Information about the municipality Schweisweiler:

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

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

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Municipality Schweisweiler, 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 Schweisweiler

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Municipality Schweisweiler, 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 Schweisweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms4Number2019
Houses 3 rooms24Number2019
Houses 4 rooms35Number2019
Houses 5 rooms35Number2019
Houses 6 rooms43Number2019
Houses 7+ rooms 58Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms59Number2019
Houses 5+ rooms136Number2019
1-2 rooms2%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms68%Percentage2019
ElectionsValueUnitYear
Voters Bundestag258,00Number2017
Voter turnout Bundestag67Number2017
Votes valid Bundestag141Number2017
Votes Bundestag CDU/CSU68Number2017
Votes Bundestag SPD20Number2017
Votes Bundestag GRÜNE5Number2017
Votes Bundestag FDP15Number2017
Votes Bundestag DIE LINKE8Number2017
Votes Bundestag AfD22Number2017
Votes Bundestag other parties3Number2017
Votes Bundestag total141Number2017
% Votes Bundestag CDU/CSU26%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees133Number2019
Employees male0Number2019
Employees female0Number2019
Employees foreigner11Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed9Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-653Number2018
Unemployed long-term1Number2018
% Unemployed3%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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers159Number2015
Income total€5.241Euro2015
Income tax€832Euro2015
PopulationValueUnitYear
Population326Number2019
Men166Number2019
Women160Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1858Number2019
18-3036Number2019
30-4541Number2019
45-6092Number2019
18-60169Number2019
60-7569Number2019
60+99Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female46Average number2019
Births1Number2018
Births male1Number2018
Births female0Number2018
1K Births3Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male0Number2018
Deaths female2Number2018
1K Deaths6Number2018
0-311Number2019
Girls 0-36Number2019
Boys 0-35Number2019
3-612Number2019
Girls 3-66Number2019
Boys 3-66Number2019
6-1012Number2019
10-1514Number2019
15-189Number2019
18-202Number2019
20-2516Number2019
25-3018Number2019
30-3515Number2019
35-4012Number2019
40-4514Number2019
45-5019Number2019
50-5525Number2019
55-6048Number2019
60-6535Number2019
65-7534Number2019
Women 65-7016Number2019
Men 65-7018Number2019
75+30Number2019
Women 75+17Number2019
Men 75+13Number2019
% 0-1011%Percentage2019
% 10-187%Percentage2019
% 18-3011%Percentage2019
% 30-4513%Percentage2019
% 45-6028%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€11.845Euro2018
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€8.090Euro2018
Trade tax net€35.145Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335006069Code2019
Region code 8 digits07333069Code07333069
Sorting code073335006069Code073335006069
Sorting code 8 digits07333069Code07333069
Region nameSchweisweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchweisweilerName2019
Region name in GermanGemeinde SchweisweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church159Number2011
Protestant church144Number2011
Other or none50Number2011
% Roman Catholic church45%Percentage2011
% Protestant church41%Percentage2011
% Other or none14%Percentage2011
Roman Catholic church German159Number2011
Protestant church German144Number2011
Other or none German47Number2011
% Roman Catholic church German45%Percentage2011
% Protestant church German41%Percentage2011
% Other or none German Foreign13%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%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.