Categories in Mokama

Auto Parts StoreCar repairGas StationMotorcycle repairMotorcycle ShopCement SupplierDiesel Fuel SupplierFarmingFertilizer SupplierFlour MillFood Products SupplierFuel supplierFurniture MakerGas cylinders supplierPoultry FarmWater filter supplierWholesalersClothing storesFabric StoreJewelers and watchesMen's clothingSaree ShopShoe storesWomen's clothingMobile phone storesTelecommunications Service ProviderBahá'í House of WorshipChurchesCommunity CenterGas CompanyGovernment OfficeHindu templeLocal Government OfficeMosquesNon-Profit OrganizationPost OfficeReligionReligious DestinationVillage HallCamera StoreCell phone accessory storeComputer Accessories StoreComputer Support and ServicesElectronics Repair ShopElectronics StoreMobile Phone Repair ShopSoftware CompanyBuilding Materials StoreConstruction of buildingsConstruction of houses
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Industries

Business Distribution by Industry in Mokama

Mokama Facts

Area131.9 km²
Population93,685
Male Population49,852 (53.2%)
Female Population43,833 (46.8%)
Population change (1975 to 2020)+216.9%
Population change (2000 to 2020)+44.1%
Median Age22.3 years (Male: 22.1, Female: 22.6)
NeighborhoodsMokama, Railway Colony, Mokama
Local Time
TimezoneIndia Standard Time
Lat & Lng25.39662, 85.92190
Pin Codes803301803302803303

Map of Mokama

Interactive Map

Mokama Population

Years 1975 to 2020

Data19751990200020152020
Population29,56250,84965,01188,19293,685
Population Density224.2 / km²385.6 / km²493 / km²668.8 / km²710.4 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Mokama Population change from 2000 to 2015

Increase of 35.7% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Mokama+198.3%+73.4%+35.7%
Bihar+178.3%+77.4%+36.8%
India+111.1%+50.6%+24.5%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Mokama Median Age

Median Age: 22.3 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Mokama22.3 yrs22.6 yrs22.1 yrs
Bihar20.4 yrs20.8 yrs20.1 yrs
India24.9 yrs25.4 yrs24.5 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Mokama Population Density

Population Density: 710 / km²

LocationPopulationAreaDensity
Mokama93,685131.9 km²710 / km²
Bihar115.8 million94,107.8 km²1,230 / km²
India1,307 million3,083,563.4 km²424 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Mokama 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.

Area Codes

Percentage Area Codes used by businesses in Mokama

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

Mokama CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Mokama124,468 tn1.33 tn943.8 tons/km²
Bihar132,083,798 tn1.14 tn1,403.5 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
Mokama CO2 Emissions
2013 CO2 emissions (tonnes/year)124,468 tn
2013 CO2 emissions (tonnes/year) per capita1.33 tn
2013 CO2 emissions intensity (tonnes/km²/year)943.8 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (5)
FloodHigh (10)
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
2/17/8511:06 PM4.893.8 km33,000 mBihar-Jharkhand border region, Indiausgs.gov

Mokama

Mokama is a town and a municipality in Patna district in the Indian state of Bihar. It is located 90 km east of Patna on the southern banks of the river Ganges and is a station on the rail route connecting Kolkata to New Delhi via Patna. It is said t..

Mokama 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.