Industries

Business Distribution by Industry in Schwabing

Industry DescriptionNumber of Establishments
Shopping15
Restaurants15

Schwabing Facts

Area5.7 km²
Population37,427
Male Population18,097 (48.4%)
Female Population19,330 (51.6%)
Population change (1975 to 2020)+73.9%
Population change (2000 to 2020)+22.1%
Median Age40.9 years (Male: 40.1, Female: 41.8)
NeighborhoodsSchwabing-Freimann, Schwabing-West, Schwabing - West, Schwabing-Ost
Local Time
TimezoneCentral European Summer Time
Lat & Lng48.16587, 11.57891
Postal Codes8079680799808018080280803

Map of Schwabing

Interactive Map

Schwabing Population

Years 1975 to 2020

Data19751990200020152020
Population21,52325,95830,65036,78737,427
Population Density3,784.3 / km²4,564 / km²5,389 / km²6,468 / km²6,580.6 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schwabing Population change from 2000 to 2015

Increase of 20% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Schwabing+70.9%+41.7%+20%
Bavaria+18.8%+11.8%+3.9%
Germany+2.6%+2.2%-1.5%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schwabing Median Age

Median Age: 40.9 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Schwabing40.9 yrs41.8 yrs40.1 yrs
Bavaria43.8 yrs44.9 yrs42.8 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Schwabing Population Density

Population Density: 6,581 / km²

LocationPopulationAreaDensity
Schwabing37,4275.7 km²6,581 / km²
Bavaria12.7 million70,548.3 km²180 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Schwabing Historical and Projected Population

Estimated Population from 1790 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 Schwabing

Percentage of businesses by neighborhood in Schwabing

Area Codes

Percentage Area Codes used by businesses in Schwabing

Postal Codes

Percentage of businesses by Postal Codes in Schwabing

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

Schwabing CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Schwabing412,907 tn11.03 tn72,599 tons/km²
Bavaria124,278,407 tn9.81 tn1,761.6 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
Schwabing CO2 Emissions
2013 CO2 emissions (tonnes/year)412,907 tn
2013 CO2 emissions (tonnes/year) per capita11.03 tn
2013 CO2 emissions intensity (tonnes/km²/year)72,599 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
10/19/1012:38 AM487.4 km6,600 mAustriausgs.gov
9/10/081:57 PM3.195.6 km10,000 mAustriausgs.gov
5/23/0612:57 PM3.493.2 km10,000 mAustriausgs.gov
9/6/057:08 AM3.688.1 km3,300 mAustriausgs.gov
5/10/052:01 PM394.3 km10,000 mAustriausgs.gov
7/22/0412:12 PM3.858.5 km10,000 mAustriausgs.gov
5/22/0412:18 PM3.592.9 km5,400 mAustriausgs.gov
5/22/0411:37 AM3.195.2 km5,000 mAustriausgs.gov
5/22/0411:35 AM3.295.2 km4,900 mAustriausgs.gov
10/29/037:15 AM473.2 km5,000 mAustriausgs.gov

Schwabing

Schwabing is a borough in the northern part of Munich, the capital of the German state of Bavaria. It is divided into the city borough 4 (Schwabing-West) and the city borough 12 (Schwabing-Freimann). For further information on the Munich boroughs, se..

Schwabing Wikipedia Page
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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.