Information about the municipality Höheinöd:

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

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

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Municipality Höheinöd, 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 Höheinöd

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Municipality Höheinöd, 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 Höheinöd.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality Höheinöd. 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 rooms62Number2019
Houses 4 rooms114Number2019
Houses 5 rooms124Number2019
Houses 6 rooms122Number2019
Houses 7+ rooms 208Number2019
Houses 1-2 rooms11Number2019
Houses 3-4 rooms176Number2019
Houses 5+ rooms454Number2019
1-2 rooms2%Percentage2019
3-4 rooms27%Percentage2019
5+ rooms71%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1025,00Number2017
Voter turnout Bundestag71Number2017
Votes valid Bundestag499Number2017
Votes Bundestag CDU/CSU134Number2017
Votes Bundestag SPD170Number2017
Votes Bundestag GRÜNE25Number2017
Votes Bundestag FDP44Number2017
Votes Bundestag DIE LINKE25Number2017
Votes Bundestag AfD81Number2017
Votes Bundestag other parties20Number2017
Votes Bundestag total499Number2017
% Votes Bundestag CDU/CSU13%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees437Number2019
Employees male235Number2019
Employees female202Number2019
Employees foreigner7Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed27Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled4Number2018
Unemployed 15-200Number2018
Unemployed 15-253Number2018
Unemployed 55-6514Number2018
Unemployed long-term9Number2018
% 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 receivers651Number2015
Income total€20.476Euro2015
Income tax€3.084Euro2015
PopulationValueUnitYear
Population1.203Number2019
Men600Number2019
Women603Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18172Number2019
18-30123Number2019
30-45186Number2019
45-60284Number2019
18-60593Number2019
60-75258Number2019
60+438Number2019
Average age49Average number2019
Average age male48Average number2019
Average age female50Average number2019
Births7Number2018
Births male5Number2018
Births female2Number2018
1K Births6Number per 1000 inhabitants2018
Deaths11Number2018
Deaths male5Number2018
Deaths female6Number2018
1K Deaths9Number2018
0-327Number2019
Girls 0-311Number2019
Boys 0-316Number2019
3-631Number2019
Girls 3-616Number2019
Boys 3-615Number2019
6-1032Number2019
10-1549Number2019
15-1833Number2019
18-2019Number2019
20-2547Number2019
25-3057Number2019
30-3562Number2019
35-4061Number2019
40-4563Number2019
45-5060Number2019
50-55107Number2019
55-60117Number2019
60-65103Number2019
65-75155Number2019
Women 65-7077Number2019
Men 65-7078Number2019
75+180Number2019
Women 75+103Number2019
Men 75+77Number2019
% 0-107%Percentage2019
% 10-187%Percentage2019
% 18-3010%Percentage2019
% 30-4515%Percentage2019
% 45-6024%Percentage2019
% 60+36%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€13.302Euro2018
Trade tax net€57.786Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405006022Code2019
Region code 8 digits07340022Code07340022
Sorting code073405006022Code073405006022
Sorting code 8 digits07340022Code07340022
Region nameHöheinödName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality HöheinödName2019
Region name in GermanGemeinde HöheinödName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area11Area in km²2019
ReligionValueUnitYear
Roman Catholic church277Number2011
Protestant church805Number2011
Other or none185Number2011
% Roman Catholic church22%Percentage2011
% Protestant church64%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German268Number2011
Protestant church German799Number2011
Other or none German169Number2011
% Roman Catholic church German22%Percentage2011
% Protestant church German65%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign9Number2011
Protestant church Foreign6Number2011
Other or none Foreign16Number2011
% Roman Catholic church Foreign29%Percentage2011
% Protestant church Foreign19%Percentage2011
% Other or none Foreign52%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.