Information about the municipality Börrstadt:

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

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

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Municipality Börrstadt, 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 Börrstadt

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Municipality Börrstadt, 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 Börrstadt.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms18Number2019
Houses 3 rooms23Number2019
Houses 4 rooms81Number2019
Houses 5 rooms86Number2019
Houses 6 rooms91Number2019
Houses 7+ rooms 129Number2019
Houses 1-2 rooms19Number2019
Houses 3-4 rooms104Number2019
Houses 5+ rooms306Number2019
1-2 rooms4%Percentage2019
3-4 rooms24%Percentage2019
5+ rooms71%Percentage2019
ElectionsValueUnitYear
Voters Bundestag721,00Number2017
Voter turnout Bundestag72Number2017
Votes valid Bundestag385Number2017
Votes Bundestag CDU/CSU157Number2017
Votes Bundestag SPD76Number2017
Votes Bundestag GRÜNE23Number2017
Votes Bundestag FDP28Number2017
Votes Bundestag DIE LINKE23Number2017
Votes Bundestag AfD59Number2017
Votes Bundestag other parties19Number2017
Votes Bundestag total385Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees389Number2019
Employees male214Number2019
Employees female175Number2019
Employees foreigner19Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed16Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-201Number2018
Unemployed 15-253Number2018
Unemployed 55-654Number2018
Unemployed long-term4Number2018
% 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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers426Number2015
Income total€15.289Euro2015
Income tax€2.411Euro2015
PopulationValueUnitYear
Population898Number2019
Men438Number2019
Women460Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18157Number2019
18-30134Number2019
30-45133Number2019
45-60228Number2019
18-60495Number2019
60-75161Number2019
60+246Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female44Average number2019
Births4Number2018
Births male1Number2018
Births female3Number2018
1K Births4Number per 1000 inhabitants2018
Deaths9Number2018
Deaths male5Number2018
Deaths female4Number2018
1K Deaths10Number2018
0-330Number2019
Girls 0-317Number2019
Boys 0-313Number2019
3-621Number2019
Girls 3-610Number2019
Boys 3-611Number2019
6-1029Number2019
10-1552Number2019
15-1825Number2019
18-2022Number2019
20-2544Number2019
25-3068Number2019
30-3548Number2019
35-4045Number2019
40-4540Number2019
45-5064Number2019
50-5593Number2019
55-6071Number2019
60-6578Number2019
65-7583Number2019
Women 65-7046Number2019
Men 65-7037Number2019
75+85Number2019
Women 75+48Number2019
Men 75+37Number2019
% 0-109%Percentage2019
% 10-189%Percentage2019
% 18-3015%Percentage2019
% 30-4515%Percentage2019
% 45-6025%Percentage2019
% 60+27%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€11.624Euro2018
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€7.939Euro2018
Trade tax net€34.488Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335006009Code2019
Region code 8 digits07333009Code07333009
Sorting code073335006009Code073335006009
Sorting code 8 digits07333009Code07333009
Region nameBörrstadtName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BörrstadtName2019
Region name in GermanGemeinde BörrstadtName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area15Area in km²2019
ReligionValueUnitYear
Roman Catholic church511Number2011
Protestant church258Number2011
Other or none142Number2011
% Roman Catholic church56%Percentage2011
% Protestant church28%Percentage2011
% Other or none16%Percentage2011
Roman Catholic church German502Number2011
Protestant church German255Number2011
Other or none German132Number2011
% Roman Catholic church German56%Percentage2011
% Protestant church German29%Percentage2011
% Other or none German Foreign15%Percentage2011
Roman Catholic church Foreign9Number2011
Protestant church Foreign3Number2011
Other or none Foreign10Number2011
% Roman Catholic church Foreign41%Percentage2011
% Protestant church Foreign14%Percentage2011
% Other or none Foreign45%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.