Information about the municipality Breunigweiler:

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

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Population numbers in the municipality Breunigweiler 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 Breunigweiler
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Breunigweiler 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 Breunigweiler 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 Breunigweiler 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 Breunigweiler

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Municipality Breunigweiler, 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 Breunigweiler

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Municipality Breunigweiler, 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 Breunigweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms5Number2019
Houses 3 rooms22Number2019
Houses 4 rooms34Number2019
Houses 5 rooms43Number2019
Houses 6 rooms57Number2019
Houses 7+ rooms 61Number2019
Houses 1-2 rooms6Number2019
Houses 3-4 rooms56Number2019
Houses 5+ rooms161Number2019
1-2 rooms3%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag374,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag226Number2017
Votes Bundestag CDU/CSU68Number2017
Votes Bundestag SPD65Number2017
Votes Bundestag GRÜNE20Number2017
Votes Bundestag FDP12Number2017
Votes Bundestag DIE LINKE19Number2017
Votes Bundestag AfD28Number2017
Votes Bundestag other parties14Number2017
Votes Bundestag total226Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees175Number2019
Employees male95Number2019
Employees female80Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed10Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-253Number2018
Unemployed 55-653Number2018
Unemployed long-term3Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-251%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers219Number2015
Income total€8.908Euro2015
Income tax€1.479Euro2015
PopulationValueUnitYear
Population444Number2019
Men222Number2019
Women222Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1865Number2019
18-3055Number2019
30-4581Number2019
45-60112Number2019
18-60248Number2019
60-7599Number2019
60+131Number2019
Average age45Average number2019
Average age male45Average number2019
Average age female45Average number2019
Births3Number2018
Births male0Number2018
Births female3Number2018
1K Births7Number per 1000 inhabitants2018
Deaths5Number2018
Deaths male2Number2018
Deaths female3Number2018
1K Deaths11Number2018
0-312Number2019
Girls 0-38Number2019
Boys 0-34Number2019
3-616Number2019
Girls 3-67Number2019
Boys 3-69Number2019
6-109Number2019
10-1518Number2019
15-1810Number2019
18-206Number2019
20-2524Number2019
25-3025Number2019
30-3535Number2019
35-4018Number2019
40-4528Number2019
45-5025Number2019
50-5546Number2019
55-6041Number2019
60-6543Number2019
65-7556Number2019
Women 65-7028Number2019
Men 65-7028Number2019
75+32Number2019
Women 75+14Number2019
Men 75+18Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4518%Percentage2019
% 45-6025%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 amount€8.800Euro2018
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€6.010Euro2018
Trade tax net€26.110Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335006011Code2019
Region code 8 digits07333011Code07333011
Sorting code073335006011Code073335006011
Sorting code 8 digits07333011Code07333011
Region nameBreunigweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BreunigweilerName2019
Region name in GermanGemeinde BreunigweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church82Number2011
Protestant church233Number2011
Other or none131Number2011
% Roman Catholic church18%Percentage2011
% Protestant church52%Percentage2011
% Other or none29%Percentage2011
Roman Catholic church German79Number2011
Protestant church German233Number2011
Other or none German128Number2011
% Roman Catholic church German18%Percentage2011
% Protestant church German53%Percentage2011
% Other or none German Foreign29%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign50%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign50%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.