Information about the municipality Stolpe:

View the information on over 100 topics about the municipality Stolpe! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Stolpe! 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 Stolpe

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Population numbers in the municipality Stolpe 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 Stolpe
Map of Rural district Ludwigslust-Parchim with the population per municipality.Municipality Stolpe 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 Stolpe 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 Stolpe 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 Stolpe

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Municipality Stolpe, 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 Stolpe

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Municipality Stolpe, 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 Stolpe.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms16Number2019
Houses 3 rooms39Number2019
Houses 4 rooms37Number2019
Houses 5 rooms40Number2019
Houses 6 rooms22Number2019
Houses 7+ rooms 30Number2019
Houses 1-2 rooms16Number2019
Houses 3-4 rooms76Number2019
Houses 5+ rooms92Number2019
1-2 rooms9%Percentage2019
3-4 rooms41%Percentage2019
5+ rooms50%Percentage2019
ElectionsValueUnitYear
Voters Bundestag296,00Number2017
Voter turnout Bundestag59Number2017
Votes valid Bundestag174Number2017
Votes Bundestag CDU/CSU66Number2017
Votes Bundestag SPD30Number2017
Votes Bundestag GRÜNE2Number2017
Votes Bundestag FDP4Number2017
Votes Bundestag DIE LINKE22Number2017
Votes Bundestag AfD43Number2017
Votes Bundestag other parties7Number2017
Votes Bundestag total174Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP1%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD15%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees140Number2019
Employees male76Number2019
Employees female64Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed10Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-201Number2018
Unemployed 15-251Number2018
Unemployed 55-655Number2018
Unemployed long-term5Number2018
% Unemployed3%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 55-652%Percentage of the population2018
% Unemployed long-term2%Percentage of the population2018
IncomeValueUnitYear
Income receivers170Number2015
Income total€4.897Euro2015
Income tax€595Euro2015
PopulationValueUnitYear
Population333Number2019
Men166Number2019
Women167Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1848Number2019
18-3020Number2019
30-4549Number2019
45-6096Number2019
18-60165Number2019
60-7585Number2019
60+120Number2019
Average age49Average number2019
Average age male49Average number2019
Average age female50Average number2019
Births2Number2018
Births male2Number2018
Births female0Number2018
1K Births6Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male2Number2018
Deaths female4Number2018
1K Deaths17Number2018
0-36Number2019
Girls 0-33Number2019
Boys 0-33Number2019
3-66Number2019
Girls 3-63Number2019
Boys 3-63Number2019
6-107Number2019
10-1518Number2019
15-1811Number2019
18-205Number2019
20-258Number2019
25-307Number2019
30-359Number2019
35-4014Number2019
40-4526Number2019
45-5032Number2019
50-5530Number2019
55-6034Number2019
60-6533Number2019
65-7552Number2019
Women 65-7027Number2019
Men 65-7025Number2019
75+35Number2019
Women 75+20Number2019
Men 75+15Number2019
% 0-106%Percentage2019
% 10-189%Percentage2019
% 18-306%Percentage2019
% 30-4515%Percentage2019
% 45-6029%Percentage2019
% 60+36%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 code130765662129Code2019
Region code 8 digits13076129Code13076129
Sorting code130765662129Code130765662129
Sorting code 8 digits13076129Code13076129
Region nameStolpeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality StolpeName2019
Region name in GermanGemeinde StolpeName2019
Direct subregionsno dataNumber2019
NUTS codeDE80OCode2019
Area21Area 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.