Information about the municipality Pampow:

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

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

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Municipality Pampow, 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 Pampow

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Municipality Pampow, 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 Pampow.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room47Number2019
Houses 2 rooms133Number2019
Houses 3 rooms289Number2019
Houses 4 rooms291Number2019
Houses 5 rooms414Number2019
Houses 6 rooms195Number2019
Houses 7+ rooms 124Number2019
Houses 1-2 rooms180Number2019
Houses 3-4 rooms580Number2019
Houses 5+ rooms733Number2019
1-2 rooms12%Percentage2019
3-4 rooms39%Percentage2019
5+ rooms49%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2503,00Number2017
Voter turnout Bundestag60Number2017
Votes valid Bundestag1.497Number2017
Votes Bundestag CDU/CSU533Number2017
Votes Bundestag SPD245Number2017
Votes Bundestag GRÜNE45Number2017
Votes Bundestag FDP100Number2017
Votes Bundestag DIE LINKE227Number2017
Votes Bundestag AfD280Number2017
Votes Bundestag other parties67Number2017
Votes Bundestag total1.497Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees1.336Number2019
Employees male640Number2019
Employees female696Number2019
Employees foreigner12Number2019
Employees male foreigner6Number2019
Employees female foreigner6Number2019
Unemployed39Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-6515Number2018
Unemployed long-term13Number2018
% 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 receivers1.485Number2015
Income total€54.551Euro2015
Income tax€8.298Euro2015
PopulationValueUnitYear
Population3.041Number2019
Men1.481Number2019
Women1.560Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18487Number2019
18-30239Number2019
30-45583Number2019
45-60740Number2019
18-601.562Number2019
60-75686Number2019
60+992Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female47Average number2019
Births20Number2018
Births male10Number2018
Births female10Number2018
1K Births7Number per 1000 inhabitants2018
Deaths24Number2018
Deaths male15Number2018
Deaths female9Number2018
1K Deaths8Number2018
0-380Number2019
Girls 0-338Number2019
Boys 0-342Number2019
3-693Number2019
Girls 3-639Number2019
Boys 3-654Number2019
6-10121Number2019
10-15120Number2019
15-1873Number2019
18-2048Number2019
20-2577Number2019
25-30114Number2019
30-35201Number2019
35-40206Number2019
40-45176Number2019
45-50193Number2019
50-55261Number2019
55-60286Number2019
60-65316Number2019
65-75370Number2019
Women 65-70184Number2019
Men 65-70186Number2019
75+306Number2019
Women 75+169Number2019
Men 75+137Number2019
% 0-1010%Percentage2019
% 10-186%Percentage2019
% 18-308%Percentage2019
% 30-4519%Percentage2019
% 45-6024%Percentage2019
% 60+33%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 code130765665107Code2019
Region code 8 digits13076107Code13076107
Sorting code130765665107Code130765665107
Sorting code 8 digits13076107Code13076107
Region namePampowName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality PampowName2019
Region name in GermanGemeinde PampowName2019
Direct subregionsno dataNumber2019
NUTS codeDE80OCode2019
Area11Area 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.

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