Categories in Ebeleben
AutomotiveCar repairGas stationNew car dealersOther wholesaleTractors and farm equipmentWholesale of construction suppliesChurchesPost officeReligionConstruction of buildingsElectrical installationRoofing contractorAll food and beverageButcherGrocery stores and supermarketsRestaurantsFurniture storesHousehold appliances and goodsBanksCemeteries and crematoriumsDentistsGeneral practitionersBeauty salonsHairdressersFloristsShoppingShopping otherOther accommodation
Industries
Business Distribution by Industry in Ebeleben
| Industry Description | Number of Establishments | Average Google Rating |
|---|---|---|
| Shopping | 18 | 4 |
| Grocery stores and supermarkets | 8 | 3.9 |
| All food and beverage | 8 | 3.9 |
Ebeleben Facts
| Area | 1.8 km² |
| Population | 1,459 |
| Male Population | 743 (50.9%) |
| Female Population | 716 (49.1%) |
| Population change (1975 to 2020) | -54.0% |
| Population change (2000 to 2020) | -25.9% |
| Median Age | 49.2 years (Male: 47.3, Female: 51.2) |
| Area Codes | 36020 |
| Neighborhoods | Rockensußra, Allmenhausen, Gundersleben, Wiedermuth |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 51.28283, 10.72999 |
Map of Ebeleben
Interactive Map
Ebeleben Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 3,175 | 2,273 | 1,969 | 1,502 | 1,459 |
| Population Density | 1,751.7 / km² | 1,254.1 / km² | 1,086.3 / km² | 828.7 / km² | 805 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Ebeleben Population change from 2000 to 2015
Decrease of 23.7% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Ebeleben | -52.7% | -33.9% | -23.7% |
| Thuringia | -31.8% | -19.6% | -14.2% |
| Germany | +2.6% | +2.2% | -1.5% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Ebeleben Median Age
Median Age: 49.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Ebeleben | 49.2 yrs | 51.2 yrs | 47.3 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)
Ebeleben Population Density
Population Density: 805 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Ebeleben | 1,459 | 1.813 km² | 805 / 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
Ebeleben 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 Ebeleben
Percentage of businesses by neighborhood in Ebeleben
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
Ebeleben CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Ebeleben | 13,008 tn | 8.92 tn | 7,176.7 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
Ebeleben CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 13,008 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 8.92 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 7,176.7 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | 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.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 4/16/15 | 6:38 AM | 3.3 | 99 km | 20,600 m | 1km NE of Grobers, Germany | usgs.gov |
| 10/25/06 | 2:11 PM | 3 | 6 km | 1,000 m | Germany | usgs.gov |
| 9/22/05 | 4:00 AM | 3.2 | 74 km | 10,000 m | Germany | usgs.gov |
| 9/11/96 | 3:36 AM | 4.9 | 66.4 km | 10,000 m | Germany | usgs.gov |
| 2/25/96 | 2:23 PM | 3.1 | 54.5 km | 10,000 m | Germany | usgs.gov |
| 3/30/95 | 3:13 PM | 3 | 61.7 km | 10,000 m | Germany | usgs.gov |
| 3/13/89 | 1:02 PM | 5.4 | 86.5 km | 1,000 m | Germany | usgs.gov |
| 7/2/83 | 3:18 AM | 3.6 | 18.6 km | 10,000 m | Germany | usgs.gov |
| 10/13/80 | 1:09 AM | 3.1 | 23 km | 10,000 m | Germany | usgs.gov |
| 6/23/75 | 1:17 PM | 5.3 | 98.3 km | 33,000 m | Germany | usgs.gov |
Source: U.S. Geological Survey (USGS)
Ebeleben
Ebeleben is a town in the Kyffhäuserkreis district, in Thuringia, Germany. It is situated 13 km southwest of Sondershausen.
Ebeleben 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.