Information about the independent city district Duisburg:

Information about the independent city district Duisburg:

View the information on over 100 topics about the independent city district Duisburg! 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 Duisburg! 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 Duisburg

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Population numbers in the independent city district Duisburg 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 Duisburg
Map of State North Rhine-Westphalia with the population per district.District Duisburg 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 Duisburg 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 Duisburg 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 Duisburg

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Independent city district Duisburg, 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 Duisburg

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Independent city district Duisburg, 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 Duisburg.

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 Duisburg. Select a category to display the related topics:

BusinessValueUnitYear
Businesses145Number2017
Active persons33.123Number2017
Gross wages€1.792.061Euro2017
DwellingsValueUnitYear
Houses 1 room8.306Number2019
Houses 2 rooms43.763Number2019
Houses 3 rooms83.511Number2019
Houses 4 rooms70.061Number2019
Houses 5 rooms28.087Number2019
Houses 6 rooms13.706Number2019
Houses 7+ rooms 9.936Number2019
Houses 1-2 rooms52.069Number2019
Houses 3-4 rooms153.572Number2019
Houses 5+ rooms51.729Number2019
1-2 rooms20%Percentage2019
3-4 rooms60%Percentage2019
5+ rooms20%Percentage2019
ElectionsValueUnitYear
Voters Bundestag328202,00Number2017
Voter turnout Bundestag69Number2017
Votes valid Bundestag221.408Number2017
Votes Bundestag CDU/CSU53.576Number2017
Votes Bundestag SPD72.620Number2017
Votes Bundestag GRÜNE12.337Number2017
Votes Bundestag FDP20.860Number2017
Votes Bundestag DIE LINKE18.915Number2017
Votes Bundestag AfD29.343Number2017
Votes Bundestag other parties13.757Number2017
Votes Bundestag total221.408Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD22%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE6%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees174.739Number2019
Employees male101.255Number2019
Employees female73.484Number2019
Employees foreigner31.818Number2019
Employees male foreigner22.272Number2019
Employees female foreigner9.546Number2019
Unemployed29.072Number2018
Unemployed foreigners11.675Number2018
Unemployed severely disabled2.038Number2018
Unemployed 15-20558Number2018
Unemployed 15-252.522Number2018
Unemployed 55-654.885Number2018
Unemployed long-term12.872Number2018
% 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 receivers224.935Number2015
Income total€6.673.447Euro2015
Income tax€1.018.004Euro2015
PopulationValueUnitYear
Population498.590Number2019
Men246.588Number2019
Women252.002Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1885.329Number2019
18-3076.253Number2019
30-4592.741Number2019
45-60110.875Number2019
18-60279.869Number2019
60-7578.466Number2019
60+133.392Number2019
Average age44Average number2019
Average age male42Average number2019
Average age female45Average number2019
Births5.180Number2018
Births male2.694Number2018
Births female2.486Number2018
1K Births10Number per 1000 inhabitants2018
Deaths6.122Number2018
Deaths male3.009Number2018
Deaths female3.113Number2018
1K Deaths12Number2018
0-315.571Number2019
Girls 0-37.483Number2019
Boys 0-38.088Number2019
3-614.251Number2019
Girls 3-66.822Number2019
Boys 3-67.429Number2019
6-1018.160Number2019
10-1522.935Number2019
15-1814.412Number2019
18-2010.590Number2019
20-2530.664Number2019
25-3034.999Number2019
30-3532.554Number2019
35-4030.690Number2019
40-4529.497Number2019
45-5033.651Number2019
50-5539.740Number2019
55-6037.484Number2019
60-6531.768Number2019
65-7546.698Number2019
Women 65-7025.076Number2019
Men 65-7021.622Number2019
75+54.926Number2019
Women 75+33.271Number2019
Men 75+21.655Number2019
% 0-1010%Percentage2019
% 10-187%Percentage2019
% 18-3015%Percentage2019
% 30-4519%Percentage2019
% 45-6022%Percentage2019
% 60+27%Percentage2019
Real estateValueUnitYear
Property tax A revenue€106.519Euro2018
Property tax B revenue€130.330.690Euro2018
Trade tax actual revenue€246.610.094Euro2018
Property tax A basic amount€40.969Euro2018
Property tax B basic amount€15.243.356Euro2018
Trade tax basic amount€47.425.018Euro2018
Property tax A rate€260Euro2018
Property tax B rate€855Euro2018
Trade tax rate€520Euro2018
Real tax raising force€262.813.838Euro2018
Trade tax levy€34.483.628Euro2018
Trade tax net€212.126.466Euro2018
Community share in income tax€189.762.790Euro2018
Community share in sales tax€46.069.650Euro2018
Tax revenue€464.162.650Euro2018
RegionalValueUnitYear
Region code05112Code2019
Region code 8 digits05112Code05112
Sorting code051120000000Code051120000000
Sorting code 8 digits05112000Code05112000
Region nameDuisburgName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailindependent city districtCategorical type2019
Region name with typeindependent city district DuisburgName2019
Region name in GermanKreisfreie Stadt DuisburgName2019
Direct subregions1Number2019
NUTS codeDEA12Code2019
Area233Area in km²2019
ReligionValueUnitYear
Roman Catholic church151.421Number2011
Protestant church126.913Number2011
Other or none210.134Number2011
% Roman Catholic church31%Percentage2011
% Protestant church26%Percentage2011
% Other or none43%Percentage2011
Roman Catholic church German142.014Number2011
Protestant church German125.584Number2011
Other or none German147.973Number2011
% Roman Catholic church German34%Percentage2011
% Protestant church German30%Percentage2011
% Other or none German Foreign36%Percentage2011
Roman Catholic church Foreign9.407Number2011
Protestant church Foreign1.329Number2011
Other or none Foreign62.161Number2011
% Roman Catholic church Foreign13%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign85%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.