Information about the municipality Belsch:

View the information on over 100 topics about the municipality Belsch! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Belsch! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the municipality Belsch

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Population numbers in the municipality Belsch for the years 2012 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 Belsch
Map of Rural district Ludwigslust-Parchim with the population per municipality.Municipality Belsch 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 Ludwigslust-Parchim with the population per municipality.Municipality Belsch is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Blankenberg, 2: municipality Kloster Tempzin, 3: municipality Dobin am See, 4: municipality Witzin, 5: municipality city Brüel ...Show more... Map of Rural district Ludwigslust-Parchim with the population per municipality.Municipality Belsch is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Blankenberg, 2: municipality Kloster Tempzin, 3: municipality Dobin am See, 4: municipality Witzin, 5: municipality city Brüel, 6: municipality city Sternberg, 7: municipality Mustin, 8: municipality Cambs, 9: municipality Kuhlen-Wendorf, 10: municipality Weitendorf, 11: municipality Borkow, 12: municipality Leezen, 13: municipality Langen Brütz, 14: municipality Dabel, 15: municipality Kobrow, 16: municipality Gneven, 17: municipality Hohen Pritz, 18: municipality Demen, 19: municipality Dobbertin, 20: municipality Wittenförden, 21: municipality Pinnow, 22: municipality Klein Rogahn, 23: municipality Barnin, 24: municipality Raben Steinfeld, 25: municipality Bülow, 26: municipality city Crivitz, 27: municipality Mestlin, 28: municipality Techentin, 29: municipality Zülow, 30: municipality city Zarrentin am Schaalsee, 31: municipality Stralendorf, 32: municipality city Goldberg, 33: municipality Pampow, 34: municipality Zölkow, 35: municipality Neu Poserin, 36: municipality Dümmer, 37: municipality Sukow, 38: municipality Plate, 39: municipality Zapel, 40: municipality Wittendörp, 41: municipality Warsow, 42: municipality Holthusen, 43: municipality Schossin, 44: municipality Friedrichsruhe, 45: municipality Obere Warnow, 46: municipality Lüttow-Valluhn, 47: municipality Passow, 48: municipality Gallin-Kuppentin, 49: municipality Lübesse, 50: municipality Tramm, 51: municipality Sülstorf, 52: municipality Werder, 53: municipality Hülseburg, 54: municipality Gammelin, 55: municipality Bandenitz, 56: municipality Kogel, 57: municipality Alt Zachun, 58: municipality Banzkow, 59: municipality Granzin, 60: municipality Gallin, 61: municipality Domsühl, 62: municipality Barkhagen, 63: municipality city Plau am See, 64: municipality Bobzin, 65: municipality Lewitzrand, 66: municipality Uelitz, 67: municipality city Wittenburg, 68: municipality Hoort, 69: municipality Greven, 70: municipality city Lübz, 71: municipality Rom, 72: municipality Kirch Jesar, 73: municipality city Hagenow, 74: municipality Rastow, 75: municipality Kritzow, 76: municipality Schwanheide, 77: municipality Gresse, 78: municipality city Parchim, 79: municipality Bengerstorf, 80: municipality Vellahn, 81: municipality Gischow, 82: municipality Setzin, 83: municipality Moraas, 84: municipality Toddin, 85: municipality city Neustadt-Glewe, 86: municipality Spornitz, 87: municipality Kreien, 88: municipality Lüblow, 89: municipality Wöbbelin, 90: municipality Pätow-Steegen, 91: municipality Strohkirchen, 92: municipality Nostorf, 93: municipality Brenz, 94: municipality Gehlsbach, 95: municipality city Boizenburg/Elbe, 96: municipality Kuhstorf, 97: municipality Tessin b. Boizenburg, 98: municipality Neu Gülze, 99: municipality Dersenow, 100: municipality Picher, 101: municipality Siggelkow, 102: municipality Ganzlin, 103: municipality Pritzier, 104: municipality Warlitz, 105: municipality Groß Godems, 106: municipality Brahlstorf, 107: municipality Redefin, 108: municipality Bresegard bei Picher, 109: municipality Warlow, 110: municipality Besitz, 111: municipality Blievenstorf, 112: municipality Stolpe, 113: municipality Tessenow, 114: municipality Groß Laasch, 115: municipality Teldau, 116: municipality Groß Krams, 117: municipality Karrenzin, 118: municipality Marnitz, 119: municipality Muchow, 120: municipality city Ludwigslust, 121: municipality Belsch, 122: municipality Alt Krenzlin, 123: municipality Suckow, 124: municipality Göhlen, 125: municipality city Lübtheen, 126: municipality Möllenbeck, 127: municipality Zierzow, 128: municipality Ziegendorf, 129: municipality Karstädt, 130: municipality Leussow, 131: municipality Prislich, 132: municipality Brunow, 133: municipality Balow, 134: municipality Bresegard bei Eldena, 135: municipality Dambeck, 136: municipality Eldena, 137: municipality Kremmin, 138: municipality Karenz, 139: municipality Vielank, 140: municipality city Grabow, 141: municipality Grebs-Niendorf, 142: municipality Malliß, 143: municipality Malk Göhren, 144: municipality Gorlosen, 145: municipality Milow, 146: municipality Neu Kaliß, 147: municipality city Dömitz ...Show less...

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

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Municipality Belsch, 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 Belsch

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Municipality Belsch, 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 Belsch.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms4Number2019
Houses 3 rooms19Number2019
Houses 4 rooms24Number2019
Houses 5 rooms25Number2019
Houses 6 rooms13Number2019
Houses 7+ rooms 26Number2019
Houses 1-2 rooms5Number2019
Houses 3-4 rooms43Number2019
Houses 5+ rooms64Number2019
1-2 rooms4%Percentage2019
3-4 rooms38%Percentage2019
5+ rooms57%Percentage2019
ElectionsValueUnitYear
Voters Bundestag190,00Number2017
Voter turnout Bundestag70Number2017
Votes valid Bundestag131Number2017
Votes Bundestag CDU/CSU37Number2017
Votes Bundestag SPD34Number2017
Votes Bundestag GRÜNE7Number2017
Votes Bundestag FDP6Number2017
Votes Bundestag DIE LINKE21Number2017
Votes Bundestag AfD20Number2017
Votes Bundestag other parties6Number2017
Votes Bundestag total131Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD18%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE11%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees83Number2019
Employees male42Number2019
Employees female41Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed5Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-652Number2018
Unemployed long-term2Number2018
% 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 receivers99Number2015
Income total€2.926Euro2015
Income tax€318Euro2015
PopulationValueUnitYear
Population230Number2019
Men119Number2019
Women111Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-1841Number2019
18-306Number2019
30-4536Number2019
45-6057Number2019
18-6099Number2019
60-7558Number2019
60+90Number2019
Average age50Average number2019
Average age male46Average number2019
Average age female54Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths9Number2018
0-32Number2019
Girls 0-32Number2019
Boys 0-30Number2019
3-611Number2019
Girls 3-62Number2019
Boys 3-69Number2019
6-109Number2019
10-1511Number2019
15-188Number2019
18-201Number2019
20-253Number2019
25-302Number2019
30-3511Number2019
35-4014Number2019
40-4511Number2019
45-5013Number2019
50-5515Number2019
55-6029Number2019
60-6529Number2019
65-7529Number2019
Women 65-7014Number2019
Men 65-7015Number2019
75+32Number2019
Women 75+20Number2019
Men 75+12Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-303%Percentage2019
% 30-4516%Percentage2019
% 45-6025%Percentage2019
% 60+39%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 rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code130765658008Code2019
Region code 8 digits13076008Code13076008
Sorting code130765658008Code130765658008
Sorting code 8 digits13076008Code13076008
Region nameBelschName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BelschName2019
Region name in GermanGemeinde BelschName2019
Direct subregionsno dataNumber2019
NUTS codeDE80OCode2019
Area23Area in km²2019
ReligionValueUnitYear
Roman Catholic churchno dataNumberno data
Protestant churchno dataNumberno data
Other or noneno dataNumberno data
% Roman Catholic churchno dataPercentageno data
% Protestant churchno dataPercentageno data
% Other or noneno dataPercentageno data
Roman Catholic church Germanno dataNumberno data
Protestant church Germanno dataNumberno data
Other or none Germanno dataNumberno data
% Roman Catholic church Germanno dataPercentageno data
% Protestant church Germanno dataPercentageno data
% Other or none German Foreignno dataPercentageno data
Roman Catholic church Foreignno dataNumberno data
Protestant church Foreignno dataNumberno data
Other or none Foreignno dataNumberno data
% Roman Catholic church Foreignno dataPercentageno data
% Protestant church Foreignno dataPercentageno data
% Other or none Foreignno dataPercentageno data
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.