Categories in Mainleus
Industries
Business Distribution by Industry in Mainleus
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 29 |
| Construction of buildings | 27 |
| Firefighting and rescue | 20 |
| Other membership organizations | 17 |
| Shopping | 15 |
| Corporate management | 14 |
| Other accommodation | 12 |
| Health and medical | 12 |
| Real estate | 11 |
| All food and beverage | 11 |
| Electrical installation | 11 |
| Dentists | 11 |
| Shopping other | 10 |
| Education | 10 |
| Car repair | 10 |
Mainleus Facts
| Area | 1.2 km² |
| Population | 2,046 |
| Male Population | 1,013 (49.5%) |
| Female Population | 1,033 (50.5%) |
| Population change (1975 to 2020) | -37.1% |
| Population change (2000 to 2020) | -31.4% |
| Median Age | 46.5 years (Male: 45.3, Female: 47.9) |
| GDP per capita (PPP) | $47,841 (2022) |
| Area Codes | 9221, 9229 |
| Neighborhoods | Schwarzach b.Kulmbach, Veitlahm, Rothwind, Schmeilsdorf, Rothe Kelter |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 50.09987, 11.37664 |
| Postal Codes | 95336 |
Map of Mainleus
Interactive Map
Mainleus Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 3,251 | 3,009 | 2,983 | 2,640 | 2,046 | 1,972 | 1,890 |
| Population Density | 2,737.7 / km² | 2,533.9 / km² | 2,512 / km² | 2,223.2 / km² | 1,722.9 / km² | 1,660.6 / km² | 1,591.6 / km² |
Mainleus Population change from 2000 to 2020
Decrease of 31.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Mainleus | -37.1% | -32% | -31.4% |
| Bavaria | — | — | — |
| Germany | — | — | — |
Mainleus Median Age
Median Age: 46.5 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Mainleus | 46.5 yrs | 47.9 yrs | 45.3 yrs |
| Bavaria | 43.8 yrs | 44.9 yrs | 42.8 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Mainleus Population Density
Population Density: 1,723 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Mainleus | 2,046 | 1.188 km² | 1,723 / km² |
| Bavaria | 12.7 million | 70,548.3 km² | 180 / km² |
| Germany | 80.7 million | 358,179.8 km² | 225 / km² |
Mainleus Historical and Projected Population
Estimated Population from 0 to 2100
- 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 Mainleus
Percentage of businesses by neighborhood in Mainleus
Price Distribution
Business distribution by price for Mainleus
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Mainleus Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $32,104 | $34,399 | $37,519 | $43,122 | $45,288 | $47,145 | $45,959 | $47,841 |
| Total GDP | $170.1M | $186.3M | $204.9M | $234.5M | $246.5M | $260.2M | $258.4M | $270.8M |
Mainleus CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Mainleus | 19,304 tn | 9.44 tn | 16,256.4 tons/km² |
| Bavaria | 124,278,407 tn | 9.81 tn | 1,761.6 tons/km² |
| Germany | 755,339,039 tn | 9.36 tn | 2,108.8 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 19,304 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 9.44 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 16,256.4 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.
- 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 | 78.1 km | 10,000 m | 2km ENE of Luby, Czech Republic | usgs.gov |
| 5/21/18 | 9:04 PM | 4.1 | 74.8 km | 13,920 m | 2km SSE of Erlbach, Germany | usgs.gov |
| 5/31/14 | 10:37 AM | 3.8 | 74.6 km | 10,000 m | 4km NE of Skalna, Czech Republic | usgs.gov |
| 10/28/08 | 2:51 PM | 3.3 | 78.9 km | 9,400 m | Czech Republic | usgs.gov |
| 10/28/08 | 8:30 AM | 4.2 | 78.1 km | 10,000 m | Czech Republic | usgs.gov |
| 10/28/08 | 8:27 AM | 3.3 | 78.7 km | 8,400 m | Czech Republic | usgs.gov |
| 10/21/08 | 2:14 AM | 3.5 | 78 km | 10,000 m | Czech Republic | usgs.gov |
| 10/21/08 | 1:10 AM | 3 | 77.4 km | 10,000 m | Czech Republic | usgs.gov |
| 10/14/08 | 7:00 PM | 4.1 | 76.8 km | 6,800 m | Czech Republic | usgs.gov |
| 10/14/08 | 4:05 AM | 3.3 | 75.8 km | 4,600 m | Czech Republic | usgs.gov |
Mainleus
Mainleus is a municipality in the district of Kulmbach in Bavaria in Germany, the site of a post World War II American sector displaced person camp.
Mainleus 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.

