Information about the municipality Wittenförden:

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

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

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Municipality Wittenförden, 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 Wittenförden

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Municipality Wittenförden, 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 Wittenförden.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room4Number2019
Houses 2 rooms39Number2019
Houses 3 rooms121Number2019
Houses 4 rooms269Number2019
Houses 5 rooms384Number2019
Houses 6 rooms228Number2019
Houses 7+ rooms 133Number2019
Houses 1-2 rooms43Number2019
Houses 3-4 rooms390Number2019
Houses 5+ rooms745Number2019
1-2 rooms4%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms63%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2234,00Number2017
Voter turnout Bundestag64Number2017
Votes valid Bundestag1.422Number2017
Votes Bundestag CDU/CSU482Number2017
Votes Bundestag SPD289Number2017
Votes Bundestag GRÜNE50Number2017
Votes Bundestag FDP105Number2017
Votes Bundestag DIE LINKE222Number2017
Votes Bundestag AfD229Number2017
Votes Bundestag other parties45Number2017
Votes Bundestag total1.422Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees1.023Number2019
Employees male492Number2019
Employees female531Number2019
Employees foreigner5Number2019
Employees male foreigner5Number2019
Employees female foreigner0Number2019
Unemployed28Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-201Number2018
Unemployed 15-252Number2018
Unemployed 55-6511Number2018
Unemployed long-term9Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.267Number2015
Income total€57.553Euro2015
Income tax€9.988Euro2015
PopulationValueUnitYear
Population2.541Number2019
Men1.262Number2019
Women1.279Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18324Number2019
18-30109Number2019
30-45357Number2019
45-60721Number2019
18-601.187Number2019
60-75744Number2019
60+1.030Number2019
Average age51Average number2019
Average age male51Average number2019
Average age female51Average number2019
Births18Number2018
Births male9Number2018
Births female9Number2018
1K Births7Number per 1000 inhabitants2018
Deaths22Number2018
Deaths male12Number2018
Deaths female10Number2018
1K Deaths9Number2018
0-353Number2019
Girls 0-329Number2019
Boys 0-324Number2019
3-653Number2019
Girls 3-626Number2019
Boys 3-627Number2019
6-1089Number2019
10-1583Number2019
15-1846Number2019
18-2025Number2019
20-2535Number2019
25-3049Number2019
30-35106Number2019
35-40140Number2019
40-45111Number2019
45-50158Number2019
50-55242Number2019
55-60321Number2019
60-65323Number2019
65-75421Number2019
Women 65-70225Number2019
Men 65-70196Number2019
75+286Number2019
Women 75+137Number2019
Men 75+149Number2019
% 0-108%Percentage2019
% 10-185%Percentage2019
% 18-304%Percentage2019
% 30-4514%Percentage2019
% 45-6028%Percentage2019
% 60+41%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 code130765665154Code2019
Region code 8 digits13076154Code13076154
Sorting code130765665154Code130765665154
Sorting code 8 digits13076154Code13076154
Region nameWittenfördenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality WittenfördenName2019
Region name in GermanGemeinde WittenfördenName2019
Direct subregionsno dataNumber2019
NUTS codeDE80OCode2019
Area12Area 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.