Categories in Kamen

Auto Parts StoreBody repairCar Accessories StoreCar Inspection StationCar rentalCar repairCar Repair and MaintenanceCar WashGas StationMotorcycle DealerNew car dealersRV Supply StoreTire ShopUsed car dealersAwning SupplierBuilding Materials SupplierComputer hardware manufacturerDog BreederElectronics WholesalerFarmingFirewood SupplierHandicraftHeating Equipment SupplierIndustrial Equipment SupplierMachines WholesaleMetal Processing CompanyMetalworkingNatural Stone SupplierOffice Supply StoreSolar Energy Equipment SupplierSunblind SupplierTelecommunications Equipment SupplierWholesalersWindow SupplierChildren and baby clothingCleanersClothing storesMen's clothingPlus Size Clothing StoreShoe storesSportswear StoreWomen's clothingMedia CompanyMobile phone storesTelecommunications Service ProviderAmbulancesAssociation or OrganizationCharitiesChild Care AgencyChurches
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Industries

Business Distribution by Industry in Kamen

Kamen Facts

Area7.3 km²
Population21,031
Male Population10,233 (48.7%)
Female Population10,798 (51.3%)
Population change (1975 to 2020)-22.1%
Population change (2000 to 2020)-6.6%
Median Age45.8 years (Male: 44.6, Female: 47)
GDP per capita (PPP)$40,682 (2022)
Area Codes2307
NeighborhoodsHeeren-Werve, Kaiserau, Methler, Alte Colonie, Altenmethlerheide
Local Time
TimezoneCentral European Summer Time
Lat & Lng51.59231, 7.66380
Postal Codes59174

Map of Kamen

Interactive Map

Kamen Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population26,98523,83622,51819,47921,03120,68420,288
Population Density3,690.3 / km²3,259.6 / km²3,079.4 / km²2,663.8 / km²2,876 / km²2,828.6 / km²2,774.4 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kamen Population change from 2000 to 2020

Decrease of 6.6% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Kamen-22.1%-11.8%-6.6%
North Rhine-Westphalia
Germany
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kamen Median Age

Median Age: 45.8 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Kamen45.8 yrs47 yrs44.6 yrs
North Rhine-Westphalia44.4 yrs45.6 yrs43.3 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Kamen Population Density

Population Density: 2,876 / km²

LocationPopulationAreaDensity
Kamen21,0317.3 km²2,876 / km²
North Rhine-Westphalia17.6 million34,118.6 km²516 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kamen 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.

Neighborhoods in Kamen

Percentage of businesses by neighborhood in Kamen

Price Distribution

Business distribution by price for Kamen

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

Kamen Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$25,233$27,037$29,489$32,570$35,887$39,418$39,081$40,682
Total GDP$2.3B$2.6B$2.8B$3B$3.2B$3.4B$3.4B$3.5B
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

Kamen CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Kamen206,917 tn9.84 tn28,296.3 tons/km²
North Rhine-Westphalia176,214,894 tn10.01 tn5,164.8 tons/km²
Germany755,339,039 tn9.36 tn2,108.8 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
Kamen CO2 Emissions
2013 CO2 emissions (tonnes/year)206,917 tn
2013 CO2 emissions (tonnes/year) per capita9.84 tn
2013 CO2 emissions intensity (tonnes/km²/year)28,296.3 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodMedium (7)

* 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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
12/25/081:53 PM3.269 km1,000 mGermanyusgs.gov
12/20/084:48 AM329.8 km10,000 mGermanyusgs.gov
12/10/083:28 AM3.376.6 km10,000 mGermanyusgs.gov
11/22/087:41 AM3.355.9 km1,000 mGermanyusgs.gov
11/12/088:56 PM3.474 km1,000 mGermanyusgs.gov
9/24/081:55 PM375.1 km5,000 mGermanyusgs.gov
9/18/082:33 PM3.275.9 km1,000 mGermanyusgs.gov
7/18/086:12 PM3.482.1 km5,000 mGermanyusgs.gov
5/2/086:54 AM3.175.2 km1,000 mGermanyusgs.gov
4/23/0812:10 PM3.174.7 km1,000 mGermanyusgs.gov

Kamen

Kamen is a town in North Rhine-Westphalia, Germany, in the district Unna.

Kamen Wikipedia Page
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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.