Categories in Vāda

Auto Parts StoreBattery StoreCar repairCar Repair and MaintenanceCar WashGas StationMotorcycle DealerMotorcycle Parts StoreMotorcycle repairMotorcycle ShopNew car dealersOil Change ServiceTire ShopTractor Repair ShopAgricultural ProductionBuilding Materials SupplierCement SupplierChemical PlantCrushed Stone SupplierDiesel Fuel SupplierFactory Equipment SupplierFarmingFuel supplierFurniture ManufacturerLighting ManufacturerManufacture of plastic, chemical and petroleum productsMetal FabricatorMetal Industry SuppliersOrganic FarmPoultry FarmRice MillStainless Steel PlantTractor DealerWater filter supplierWholesalersClothing storesJewelers and watchesMen's clothingShoe storesWomen's clothingInternet Service ProviderMobile phone storesTelecommunications Service ProviderAshramChurchesCommunity CenterCompany RegistryDistribution ServiceGas CompanyGovernment Office
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Industries

Business Distribution by Industry in Vāda

Vāda Facts

Area3.1 km²
Population835
Male Population417 (50.0%)
Female Population418 (50.0%)
Median Age27.1 years (Male: 27.1, Female: 27)
GDP per capita (PPP)$9,304 (2022)
NeighborhoodsNr.HP Petrol Pump
Local Time
TimezoneIndia Standard Time
Lat & Lng19.65347, 73.14811
Pin Codes421303

Map of Vāda

Interactive Map

Vāda Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population0000835894942
Population Density0 / km²0 / km²0 / km²0 / km²267.2 / km²286.1 / km²301.4 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Vāda Median Age

Median Age: 27.1 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Vāda27.1 yrs27 yrs27.1 yrs
Maharashtra27.2 yrs27.8 yrs26.6 yrs
India24.9 yrs25.4 yrs24.5 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Vāda Population Density

Population Density: 267 / km²

LocationPopulationAreaDensity
Vāda8353.125 km²267 / km²
Maharashtra120.6 million307,683.7 km²392 / km²
India1,307 million3,083,563.4 km²424 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Vāda Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  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.

Pin Codes

Percentage of businesses by Postal Codes in Vāda

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

Vāda Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$3,782$3,861$3,383$4,646$6,774$7,135$7,865$9,304
Total GDP$370.1M$423.5M$420.1M$673.1M$1.1B$1.3B$1.5B$1.8B
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

Vāda CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Vāda2,305 tn2.76 tn737.7 tons/km²
Maharashtra206,036,744 tn1.71 tn669.6 tons/km²
India1,928,568,344 tn1.48 tn625.4 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
Vāda CO2 Emissions
2013 CO2 emissions (tonnes/year)2,305 tn
2013 CO2 emissions (tonnes/year) per capita2.76 tn
2013 CO2 emissions intensity (tonnes/km²/year)737.7 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (7)
FloodHigh (8)
EarthquakeLow (2)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. 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.
  2. 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.
  3. 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.
  4. 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

DateTimeMagnitudeDistanceDepthLocationLink
7/24/197:33 PM486 km15,150 m42km WSW of Shirgaon, Indiausgs.gov
3/1/195:44 AM469.6 km10,000 m13km WSW of Amli, Indiausgs.gov
9/14/839:53 PM4.564.3 km33,000 mMaharashtra, Indiausgs.gov

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.