Industries

Business Distribution by Industry in Bad Liebenstein

Bad Liebenstein Facts

Area1.9 km²
Population2,740
Male Population1,283 (46.8%)
Female Population1,457 (53.2%)
Population change (1975 to 2020)-79.2%
Population change (2000 to 2020)-42.8%
Median Age48 years (Male: 46.4, Female: 49.5)
GDP per capita (PPP)$38,343 (2022)
Area Codes36961
NeighborhoodsMeimers, Unterlemnitz, Helmsgrün, Saaldorf, Bairoda
Local Time
TimezoneCentral European Summer Time
Lat & Lng50.81569, 10.35123

Map of Bad Liebenstein

Interactive Map

Bad Liebenstein Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population13,1586,7024,7932,5442,7402,5402,403
Population Density7,017.6 / km²3,574.4 / km²2,556.3 / km²1,356.8 / km²1,461.3 / km²1,354.7 / km²1,281.6 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Bad Liebenstein Population change from 2000 to 2020

Decrease of 42.8% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Bad Liebenstein-79.2%-59.1%-42.8%
Thuringia
Germany
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Bad Liebenstein Median Age

Median Age: 48 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Bad Liebenstein48 yrs49.5 yrs46.4 yrs
Thuringia47.8 yrs49.6 yrs46 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Bad Liebenstein Population Density

Population Density: 1,461 / km²

LocationPopulationAreaDensity
Bad Liebenstein2,7401.875 km²1,461 / 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

Bad Liebenstein 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 Bad Liebenstein

Percentage of businesses by neighborhood in Bad Liebenstein

Area Codes

Percentage Area Codes used by businesses in Bad Liebenstein

Price Distribution

Business distribution by price for Bad Liebenstein

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

Bad Liebenstein Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$20,408$21,867$23,850$26,567$30,482$36,433$36,834$38,343
Total GDP$86.2M$86.5M$84M$77.6M$73.5M$76.1M$71.4M$72.6M
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

Bad Liebenstein CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Bad Liebenstein25,398 tn9.27 tn13,545.3 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
Bad Liebenstein CO2 Emissions
2013 CO2 emissions (tonnes/year)25,398 tn
2013 CO2 emissions (tonnes/year) per capita9.27 tn
2013 CO2 emissions intensity (tonnes/km²/year)13,545.3 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
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
10/25/062:11 PM357.5 km1,000 mGermanyusgs.gov
9/22/054:00 AM3.222.2 km10,000 mGermanyusgs.gov
7/2/011:19 PM3.463.7 km10,000 mGermanyusgs.gov
12/11/983:45 AM373.7 km10,000 mGermanyusgs.gov
11/10/974:13 PM3.366.9 km10,000 mGermanyusgs.gov
5/4/917:33 AM398.1 km10,000 mGermanyusgs.gov
3/13/891:02 PM5.434.2 km1,000 mGermanyusgs.gov
7/2/833:18 AM3.667.7 km10,000 mGermanyusgs.gov
4/28/8311:54 AM393.6 km10,000 mGermanyusgs.gov
1/29/8211:03 PM3.463.9 km10,000 mGermanyusgs.gov

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.