Information about the municipality Leimen:

Population numbers per year
The number of inhabitants in the municipality Leimen

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Population numbers in the municipality Leimen 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 Leimen
Map of Rural district Südwestpfalz with the population per municipality.Municipality Leimen 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 Rural district Südwestpfalz with the population per municipality.Municipality Leimen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach ...Show more... Map of Rural district Südwestpfalz with the population per municipality.Municipality Leimen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach, 6: municipality Wiesbach, 7: municipality Weselberg, 8: municipality Horbach, 9: municipality Schmalenberg, 10: municipality Krähenberg, 11: municipality Geiselberg, 12: municipality Käshofen, 13: municipality Saalstadt, 14: municipality Wallhalben, 15: municipality Biedershausen, 16: municipality Steinalben, 17: municipality Hermersberg, 18: municipality Kleinbundenbach, 19: municipality Schauerberg, 20: municipality Schmitshausen, 21: municipality Heltersberg, 22: municipality Winterbach (Pfalz), 23: municipality Großbundenbach, 24: municipality Herschberg, 25: municipality Höheinöd, 26: municipality Waldfischbach-Burgalben, 27: municipality Leimen, 28: municipality Reifenberg, 29: municipality Battweiler, 30: municipality Maßweiler, 31: municipality Donsieders, 32: municipality Thaleischweiler-Fröschen, 33: municipality Clausen, 34: municipality Rieschweiler-Mühlbach, 35: municipality Merzalben, 36: municipality Höhfröschen, 37: municipality Contwig, 38: municipality Wilgartswiesen, 39: municipality Petersberg, 40: municipality city Rodalben, 41: municipality Dellfeld, 42: municipality Höheischweiler, 43: municipality Nünschweiler, 44: municipality Münchweiler an der Rodalb, 45: municipality Walshausen, 46: municipality Althornbach, 47: municipality Spirkelbach, 48: municipality Dietrichingen, 49: municipality Kleinsteinhausen, 50: municipality Ruppertsweiler, 51: municipality Großsteinhausen, 52: municipality Hinterweidenthal, 53: municipality Bottenbach, 54: municipality Mauschbach, 55: municipality city Hornbach, 56: municipality Hauenstein, 57: municipality Lug, 58: municipality Riedelberg, 59: municipality Schwanheim, 60: municipality Vinningen, 61: municipality Dimbach, 62: municipality Erfweiler, 63: municipality Obersimten, 64: municipality Kröppen, 65: municipality Darstein, 66: municipality Lemberg, 67: municipality city Dahn, 68: municipality Trulben, 69: municipality Schindhard, 70: municipality Busenberg, 71: municipality Schweix, 72: municipality Hilst, 73: municipality Bruchweiler-Bärenbach, 74: municipality Erlenbach bei Dahn, 75: municipality Eppenbrunn, 76: municipality Bundenthal, 77: municipality Fischbach bei Dahn, 78: municipality Rumbach, 79: municipality Ludwigswinkel, 80: municipality Niederschlettenbach, 81: municipality Nothweiler, 82: municipality Schönau (Pfalz), 83: municipality Bobenthal, 84: municipality Hirschthal ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Leimen

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Municipality Leimen, 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 Leimen

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Municipality Leimen, 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 Leimen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms8Number2019
Houses 3 rooms33Number2019
Houses 4 rooms95Number2019
Houses 5 rooms112Number2019
Houses 6 rooms95Number2019
Houses 7+ rooms 146Number2019
Houses 1-2 rooms9Number2019
Houses 3-4 rooms128Number2019
Houses 5+ rooms353Number2019
1-2 rooms2%Percentage2019
3-4 rooms26%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag774,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag306Number2017
Votes Bundestag CDU/CSU114Number2017
Votes Bundestag SPD58Number2017
Votes Bundestag GRÜNE5Number2017
Votes Bundestag FDP20Number2017
Votes Bundestag DIE LINKE27Number2017
Votes Bundestag AfD66Number2017
Votes Bundestag other parties16Number2017
Votes Bundestag total306Number2017
% Votes Bundestag CDU/CSU15%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees381Number2019
Employees male212Number2019
Employees female169Number2019
Employees foreigner35Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed13Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-654Number2018
Unemployed long-term3Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers467Number2015
Income total€16.388Euro2015
Income tax€2.915Euro2015
PopulationValueUnitYear
Population925Number2019
Men466Number2019
Women459Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18115Number2019
18-30106Number2019
30-45125Number2019
45-60286Number2019
18-60517Number2019
60-75160Number2019
60+293Number2019
Average age49Average number2019
Average age male48Average number2019
Average age female49Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths7Number2018
Deaths male6Number2018
Deaths female1Number2018
1K Deaths8Number2018
0-321Number2019
Girls 0-310Number2019
Boys 0-311Number2019
3-618Number2019
Girls 3-68Number2019
Boys 3-610Number2019
6-1020Number2019
10-1527Number2019
15-1829Number2019
18-2015Number2019
20-2543Number2019
25-3048Number2019
30-3545Number2019
35-4038Number2019
40-4542Number2019
45-5083Number2019
50-55106Number2019
55-6097Number2019
60-6568Number2019
65-7592Number2019
Women 65-7050Number2019
Men 65-7042Number2019
75+133Number2019
Women 75+70Number2019
Men 75+63Number2019
% 0-106%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4514%Percentage2019
% 45-6031%Percentage2019
% 60+32%Percentage2019
Real estateValueUnitYear
Property tax A revenueno dataEurono data
Property tax B revenueno dataEurono data
Trade tax actual revenueno dataEurono data
Property tax A basic amountno dataEurono data
Property tax B basic amountno dataEurono data
Trade tax basic amountno dataEurono data
Property tax A rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€25.655Euro2018
Trade tax net€111.449Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405004027Code2019
Region code 8 digits07340027Code07340027
Sorting code073405004027Code073405004027
Sorting code 8 digits07340027Code07340027
Region nameLeimenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality LeimenName2019
Region name in GermanGemeinde LeimenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area29Area in km²2019
ReligionValueUnitYear
Roman Catholic church698Number2011
Protestant church161Number2011
Other or none128Number2011
% Roman Catholic church71%Percentage2011
% Protestant church16%Percentage2011
% Other or none13%Percentage2011
Roman Catholic church German683Number2011
Protestant church German158Number2011
Other or none German103Number2011
% Roman Catholic church German72%Percentage2011
% Protestant church German17%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign15Number2011
Protestant church Foreign3Number2011
Other or none Foreign25Number2011
% Roman Catholic church Foreign35%Percentage2011
% Protestant church Foreign7%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.