Industries

Business Distribution by Industry in Gánt

Industry DescriptionNumber of Establishments
Travel agencies7
Public parks7

Gánt Facts

Area69.3 km²
Population622
Male Population324 (52.0%)
Female Population298 (48.0%)
Population change (1975 to 2020)-13.0%
Population change (2000 to 2020)-21.4%
Median Age45.4 years (Male: 43.3, Female: 47.8)
GDP per capita (PPP)$38,060 (2022)
NeighborhoodsBányatelep, Vérteskozma
Local Time
TimezoneCentral European Summer Time
Lat & Lng47.39109, 18.38871
Postal Codes8082

Map of Gánt

Interactive Map

Gánt Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population715765791772622644640
Population Density10.3 / km²11 / km²11.4 / km²11.1 / km²9 / km²9.3 / km²9.2 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Gánt Population change from 2000 to 2020

Decrease of 21.4% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Gánt-13%-18.7%-21.4%
Fejér County
Hungary
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Gánt Median Age

Median Age: 45.4 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Gánt45.4 yrs47.8 yrs43.3 yrs
Fejér County40.5 yrs42.8 yrs38.5 yrs
Hungary40.8 yrs43.2 yrs38.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Gánt Population Density

Population Density: 9 / km²

LocationPopulationAreaDensity
Gánt62269.3 km²9 / km²
Fejér County429,4264,358.6 km²98.5 / km²
Hungary9.8 million93,010.9 km²106 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Gánt 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.

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

Gánt Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$17,152$15,835$18,137$22,863$23,502$31,531$35,263$38,060
Total GDP$62.4M$55.9M$61.3M$73.4M$71.6M$90.3M$95.6M$102.3M
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

Gánt CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Gánt3,164 tn5.09 tn45.7 tons/km²
Fejér County2,191,178 tn5.1 tn502.7 tons/km²
Hungary48,384,016 tn4.92 tn520.2 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
Gánt CO2 Emissions
2013 CO2 emissions (tonnes/year)3,164 tn
2013 CO2 emissions (tonnes/year) per capita5.09 tn
2013 CO2 emissions intensity (tonnes/km²/year)45.7 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
EarthquakeMedium (4)

* 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 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
6/5/136:45 PM4.195.3 km6,200 m4km ENE of Ersekvadkert, Hungaryusgs.gov
1/29/115:41 PM4.315.5 km10,000 mHungaryusgs.gov
12/31/061:39 PM4.172.3 km5,200 mHungaryusgs.gov
5/16/051:39 PM3.272.9 km8,800 mHungaryusgs.gov
5/15/051:30 PM3.977.8 km10,300 mHungaryusgs.gov
10/14/049:44 AM343.5 km8,300 mHungaryusgs.gov
8/18/049:01 AM3.345.4 km10,000 mHungaryusgs.gov
8/17/046:00 PM3.440.9 km10,000 mHungaryusgs.gov
5/25/047:30 AM4.194.4 km9,600 mHungaryusgs.gov
6/28/017:08 AM347.4 km10,000 mHungaryusgs.gov

Gánt

Gánt is a village in Fejér county, Hungary.

Gánt 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.