Categories in Pirmasens
Auto glassAuto Parts StoreBody repairCar Detailing ServiceCar rentalCar repairCar Repair and MaintenanceCar WashGas StationNew car dealersTire ShopUsed car dealersChemical PlantClothes and Fabric ManufacturerCommercial PrinterDog BreederHandicraftHeating Equipment SupplierIndustrial & Construction ManufacturingLeather WholesalerMachines WholesaleMetalworkingOffice Furniture StoreOffice Supply StorePlastic Fabrication CompanySharpening ServiceSunblind SupplierWholesale GrocerWholesalersWindow SupplierChildren and baby clothingCleanersClothing storesFabric StoreLeather Goods StoreLingerie StoreMen's clothingOrthopedic Shoe StorePlus Size Clothing StoreShoe storesWomen's clothingInternet Service ProviderMedia CompanyMobile phone storesRadio BroadcasterTelecommunications ContractorTelecommunications Service ProviderAssociation or OrganizationCatholic ChurchCharities
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Industries
Business Distribution by Industry in Pirmasens
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 323 | 64 years |
| Restaurants | 284 | — |
| Corporate management | 231 | 30 years |
| Health and medical | 227 | — |
| Construction of buildings | 160 | — |
| Real estate | 139 | — |
| Hairdressers | 133 | — |
| Clothing stores | 120 | 58 years |
| Car repair | 105 | — |
| Financial services | 102 | — |
| Shoe stores | 101 | — |
| Lawyers legal | 101 | — |
Pirmasens Facts
| Area | 16.4 km² |
| Population | 29,655 |
| Male Population | 14,203 (47.9%) |
| Female Population | 15,452 (52.1%) |
| Population change (1975 to 2020) | +169.6% |
| Population change (2000 to 2020) | +15.2% |
| Median Age | 48.2 years (Male: 46.3, Female: 50.1) |
| GDP per capita (PPP) | $22,417 (2022) |
| Area Codes | 6331 |
| Neighborhoods | Winzeln, Ruhbank, Fehrbach, Erlenbrunn, Gersbach |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 49.20145, 7.60529 |
| Postal Codes | 66953, 66954, 66955 |
Map of Pirmasens
Interactive Map
Pirmasens Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 11,000 | 17,909 | 25,750 | 41,338 | 29,655 | 28,574 | 28,534 |
| Population Density | 671.8 / km² | 1,093.7 / km² | 1,572.5 / km² | 2,524.5 / km² | 1,811 / km² | 1,745 / km² | 1,742.5 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPirmasens Population change from 2000 to 2020
Increase of 15.2% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Pirmasens | +169.6% | +65.6% | +15.2% |
| Rhineland-Palatinate | — | — | — |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pirmasens Median Age
Median Age: 48.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Pirmasens | 48.2 yrs | 50.1 yrs | 46.3 yrs |
| Rhineland-Palatinate | 45.2 yrs | 46.2 yrs | 44.1 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Pirmasens Population Density
Population Density: 1,811 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Pirmasens | 29,655 | 16.4 km² | 1,811 / km² |
| Rhineland-Palatinate | 4 million | 19,855.3 km² | 203 / 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
Pirmasens Historical and Projected Population
Estimated Population from 1700 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 Pirmasens
Percentage of businesses by neighborhood in Pirmasens
Postal Codes
Percentage of businesses by Postal Codes in Pirmasens
Price Distribution
Business distribution by price for Pirmasens
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
Pirmasens Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $16,081 | $17,231 | $18,794 | $18,435 | $19,242 | $21,389 | $21,535 | $22,417 |
| Total GDP | $152M | $176.7M | $201.9M | $213.2M | $242.1M | $288.2M | $295.9M | $306.6M |
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
Pirmasens CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Pirmasens | 128,912 tn | 4.35 tn | 7,872.5 tons/km² |
| Rhineland-Palatinate | 18,526,864 tn | 4.59 tn | 933.1 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
Pirmasens CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 128,912 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.35 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 7,872.5 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| 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 |
|---|---|---|---|---|---|---|
| 2/16/08 | 9:48 AM | 3.2 | 57 km | 10,000 m | Germany | usgs.gov |
| 11/19/07 | 11:07 AM | 3.5 | 53.6 km | 1,000 m | Germany | usgs.gov |
| 10/4/06 | 10:11 PM | 3 | 52.5 km | 1,000 m | Germany | usgs.gov |
| 9/22/06 | 10:38 PM | 3 | 53.1 km | 1,000 m | Germany | usgs.gov |
| 4/22/06 | 8:14 AM | 3 | 53.6 km | 1,000 m | Germany | usgs.gov |
| 3/22/06 | 2:03 PM | 3.7 | 55.3 km | 1,000 m | Germany | usgs.gov |
| 3/10/06 | 3:19 PM | 3.4 | 53.6 km | 1,000 m | Germany | usgs.gov |
| 2/26/06 | 6:27 PM | 3.2 | 55.3 km | 1,000 m | Germany | usgs.gov |
| 2/7/06 | 10:22 PM | 3.7 | 55.2 km | 1,000 m | Germany | usgs.gov |
| 12/19/05 | 3:37 AM | 3.6 | 51.8 km | 1,000 m | Germany | usgs.gov |
Source: U.S. Geological Survey (USGS)
Pirmasens
Pirmasens is an independent town in Rhineland-Palatinate, Germany, near the border with France. It is famous for the manufacture of shoes. The surrounding rural district was called Landkreis Pirmasens from 1818 until 1997, when it was renamed to Südw..
Pirmasens Wikipedia Page
About Our Data
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