Categories in Baesweiler
Auto Parts StoreCar repairCar Repair and MaintenanceCar WashGas StationNew car dealersUsed car dealersFarmingMachining ManufacturerMetal FinisherMetal Processing CompanyMetalworkingPharmaceutical CompanyPlastic Fabrication CompanyScreen PrinterSolar Energy Equipment SupplierWholesale of Textiles & Raw MaterialsWholesalersChildren and baby clothingCleanersClothing storesMen's clothingShoe storesWomen's clothingMobile phone storesTelecommunications Service ProviderAssociation or OrganizationCatholic ChurchChurchesClubCounselorDay Care CenterDistribution ServiceFire StationFoster Care ServiceGun ClubMailing ServiceMosquesPost OfficePower StationRecycling drop-off locationShipping and Mailing ServiceShipping CompanyShipping ServiceSolar Photovoltaic Power PlantWaste Management ServiceYouth OrganizationComputer ConsultantComputer ServiceElectronics Store
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Industries
Business Distribution by Industry in Baesweiler
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Corporate management | 107 | 22 years |
| Restaurants | 101 | — |
| Shopping | 97 | — |
| Health and medical | 67 | — |
| Other membership organizations | 57 | — |
| Beauty salons | 49 | — |
| Construction of buildings | 47 | — |
| Electronics stores | 47 | — |
| Real estate | 42 | — |
| All food and beverage | 41 | — |
| Clothing stores | 40 | — |
| Electrical installation | 36 | — |
| Hairdressers | 36 | — |
| Financial services | 34 | — |
| Accountants | 34 | — |
| Education | 33 | — |
| Dentists | 33 | — |
Baesweiler Facts
| Area | 6.3 km² |
| Population | 22,610 |
| Male Population | 10,994 (48.6%) |
| Female Population | 11,616 (51.4%) |
| Population change (1975 to 2020) | +6.7% |
| Population change (2000 to 2020) | +8.7% |
| Median Age | 43.1 years (Male: 41.1, Female: 45) |
| GDP per capita (PPP) | $35,244 (2022) |
| Area Codes | 2401 |
| Neighborhoods | Setterich, Beggendorf, Oidtweiler, Loverich, Puffendorf |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 50.90964, 6.18874 |
| Postal Codes | 52499 |
Map of Baesweiler
Interactive Map
Baesweiler Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 21,194 | 20,476 | 20,805 | 19,378 | 22,610 | 22,087 | 21,673 |
| Population Density | 3,391 / km² | 3,276.2 / km² | 3,328.8 / km² | 3,100.5 / km² | 3,617.6 / km² | 3,533.9 / km² | 3,467.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridBaesweiler Population change from 2000 to 2020
Increase of 8.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Baesweiler | +6.7% | +10.4% | +8.7% |
| North Rhine-Westphalia | — | — | — |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Baesweiler Median Age
Median Age: 43.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Baesweiler | 43.1 yrs | 45 yrs | 41.1 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)
Baesweiler Population Density
Population Density: 3,618 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Baesweiler | 22,610 | 6.3 km² | 3,618 / 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
Baesweiler 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 Baesweiler
Percentage of businesses by neighborhood in Baesweiler
Price Distribution
Business distribution by price for Baesweiler
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
Baesweiler Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $22,592 | $24,207 | $26,402 | $27,571 | $27,737 | $32,722 | $33,857 | $35,244 |
| Total GDP | $263.9M | $291.3M | $323.4M | $339.6M | $344M | $411.8M | $423.5M | $440.4M |
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
Baesweiler CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Baesweiler | 221,576 tn | 9.8 tn | 35,452.2 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
Baesweiler CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 221,576 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 9.8 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 35,452.2 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | Medium (4) |
* 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 |
|---|---|---|---|---|---|---|
| 12/8/08 | 5:21 PM | 3 | 31.2 km | 2,000 m | Germany | usgs.gov |
| 3/11/08 | 6:17 PM | 3.4 | 55.2 km | 10,000 m | Germany | usgs.gov |
| 1/24/08 | 3:30 AM | 3.7 | 66.9 km | 10,000 m | Germany | usgs.gov |
| 12/12/07 | 2:52 PM | 3.7 | 66.1 km | 5,000 m | Germany | usgs.gov |
| 11/25/07 | 3:10 AM | 3.7 | 56.4 km | 13,000 m | Belgium | usgs.gov |
| 3/31/07 | 6:46 AM | 3 | 58.1 km | 15,600 m | Belgium | usgs.gov |
| 1/31/07 | 12:20 AM | 3 | 65.9 km | 1,000 m | Germany | usgs.gov |
| 1/24/07 | 3:23 PM | 3 | 65.5 km | 2,600 m | Germany | usgs.gov |
| 12/26/06 | 6:19 PM | 3.2 | 69 km | 10,000 m | Germany | usgs.gov |
| 11/28/06 | 8:19 AM | 3.1 | 27.4 km | 4,000 m | The Netherlands | usgs.gov |
Source: U.S. Geological Survey (USGS)
Baesweiler
Baesweiler (German pronunciation: [ˈbaːsvaɪlɐ]) is a municipality in the district of Aachen, North Rhine-Westphalia, Germany.
Baesweiler 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.