Information about the municipality Bolanden:

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

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Population numbers in the municipality Bolanden 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 Bolanden
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Bolanden 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 Donnersbergkreis with the population per municipality.Municipality Bolanden is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen ...Show more... Map of Rural district Donnersbergkreis with the population per municipality.Municipality Bolanden is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen, 6: municipality Münsterappel, 7: municipality city Obermoschel, 8: municipality Alsenz, 9: municipality Oberhausen an der Appel, 10: municipality Unkenbach, 11: municipality Sitters, 12: municipality Oberndorf, 13: municipality Gaugrehweiler, 14: municipality Kriegsfeld, 15: municipality Oberwiesen, 16: municipality Morschheim, 17: municipality Schiersfeld, 18: municipality Mannweiler-Cölln, 19: municipality Ilbesheim, 20: municipality Orbis, 21: municipality Sankt Alban, 22: municipality Finkenbach-Gersweiler, 23: municipality Bayerfeld-Steckweiler, 24: municipality Gerbach, 25: municipality Stetten, 26: municipality Bischheim, 27: municipality Rittersheim, 28: municipality Dielkirchen, 29: municipality city Kirchheimbolanden, 30: municipality Stahlberg, 31: municipality Waldgrehweiler, 32: municipality Einselthum, 33: municipality Gauersheim, 34: municipality Ransweiler, 35: municipality Ruppertsecken, 36: municipality Würzweiler, 37: municipality Katzenbach, 38: municipality Albisheim (Pfrimm), 39: municipality Bisterschied, 40: municipality Schönborn, 41: municipality Zellertal, 42: municipality Bolanden, 43: municipality Immesheim, 44: municipality Teschenmoschel, 45: municipality Dannenfels, 46: municipality Bubenheim, 47: municipality city Rockenhausen, 48: municipality Ottersheim, 49: municipality Bennhausen, 50: municipality Marnheim, 51: municipality Dörrmoschel, 52: municipality Rüssingen, 53: municipality Jakobsweiler, 54: municipality Rathskirchen, 55: municipality Weitersweiler, 56: municipality Falkenstein, 57: municipality Biedesheim, 58: municipality Imsweiler, 59: municipality Steinbach am Donnersberg, 60: municipality Seelen, 61: municipality Dreisen, 62: municipality Standenbühl, 63: municipality Reichsthal, 64: municipality Schweisweiler, 65: municipality Imsbach, 66: municipality Göllheim, 67: municipality Gundersweiler, 68: municipality Lautersheim, 69: municipality Börrstadt, 70: municipality Gehrweiler, 71: municipality Breunigweiler, 72: municipality Kerzenheim, 73: municipality Winnweiler, 74: municipality Höringen, 75: municipality Lohnsfeld, 76: municipality city Eisenberg (Pfalz), 77: municipality Sippersfeld, 78: municipality Gonbach, 79: municipality Münchweiler an der Alsenz, 80: municipality Wartenberg-Rohrbach, 81: municipality Ramsen ...Show less...

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

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Municipality Bolanden, 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 Bolanden

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Municipality Bolanden, 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 Bolanden.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room27Number2019
Houses 2 rooms55Number2019
Houses 3 rooms149Number2019
Houses 4 rooms159Number2019
Houses 5 rooms169Number2019
Houses 6 rooms230Number2019
Houses 7+ rooms 292Number2019
Houses 1-2 rooms82Number2019
Houses 3-4 rooms308Number2019
Houses 5+ rooms691Number2019
1-2 rooms8%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms64%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1849,00Number2017
Voter turnout Bundestag71Number2017
Votes valid Bundestag947Number2017
Votes Bundestag CDU/CSU267Number2017
Votes Bundestag SPD249Number2017
Votes Bundestag GRÜNE76Number2017
Votes Bundestag FDP83Number2017
Votes Bundestag DIE LINKE89Number2017
Votes Bundestag AfD144Number2017
Votes Bundestag other parties39Number2017
Votes Bundestag total947Number2017
% Votes Bundestag CDU/CSU14%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees967Number2019
Employees male535Number2019
Employees female432Number2019
Employees foreigner46Number2019
Employees male foreigner30Number2019
Employees female foreigner16Number2019
Unemployed36Number2018
Unemployed foreigners4Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-255Number2018
Unemployed 55-6511Number2018
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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.083Number2015
Income total€45.604Euro2015
Income tax€7.346Euro2015
PopulationValueUnitYear
Population2.469Number2019
Men1.254Number2019
Women1.215Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18469Number2019
18-30372Number2019
30-45411Number2019
45-60622Number2019
18-601.405Number2019
60-75418Number2019
60+595Number2019
Average age42Average number2019
Average age male41Average number2019
Average age female43Average number2019
Births18Number2018
Births male9Number2018
Births female9Number2018
1K Births7Number per 1000 inhabitants2018
Deaths14Number2018
Deaths male9Number2018
Deaths female5Number2018
1K Deaths6Number2018
0-370Number2019
Girls 0-342Number2019
Boys 0-328Number2019
3-658Number2019
Girls 3-632Number2019
Boys 3-626Number2019
6-10106Number2019
10-15140Number2019
15-1895Number2019
18-2063Number2019
20-25173Number2019
25-30136Number2019
30-35137Number2019
35-40127Number2019
40-45147Number2019
45-50168Number2019
50-55250Number2019
55-60204Number2019
60-65162Number2019
65-75256Number2019
Women 65-70134Number2019
Men 65-70122Number2019
75+177Number2019
Women 75+91Number2019
Men 75+86Number2019
% 0-109%Percentage2019
% 10-1810%Percentage2019
% 18-3015%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+24%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 amount€35.223Euro2018
Property tax A rate€320Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€24.057Euro2018
Trade tax net€104.508Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335004010Code2019
Region code 8 digits07333010Code07333010
Sorting code073335004010Code073335004010
Sorting code 8 digits07333010Code07333010
Region nameBolandenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BolandenName2019
Region name in GermanGemeinde BolandenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area17Area in km²2019
ReligionValueUnitYear
Roman Catholic church466Number2011
Protestant church1.300Number2011
Other or none657Number2011
% Roman Catholic church19%Percentage2011
% Protestant church54%Percentage2011
% Other or none27%Percentage2011
Roman Catholic church German457Number2011
Protestant church German1.285Number2011
Other or none German591Number2011
% Roman Catholic church German20%Percentage2011
% Protestant church German55%Percentage2011
% Other or none German Foreign25%Percentage2011
Roman Catholic church Foreign9Number2011
Protestant church Foreign15Number2011
Other or none Foreign66Number2011
% Roman Catholic church Foreign10%Percentage2011
% Protestant church Foreign17%Percentage2011
% Other or none Foreign73%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.