Postal Code 90542 - Bavaria
Bavaria | Germany
| Area of Postal Code 90542 | 29.8 km² |
| Population | 14,659 |
| Male Population | 7,212 (49.2%) |
| Female Population | 7,447 (50.8%) |
| Population change from 1975 to 2020 | +23.6% |
| Population change from 2000 to 2020 | +7.2% |
| Median Age | 44.4 years |
| Male Median Age | 43.7 years |
| Female Median Age | 45.1 years |
| Area Codes | 208, 2183, 2241, 2247 |
| Neighborhoods | Brand, Eckenhaid, Eschenau, Forth, Oberschöllenbach |
| Timezone | Central European Summer Time |
| Coordinates | 49.5844112405893° / 11.21791143410319° |
| Related Postal Codes | 90513, 90518, 90522, 90530, 90547, 90571, 90574, 90579, 90584, 90587 |
Map of Postal Code 90542 - Bavaria
Interactive Map
Postal Code 90542 - Bavaria Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 11,857 | 12,715 | 13,680 | 14,203 | 14,659 | 14,724 | 14,733 |
| Population Density | 398.3 / km² | 427.1 / km² | 459.6 / km² | 477.1 / km² | 492.5 / km² | 494.6 / km² | 494.9 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 90542 - Bavaria Population change from 2000 to 2020
Increase of 7.2% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 90542 - Bavaria | +23.6% | +15.3% | +7.2% |
| Bavaria | +23.9% | +16.7% | +8.4% |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 90542 - Bavaria Median Age
Median Age: 44.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 90542 - Bavaria | 44.4 yrs | 45.1 yrs | 43.7 yrs |
| Bavaria | 43.9 yrs | 44.9 yrs | 42.8 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 90542 Population Density
Population Density: 493 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 90542 | 14,659 | 29.8 km² | 493 / km² |
| Bavaria | 13.2 million | 70,548.3 km² | 187 / 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
Postal Code 90542 - Bavaria 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
Business Distribution by neighborhood in Postal Code 90542 - Bavaria
Business Concentration in Postal Code 90542 - Bavaria
Industries
Business Distribution by Industry in Postal Code 90542 - Bavaria
| Industry Description | Number of Establishments |
|---|---|
| Advertising and marketing | 36 |
| Construction of buildings | 80 |
| Corporate management | 97 |
| Electrical installation | 44 |
| Electronics stores | 61 |
| Financial services | 42 |
| Health and medical | 63 |
| Other membership organizations | 47 |
| Real estate | 84 |
| Restaurants | 59 |
| Shopping | 143 |
| Technical construction services | 51 |
Business distribution by price for Postal Code 90542 - Bavaria
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
Postal Code 90542 - Bavaria Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $22,540 | $24,151 | $26,342 | $26,473 | $28,397 | $36,545 | $43,119 | $44,885 |
| Total GDP | $426.9M | $479.9M | $542.5M | $552.2M | $602.5M | $793.6M | $944.9M | $986.2M |
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
Postal Code 90542 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 90542 | 155,381 tn | 10.6 tn | 5,219.9 tons/km² |
| Bavaria | 129,701,500 tn | 9.81 tn | 1,838.5 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
Postal Code 90542 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 155,381 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 10.6 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 5,219.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Low (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 3/23/05 | 10:13 AM | 3.2 | 88.8 km | 5,000 m | Germany-Czech Republic border region | usgs.gov |
| 9/6/91 | 4:17 PM | 3.1 | 79.2 km | 10,000 m | Germany-Czech Republic border region | usgs.gov |
| 5/7/85 | 4:15 AM | 3.5 | 95.9 km | 10,000 m | Czech Republic | usgs.gov |
Source: U.S. Geological Survey (USGS)
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.