Information about the municipality Gundersweiler:

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

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

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Municipality Gundersweiler, 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 Gundersweiler

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Municipality Gundersweiler, 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 Gundersweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms7Number2019
Houses 3 rooms20Number2019
Houses 4 rooms40Number2019
Houses 5 rooms36Number2019
Houses 6 rooms53Number2019
Houses 7+ rooms 82Number2019
Houses 1-2 rooms8Number2019
Houses 3-4 rooms60Number2019
Houses 5+ rooms171Number2019
1-2 rooms3%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag428,00Number2017
Voter turnout Bundestag79Number2017
Votes valid Bundestag267Number2017
Votes Bundestag CDU/CSU67Number2017
Votes Bundestag SPD104Number2017
Votes Bundestag GRÜNE18Number2017
Votes Bundestag FDP21Number2017
Votes Bundestag DIE LINKE10Number2017
Votes Bundestag AfD31Number2017
Votes Bundestag other parties16Number2017
Votes Bundestag total267Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD24%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees217Number2019
Employees male122Number2019
Employees female95Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed9Number2018
Unemployed foreigners2Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-653Number2018
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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers266Number2015
Income total€8.507Euro2015
Income tax€1.213Euro2015
PopulationValueUnitYear
Population505Number2019
Men251Number2019
Women254Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1875Number2019
18-3074Number2019
30-4574Number2019
45-60140Number2019
18-60288Number2019
60-7595Number2019
60+142Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female47Average number2019
Births2Number2018
Births male0Number2018
Births female2Number2018
1K Births4Number per 1000 inhabitants2018
Deaths8Number2018
Deaths male3Number2018
Deaths female5Number2018
1K Deaths16Number2018
0-39Number2019
Girls 0-36Number2019
Boys 0-33Number2019
3-614Number2019
Girls 3-65Number2019
Boys 3-69Number2019
6-1016Number2019
10-1516Number2019
15-1820Number2019
18-2014Number2019
20-2531Number2019
25-3029Number2019
30-3528Number2019
35-4028Number2019
40-4518Number2019
45-5029Number2019
50-5551Number2019
55-6060Number2019
60-6541Number2019
65-7554Number2019
Women 65-7029Number2019
Men 65-7025Number2019
75+47Number2019
Women 75+28Number2019
Men 75+19Number2019
% 0-108%Percentage2019
% 10-187%Percentage2019
% 18-3015%Percentage2019
% 30-4515%Percentage2019
% 45-6028%Percentage2019
% 60+28%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€6.365Euro2018
Property tax A rate€340Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€4.348Euro2018
Trade tax net€19.204Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335005028Code2019
Region code 8 digits07333028Code07333028
Sorting code073335005028Code073335005028
Sorting code 8 digits07333028Code07333028
Region nameGundersweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GundersweilerName2019
Region name in GermanGemeinde GundersweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church61Number2011
Protestant church382Number2011
Other or none55Number2011
% Roman Catholic church12%Percentage2011
% Protestant church76%Percentage2011
% Other or none11%Percentage2011
Roman Catholic church German58Number2011
Protestant church German382Number2011
Other or none German55Number2011
% Roman Catholic church German12%Percentage2011
% Protestant church German77%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign100%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign0%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.