Pin Code 509408 - India
India
| Area of Pin Code 509408 | 316.4 km² |
| Population | 49,390 |
| Male Population | 25,180 (51.0%) |
| Female Population | 24,210 (49.0%) |
| Population change from 1975 to 2015 | +59.6% |
| Population change from 2000 to 2015 | +15.1% |
| Median Age | 25.3 years |
| Male Median Age | 24.7 years |
| Female Median Age | 26 years |
| Timezone | India Standard Time |
| Coordinates | 16.958364756474282° / 78.33017433369454° |
| Related Pin Codes | 509371, 509375, 509376, 509401, 509406, 509407, 509409, 509410, 509411, 509412 |
Map of Pin Code 509408 - India
Interactive Map
Pin Code 509408 - India Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 30,949 | 38,985 | 42,907 | 49,390 | 52,764 |
| Population Density | 97.8 / km² | 123.2 / km² | 135.6 / km² | 156.1 / km² | 166.8 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pin Code 509408 - India Population change from 2000 to 2015
Increase of 15.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Pin Code 509408 - India | +59.6% | +26.7% | +15.1% |
| India | +111.1% | +50.6% | +24.5% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pin Code 509408 - India Median Age
Median Age: 25.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Pin Code 509408 - India | 25.3 yrs | 26 yrs | 24.7 yrs |
| India | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Pin Code 509408 Population Density
Population Density: 156 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Pin Code 509408 | 49,390 | 316.4 km² | 156 / km² |
| India | 1,307 million | 3,083,563.4 km² | 424 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pin Code 509408 - India 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.
Industries
Business Distribution by Industry in Pin Code 509408 - India
| Industry Description | Number of Establishments |
|---|---|
| Education | 11 |
| Hindu temple | 10 |
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
Pin Code 509408 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Pin Code 509408 | 72,335 tn | 1.46 tn | 228.6 tons/km² |
| India | 1,928,568,344 tn | 1.48 tn | 625.4 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
Pin Code 509408 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 72,335 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 1.46 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 228.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (5) |
| Flood | High (8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
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.