Information about the municipality city Beverungen:

View the information on over 100 topics about the municipality city Beverungen! 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 Beverungen! 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 Beverungen

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Population numbers in the municipality city Beverungen 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 Beverungen
Map of District Höxter with the population per municipality.Municipality Beverungen 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 Höxter with the population per municipality.Municipality Beverungen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Steinheim, 2: municipality city Marienmünster, 3: municipality city Nieheim, 4: municipality city Höxter, 5: municipality city Bad Driburg, 6: municipality city Brakel, 7: municipality city Beverungen, 8: municipality city Willebadessen, 9: municipality city Borgentreich, 10: municipality city Warburg.

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

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Municipality city Beverungen, 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 Beverungen

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Municipality city Beverungen, 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 Beverungen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses6Number2017
Active persons639Number2017
Gross wages€29.206Euro2017
DwellingsValueUnitYear
Houses 1 room40Number2019
Houses 2 rooms218Number2019
Houses 3 rooms906Number2019
Houses 4 rooms1.408Number2019
Houses 5 rooms1.213Number2019
Houses 6 rooms1.187Number2019
Houses 7+ rooms 1.611Number2019
Houses 1-2 rooms258Number2019
Houses 3-4 rooms2.314Number2019
Houses 5+ rooms4.011Number2019
1-2 rooms4%Percentage2019
3-4 rooms35%Percentage2019
5+ rooms61%Percentage2019
ElectionsValueUnitYear
Voters Bundestag10787,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag8.243Number2017
Votes Bundestag CDU/CSU3.696Number2017
Votes Bundestag SPD1.862Number2017
Votes Bundestag GRÜNE403Number2017
Votes Bundestag FDP989Number2017
Votes Bundestag DIE LINKE463Number2017
Votes Bundestag AfD632Number2017
Votes Bundestag other parties198Number2017
Votes Bundestag total8.243Number2017
% Votes Bundestag CDU/CSU34%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees4.939Number2019
Employees male2.785Number2019
Employees female2.154Number2019
Employees foreigner220Number2019
Employees male foreigner166Number2019
Employees female foreigner54Number2019
Unemployed315Number2018
Unemployed foreigners46Number2018
Unemployed severely disabled25Number2018
Unemployed 15-203Number2018
Unemployed 15-2531Number2018
Unemployed 55-6578Number2018
Unemployed long-term115Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners0%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 receivers6.068Number2015
Income total€199.331Euro2015
Income tax€28.703Euro2015
PopulationValueUnitYear
Population13.115Number2019
Men6.456Number2019
Women6.659Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-182.074Number2019
18-301.584Number2019
30-451.919Number2019
45-603.273Number2019
18-606.776Number2019
60-752.526Number2019
60+4.265Number2019
Average age47Average number2019
Average age male46Average number2019
Average age female48Average number2019
Births112Number2018
Births male52Number2018
Births female60Number2018
1K Births9Number per 1000 inhabitants2018
Deaths168Number2018
Deaths male96Number2018
Deaths female72Number2018
1K Deaths13Number2018
0-3308Number2019
Girls 0-3162Number2019
Boys 0-3146Number2019
3-6319Number2019
Girls 3-6156Number2019
Boys 3-6163Number2019
6-10445Number2019
10-15579Number2019
15-18423Number2019
18-20295Number2019
20-25665Number2019
25-30624Number2019
30-35626Number2019
35-40631Number2019
40-45662Number2019
45-50891Number2019
50-551.202Number2019
55-601.180Number2019
60-65997Number2019
65-751.529Number2019
Women 65-70781Number2019
Men 65-70748Number2019
75+1.739Number2019
Women 75+1.033Number2019
Men 75+706Number2019
% 0-108%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4515%Percentage2019
% 45-6025%Percentage2019
% 60+33%Percentage2019
Real estateValueUnitYear
Property tax A revenue€101.629Euro2018
Property tax B revenue€1.923.135Euro2018
Trade tax actual revenue€5.274.709Euro2018
Property tax A basic amount€36.956Euro2018
Property tax B basic amount€448.283Euro2018
Trade tax basic amount€1.271.014Euro2018
Property tax A rate€275Euro2018
Property tax B rate€429Euro2018
Trade tax rate€415Euro2018
Real tax raising force€7.352.979Euro2018
Trade tax levy€922.756Euro2018
Trade tax net€4.351.953Euro2018
Community share in income tax€4.988.858Euro2018
Community share in sales tax€707.369Euro2018
Tax revenue€12.126.450Euro2018
RegionalValueUnitYear
Region code057620008008Code2019
Region code 8 digits05762008Code05762008
Sorting code057620008008Code057620008008
Sorting code 8 digits05762008Code05762008
Region nameBeverungenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city BeverungenName2019
Region name in GermanGemeinde Stadt BeverungenName2019
Direct subregionsno dataNumber2019
NUTS codeDEA44Code2019
Area98Area in km²2019
ReligionValueUnitYear
Roman Catholic church8.717Number2011
Protestant church3.011Number2011
Other or none2.139Number2011
% Roman Catholic church63%Percentage2011
% Protestant church22%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German8.554Number2011
Protestant church German3.002Number2011
Other or none German1.906Number2011
% Roman Catholic church German64%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign163Number2011
Protestant church Foreign9Number2011
Other or none Foreign233Number2011
% Roman Catholic church Foreign40%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign58%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.