Information about the municipality city Löhne:

Information about the municipality city Löhne:

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

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Population numbers in the municipality city Löhne 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 Löhne
Map of District Herford with the population per municipality.Municipality Löhne 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 Herford with the population per municipality.Municipality Löhne is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Rödinghausen, 2: municipality Kirchlengern, 3: municipality city Bünde, 4: municipality city Löhne, 5: municipality Hiddenhausen, 6: municipality city Vlotho, 7: municipality city Enger, 8: municipality city Spenge, 9: municipality city Herford.

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

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Municipality city Löhne, 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 Löhne

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Municipality city Löhne, 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 Löhne.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses41Number2017
Active persons4.694Number2017
Gross wages€172.320Euro2017
DwellingsValueUnitYear
Houses 1 room211Number2019
Houses 2 rooms847Number2019
Houses 3 rooms3.476Number2019
Houses 4 rooms4.895Number2019
Houses 5 rooms4.083Number2019
Houses 6 rooms2.850Number2019
Houses 7+ rooms 2.911Number2019
Houses 1-2 rooms1.058Number2019
Houses 3-4 rooms8.371Number2019
Houses 5+ rooms9.844Number2019
1-2 rooms5%Percentage2019
3-4 rooms43%Percentage2019
5+ rooms51%Percentage2019
ElectionsValueUnitYear
Voters Bundestag30324,00Number2017
Voter turnout Bundestag72Number2017
Votes valid Bundestag21.670Number2017
Votes Bundestag CDU/CSU6.668Number2017
Votes Bundestag SPD6.618Number2017
Votes Bundestag GRÜNE1.373Number2017
Votes Bundestag FDP2.291Number2017
Votes Bundestag DIE LINKE1.594Number2017
Votes Bundestag AfD2.340Number2017
Votes Bundestag other parties786Number2017
Votes Bundestag total21.670Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD22%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees16.627Number2019
Employees male9.058Number2019
Employees female7.569Number2019
Employees foreigner1.561Number2019
Employees male foreigner1.064Number2019
Employees female foreigner497Number2019
Unemployed1.138Number2018
Unemployed foreigners268Number2018
Unemployed severely disabled83Number2018
Unemployed 15-2017Number2018
Unemployed 15-25114Number2018
Unemployed 55-65290Number2018
Unemployed long-term399Number2018
% 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 receivers18.466Number2015
Income total€678.672Euro2015
Income tax€110.676Euro2015
PopulationValueUnitYear
Population39.697Number2019
Men19.518Number2019
Women20.179Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-186.559Number2019
18-305.144Number2019
30-456.799Number2019
45-609.807Number2019
18-6021.750Number2019
60-756.549Number2019
60+11.388Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female47Average number2019
Births344Number2018
Births male187Number2018
Births female157Number2018
1K Births9Number per 1000 inhabitants2018
Deaths517Number2018
Deaths male242Number2018
Deaths female275Number2018
1K Deaths13Number2018
0-31.067Number2019
Girls 0-3514Number2019
Boys 0-3553Number2019
3-61.044Number2019
Girls 3-6491Number2019
Boys 3-6553Number2019
6-101.400Number2019
10-151.849Number2019
15-181.199Number2019
18-20876Number2019
20-252.071Number2019
25-302.197Number2019
30-352.202Number2019
35-402.316Number2019
40-452.281Number2019
45-502.789Number2019
50-553.615Number2019
55-603.403Number2019
60-652.580Number2019
65-753.969Number2019
Women 65-702.107Number2019
Men 65-701.862Number2019
75+4.839Number2019
Women 75+2.914Number2019
Men 75+1.925Number2019
% 0-109%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+29%Percentage2019
Real estateValueUnitYear
Property tax A revenue€101.331Euro2018
Property tax B revenue€7.386.114Euro2018
Trade tax actual revenue€24.686.642Euro2018
Property tax A basic amount€37.118Euro2018
Property tax B basic amount€1.507.370Euro2018
Trade tax basic amount€5.727.759Euro2018
Property tax A rate€273Euro2018
Property tax B rate€490Euro2018
Trade tax rate€431Euro2018
Real tax raising force€30.274.609Euro2018
Trade tax levy€4.318.417Euro2018
Trade tax net€20.368.225Euro2018
Community share in income tax€17.535.044Euro2018
Community share in sales tax€3.075.874Euro2018
Tax revenue€46.567.110Euro2018
RegionalValueUnitYear
Region code057580024024Code2019
Region code 8 digits05758024Code05758024
Sorting code057580024024Code057580024024
Sorting code 8 digits05758024Code05758024
Region nameLöhneName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city LöhneName2019
Region name in GermanGemeinde Stadt LöhneName2019
Direct subregionsno dataNumber2019
NUTS codeDEA43Code2019
Area60Area in km²2019
ReligionValueUnitYear
Roman Catholic church3.377Number2011
Protestant church24.474Number2011
Other or none11.820Number2011
% Roman Catholic church9%Percentage2011
% Protestant church62%Percentage2011
% Other or none30%Percentage2011
Roman Catholic church German2.986Number2011
Protestant church German24.395Number2011
Other or none German9.889Number2011
% Roman Catholic church German8%Percentage2011
% Protestant church German65%Percentage2011
% Other or none German Foreign27%Percentage2011
Roman Catholic church Foreign391Number2011
Protestant church Foreign79Number2011
Other or none Foreign1.931Number2011
% Roman Catholic church Foreign16%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign80%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.