Information about the independent city district Gelsenkirchen:

View the information on over 100 topics about the independent city district Gelsenkirchen! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the independent city district Gelsenkirchen! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the independent city district Gelsenkirchen

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Population numbers in the independent city district Gelsenkirchen for the years 2009 thru 2019.

The number of inhabitants is the number of persons as registered in the population register on January 1st.

Population at the map of Gelsenkirchen
Map of State North Rhine-Westphalia with the population per district.District Gelsenkirchen is highlighted with a red edge.. This page shows a lot of information about residents (such as the distribution by age groups, family composition, gender, native or German with an immigration background, ...), homes (numbers, types, price development, use, type of property, ...) and more (car ownership, energy consumption, ...) based on open data from the German Federal Agency for Cartography, the Federal Statistical Office (DESTATIS), the Regional Statistical Offices and various other sources!

Map of State North Rhine-Westphalia with the population per district.District Gelsenkirchen is highlighted with a red edge. The numbers at the map represent the following districts: 1: district Minden-Lübbecke, 2: district Steinfurt, 3: district Herford, 4: independent city district Bielefeld, 5: district Lyppe ...Show more... Map of State North Rhine-Westphalia with the population per district.District Gelsenkirchen is highlighted with a red edge. The numbers at the map represent the following districts: 1: district Minden-Lübbecke, 2: district Steinfurt, 3: district Herford, 4: independent city district Bielefeld, 5: district Lyppe, 6: district Borken, 7: independent city district Münster, 8: district Gütersloh, 9: district Warendorf, 10: district Coesfeld, 11: district Höxter, 12: district Recklinghausen, 13: independent city district Hamm, 14: district Paderborn, 15: district Cleves, 16: district Wesel, 17: district Unna, 18: independent city district Bottrop, 19: district Soest, 20: independent city district Gelsenkirchen, 21: independent city district Herne, 22: independent city district Dortmund, 23: independent city district Oberhausen, 24: independent city district Bochum, 25: independent city district Duisburg, 26: independent city district Essen, 27: independent city district Mülheim an der Ruhr, 28: independent city district Hagen, 29: district Ennepe-Ruhr-Kreis, 30: independent city district Krefeld, 31: district Hochsauerlandkreis, 32: district Viersen, 33: district Märkischer Kreis, 34: district Mettmann, 35: independent city district Wuppertal, 36: independent city district Düsseldorf, 37: independent city district Remscheid, 38: independent city district Mönchengladbach, 39: independent city district Solingen, 40: district Rhein-Kreis Neuss, 41: district Olpe, 42: independent city district Leverkusen, 43: district Heinsberg, 44: district Rheinisch-Bergischer Kreis, 45: district Oberbergischer Kreis, 46: independent city district Cologne, 47: district Siegen-Wittgenstein, 48: district Rhein-Erft-Kreis, 49: district Düren, 50: district Rhein-Sieg-Kreis, 51: district Städteregion Aachen, 52: independent city district Bonn, 53: district Euskirchen ...Show less...

Population per age group
The percentage of inhabitants per age group in the independent city district Gelsenkirchen

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Independent city district Gelsenkirchen, 2019, age groups.

Population, age groups: percentage of inhabitants per age category.

The number of rooms per house (dwelling)
The number of rooms of the houses in the independent city district Gelsenkirchen

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Independent city district Gelsenkirchen, 2019, number of rooms per house.

The percentage shows the relative share of houses per category based on the numer of rooms: 1 to 2 rooms, 3 to 4 rooms or 5 rooms or more. This is based on the total number of rooms as identified for all dwellings in the independent city district Gelsenkirchen.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the independent city district Gelsenkirchen. Select a category to display the related topics:

BusinessValueUnitYear
Businesses79Number2017
Active persons8.529Number2017
Gross wages€490.802Euro2017
DwellingsValueUnitYear
Houses 1 room2.522Number2019
Houses 2 rooms17.557Number2019
Houses 3 rooms45.271Number2019
Houses 4 rooms45.494Number2019
Houses 5 rooms16.390Number2019
Houses 6 rooms7.252Number2019
Houses 7+ rooms 4.703Number2019
Houses 1-2 rooms20.079Number2019
Houses 3-4 rooms90.765Number2019
Houses 5+ rooms28.345Number2019
1-2 rooms14%Percentage2019
3-4 rooms65%Percentage2019
5+ rooms20%Percentage2019
ElectionsValueUnitYear
Voters Bundestag175210,00Number2017
Voter turnout Bundestag68Number2017
Votes valid Bundestag118.066Number2017
Votes Bundestag CDU/CSU26.452Number2017
Votes Bundestag SPD39.524Number2017
Votes Bundestag GRÜNE5.489Number2017
Votes Bundestag FDP10.834Number2017
Votes Bundestag DIE LINKE8.703Number2017
Votes Bundestag AfD20.113Number2017
Votes Bundestag other parties6.951Number2017
Votes Bundestag total118.066Number2017
% Votes Bundestag CDU/CSU15%Percentage2017
% Votes Bundestag SPD23%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees85.053Number2019
Employees male48.472Number2019
Employees female36.581Number2019
Employees foreigner13.157Number2019
Employees male foreigner9.111Number2019
Employees female foreigner4.046Number2019
Unemployed16.917Number2018
Unemployed foreigners6.151Number2018
Unemployed severely disabled1.122Number2018
Unemployed 15-20290Number2018
Unemployed 15-251.492Number2018
Unemployed 55-652.772Number2018
Unemployed long-term7.454Number2018
% Unemployed6%Percentage2018
% Unemployed foreigners2%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-251%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term3%Percentage of the population2018
IncomeValueUnitYear
Income receivers107.064Number2015
Income total€3.214.031Euro2015
Income tax€487.178Euro2015
PopulationValueUnitYear
Population260.654Number2019
Men129.778Number2019
Women130.876Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1845.884Number2019
18-3038.172Number2019
30-4547.168Number2019
45-6058.056Number2019
18-60143.396Number2019
60-7543.319Number2019
60+71.374Number2019
Average age44Average number2019
Average age male42Average number2019
Average age female45Average number2019
Births2.725Number2018
Births male1.396Number2018
Births female1.329Number2018
1K Births10Number per 1000 inhabitants2018
Deaths3.465Number2018
Deaths male1.631Number2018
Deaths female1.834Number2018
1K Deaths13Number2018
0-38.270Number2019
Girls 0-34.014Number2019
Boys 0-34.256Number2019
3-67.641Number2019
Girls 3-63.683Number2019
Boys 3-63.958Number2019
6-109.810Number2019
10-1512.409Number2019
15-187.754Number2019
18-205.690Number2019
20-2515.232Number2019
25-3017.250Number2019
30-3516.416Number2019
35-4015.519Number2019
40-4515.233Number2019
45-5017.729Number2019
50-5520.448Number2019
55-6019.879Number2019
60-6517.649Number2019
65-7525.670Number2019
Women 65-7013.478Number2019
Men 65-7012.192Number2019
75+28.055Number2019
Women 75+17.284Number2019
Men 75+10.771Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-3015%Percentage2019
% 30-4518%Percentage2019
% 45-6022%Percentage2019
% 60+27%Percentage2019
Real estateValueUnitYear
Property tax A revenue€40.953Euro2018
Property tax B revenue€37.151.892Euro2018
Trade tax actual revenue€129.065.091Euro2018
Property tax A basic amount€15.001Euro2018
Property tax B basic amount€6.816.861Euro2018
Trade tax basic amount€26.888.561Euro2018
Property tax A rate€273Euro2018
Property tax B rate€545Euro2018
Trade tax rate€480Euro2018
Real tax raising force€140.356.548Euro2018
Trade tax levy€19.525.271Euro2018
Trade tax net€109.539.820Euro2018
Community share in income tax€88.246.759Euro2018
Community share in sales tax€20.025.321Euro2018
Tax revenue€229.103.357Euro2018
RegionalValueUnitYear
Region code05513Code2019
Region code 8 digits05513Code05513
Sorting code055130000000Code055130000000
Sorting code 8 digits05513000Code05513000
Region nameGelsenkirchenName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailindependent city districtCategorical type2019
Region name with typeindependent city district GelsenkirchenName2019
Region name in GermanKreisfreie Stadt GelsenkirchenName2019
Direct subregions1Number2019
NUTS codeDEA32Code2019
Area105Area in km²2019
ReligionValueUnitYear
Roman Catholic church87.144Number2011
Protestant church77.787Number2011
Other or none93.835Number2011
% Roman Catholic church34%Percentage2011
% Protestant church30%Percentage2011
% Other or none36%Percentage2011
Roman Catholic church German81.828Number2011
Protestant church German77.376Number2011
Other or none German65.141Number2011
% Roman Catholic church German36%Percentage2011
% Protestant church German34%Percentage2011
% Other or none German Foreign29%Percentage2011
Roman Catholic church Foreign5.316Number2011
Protestant church Foreign411Number2011
Other or none Foreign28.694Number2011
% Roman Catholic church Foreign15%Percentage2011
% Protestant church Foreign1%Percentage2011
% Other or none Foreign83%Percentage2011
Open data sources used

Data is used from multiple German open data providers. See this description of the sources with the definitions of all regional topics.

Sources & definitions
Under development
Work is in progress to add more information to this page

This page will be further expanded with more topics in clear graphs. This will be done in several iterations in the coming weeks.

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