Businesses in Kál

Categories in Kál

Gas Station Tourist Attraction Bars, pubs and taverns Grocery stores and supermarkets Restaurants Shopping Unreachable

Industries

Business Distribution by Industry in Kál

Industry Description	Number of Establishments
Grocery stores and supermarkets	11
Shopping	9
Bars, pubs and taverns	6
Gas station	6
Construction of buildings	5

Kál Facts

Area	3.9 km²
Population	3,284
Male Population	1,568 (47.7%)
Female Population	1,716 (52.3%)
Population change (1975 to 2020)	-31.4%
Population change (2000 to 2020)	-31.0%
Median Age	38 years (Male: 35.9, Female: 40.6)
GDP per capita (PPP)	$17,740 (2022)
Local Time
Timezone	Central European Summer Time
Lat & Lng	47.73333, 20.26667
Postal Codes	3350

Map of Kál

Interactive Map

Kál Population

Years 1975 to 2030

Data	1975	1990	2000	2015	2020	2025*	2030*
Population	4,786	5,051	4,761	4,248	3,284	3,258	3,127
Population Density	1,215.5 / km²	1,282.8 / km²	1,209.1 / km²	1,078.9 / km²	834 / km²	827.4 / km²	794.2 / km²

* Projected

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kál Population change from 2000 to 2020

Decrease of 31% from year 2000 to 2020

Location	Change since 1975	Change since 1990	Change since 2000
Kál	-31.4%	-35%	-31%
Heves County	—	—	—
Hungary	—	—	—

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kál Median Age

Median Age: 38 years

Location	Median Age	Median Age (Female)	Median Age (Male)
Kál	38 yrs	40.6 yrs	35.9 yrs
Heves County	42.2 yrs	45.3 yrs	39.4 yrs
Hungary	40.8 yrs	43.2 yrs	38.6 yrs

Sources: CIESIN (Center for International Earth Science Information Network)

Kál Population Density

Population Density: 834 / km²

Location	Population	Area	Density
Kál	3,284	3.938 km²	834 / km²
Heves County	305,514	3,637 km²	84 / km²
Hungary	9.8 million	93,010.9 km²	106 / km²

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kál Historical and Projected Population

Estimated Population from 0 to 2100

Sources:

JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
CIESIN (Center for International Earth Science Information Network)
[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 Kál

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

Kál Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data	1990	1995	2000	2005	2010	2015	2020	2022
GDP per capita	$9,326	$9,000	$9,320	$12,731	$10,874	$13,347	$15,526	$17,740
Total GDP	$30.7M	$30.2M	$31.6M	$43M	$37M	$45.3M	$52.7M	$60.4M

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

Kál CO2 Emissions

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

Location	CO2 Emissions	CO2 Emissions Per Capita	CO2 Emissions Intensity
Kál	17,103 tn	5.21 tn	4,343.6 tons/km²
Heves County	1,520,839 tn	4.98 tn	418.2 tons/km²
Hungary	48,384,016 tn	4.92 tn	520.2 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

Kál CO2 Emissions

2013 CO2 emissions (tonnes/year)	17,103 tn
2013 CO2 emissions (tonnes/year) per capita	5.21 tn
2013 CO2 emissions intensity (tonnes/km²/year)	4,343.6 tons/km²

Natural Hazards Risk

Relative risk out of 10

Hazard	Risk Level
Flood	Medium (7)
Earthquake	Low (2)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:

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.
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.
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

Date▼	Time↕	Magnitude↕	Distance↕	Depth↕	Location↕	Link
1/19/14	1:34 AM	4	77.3 km	3,100 m	4km ESE of Balassagyarmat, Hungary	usgs.gov
6/5/13	6:45 PM	4.1	82.9 km	6,200 m	4km ENE of Ersekvadkert, Hungary	usgs.gov
4/22/13	10:28 PM	4.4	12.5 km	13,000 m	1km WNW of Heves, Hungary	usgs.gov
12/31/06	1:39 PM	4.1	76.3 km	5,200 m	Hungary	usgs.gov
9/15/06	9:02 PM	3.1	49.7 km	10,000 m	Hungary	usgs.gov
7/13/03	2:29 AM	3.4	42.7 km	10,000 m	Hungary	usgs.gov
7/1/03	11:26 AM	3.2	46.5 km	10,000 m	Hungary	usgs.gov
6/21/03	8:05 PM	3.8	37.3 km	10,000 m	Hungary	usgs.gov
10/23/02	2:52 AM	4	24.9 km	10,000 m	Hungary	usgs.gov
10/12/02	6:49 PM	3.4	29.5 km	5,000 m	Hungary	usgs.gov

Source: U.S. Geological Survey (USGS)

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.