Information about the municipality Rögnitz:

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

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

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Municipality Rögnitz, 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 Rögnitz

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Municipality Rögnitz, 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 Rögnitz.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms4Number2019
Houses 3 rooms10Number2019
Houses 4 rooms18Number2019
Houses 5 rooms34Number2019
Houses 6 rooms15Number2019
Houses 7+ rooms 19Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms28Number2019
Houses 5+ rooms68Number2019
1-2 rooms4%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms68%Percentage2019
ElectionsValueUnitYear
Voters Bundestag175,00Number2017
Voter turnout Bundestag55Number2017
Votes valid Bundestag95Number2017
Votes Bundestag CDU/CSU35Number2017
Votes Bundestag SPD11Number2017
Votes Bundestag GRÜNE8Number2017
Votes Bundestag FDP5Number2017
Votes Bundestag DIE LINKE11Number2017
Votes Bundestag AfD19Number2017
Votes Bundestag other parties6Number2017
Votes Bundestag total95Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD6%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE6%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees79Number2019
Employees male40Number2019
Employees female39Number2019
Employees foreigner4Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed7Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-653Number2018
Unemployed long-term3Number2018
% Unemployed4%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 55-652%Percentage of the population2018
% Unemployed long-term2%Percentage of the population2018
IncomeValueUnitYear
Income receivers93Number2015
Income total€2.906Euro2015
Income tax€405Euro2015
PopulationValueUnitYear
Population200Number2019
Men97Number2019
Women103Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-1822Number2019
18-3020Number2019
30-4536Number2019
45-6055Number2019
18-60111Number2019
60-7539Number2019
60+67Number2019
Average age50Average number2019
Average age male50Average number2019
Average age female49Average number2019
Births3Number2018
Births male2Number2018
Births female1Number2018
1K Births15Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths10Number2018
0-32Number2019
Girls 0-31Number2019
Boys 0-31Number2019
3-61Number2019
Girls 3-60Number2019
Boys 3-61Number2019
6-106Number2019
10-157Number2019
15-186Number2019
18-201Number2019
20-2510Number2019
25-309Number2019
30-3511Number2019
35-409Number2019
40-4516Number2019
45-5011Number2019
50-5522Number2019
55-6022Number2019
60-6515Number2019
65-7524Number2019
Women 65-7011Number2019
Men 65-7013Number2019
75+28Number2019
Women 75+16Number2019
Men 75+12Number2019
% 0-104%Percentage2019
% 10-186%Percentage2019
% 18-3010%Percentage2019
% 30-4518%Percentage2019
% 45-6028%Percentage2019
% 60+34%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 code130745452070Code2019
Region code 8 digits13074070Code13074070
Sorting code130745452070Code130745452070
Sorting code 8 digits13074070Code13074070
Region nameRögnitzName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality RögnitzName2019
Region name in GermanGemeinde RögnitzName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area11Area 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.