Postal Code 95514 - Bavaria

Bavaria | Germany
Area of Postal Code 9551432.1 km²
Population1,335
Male Population648 (48.5%)
Female Population687 (51.5%)
Population change from 1975 to 2020+2.7%
Population change from 2000 to 2020+4.3%
Median Age44.5 years
Male Median Age43.7 years
Female Median Age45.3 years
Area Codes208, 2183, 2241, 2247
NeighborhoodsFilchendorf, Scheckenhof
TimezoneCentral European Summer Time
Coordinates49.825057712509874° / 11.821559022892103°
Related Postal Codes95500, 95502, 95503, 95505, 95509, 95511, 95512, 95515, 95517, 95519

Map of Postal Code 95514 - Bavaria

Interactive Map

Postal Code 95514 - Bavaria Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population1,3001,2731,2801,4431,3351,3441,352
Population Density40.5 / km²39.7 / km²39.9 / km²45 / km²41.6 / km²41.9 / km²42.2 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 95514 - Bavaria Population change from 2000 to 2020

Increase of 4.3% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Postal Code 95514 - Bavaria+2.7%+4.9%+4.3%
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 95514 - Bavaria Median Age

Median Age: 44.5 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 95514 - Bavaria44.5 yrs45.3 yrs43.7 yrs
Bavaria43.9 yrs44.9 yrs42.8 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 95514 Population Density

Population Density: 41.6 / km²

LocationPopulationAreaDensity
Postal Code 955141,33532.1 km²41.6 / km²
Bavaria13.2 million70,548.3 km²187 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 95514 - Bavaria 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

Business Distribution by neighborhood in Postal Code 95514 - 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 95514 - Bavaria Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$23,760$25,458$27,768$23,764$25,555$28,201$29,677$30,893
Total GDP$199.6M$224.2M$251.3M$215.3M$231.9M$259.5M$275.6M$288.4M
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 95514 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 9551412,496 tn9.36 tn389.7 tons/km²
Bavaria129,701,500 tn9.81 tn1,838.5 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
Postal Code 95514 CO2 Emissions
2013 CO2 emissions (tonnes/year)12,496 tn
2013 CO2 emissions (tonnes/year) per capita9.36 tn
2013 CO2 emissions intensity (tonnes/km²/year)389.7 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.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
5/22/1812:54 PM3.265.8 km10,000 m2km ENE of Luby, Czech Republicusgs.gov
5/21/182:04 PM4.166 km13,920 m2km SSE of Erlbach, Germanyusgs.gov
5/31/143:37 AM3.859 km10,000 m4km NE of Skalna, Czech Republicusgs.gov
9/3/118:52 PM460.7 km2,000 mCzech Republicusgs.gov
10/28/081:30 AM4.262.6 km10,000 mCzech Republicusgs.gov
10/28/087:51 AM3.364.3 km9,400 mCzech Republicusgs.gov
10/28/081:27 AM3.362.5 km8,400 mCzech Republicusgs.gov
10/20/087:14 PM3.562.9 km10,000 mCzech Republicusgs.gov
10/16/083:48 AM3.263.5 kmCzech Republicusgs.gov
10/14/0812:00 PM4.160.4 km6,800 mCzech Republicusgs.gov
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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.