Information about the municipality Horbach:

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

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

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Municipality Horbach, 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 Horbach

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Municipality Horbach, 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 Horbach.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms8Number2019
Houses 3 rooms25Number2019
Houses 4 rooms38Number2019
Houses 5 rooms47Number2019
Houses 6 rooms68Number2019
Houses 7+ rooms 104Number2019
Houses 1-2 rooms9Number2019
Houses 3-4 rooms63Number2019
Houses 5+ rooms219Number2019
1-2 rooms3%Percentage2019
3-4 rooms22%Percentage2019
5+ rooms75%Percentage2019
ElectionsValueUnitYear
Voters Bundestag455,00Number2017
Voter turnout Bundestag84Number2017
Votes valid Bundestag284Number2017
Votes Bundestag CDU/CSU128Number2017
Votes Bundestag SPD38Number2017
Votes Bundestag GRÜNE14Number2017
Votes Bundestag FDP24Number2017
Votes Bundestag DIE LINKE20Number2017
Votes Bundestag AfD42Number2017
Votes Bundestag other parties18Number2017
Votes Bundestag total284Number2017
% Votes Bundestag CDU/CSU28%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees211Number2019
Employees male118Number2019
Employees female93Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed8Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-651Number2018
Unemployed long-term1Number2018
% 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 receivers264Number2015
Income total€10.281Euro2015
Income tax€1.705Euro2015
PopulationValueUnitYear
Population534Number2019
Men265Number2019
Women269Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1881Number2019
18-3072Number2019
30-4564Number2019
45-60158Number2019
18-60294Number2019
60-75102Number2019
60+159Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female46Average number2019
Births2Number2018
Births male2Number2018
Births female0Number2018
1K Births4Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male2Number2018
Deaths female0Number2018
1K Deaths4Number2018
0-318Number2019
Girls 0-311Number2019
Boys 0-37Number2019
3-66Number2019
Girls 3-63Number2019
Boys 3-63Number2019
6-1016Number2019
10-1521Number2019
15-1820Number2019
18-2013Number2019
20-2535Number2019
25-3024Number2019
30-3524Number2019
35-4015Number2019
40-4525Number2019
45-5040Number2019
50-5560Number2019
55-6058Number2019
60-6546Number2019
65-7556Number2019
Women 65-7028Number2019
Men 65-7028Number2019
75+57Number2019
Women 75+31Number2019
Men 75+26Number2019
% 0-107%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4512%Percentage2019
% 45-6030%Percentage2019
% 60+30%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€9.562Euro2018
Trade tax net€41.539Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405006025Code2019
Region code 8 digits07340025Code07340025
Sorting code073405006025Code073405006025
Sorting code 8 digits07340025Code07340025
Region nameHorbachName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality HorbachName2019
Region name in GermanGemeinde HorbachName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church369Number2011
Protestant church98Number2011
Other or none81Number2011
% Roman Catholic church67%Percentage2011
% Protestant church18%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German363Number2011
Protestant church German98Number2011
Other or none German78Number2011
% Roman Catholic church German67%Percentage2011
% Protestant church German18%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign6Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign67%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign33%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.