Information about the municipality Clausen:

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

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Population numbers in the municipality Clausen 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 Clausen
Map of Rural district Südwestpfalz with the population per municipality.Municipality Clausen 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 Clausen 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 Clausen 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 Clausen

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Municipality Clausen, 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 Clausen

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Municipality Clausen, 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 Clausen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms11Number2019
Houses 3 rooms63Number2019
Houses 4 rooms89Number2019
Houses 5 rooms167Number2019
Houses 6 rooms188Number2019
Houses 7+ rooms 236Number2019
Houses 1-2 rooms11Number2019
Houses 3-4 rooms152Number2019
Houses 5+ rooms591Number2019
1-2 rooms1%Percentage2019
3-4 rooms20%Percentage2019
5+ rooms78%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1150,00Number2017
Voter turnout Bundestag76Number2017
Votes valid Bundestag419Number2017
Votes Bundestag CDU/CSU190Number2017
Votes Bundestag SPD67Number2017
Votes Bundestag GRÜNE15Number2017
Votes Bundestag FDP39Number2017
Votes Bundestag DIE LINKE21Number2017
Votes Bundestag AfD64Number2017
Votes Bundestag other parties23Number2017
Votes Bundestag total419Number2017
% Votes Bundestag CDU/CSU17%Percentage2017
% Votes Bundestag SPD6%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees540Number2019
Employees male290Number2019
Employees female250Number2019
Employees foreigner21Number2019
Employees male foreigner12Number2019
Employees female foreigner9Number2019
Unemployed21Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-6510Number2018
Unemployed long-term6Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers668Number2015
Income total€25.835Euro2015
Income tax€4.220Euro2015
PopulationValueUnitYear
Population1.407Number2019
Men696Number2019
Women711Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18204Number2019
18-30153Number2019
30-45225Number2019
45-60348Number2019
18-60726Number2019
60-75289Number2019
60+477Number2019
Average age48Average number2019
Average age male47Average number2019
Average age female48Average number2019
Births13Number2018
Births male7Number2018
Births female6Number2018
1K Births9Number per 1000 inhabitants2018
Deaths24Number2018
Deaths male12Number2018
Deaths female12Number2018
1K Deaths17Number2018
0-340Number2019
Girls 0-322Number2019
Boys 0-318Number2019
3-634Number2019
Girls 3-616Number2019
Boys 3-618Number2019
6-1051Number2019
10-1553Number2019
15-1826Number2019
18-2019Number2019
20-2555Number2019
25-3079Number2019
30-3583Number2019
35-4074Number2019
40-4568Number2019
45-5086Number2019
50-55117Number2019
55-60145Number2019
60-65125Number2019
65-75164Number2019
Women 65-7074Number2019
Men 65-7090Number2019
75+188Number2019
Women 75+112Number2019
Men 75+76Number2019
% 0-109%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4516%Percentage2019
% 45-6025%Percentage2019
% 60+34%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€28.335Euro2018
Trade tax net€123.091Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405004003Code2019
Region code 8 digits07340003Code07340003
Sorting code073405004003Code073405004003
Sorting code 8 digits07340003Code07340003
Region nameClausenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality ClausenName2019
Region name in GermanGemeinde ClausenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area12Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.032Number2011
Protestant church205Number2011
Other or none158Number2011
% Roman Catholic church74%Percentage2011
% Protestant church15%Percentage2011
% Other or none11%Percentage2011
Roman Catholic church German1.014Number2011
Protestant church German205Number2011
Other or none German152Number2011
% Roman Catholic church German74%Percentage2011
% Protestant church German15%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign18Number2011
Protestant church Foreign0Number2011
Other or none Foreign6Number2011
% Roman Catholic church Foreign75%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign25%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.