Information about the municipality city Bedburg:

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

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Population numbers in the municipality city Bedburg 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 Bedburg
Map of District Rhein-Erft-Kreis with the population per municipality.Municipality Bedburg 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 District Rhein-Erft-Kreis with the population per municipality.Municipality Bedburg is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bedburg, 2: municipality city Pulheim, 3: municipality city Bergheim, 4: municipality city Elsdorf, 5: municipality city Frechen, 6: municipality city Kerpen, 7: municipality city Hürth, 8: municipality city Brühl, 9: municipality city Wesseling, 10: municipality city Erftstadt.

Population per age group
The percentage of inhabitants per age group in the municipality city Bedburg

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Municipality city Bedburg, 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 municipality city Bedburg

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Municipality city Bedburg, 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 municipality city Bedburg.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses8Number2017
Active persons237Number2017
Gross wages€9.048Euro2017
DwellingsValueUnitYear
Houses 1 room123Number2019
Houses 2 rooms570Number2019
Houses 3 rooms1.892Number2019
Houses 4 rooms2.654Number2019
Houses 5 rooms2.293Number2019
Houses 6 rooms1.780Number2019
Houses 7+ rooms 1.617Number2019
Houses 1-2 rooms693Number2019
Houses 3-4 rooms4.546Number2019
Houses 5+ rooms5.690Number2019
1-2 rooms6%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms52%Percentage2019
ElectionsValueUnitYear
Voters Bundestag18142,00Number2017
Voter turnout Bundestag76Number2017
Votes valid Bundestag13.748Number2017
Votes Bundestag CDU/CSU5.112Number2017
Votes Bundestag SPD3.885Number2017
Votes Bundestag GRÜNE539Number2017
Votes Bundestag FDP1.844Number2017
Votes Bundestag DIE LINKE616Number2017
Votes Bundestag AfD1.296Number2017
Votes Bundestag other parties456Number2017
Votes Bundestag total13.748Number2017
% Votes Bundestag CDU/CSU28%Percentage2017
% Votes Bundestag SPD21%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP10%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees9.534Number2019
Employees male5.437Number2019
Employees female4.097Number2019
Employees foreigner944Number2019
Employees male foreigner663Number2019
Employees female foreigner281Number2019
Unemployed779Number2018
Unemployed foreigners190Number2018
Unemployed severely disabled78Number2018
Unemployed 15-2011Number2018
Unemployed 15-2571Number2018
Unemployed 55-65223Number2018
Unemployed long-term349Number2018
% Unemployed3%Percentage2018
% Unemployed foreigners1%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-250%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers11.976Number2015
Income total€465.765Euro2015
Income tax€78.220Euro2015
PopulationValueUnitYear
Population23.531Number2019
Men11.840Number2019
Women11.691Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-183.825Number2019
18-302.973Number2019
30-454.285Number2019
45-605.998Number2019
18-6013.256Number2019
60-754.203Number2019
60+6.450Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female46Average number2019
Births193Number2018
Births male99Number2018
Births female94Number2018
1K Births8Number per 1000 inhabitants2018
Deaths294Number2018
Deaths male129Number2018
Deaths female165Number2018
1K Deaths12Number2018
0-3697Number2019
Girls 0-3332Number2019
Boys 0-3365Number2019
3-6634Number2019
Girls 3-6298Number2019
Boys 3-6336Number2019
6-10795Number2019
10-151.020Number2019
15-18679Number2019
18-20489Number2019
20-251.234Number2019
25-301.250Number2019
30-351.411Number2019
35-401.436Number2019
40-451.438Number2019
45-501.705Number2019
50-552.183Number2019
55-602.110Number2019
60-651.749Number2019
65-752.454Number2019
Women 65-701.250Number2019
Men 65-701.204Number2019
75+2.247Number2019
Women 75+1.334Number2019
Men 75+913Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3013%Percentage2019
% 30-4518%Percentage2019
% 45-6025%Percentage2019
% 60+27%Percentage2019
Real estateValueUnitYear
Property tax A revenue€276.955Euro2018
Property tax B revenue€5.521.406Euro2018
Trade tax actual revenue€7.601.481Euro2018
Property tax A basic amount€67.550Euro2018
Property tax B basic amount€876.414Euro2018
Trade tax basic amount€1.535.653Euro2018
Property tax A rate€410Euro2018
Property tax B rate€630Euro2018
Trade tax rate€495Euro2018
Real tax raising force€10.542.963Euro2018
Trade tax levy€1.114.073Euro2018
Trade tax net€6.487.408Euro2018
Community share in income tax€13.590.547Euro2018
Community share in sales tax€1.108.579Euro2018
Tax revenue€24.128.016Euro2018
RegionalValueUnitYear
Region code053620004004Code2019
Region code 8 digits05362004Code05362004
Sorting code053620004004Code053620004004
Sorting code 8 digits05362004Code05362004
Region nameBedburgName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city BedburgName2019
Region name in GermanGemeinde Stadt BedburgName2019
Direct subregionsno dataNumber2019
NUTS codeDEA27Code2019
Area80Area in km²2019
ReligionValueUnitYear
Roman Catholic church14.955Number2011
Protestant church3.139Number2011
Other or none4.943Number2011
% Roman Catholic church65%Percentage2011
% Protestant church14%Percentage2011
% Other or none21%Percentage2011
Roman Catholic church German14.227Number2011
Protestant church German3.120Number2011
Other or none German4.008Number2011
% Roman Catholic church German67%Percentage2011
% Protestant church German15%Percentage2011
% Other or none German Foreign19%Percentage2011
Roman Catholic church Foreign728Number2011
Protestant church Foreign19Number2011
Other or none Foreign935Number2011
% Roman Catholic church Foreign43%Percentage2011
% Protestant church Foreign1%Percentage2011
% Other or none Foreign56%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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