Information about the municipality Staven:

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

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Population numbers in the municipality Staven 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 Staven
Map of Rural district Mecklenburgische Seenplatte with the population per municipality.Municipality Staven 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 Mecklenburgische Seenplatte with the population per municipality.Municipality Staven is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Nossendorf, 2: municipality Kletzin, 3: municipality city Demmin, 4: municipality city Dargun, 5: municipality Warrenzin ...Show more... Map of Rural district Mecklenburgische Seenplatte with the population per municipality.Municipality Staven is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Nossendorf, 2: municipality Kletzin, 3: municipality city Demmin, 4: municipality city Dargun, 5: municipality Warrenzin, 6: municipality Siedenbrünzow, 7: municipality Schönfeld, 8: municipality Utzedel, 9: municipality Verchen, 10: municipality Beggerow, 11: municipality city Neukalen, 12: municipality Bartow, 13: municipality Hohenmocker, 14: municipality Meesiger, 15: municipality Borrentin, 16: municipality Sarow, 17: municipality Sommersdorf, 18: municipality Breest, 19: municipality Hohenbollentin, 20: municipality Gnevkow, 21: municipality Golchen, 22: municipality Kummerow, 23: municipality Altenhagen, 24: municipality Lindenberg, 25: municipality Burow, 26: municipality Gültz, 27: municipality Grammentin, 28: municipality Kentzlin, 29: municipality city Malchin, 30: municipality Werder, 31: municipality Siedenbollentin, 32: municipality Kriesow, 33: municipality Tützpatz, 34: municipality Grapzow, 35: municipality Röckwitz, 36: municipality Pripsleben, 37: municipality city Stavenhagen, 38: municipality Ivenack, 39: municipality Beseritz, 40: municipality city Altentreptow, 41: municipality Basedow, 42: municipality Duckow, 43: municipality Grischow, 44: municipality Gülzow, 45: municipality Wolde, 46: municipality Gielow, 47: municipality Brunn, 48: municipality Ritzerow, 49: municipality Vollrathsruhe, 50: municipality Jürgenstorf, 51: municipality Wildberg, 52: municipality city Friedland, 53: municipality Neddemin, 54: municipality Galenbeck, 55: municipality Datzetal, 56: municipality Groß Teetzleben, 57: municipality Zettemin, 58: municipality Knorrendorf, 59: municipality Moltzow, 60: municipality Faulenrost, 61: municipality Staven, 62: municipality Genzkow, 63: municipality Klocksin, 64: municipality Briggow, 65: municipality Kittendorf, 66: municipality Neverin, 67: municipality Breesen, 68: municipality Trollenhagen, 69: municipality Rosenow, 70: municipality Woggersin, 71: municipality Hohen Wangelin, 72: municipality Bredenfelde, 73: municipality Neuenkirchen, 74: municipality Peenehagen, 75: municipality Zirzow, 76: municipality Varchentin, 77: municipality Schönbeck, 78: municipality Mölln, 79: municipality Grabowhöfe, 80: municipality Blankenhof, 81: municipality Schönhausen, 82: municipality Voigtsdorf, 83: municipality Sponholz, 84: municipality Kublank, 85: municipality Torgelow am See, 86: municipality Nossentiner Hütte, 87: municipality Groß Plasten, 88: municipality Jabel, 89: municipality city Neubrandenburg, 90: municipality Möllenhagen, 91: municipality Groß Miltzow, 92: municipality Pragsdorf, 93: municipality Wulkenzin, 94: municipality Kuckssee, 95: municipality Neetzka, 96: municipality Alt Schwerin, 97: municipality Cölpin, 98: municipality Silz, 99: municipality city Penzlin, 100: municipality Schloen-Dratow, 101: municipality Ankershagen, 102: municipality Lindetal, 103: municipality city Waren (Müritz), 104: municipality city Malchow, 105: municipality Petersdorf, 106: municipality Göhren-Lebbin, 107: municipality city Burg Stargard, 108: municipality Klink, 109: municipality Holldorf, 110: municipality Kargow, 111: municipality Groß Nemerow, 112: municipality Penkow, 113: municipality city Woldegk, 114: municipality Hohenzieritz, 115: municipality Sietow, 116: municipality Klein Vielen, 117: municipality Zislow, 118: municipality Walow, 119: municipality Kratzeburg, 120: municipality Fünfseen, 121: municipality Gotthun, 122: municipality Blumenholz, 123: municipality Möllenbeck, 124: municipality Groß Kelle, 125: municipality Blankensee, 126: municipality Leizen, 127: municipality Ludorf, 128: municipality Stuer, 129: municipality city Röbel/Müritz, 130: municipality Rechlin, 131: municipality Altenhof, 132: municipality Carpin, 133: municipality Bütow, 134: municipality Grünow, 135: municipality city Neustrelitz, 136: municipality Fincken, 137: municipality Bollewick, 138: municipality Vipperow, 139: municipality Feldberger Seenlandschaft, 140: municipality Userin, 141: municipality Melz, 142: municipality Zepkow, 143: municipality Massow, 144: municipality Priborn, 145: municipality city Mirow, 146: municipality Wredenhagen, 147: municipality Wokuhl-Dabelow, 148: municipality Lärz, 149: municipality Grabow-Below, 150: municipality Buchholz, 151: municipality Kieve, 152: municipality Godendorf, 153: municipality city Wesenberg, 154: municipality Priepert, 155: municipality Wustrow, 156: municipality Schwarz ...Show less...

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

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Municipality Staven, 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 Staven

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Municipality Staven, 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 Staven.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room10Number2019
Houses 2 rooms41Number2019
Houses 3 rooms50Number2019
Houses 4 rooms49Number2019
Houses 5 rooms49Number2019
Houses 6 rooms29Number2019
Houses 7+ rooms 24Number2019
Houses 1-2 rooms51Number2019
Houses 3-4 rooms99Number2019
Houses 5+ rooms102Number2019
1-2 rooms20%Percentage2019
3-4 rooms39%Percentage2019
5+ rooms40%Percentage2019
ElectionsValueUnitYear
Voters Bundestag349,00Number2017
Voter turnout Bundestag66Number2017
Votes valid Bundestag227Number2017
Votes Bundestag CDU/CSU103Number2017
Votes Bundestag SPD19Number2017
Votes Bundestag GRÜNE7Number2017
Votes Bundestag FDP13Number2017
Votes Bundestag DIE LINKE33Number2017
Votes Bundestag AfD42Number2017
Votes Bundestag other parties10Number2017
Votes Bundestag total227Number2017
% Votes Bundestag CDU/CSU30%Percentage2017
% Votes Bundestag SPD5%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees164Number2019
Employees male87Number2019
Employees female77Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed15Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-658Number2018
Unemployed long-term5Number2018
% Unemployed4%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled1%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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers178Number2015
Income total€4.853Euro2015
Income tax€582Euro2015
PopulationValueUnitYear
Population383Number2019
Men190Number2019
Women193Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1852Number2019
18-3016Number2019
30-4564Number2019
45-60114Number2019
18-60194Number2019
60-7594Number2019
60+137Number2019
Average age50Average number2019
Average age male50Average number2019
Average age female50Average number2019
Births4Number2018
Births male1Number2018
Births female3Number2018
1K Births10Number per 1000 inhabitants2018
Deaths4Number2018
Deaths male3Number2018
Deaths female1Number2018
1K Deaths10Number2018
0-38Number2019
Girls 0-35Number2019
Boys 0-33Number2019
3-66Number2019
Girls 3-64Number2019
Boys 3-62Number2019
6-108Number2019
10-1517Number2019
15-1813Number2019
18-200Number2019
20-256Number2019
25-3010Number2019
30-3516Number2019
35-4025Number2019
40-4523Number2019
45-5033Number2019
50-5532Number2019
55-6049Number2019
60-6543Number2019
65-7551Number2019
Women 65-7025Number2019
Men 65-7026Number2019
75+43Number2019
Women 75+24Number2019
Men 75+19Number2019
% 0-106%Percentage2019
% 10-188%Percentage2019
% 18-304%Percentage2019
% 30-4517%Percentage2019
% 45-6030%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 code130715157141Code2019
Region code 8 digits13071141Code13071141
Sorting code130715157141Code130715157141
Sorting code 8 digits13071141Code13071141
Region nameStavenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality StavenName2019
Region name in GermanGemeinde StavenName2019
Direct subregionsno dataNumber2019
NUTS codeDE80JCode2019
Area15Area 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.