Information about the municipality city Lichtenau:

Information about the municipality city Lichtenau:

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

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Population numbers in the municipality city Lichtenau 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 Lichtenau
Map of District Paderborn with the population per municipality.Municipality Lichtenau 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 Paderborn with the population per municipality.Municipality Lichtenau is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Hövelhof, 2: municipality city Bad Lippspringe, 3: municipality city Delbrück, 4: municipality Altenbeken, 5: municipality city Paderborn, 6: municipality city Salzkotten, 7: municipality Borchen, 8: municipality city Lichtenau, 9: municipality city Büren, 10: municipality city Bad Wünnenberg.

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

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Municipality city Lichtenau, 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 Lichtenau

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Municipality city Lichtenau, 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 Lichtenau.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses7Number2017
Active persons719Number2017
Gross wages€29.118Euro2017
DwellingsValueUnitYear
Houses 1 room21Number2019
Houses 2 rooms145Number2019
Houses 3 rooms442Number2019
Houses 4 rooms686Number2019
Houses 5 rooms1.222Number2019
Houses 6 rooms774Number2019
Houses 7+ rooms 1.218Number2019
Houses 1-2 rooms166Number2019
Houses 3-4 rooms1.128Number2019
Houses 5+ rooms3.214Number2019
1-2 rooms4%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms71%Percentage2019
ElectionsValueUnitYear
Voters Bundestag8437,00Number2017
Voter turnout Bundestag81Number2017
Votes valid Bundestag6.807Number2017
Votes Bundestag CDU/CSU2.976Number2017
Votes Bundestag SPD1.351Number2017
Votes Bundestag GRÜNE377Number2017
Votes Bundestag FDP930Number2017
Votes Bundestag DIE LINKE345Number2017
Votes Bundestag AfD623Number2017
Votes Bundestag other parties205Number2017
Votes Bundestag total6.807Number2017
% Votes Bundestag CDU/CSU35%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP11%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees4.398Number2019
Employees male2.516Number2019
Employees female1.882Number2019
Employees foreigner157Number2019
Employees male foreigner111Number2019
Employees female foreigner46Number2019
Unemployed184Number2018
Unemployed foreigners29Number2018
Unemployed severely disabled23Number2018
Unemployed 15-204Number2018
Unemployed 15-2519Number2018
Unemployed 55-6565Number2018
Unemployed long-term56Number2018
% 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 receivers4.869Number2015
Income total€188.646Euro2015
Income tax€29.614Euro2015
PopulationValueUnitYear
Population10.632Number2019
Men5.444Number2019
Women5.188Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-181.965Number2019
18-301.391Number2019
30-451.854Number2019
45-602.644Number2019
18-605.889Number2019
60-751.761Number2019
60+2.778Number2019
Average age43Average number2019
Average age male43Average number2019
Average age female44Average number2019
Births98Number2018
Births male57Number2018
Births female41Number2018
1K Births9Number per 1000 inhabitants2018
Deaths114Number2018
Deaths male58Number2018
Deaths female56Number2018
1K Deaths11Number2018
0-3309Number2019
Girls 0-3144Number2019
Boys 0-3165Number2019
3-6302Number2019
Girls 3-6157Number2019
Boys 3-6145Number2019
6-10426Number2019
10-15574Number2019
15-18354Number2019
18-20260Number2019
20-25583Number2019
25-30548Number2019
30-35575Number2019
35-40668Number2019
40-45611Number2019
45-50719Number2019
50-55960Number2019
55-60965Number2019
60-65767Number2019
65-75994Number2019
Women 65-70475Number2019
Men 65-70519Number2019
75+1.017Number2019
Women 75+589Number2019
Men 75+428Number2019
% 0-1010%Percentage2019
% 10-189%Percentage2019
% 18-3013%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+26%Percentage2019
Real estateValueUnitYear
Property tax A revenue€254.701Euro2018
Property tax B revenue€1.482.984Euro2018
Trade tax actual revenue€5.512.541Euro2018
Property tax A basic amount€79.594Euro2018
Property tax B basic amount€320.299Euro2018
Trade tax basic amount€1.279.012Euro2018
Property tax A rate€320Euro2018
Property tax B rate€463Euro2018
Trade tax rate€431Euro2018
Real tax raising force€6.925.307Euro2018
Trade tax levy€928.566Euro2018
Trade tax net€4.583.975Euro2018
Community share in income tax€4.947.291Euro2018
Community share in sales tax€473.630Euro2018
Tax revenue€11.417.662Euro2018
RegionalValueUnitYear
Region code057740028028Code2019
Region code 8 digits05774028Code05774028
Sorting code057740028028Code057740028028
Sorting code 8 digits05774028Code05774028
Region nameLichtenauName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city LichtenauName2019
Region name in GermanGemeinde Stadt LichtenauName2019
Direct subregionsno dataNumber2019
NUTS codeDEA47Code2019
Area193Area in km²2019
ReligionValueUnitYear
Roman Catholic church7.682Number2011
Protestant church1.340Number2011
Other or none1.452Number2011
% Roman Catholic church73%Percentage2011
% Protestant church13%Percentage2011
% Other or none14%Percentage2011
Roman Catholic church German7.633Number2011
Protestant church German1.334Number2011
Other or none German1.324Number2011
% Roman Catholic church German74%Percentage2011
% Protestant church German13%Percentage2011
% Other or none German Foreign13%Percentage2011
Roman Catholic church Foreign49Number2011
Protestant church Foreign6Number2011
Other or none Foreign128Number2011
% Roman Catholic church Foreign27%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign70%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.