Categories in Gangtok
Auto Parts StoreCar Accessories StoreCar rentalCar repairCar Repair and MaintenanceCar WashGas stationGas StationLPG conversionMechanicMotorcycle DealerMotorcycle repairMotorcycle ShopNew car dealersTire ShopUsed car dealersAlcoholic Beverage WholesalerBeauty Product SupplierCement SupplierDiesel Fuel SupplierDigital Printing ServiceFarmingFuel supplierFurniture MakerFurniture ManufacturerGas cylinders supplierHandicraftIndustrial & Construction ManufacturingOptical Products ManufacturerPipes WholesalerSecurity System SupplierStationery WholesalerWholesale GrocerWholesalersBaby Clothing StoreBag ShopBoutiqueClothing storesDesigner Clothing StoreDress StoreDry CleanerFabric StoreFashion Accessories StoreFormal Wear StoreJewelers and watchesLaundry ServiceMen's clothingShoe storesSportswear StoreTuxedo Shop
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Industries
Business Distribution by Industry in Gangtok
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Hotels and motels | 921 | — |
| Other accommodation | 554 | — |
| Restaurants | 445 | — |
| Travel agencies | 384 | 20 years |
| Shopping other | 302 | — |
| Shopping | 292 | — |
| Clothing stores | 236 | — |
| Grocery stores and supermarkets | 233 | — |
| Education | 199 | 36 years |
| Fast food restaurants | 198 | — |
| Public administration | 197 | — |
| Apartments | 155 | — |
| Tour operators | 143 | — |
| Electronics stores | 126 | — |
Gangtok Facts
| Area | 26.1 km² |
| Population | 134,794 |
| Male Population | 72,620 (53.9%) |
| Female Population | 62,174 (46.1%) |
| Population change (1975 to 2020) | +65.7% |
| Population change (2000 to 2020) | -15.8% |
| Median Age | 26.3 years (Male: 27.2, Female: 25.3) |
| GDP per capita (PPP) | $28,683 (2022) |
| Area Codes | 3592 |
| Neighborhoods | Arithang, Vishal Gaon, Sungava, Tadong, Deorali Bazar |
| Local Time | |
| Timezone | India Standard Time |
| Lat & Lng | 27.32574, 88.61216 |
| Pin Codes | 737101, 737102, 737103 |
Map of Gangtok
Interactive Map
Gangtok Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 81,363 | 141,446 | 160,161 | 171,267 | 134,794 | 129,301 | 127,203 |
| Population Density | 3,114.4 / km² | 5,414.2 / km² | 6,130.6 / km² | 6,555.7 / km² | 5,159.6 / km² | 4,949.3 / km² | 4,869 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridGangtok Population change from 2000 to 2020
Decrease of 15.8% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Gangtok | +65.7% | -4.7% | -15.8% |
| Sikkim | — | — | — |
| India | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Gangtok Median Age
Median Age: 26.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Gangtok | 26.3 yrs | 25.3 yrs | 27.2 yrs |
| Sikkim | 25.4 yrs | 24.5 yrs | 26.1 yrs |
| India | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Gangtok Population Density
Population Density: 5,160 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Gangtok | 134,794 | 26.1 km² | 5,160 / km² |
| Sikkim | 627,100 | 7,134.8 km² | 87.9 / 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
Gangtok 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.
Neighborhoods in Gangtok
Percentage of businesses by neighborhood in Gangtok
Area Codes
Percentage Area Codes used by businesses in Gangtok
Pin Codes
Percentage of businesses by Postal Codes in Gangtok
Price Distribution
Business distribution by price for Gangtok
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
Gangtok Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $2,659 | $3,091 | $3,393 | $4,883 | $11,019 | $16,393 | $24,484 | $28,683 |
| Total GDP | $37.8M | $45.1M | $50.2M | $79.3M | $197.9M | $332.6M | $561.2M | $674M |
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
Gangtok CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Gangtok | 331,737 tn | 2.46 tn | 12,698.1 tons/km² |
| Sikkim | 1,190,157 tn | 1.9 tn | 166.8 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
Gangtok CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 331,737 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.46 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 12,698.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (5) |
| Flood | High (9) |
| Earthquake | Medium (7) |
| Landslide | Medium (7) |
* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 1/16/19 | 11:56 PM | 3.8 | 39.7 km | 10,000 m | 27km NW of Samtse, Bhutan | usgs.gov |
| 6/20/18 | 4:15 AM | 4.4 | 81.5 km | 52,910 m | 29km NNW of Ilam, Nepal | usgs.gov |
| 6/17/18 | 3:07 PM | 4.4 | 17.2 km | 49,760 m | 12km SSW of Mangan, India | usgs.gov |
| 12/2/17 | 11:43 PM | 4.2 | 52.8 km | 10,000 m | 24km NW of Naya Bazar, India | usgs.gov |
| 5/16/17 | 10:13 PM | 4.2 | 43.6 km | 10,000 m | 23km NNW of Naya Bazar, India | usgs.gov |
| 3/26/17 | 9:42 PM | 4.5 | 21.2 km | 24,390 m | 5km SSE of Rangpo, India | usgs.gov |
| 3/7/17 | 10:28 AM | 4 | 67.4 km | 10,000 m | 2km NE of Samtse, Bhutan | usgs.gov |
| 3/12/16 | 4:15 PM | 3.9 | 77.4 km | 14,880 m | 9km NW of Birpara, India | usgs.gov |
| 2/13/16 | 9:37 PM | 3.7 | 65.9 km | 50,320 m | 16km NNE of Samtse, Bhutan | usgs.gov |
| 10/10/15 | 1:48 AM | 4.3 | 20.3 km | 48,220 m | 20km ESE of Gangtok, India | usgs.gov |
Source: U.S. Geological Survey (USGS)
Gangtok
Gangtok ( /ˈɡæŋtɒk/ ) is a municipality, the capital and the largest town of the Indian state of Sikkim. It also is the headquarters of the East Sikkim district. Gangtok is located in the eastern Himalayan range, at an elevation of 1,650 m (5,410 ft)..
Gangtok Wikipedia Page
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.