Information about the municipality Schweix:

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

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Population numbers in the municipality Schweix 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 Schweix
Map of Rural district Südwestpfalz with the population per municipality.Municipality Schweix 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 Südwestpfalz with the population per municipality.Municipality Schweix is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach ...Show more... Map of Rural district Südwestpfalz with the population per municipality.Municipality Schweix is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach, 6: municipality Wiesbach, 7: municipality Weselberg, 8: municipality Horbach, 9: municipality Schmalenberg, 10: municipality Krähenberg, 11: municipality Geiselberg, 12: municipality Käshofen, 13: municipality Saalstadt, 14: municipality Wallhalben, 15: municipality Biedershausen, 16: municipality Steinalben, 17: municipality Hermersberg, 18: municipality Kleinbundenbach, 19: municipality Schauerberg, 20: municipality Schmitshausen, 21: municipality Heltersberg, 22: municipality Winterbach (Pfalz), 23: municipality Großbundenbach, 24: municipality Herschberg, 25: municipality Höheinöd, 26: municipality Waldfischbach-Burgalben, 27: municipality Leimen, 28: municipality Reifenberg, 29: municipality Battweiler, 30: municipality Maßweiler, 31: municipality Donsieders, 32: municipality Thaleischweiler-Fröschen, 33: municipality Clausen, 34: municipality Rieschweiler-Mühlbach, 35: municipality Merzalben, 36: municipality Höhfröschen, 37: municipality Contwig, 38: municipality Wilgartswiesen, 39: municipality Petersberg, 40: municipality city Rodalben, 41: municipality Dellfeld, 42: municipality Höheischweiler, 43: municipality Nünschweiler, 44: municipality Münchweiler an der Rodalb, 45: municipality Walshausen, 46: municipality Althornbach, 47: municipality Spirkelbach, 48: municipality Dietrichingen, 49: municipality Kleinsteinhausen, 50: municipality Ruppertsweiler, 51: municipality Großsteinhausen, 52: municipality Hinterweidenthal, 53: municipality Bottenbach, 54: municipality Mauschbach, 55: municipality city Hornbach, 56: municipality Hauenstein, 57: municipality Lug, 58: municipality Riedelberg, 59: municipality Schwanheim, 60: municipality Vinningen, 61: municipality Dimbach, 62: municipality Erfweiler, 63: municipality Obersimten, 64: municipality Kröppen, 65: municipality Darstein, 66: municipality Lemberg, 67: municipality city Dahn, 68: municipality Trulben, 69: municipality Schindhard, 70: municipality Busenberg, 71: municipality Schweix, 72: municipality Hilst, 73: municipality Bruchweiler-Bärenbach, 74: municipality Erlenbach bei Dahn, 75: municipality Eppenbrunn, 76: municipality Bundenthal, 77: municipality Fischbach bei Dahn, 78: municipality Rumbach, 79: municipality Ludwigswinkel, 80: municipality Niederschlettenbach, 81: municipality Nothweiler, 82: municipality Schönau (Pfalz), 83: municipality Bobenthal, 84: municipality Hirschthal ...Show less...

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

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Municipality Schweix, 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 Schweix

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Municipality Schweix, 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 Schweix.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms1Number2019
Houses 3 rooms14Number2019
Houses 4 rooms37Number2019
Houses 5 rooms41Number2019
Houses 6 rooms35Number2019
Houses 7+ rooms 41Number2019
Houses 1-2 rooms1Number2019
Houses 3-4 rooms51Number2019
Houses 5+ rooms117Number2019
1-2 rooms1%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms69%Percentage2019
ElectionsValueUnitYear
Voters Bundestag277,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag161Number2017
Votes Bundestag CDU/CSU67Number2017
Votes Bundestag SPD31Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP18Number2017
Votes Bundestag DIE LINKE12Number2017
Votes Bundestag AfD26Number2017
Votes Bundestag other parties4Number2017
Votes Bundestag total161Number2017
% Votes Bundestag CDU/CSU24%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees0Number2019
Employees male0Number2019
Employees female0Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed6Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-652Number2018
Unemployed long-term1Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers145Number2015
Income total€5.244Euro2015
Income tax€828Euro2015
PopulationValueUnitYear
Population304Number2019
Men142Number2019
Women162Number2019
% Men47%Percentage2019
% Women53%Percentage2019
0-1827Number2019
18-3033Number2019
30-4530Number2019
45-6086Number2019
18-60149Number2019
60-7575Number2019
60+128Number2019
Average age53Average number2019
Average age male50Average number2019
Average age female56Average number2019
Births1Number2018
Births male0Number2018
Births female1Number2018
1K Births3Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male3Number2018
Deaths female3Number2018
1K Deaths20Number2018
0-31Number2019
Girls 0-31Number2019
Boys 0-30Number2019
3-63Number2019
Girls 3-61Number2019
Boys 3-62Number2019
6-103Number2019
10-1513Number2019
15-187Number2019
18-2010Number2019
20-2512Number2019
25-3011Number2019
30-357Number2019
35-4010Number2019
40-4513Number2019
45-5031Number2019
50-5531Number2019
55-6024Number2019
60-6529Number2019
65-7546Number2019
Women 65-7024Number2019
Men 65-7022Number2019
75+53Number2019
Women 75+35Number2019
Men 75+18Number2019
% 0-102%Percentage2019
% 10-187%Percentage2019
% 18-3011%Percentage2019
% 30-4510%Percentage2019
% 45-6028%Percentage2019
% 60+42%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 amountno dataEurono data
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€2.851Euro2018
Trade tax net€12.382Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405003048Code2019
Region code 8 digits07340048Code07340048
Sorting code073405003048Code073405003048
Sorting code 8 digits07340048Code07340048
Region nameSchweixName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchweixName2019
Region name in GermanGemeinde SchweixName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area4Area in km²2019
ReligionValueUnitYear
Roman Catholic church211Number2011
Protestant church75Number2011
Other or none66Number2011
% Roman Catholic church60%Percentage2011
% Protestant church21%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German205Number2011
Protestant church German75Number2011
Other or none German60Number2011
% Roman Catholic church German60%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign18%Percentage2011
Roman Catholic church Foreign6Number2011
Protestant church Foreign0Number2011
Other or none Foreign6Number2011
% 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.