Categories in Sāgar
Auto Parts StoreCar WashGas StationMotorcycle repairGoldsmithHandicraftSeed SupplierWholesalersClothing storesJewelers and watchesMen's clothingShoe storesWomen's clothingMobile phone storesCommunity CenterGovernment OfficeHindu templeMosquesReligionCell phone accessory storeComputer ServiceElectronics StoreMobile Phone Repair ShopConstruction of buildingsHardware storeHome Goods StorePaint StoreCollegeEducationEducational InstitutionEducation CenterGeneral education schoolMake-up ArtistPhotography StudioStadiums and arenasWedding VenueBakeriesBars, pubs and tavernsBreakfast and brunchCafesChicken ShopCoffee ShopFamily RestaurantFast food restaurantsGrocery stores and supermarketsIce Cream ShopIndian restaurantsInternet cafesNon Vegetarian RestaurantRestaurants
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Industries
Business Distribution by Industry in Sāgar
| Industry Description | Number of Establishments |
|---|---|
| Education | 17 |
| Restaurants | 13 |
| Banks | 13 |
| Clothing stores | 13 |
| Shopping | 12 |
| Electronics stores | 8 |
| Jewelers and watches | 8 |
| Travel and transportation | 7 |
| Travel agencies | 7 |
| Hindu temple | 7 |
| Religion | 6 |
| Mosques | 6 |
| Cafes | 5 |
| Repair other | 5 |
| Specialized design | 5 |
Sāgar Facts
| Area | 6.2 km² |
| Population | 27,309 |
| Male Population | 13,537 (49.6%) |
| Female Population | 13,772 (50.4%) |
| Population change (2000 to 2020) | -71.1% |
| Median Age | 28.8 years (Male: 28.5, Female: 29.1) |
| GDP per capita (PPP) | $13,436 (2022) |
| Local Time | |
| Timezone | India Standard Time |
| Lat & Lng | 14.16498, 75.02901 |
Map of Sāgar
Interactive Map
Sāgar Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 0 | 99,142 | 94,624 | 72,822 | 27,309 | 25,957 | 24,767 |
| Population Density | 0 / km² | 16,022.9 / km² | 15,292.8 / km² | 11,769.2 / km² | 4,413.6 / km² | 4,195.1 / km² | 4,002.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridSāgar Population change from 2000 to 2020
Decrease of 71.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Sāgar | — | -72.5% | -71.1% |
| Karnataka | — | — | — |
| India | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Sāgar Median Age
Median Age: 28.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Sāgar | 28.8 yrs | 29.1 yrs | 28.5 yrs |
| Karnataka | 27.3 yrs | 27.7 yrs | 26.9 yrs |
| India | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Sāgar Population Density
Population Density: 4,414 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Sāgar | 27,309 | 6.2 km² | 4,414 / km² |
| Karnataka | 65.4 million | 191,736.8 km² | 341 / 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
Sāgar Historical and Projected Population
Estimated Population from 1975 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.
Price Distribution
Business distribution by price for Sāgar
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
Sāgar Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $1,613 | $1,925 | $2,923 | $3,551 | $4,533 | $7,937 | $10,575 | $13,436 |
| Total GDP | $23.8M | $30.9M | $52.2M | $68.2M | $91.9M | $173.1M | $233.5M | $303.3M |
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
Sāgar CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Sāgar | 44,295 tn | 1.62 tn | 7,158.8 tons/km² |
| Karnataka | 96,165,493 tn | 1.47 tn | 501.5 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
Sāgar CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 44,295 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 1.62 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 7,158.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (4) |
* 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, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
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.