Industries

Business Distribution by Industry in Geiselwind

Geiselwind Facts

Area0.9 km²
Population423
Male Population213 (50.3%)
Female Population210 (49.7%)
Population change (1975 to 2020)-53.8%
Population change (2000 to 2020)-54.9%
Median Age44.4 years (Male: 43.7, Female: 45.2)
GDP per capita (PPP)$48,362 (2022)
Area Codes9555, 9556
NeighborhoodsWasserberndorf, Rehweiler, Gräfenneuses, Füttersee, Langenberg
Local Time
TimezoneCentral European Summer Time
Lat & Lng49.77356, 10.47063
Postal Codes96160

Map of Geiselwind

Interactive Map

Geiselwind Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population915930938866423402388
Population Density1,045.7 / km²1,062.9 / km²1,072 / km²989.7 / km²483.4 / km²459.4 / km²443.4 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Geiselwind Population change from 2000 to 2020

Decrease of 54.9% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Geiselwind-53.8%-54.5%-54.9%
Bavaria
Germany
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Geiselwind Median Age

Median Age: 44.4 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Geiselwind44.4 yrs45.2 yrs43.7 yrs
Bavaria43.8 yrs44.9 yrs42.8 yrs
Germany44.8 yrs46 yrs43.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Geiselwind Population Density

Population Density: 483 / km²

LocationPopulationAreaDensity
Geiselwind4230.875 km²483 / 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

Geiselwind 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 in Geiselwind

Percentage of businesses by neighborhood in Geiselwind

Area Codes

Percentage Area Codes used by businesses in Geiselwind

Price Distribution

Business distribution by price for Geiselwind

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

Geiselwind Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$30,219$32,379$35,316$37,329$41,868$46,355$46,459$48,362
Total GDP$86.7M$97.5M$109.9M$117.1M$133.1M$150.4M$152.5M$159.2M
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

Geiselwind CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Geiselwind4,042 tn9.56 tn4,619.3 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
Geiselwind CO2 Emissions
2013 CO2 emissions (tonnes/year)4,042 tn
2013 CO2 emissions (tonnes/year) per capita9.56 tn
2013 CO2 emissions intensity (tonnes/km²/year)4,619.3 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (10)
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
7/2/011:19 PM3.459.5 km10,000 mGermanyusgs.gov
12/11/983:45 AM342.7 km10,000 mGermanyusgs.gov
11/10/974:13 PM3.353.5 km10,000 mGermanyusgs.gov
10/21/931:52 PM374.6 km10,000 mGermanyusgs.gov
5/4/917:33 AM362 km10,000 mGermanyusgs.gov
4/28/8311:54 AM379.2 km10,000 mGermanyusgs.gov

Geiselwind

Geiselwind is a market town with 2323 inhabitants in Lower Franconia (Bavaria) in the district of Kitzingen in Germany. may render its name into English as "hostage wind". However, in this case, "Geisel" means a special form of a whip, not a hostage..

Geiselwind 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.