Categories in Saalfeld
Auto Dent Removal ServiceAuto glassAuto paintingAuto Parts StoreBody repairCar rentalCar repairCar Repair and MaintenanceCar WashGas StationNew car dealersTire ShopUsed car dealersBuilding Materials SupplierCrane DealerFarmingHoney FarmIndustrial & Construction ManufacturingMedical Technology ManufacturerMetal Processing CompanyMetalware DealerMetalworkingWholesalersWindow SupplierChildren and baby clothingClothing storesJewelers and watchesMen's clothingOrthopedic Shoe StoreShoe storesSportswear StoreWomen's clothingMedia CompanyMobile phone storesTelecommunications Service ProviderAmbulancesAssociation or OrganizationChurchesClubEvangelical ChurchFire StationGas CompanyGovernment OfficeMailing ServicePolitical PartyPost OfficeRectoryRecycling CenterRetirement HomeShipping and Mailing Service
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Industries
Business Distribution by Industry in Saalfeld
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Health and medical | 159 | — |
| Restaurants | 139 | — |
| Corporate management | 137 | 23 years |
| Shopping | 134 | — |
| Financial services | 100 | — |
| Real estate | 97 | — |
| Dentists | 86 | — |
| Construction of buildings | 77 | — |
| Other construction | 69 | — |
| Other accommodation | 61 | — |
| Travel agencies | 60 | — |
| Car repair | 60 | — |
| Lawyers legal | 52 | — |
| Beauty salons | 52 | — |
| Electrical installation | 52 | — |
Saalfeld Facts
| Area | 11.6 km² |
| Population | 19,627 |
| Male Population | 9,418 (48.0%) |
| Female Population | 10,209 (52.0%) |
| Population change (1975 to 2020) | -39.9% |
| Population change (2000 to 2020) | -21.1% |
| Median Age | 50.1 years (Male: 47.9, Female: 52.3) |
| GDP per capita (PPP) | $36,039 (2022) |
| Area Codes | 3671, 36736, 36741 |
| Neighborhoods | Gorndorf, Beulwitz, Remschütz, Crösten, Arnsgereuth |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 50.64826, 11.36536 |
| Postal Codes | 07422 |
Map of Saalfeld
Interactive Map
Saalfeld Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 32,660 | 27,113 | 24,872 | 20,194 | 19,627 | 18,445 | 17,372 |
| Population Density | 2,809.5 / km² | 2,332.3 / km² | 2,139.5 / km² | 1,737.1 / km² | 1,688.3 / km² | 1,586.7 / km² | 1,494.4 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridSaalfeld Population change from 2000 to 2020
Decrease of 21.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Saalfeld | -39.9% | -27.6% | -21.1% |
| Thuringia | — | — | — |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Saalfeld Median Age
Median Age: 50.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Saalfeld | 50.1 yrs | 52.3 yrs | 47.9 yrs |
| Thuringia | 47.8 yrs | 49.6 yrs | 46 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Saalfeld Population Density
Population Density: 1,688 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Saalfeld | 19,627 | 11.6 km² | 1,688 / km² |
| Thuringia | 2.1 million | 16,199.9 km² | 130 / 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
Saalfeld 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 Saalfeld
Percentage of businesses by neighborhood in Saalfeld
Price Distribution
Business distribution by price for Saalfeld
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
Saalfeld Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $20,709 | $22,190 | $24,202 | $26,008 | $29,261 | $34,133 | $34,621 | $36,039 |
| Total GDP | $128.1M | $138.6M | $149.5M | $151.9M | $162.5M | $181.6M | $174.9M | $180.1M |
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
Saalfeld CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Saalfeld | 178,533 tn | 9.1 tn | 15,357.6 tons/km² |
| Thuringia | 19,279,601 tn | 9.13 tn | 1,190.1 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
Saalfeld CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 178,533 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 9.1 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 15,357.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
| 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 |
|---|---|---|---|---|---|---|
| 5/22/18 | 7:54 PM | 3.2 | 87.6 km | 10,000 m | 2km ENE of Luby, Czech Republic | usgs.gov |
| 5/21/18 | 9:04 PM | 4.1 | 81.7 km | 13,920 m | 2km SSE of Erlbach, Germany | usgs.gov |
| 5/31/14 | 10:37 AM | 3.8 | 89.6 km | 10,000 m | 4km NE of Skalna, Czech Republic | usgs.gov |
| 10/28/08 | 2:51 PM | 3.3 | 90.9 km | 9,400 m | Czech Republic | usgs.gov |
| 10/28/08 | 8:30 AM | 4.2 | 91.4 km | 10,000 m | Czech Republic | usgs.gov |
| 10/21/08 | 2:14 AM | 3.5 | 90.8 km | 10,000 m | Czech Republic | usgs.gov |
| 10/21/08 | 1:10 AM | 3 | 90.2 km | 10,000 m | Czech Republic | usgs.gov |
| 10/14/08 | 7:00 PM | 4.1 | 91.7 km | 6,800 m | Czech Republic | usgs.gov |
| 10/14/08 | 4:05 AM | 3.3 | 90.9 km | 4,600 m | Czech Republic | usgs.gov |
| 10/14/08 | 4:01 AM | 3.4 | 91.9 km | 10,300 m | Czech Republic | usgs.gov |
Source: U.S. Geological Survey (USGS)
Saalfeld
Saalfeld (German: Saalfeld/Saale) is a town in Germany, capital of the Saalfeld-Rudolstadt district of Thuringia. It is best known internationally as the ancestral seat of the Saxe-Coburg and Gotha branch of the Saxon House of Wettin, which was renam..
Saalfeld 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.