Information about the municipality Perlin:

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

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Population numbers in the municipality Perlin 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 Perlin
Map of Rural district Nordwestmecklenburg with the population per municipality.Municipality Perlin 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 Perlin 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 Perlin 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 Perlin

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Municipality Perlin, 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 Perlin

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Municipality Perlin, 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 Perlin.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms11Number2019
Houses 3 rooms30Number2019
Houses 4 rooms43Number2019
Houses 5 rooms56Number2019
Houses 6 rooms28Number2019
Houses 7+ rooms 15Number2019
Houses 1-2 rooms11Number2019
Houses 3-4 rooms73Number2019
Houses 5+ rooms99Number2019
1-2 rooms6%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms54%Percentage2019
ElectionsValueUnitYear
Voters Bundestag313,00Number2017
Voter turnout Bundestag59Number2017
Votes valid Bundestag183Number2017
Votes Bundestag CDU/CSU44Number2017
Votes Bundestag SPD28Number2017
Votes Bundestag GRÜNE2Number2017
Votes Bundestag FDP5Number2017
Votes Bundestag DIE LINKE29Number2017
Votes Bundestag AfD68Number2017
Votes Bundestag other parties7Number2017
Votes Bundestag total183Number2017
% Votes Bundestag CDU/CSU14%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP2%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD22%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees180Number2019
Employees male96Number2019
Employees female84Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed11Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-653Number2018
Unemployed long-term2Number2018
% Unemployed3%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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers163Number2015
Income total€5.026Euro2015
Income tax€627Euro2015
PopulationValueUnitYear
Population384Number2019
Men193Number2019
Women191Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1873Number2019
18-3022Number2019
30-4577Number2019
45-60107Number2019
18-60206Number2019
60-7580Number2019
60+105Number2019
Average age45Average number2019
Average age male45Average number2019
Average age female44Average number2019
Births2Number2018
Births male1Number2018
Births female1Number2018
1K Births5Number per 1000 inhabitants2018
Deaths4Number2018
Deaths male3Number2018
Deaths female1Number2018
1K Deaths10Number2018
0-39Number2019
Girls 0-36Number2019
Boys 0-33Number2019
3-69Number2019
Girls 3-65Number2019
Boys 3-64Number2019
6-1023Number2019
10-1517Number2019
15-1815Number2019
18-205Number2019
20-258Number2019
25-309Number2019
30-3518Number2019
35-4035Number2019
40-4524Number2019
45-5025Number2019
50-5536Number2019
55-6046Number2019
60-6544Number2019
65-7536Number2019
Women 65-7016Number2019
Men 65-7020Number2019
75+25Number2019
Women 75+16Number2019
Men 75+9Number2019
% 0-1011%Percentage2019
% 10-188%Percentage2019
% 18-306%Percentage2019
% 30-4520%Percentage2019
% 45-6028%Percentage2019
% 60+27%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 code130745455061Code2019
Region code 8 digits13074061Code13074061
Sorting code130745455061Code130745455061
Sorting code 8 digits13074061Code13074061
Region namePerlinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality PerlinName2019
Region name in GermanGemeinde PerlinName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area13Area 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.