Industries

Business Distribution by Industry in Mór

Mór Facts

Area7.4 km²
Population12,905
Male Population6,235 (48.3%)
Female Population6,670 (51.7%)
Population change (1975 to 2020)+61.0%
Population change (2000 to 2020)+18.6%
Median Age40 years (Male: 38.1, Female: 42.2)
GDP per capita (PPP)$31,528 (2022)
NeighborhoodsFelsődobos, Árkipuszta
Local Time
TimezoneCentral European Summer Time
Lat & Lng47.37787, 18.20353
Postal Codes806080618062

Map of Mór

Interactive Map

Mór Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population8,0159,83210,88011,97212,90513,21812,963
Population Density1,086.8 / km²1,333.2 / km²1,475.3 / km²1,623.3 / km²1,749.8 / km²1,792.3 / km²1,757.7 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Mór Population change from 2000 to 2020

Increase of 18.6% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Mór+61%+31.3%+18.6%
Fejér County
Hungary
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Mór Median Age

Median Age: 40 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Mór40 yrs42.2 yrs38.1 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)

Mór Population Density

Population Density: 1,750 / km²

LocationPopulationAreaDensity
Mór12,9057.4 km²1,750 / 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

Mór Historical and Projected Population

Estimated Population from 1300 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.

Area Codes

Percentage Area Codes used by businesses in Mór

Price Distribution

Business distribution by price for Mór

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

Mór Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$17,595$14,994$18,720$26,468$21,899$25,786$27,564$31,528
Total GDP$92.1M$76.9M$92.4M$134M$108.2M$123.2M$123.5M$139.8M
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

Mór CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Mór68,454 tn5.3 tn9,281.8 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
Mór CO2 Emissions
2013 CO2 emissions (tonnes/year)68,454 tn
2013 CO2 emissions (tonnes/year) per capita5.3 tn
2013 CO2 emissions intensity (tonnes/km²/year)9,281.8 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
1/29/115:41 PM4.318.7 km10,000 mHungaryusgs.gov
12/31/061:39 PM4.186.4 km5,200 mHungaryusgs.gov
5/16/051:39 PM3.258.9 km8,800 mHungaryusgs.gov
5/15/051:30 PM3.963.8 km10,300 mHungaryusgs.gov
10/14/049:44 AM332.2 km8,300 mHungaryusgs.gov
8/18/049:01 AM3.336.1 km10,000 mHungaryusgs.gov
8/17/046:00 PM3.430.7 km10,000 mHungaryusgs.gov
6/25/046:12 PM394.6 km10,000 mHungaryusgs.gov
5/25/047:30 AM4.180.6 km9,600 mHungaryusgs.gov
6/28/017:08 AM343.5 km10,000 mHungaryusgs.gov

Mór

Mór (German: Moor) is a town in Fejér county, Hungary. Among the smaller towns in the Central Transdanubia Region of Hungary, it lies between Vértes and Bakony Hills, in the northwestern corner of Fejér Country. The historic roots of the present town..

Mór Wikipedia Page
Image of Mór

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.