40.6 yrs | 35.3 yrs |
| Buenos Aires | 36.9 yrs | 39 yrs | 34.5 yrs |
| Argentina | 29.8 yrs | 30.9 yrs | 28.7 yrs |
Postal Code 1253 Population Density
Population Density: 106,643 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 1253 | 13,920 | 0.131 km² | 106,643 / km² |
| Buenos Aires | 2.8 million | 203.3 km² | 13,781 / km² |
| Argentina | 43.2 million | 2,779,516.9 km² | 15.5 / km² |
Postal Code 1253 - Buenos Aires Historical and Projected Population
Estimated Population from 1880 to 2100
- 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.
Neighborhoods
Business Distribution by neighborhood in Postal Code 1253 - Buenos Aires
Area Codes
Percentage Area Codes used by businesses in Postal Code 1253 - Buenos Aires
Industries
Business Distribution by Industry in Postal Code 1253 - Buenos Aires
| Industry Description | Number of Establishments |
|---|---|
| All food and beverage | 12 |
| Bars, pubs and taverns | 9 |
| Car parts | 10 |
| Car repair | 20 |
| Education | 21 |
| Electronics stores | 9 |
| Grocery stores and supermarkets | 21 |
| Lawyers legal | 9 |
| Other accommodation | 10 |
| Real estate | 14 |
| Restaurants | 19 |
| Shopping | 41 |
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Postal Code 1253 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 1253 | 76,919 tn | 5.53 tn | 589,284.1 tons/km² |
| Buenos Aires | 12,894,067 tn | 4.6 tn | 63,436.6 tons/km² |
| Argentina | 198,107,945 tn | 4.59 tn | 71.3 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 76,919 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 5.53 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 589,284.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (10) |
Cities
Percentage of businesses by city in Postal Code 1253 - Buenos Aires
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.