Information about the municipality Glasin:

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

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Population numbers in the municipality Glasin 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 Glasin
Map of Rural district Nordwestmecklenburg with the population per municipality.Municipality Glasin 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 Nordwestmecklenburg with the population per municipality.Municipality Glasin is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Boiensdorf, 2: municipality Insel Poel, 3: municipality Boltenhagen, 4: municipality Kalkhorst, 5: municipality Blowatz ...Show more... Map of Rural district Nordwestmecklenburg with the population per municipality.Municipality Glasin is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Boiensdorf, 2: municipality Insel Poel, 3: municipality Boltenhagen, 4: municipality Kalkhorst, 5: municipality Blowatz, 6: municipality city Klütz, 7: municipality Neuburg, 8: municipality Passee, 9: municipality Krusenhagen, 10: municipality Züsow, 11: municipality city Dassow, 12: municipality Zierow, 13: municipality Damshagen, 14: municipality Roggenstorf, 15: municipality Hohenkirchen, 16: municipality Benz, 17: municipality Warnow, 18: municipality Hornstorf, 19: municipality Glasin, 20: municipality city Wismar, 21: municipality Selmsdorf, 22: municipality Gägelow, 23: municipality city Neukloster, 24: municipality Stepenitztal, 25: municipality Barnekow, 26: municipality city Grevesmühlen, 27: municipality Lübberstorf, 28: municipality city Schönberg, 29: municipality Zurow, 30: municipality Metelsdorf, 31: municipality Menzendorf, 32: municipality Lübow, 33: municipality Grieben, 34: municipality Plüschow, 35: municipality Lockwisch, 36: municipality Dorf Mecklenburg, 37: municipality Lüdersdorf, 38: municipality Bernstorf, 39: municipality Roduchelstorf, 40: municipality Upahl, 41: municipality Jesendorf, 42: municipality Groß Stieten, 43: municipality Groß Siemz, 44: municipality Bobitz, 45: municipality city Warin, 46: municipality Niendorf, 47: municipality Rüting, 48: municipality Hohen Viecheln, 49: municipality city Rehna, 50: municipality Ventschow, 51: municipality Bibow, 52: municipality Testorf-Steinfort, 53: municipality Bad Kleinen, 54: municipality Rieps, 55: municipality Thandorf, 56: municipality Wedendorfersee, 57: municipality Utecht, 58: municipality Königsfeld, 59: municipality Zickhusen, 60: municipality Carlow, 61: municipality Veelböken, 62: municipality Mühlen Eichsen, 63: municipality Alt Meteln, 64: municipality Dalberg-Wendelstorf, 65: municipality Schlagsdorf, 66: municipality Groß Molzahn, 67: municipality Lübstorf, 68: municipality Holdorf, 69: municipality Dechow, 70: municipality Dragun, 71: municipality city Gadebusch, 72: municipality Klein Trebbow, 73: municipality Cramonshagen, 74: municipality Seehof, 75: municipality Roggendorf, 76: municipality Pingelshagen, 77: municipality Brüsewitz, 78: municipality Kneese, 79: municipality Lützow, 80: municipality Pokrent, 81: municipality Krembz, 82: municipality Gottesgabe, 83: municipality Grambow, 84: municipality Rögnitz, 85: municipality Schildetal, 86: municipality Perlin ...Show less...

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

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Municipality Glasin, 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 Glasin

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Municipality Glasin, 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 Glasin.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms11Number2019
Houses 3 rooms67Number2019
Houses 4 rooms94Number2019
Houses 5 rooms113Number2019
Houses 6 rooms64Number2019
Houses 7+ rooms 49Number2019
Houses 1-2 rooms12Number2019
Houses 3-4 rooms161Number2019
Houses 5+ rooms226Number2019
1-2 rooms3%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms57%Percentage2019
ElectionsValueUnitYear
Voters Bundestag665,00Number2017
Voter turnout Bundestag49Number2017
Votes valid Bundestag323Number2017
Votes Bundestag CDU/CSU104Number2017
Votes Bundestag SPD66Number2017
Votes Bundestag GRÜNE12Number2017
Votes Bundestag FDP9Number2017
Votes Bundestag DIE LINKE35Number2017
Votes Bundestag AfD83Number2017
Votes Bundestag other parties14Number2017
Votes Bundestag total323Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP1%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees372Number2019
Employees male196Number2019
Employees female176Number2019
Employees foreigner3Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed24Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-658Number2018
Unemployed long-term8Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers357Number2015
Income total€9.016Euro2015
Income tax€994Euro2015
PopulationValueUnitYear
Population790Number2019
Men407Number2019
Women383Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-18119Number2019
18-3083Number2019
30-45160Number2019
45-60220Number2019
18-60463Number2019
60-75136Number2019
60+208Number2019
Average age45Average number2019
Average age male45Average number2019
Average age female45Average number2019
Births10Number2018
Births male4Number2018
Births female6Number2018
1K Births13Number per 1000 inhabitants2018
Deaths7Number2018
Deaths male5Number2018
Deaths female2Number2018
1K Deaths9Number2018
0-318Number2019
Girls 0-312Number2019
Boys 0-36Number2019
3-622Number2019
Girls 3-611Number2019
Boys 3-611Number2019
6-1028Number2019
10-1535Number2019
15-1816Number2019
18-2017Number2019
20-2527Number2019
25-3039Number2019
30-3559Number2019
35-4046Number2019
40-4555Number2019
45-5057Number2019
50-5576Number2019
55-6087Number2019
60-6568Number2019
65-7568Number2019
Women 65-7032Number2019
Men 65-7036Number2019
75+72Number2019
Women 75+43Number2019
Men 75+29Number2019
% 0-109%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4520%Percentage2019
% 45-6028%Percentage2019
% 60+26%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 code130745457023Code2019
Region code 8 digits13074023Code13074023
Sorting code130745457023Code130745457023
Sorting code 8 digits13074023Code13074023
Region nameGlasinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GlasinName2019
Region name in GermanGemeinde GlasinName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area40Area 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.