Information about the municipality Dechow:

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

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

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Municipality Dechow, 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 Dechow

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Municipality Dechow, 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 Dechow.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms18Number2019
Houses 4 rooms20Number2019
Houses 5 rooms23Number2019
Houses 6 rooms12Number2019
Houses 7+ rooms 15Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms38Number2019
Houses 5+ rooms50Number2019
1-2 rooms3%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms55%Percentage2019
ElectionsValueUnitYear
Voters Bundestag150,00Number2017
Voter turnout Bundestag63Number2017
Votes valid Bundestag94Number2017
Votes Bundestag CDU/CSU37Number2017
Votes Bundestag SPD15Number2017
Votes Bundestag GRÜNE10Number2017
Votes Bundestag FDP7Number2017
Votes Bundestag DIE LINKE7Number2017
Votes Bundestag AfD17Number2017
Votes Bundestag other parties1Number2017
Votes Bundestag total94Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees86Number2019
Employees male46Number2019
Employees female40Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed3Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term2Number2018
% Unemployed2%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 receivers111Number2015
Income total€4.015Euro2015
Income tax€608Euro2015
PopulationValueUnitYear
Population175Number2019
Men89Number2019
Women86Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1829Number2019
18-3014Number2019
30-4528Number2019
45-6063Number2019
18-60105Number2019
60-7527Number2019
60+41Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female46Average number2019
Births2Number2018
Births male0Number2018
Births female2Number2018
1K Births11Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths11Number2018
0-32Number2019
Girls 0-32Number2019
Boys 0-30Number2019
3-61Number2019
Girls 3-60Number2019
Boys 3-61Number2019
6-102Number2019
10-1511Number2019
15-1813Number2019
18-203Number2019
20-254Number2019
25-307Number2019
30-357Number2019
35-4010Number2019
40-4511Number2019
45-5014Number2019
50-5532Number2019
55-6017Number2019
60-658Number2019
65-7519Number2019
Women 65-7014Number2019
Men 65-705Number2019
75+14Number2019
Women 75+6Number2019
Men 75+8Number2019
% 0-103%Percentage2019
% 10-1814%Percentage2019
% 18-308%Percentage2019
% 30-4516%Percentage2019
% 45-6036%Percentage2019
% 60+23%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 code130745458018Code2019
Region code 8 digits13074018Code13074018
Sorting code130745458018Code130745458018
Sorting code 8 digits13074018Code13074018
Region nameDechowName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality DechowName2019
Region name in GermanGemeinde DechowName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
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.