Information about the rural district Vorpommern-Rügen:

Population numbers per year
The number of inhabitants in the rural district Vorpommern-Rügen

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Population numbers in the rural district Vorpommern-Rügen 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 Vorpommern-Rügen
Map of State Mecklenburg-West Pomerania with the population per district.District Vorpommern-Rügen 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 State Mecklenburg-West Pomerania with the population per district.District Vorpommern-Rügen is highlighted with a red edge. The numbers at the map represent the following districts: 1: rural district Vorpommern-Rügen, 2: independent city district Rostock, 3: rural district Rostock, 4: rural district Nordwestmecklenburg, 5: rural district Vorpommern-Greifswald, 6: independent city district Schwerin, 7: rural district Mecklenburgische Seenplatte, 8: rural district Ludwigslust-Parchim.

Population per age group
The percentage of inhabitants per age group in the rural district Vorpommern-Rügen

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Rural district Vorpommern-Rügen, 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 rural district Vorpommern-Rügen

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Rural district Vorpommern-Rügen, 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 rural district Vorpommern-Rügen.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the rural district Vorpommern-Rügen. Select a category to display the related topics:

BusinessValueUnitYear
Businesses64Number2017
Active persons3.569Number2017
Gross wages€97.899Euro2017
DwellingsValueUnitYear
Houses 1 room3.637Number2019
Houses 2 rooms15.684Number2019
Houses 3 rooms33.081Number2019
Houses 4 rooms37.641Number2019
Houses 5 rooms23.139Number2019
Houses 6 rooms11.472Number2019
Houses 7+ rooms 7.737Number2019
Houses 1-2 rooms19.321Number2019
Houses 3-4 rooms70.722Number2019
Houses 5+ rooms42.348Number2019
1-2 rooms15%Percentage2019
3-4 rooms53%Percentage2019
5+ rooms32%Percentage2019
ElectionsValueUnitYear
Voters Bundestag187092,00Number2017
Voter turnout Bundestag70Number2017
Votes valid Bundestag128.365Number2017
Votes Bundestag CDU/CSU43.496Number2017
Votes Bundestag SPD15.681Number2017
Votes Bundestag GRÜNE5.154Number2017
Votes Bundestag FDP8.356Number2017
Votes Bundestag DIE LINKE23.156Number2017
Votes Bundestag AfD26.257Number2017
Votes Bundestag other parties6.265Number2017
Votes Bundestag total128.365Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE12%Percentage2017
% Votes Bundestag AfD14%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees84.562Number2019
Employees male42.390Number2019
Employees female42.172Number2019
Employees foreigner3.436Number2019
Employees male foreigner2.082Number2019
Employees female foreigner1.354Number2019
Unemployed10.302Number2018
Unemployed foreigners724Number2018
Unemployed severely disabled592Number2018
Unemployed 15-20238Number2018
Unemployed 15-25796Number2018
Unemployed 55-652.743Number2018
Unemployed long-term2.738Number2018
% Unemployed5%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 receivers98.615Number2015
Income total€2.897.449Euro2015
Income tax€415.772Euro2015
PopulationValueUnitYear
Population224.684Number2019
Men110.477Number2019
Women114.207Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1832.806Number2019
18-3020.024Number2019
30-4539.541Number2019
45-6054.376Number2019
18-60113.941Number2019
60-7546.607Number2019
60+77.937Number2019
Average age48Average number2019
Average age male47Average number2019
Average age female50Average number2019
Births1.658Number2018
Births male836Number2018
Births female822Number2018
1K Births7Number per 1000 inhabitants2018
Deaths3.076Number2018
Deaths male1.613Number2018
Deaths female1.463Number2018
1K Deaths14Number2018
0-35.097Number2019
Girls 0-32.531Number2019
Boys 0-32.566Number2019
3-65.465Number2019
Girls 3-62.700Number2019
Boys 3-62.765Number2019
6-107.772Number2019
10-159.254Number2019
15-185.218Number2019
18-203.491Number2019
20-257.257Number2019
25-309.276Number2019
30-3513.551Number2019
35-4013.861Number2019
40-4512.129Number2019
45-5013.434Number2019
50-5518.846Number2019
55-6022.096Number2019
60-6519.520Number2019
65-7527.087Number2019
Women 65-7014.153Number2019
Men 65-7012.934Number2019
75+31.330Number2019
Women 75+18.908Number2019
Men 75+12.422Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-309%Percentage2019
% 30-4518%Percentage2019
% 45-6024%Percentage2019
% 60+35%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 code13073Code2019
Region code 8 digits13073Code13073
Sorting code130730000000Code130730000000
Sorting code 8 digits13073000Code13073000
Region nameVorpommern-RügenName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailrural districtCategorical type2019
Region name with typerural district Vorpommern-RügenName2019
Region name in GermanLandkreis Vorpommern-RügenName2019
Direct subregions103Number2019
NUTS codeDE80LCode2019
Area3.215Area 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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