Industries

Business Distribution by Industry in Schkölen

Schkölen Facts

Area1.0 km²
Population369
Male Population192 (52.1%)
Female Population177 (47.9%)
Population change (1975 to 2020)-74.2%
Population change (2000 to 2020)-66.5%
Median Age48.2 years (Male: 46.7, Female: 49.9)
GDP per capita (PPP)$33,239 (2022)
Area Codes36694
NeighborhoodsRockau, Hainchen, Dothen, Wetzdorf, Graitschen a. d. Höhe
Local Time
TimezoneCentral European Summer Time
Lat & Lng51.04166, 11.82141
Postal Codes07619

Map of Schkölen

Interactive Map

Schkölen Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population1,4321,2611,103884369338311
Population Density1,432 / km²1,261 / km²1,103 / km²884 / km²369 / km²338 / km²311 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schkölen Population change from 2000 to 2020

Decrease of 66.5% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Schkölen-74.2%-70.7%-66.5%
Thuringia
Germany
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schkölen Median Age

Median Age: 48.2 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Schkölen48.2 yrs49.9 yrs46.7 yrs
Thuringia47.8 yrs49.6 yrs46 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Schkölen Population Density

Population Density: 369 / km²

LocationPopulationAreaDensity
Schkölen3691 km²369 / km²
Thuringia2.1 million16,199.9 km²130 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schkölen 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 Schkölen

Percentage of businesses by neighborhood in Schkölen

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

Schkölen Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$19,561$20,959$22,860$24,666$27,845$30,193$31,931$33,239
Total GDP$62.8M$66.4M$70.4M$71.9M$77.7M$81M$82.9M$84.7M
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

Schkölen CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Schkölen3,422 tn9.27 tn3,421.7 tons/km²
Thuringia19,279,601 tn9.13 tn1,190.1 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
Schkölen CO2 Emissions
2013 CO2 emissions (tonnes/year)3,422 tn
2013 CO2 emissions (tonnes/year) per capita9.27 tn
2013 CO2 emissions intensity (tonnes/km²/year)3,421.7 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodMedium (7)
EarthquakeLow (2)

* 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.
  3. 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

DateTimeMagnitudeDistanceDepthLocationLink
5/22/187:54 PM3.297.2 km10,000 m2km ENE of Luby, Czech Republicusgs.gov
5/21/189:04 PM4.191.5 km13,920 m2km SSE of Erlbach, Germanyusgs.gov
4/16/156:38 AM3.349.2 km20,600 m1km NE of Grobers, Germanyusgs.gov
10/19/074:42 AM3.656.8 km10,000 mGermany-Czech Republic border regionusgs.gov
8/4/062:21 AM351.4 km10,000 mGermany-Czech Republic border regionusgs.gov
6/5/016:26 AM3.578.7 km10,000 mGermany-Czech Republic border regionusgs.gov
9/4/0012:31 AM3.688.7 km10,000 mCzech Republicusgs.gov
6/1/975:12 AM3.896.7 km5,000 mCzech Republicusgs.gov
9/11/963:36 AM4.933.2 km10,000 mGermanyusgs.gov
2/25/962:23 PM3.172.2 km10,000 mGermanyusgs.gov

Schkölen

Schkölen is a town in the Saale-Holzland district, in Thuringia, Germany. It is situated 12 km south of Naumburg.

Schkölen 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.