Categories in Xanten
Auto glassAuto paintingAuto Parts StoreBody repairCar rentalCar repairCar Repair and MaintenanceCar WashGas StationNew car dealersTire ShopUsed car dealersBuilding Materials SupplierDog BreederFarmingHandicraftMetalworkingPlastic Fabrication CompanyStone CutterWholesalersChildren and baby clothingCleanersClothing storesFashion Accessories StoreLeather Goods StoreMen's clothingShoe storesWomen's clothingMobile phone storesTelecommunications Service ProviderAssociation or OrganizationCatholic ChurchChurchesClubCounselorDistribution ServiceFire StationFoster Care ServiceMailing ServicePolitical PartyPost OfficeRecycling drop-off locationRetirement HomeShipping and Mailing ServiceShipping ServiceComputer ConsultantComputer ServiceElectronics StoreSoftware CompanyWeb Hosting Company
Showing 1-50 of 220
…
Industries
Business Distribution by Industry in Xanten
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Corporate management | 125 | 29 years |
| Shopping | 122 | — |
| Restaurants | 110 | — |
| Construction of buildings | 91 | — |
| Other accommodation | 83 | — |
| Health and medical | 77 | — |
| Real estate | 65 | — |
| Other membership organizations | 55 | — |
| Clothing stores | 46 | — |
| Electronics stores | 44 | — |
| Travel agencies | 44 | — |
Xanten Facts
| Area | 4.4 km² |
| Population | 9,934 |
| Male Population | 4,838 (48.7%) |
| Female Population | 5,096 (51.3%) |
| Population change (1975 to 2020) | -17.9% |
| Population change (2000 to 2020) | -5.4% |
| Median Age | 46.2 years (Male: 45.3, Female: 47.1) |
| GDP per capita (PPP) | $42,364 (2022) |
| Area Codes | 2801, 2802, 2804 |
| Neighborhoods | Birten, Marienbaum, Vynen, Lüttingen, Wardt |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 51.65877, 6.45297 |
| Postal Codes | 46509 |
Map of Xanten
Interactive Map
Xanten Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 12,098 | 11,496 | 10,500 | 9,250 | 9,934 | 9,355 | 9,028 |
| Population Density | 2,726.3 / km² | 2,590.6 / km² | 2,366.2 / km² | 2,084.5 / km² | 2,238.6 / km² | 2,108.2 / km² | 2,034.5 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridXanten Population change from 2000 to 2020
Decrease of 5.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Xanten | -17.9% | -13.6% | -5.4% |
| North Rhine-Westphalia | — | — | — |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Xanten Median Age
Median Age: 46.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Xanten | 46.2 yrs | 47.1 yrs | 45.3 yrs |
| North Rhine-Westphalia | 44.4 yrs | 45.6 yrs | 43.3 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Xanten Population Density
Population Density: 2,239 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Xanten | 9,934 | 4.438 km² | 2,239 / km² |
| North Rhine-Westphalia | 17.6 million | 34,118.6 km² | 516 / km² |
| Germany | 80.7 million | 358,179.8 km² | 225 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Xanten 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 Xanten
Percentage of businesses by neighborhood in Xanten
Area Codes
Percentage Area Codes used by businesses in Xanten
Price Distribution
Business distribution by price for Xanten
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
Xanten Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $25,719 | $27,558 | $30,057 | $30,622 | $33,826 | $38,114 | $40,697 | $42,364 |
| Total GDP | $316M | $340.2M | $371.6M | $374.6M | $411.7M | $464.7M | $488.9M | $506.5M |
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
Xanten CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Xanten | 99,686 tn | 10.03 tn | 22,464.5 tons/km² |
| North Rhine-Westphalia | 176,214,894 tn | 10.01 tn | 5,164.8 tons/km² |
| Germany | 755,339,039 tn | 9.36 tn | 2,108.8 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
Xanten CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 99,686 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 10.03 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 22,464.5 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | Low (2) |
* 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. 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 |
|---|---|---|---|---|---|---|
| 9/8/11 | 7:02 PM | 4.2 | 29.7 km | 6,000 m | Germany | usgs.gov |
| 7/24/09 | 2:58 AM | 4.1 | 15.7 km | 5,000 m | Germany | usgs.gov |
| 12/25/08 | 1:53 PM | 3.2 | 21.5 km | 1,000 m | Germany | usgs.gov |
| 12/10/08 | 3:28 AM | 3.3 | 7.6 km | 10,000 m | Germany | usgs.gov |
| 12/8/08 | 5:21 PM | 3 | 60.1 km | 2,000 m | Germany | usgs.gov |
| 11/22/08 | 7:41 AM | 3.3 | 30.1 km | 1,000 m | Germany | usgs.gov |
| 11/12/08 | 8:56 PM | 3.4 | 24.8 km | 1,000 m | Germany | usgs.gov |
| 9/24/08 | 1:55 PM | 3 | 24 km | 5,000 m | Germany | usgs.gov |
| 9/18/08 | 2:33 PM | 3.2 | 9.5 km | 1,000 m | Germany | usgs.gov |
| 5/13/08 | 9:55 AM | 3.3 | 15 km | 1,000 m | Germany | usgs.gov |
Source: U.S. Geological Survey (USGS)
Xanten
Xanten (German pronunciation: [ˈksantən], Lower Franconian Santen) is a historic town in the North Rhine-Westphalia state of Germany, located in the district of Wesel. is known for the Archaeological Park, one of the largest archaeological open air ..
Xanten 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.