Information about the municipality Niendorf:

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

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

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Municipality Niendorf, 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 Niendorf

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Municipality Niendorf, 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 Niendorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room2Number2019
Houses 2 rooms7Number2019
Houses 3 rooms29Number2019
Houses 4 rooms42Number2019
Houses 5 rooms31Number2019
Houses 6 rooms23Number2019
Houses 7+ rooms 17Number2019
Houses 1-2 rooms9Number2019
Houses 3-4 rooms71Number2019
Houses 5+ rooms71Number2019
1-2 rooms6%Percentage2019
3-4 rooms47%Percentage2019
5+ rooms47%Percentage2019
ElectionsValueUnitYear
Voters Bundestag258,00Number2017
Voter turnout Bundestag53Number2017
Votes valid Bundestag134Number2017
Votes Bundestag CDU/CSU52Number2017
Votes Bundestag SPD20Number2017
Votes Bundestag GRÜNE8Number2017
Votes Bundestag FDP16Number2017
Votes Bundestag DIE LINKE17Number2017
Votes Bundestag AfD17Number2017
Votes Bundestag other parties4Number2017
Votes Bundestag total134Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employeesno dataNumber2018
Employees maleno dataNumber2018
Employees femaleno dataNumber2018
Employees foreignerno dataNumber2018
Employees male foreignerno dataNumber2018
Employees female foreignerno dataNumber2018
Unemployed9Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-652Number2018
Unemployed long-term4Number2018
% Unemployed3%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-251%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers168Number2015
Income total€6.140Euro2015
Income tax€985Euro2015
PopulationValueUnitYear
Population331Number2019
Men167Number2019
Women164Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1864Number2019
18-3033Number2019
30-4571Number2019
45-60103Number2019
18-60207Number2019
60-7542Number2019
60+60Number2019
Average age42Average number2019
Average age male42Average number2019
Average age female41Average number2019
Births3Number2018
Births male1Number2018
Births female2Number2018
1K Births10Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths6Number2018
0-313Number2019
Girls 0-36Number2019
Boys 0-37Number2019
3-610Number2019
Girls 3-65Number2019
Boys 3-65Number2019
6-1013Number2019
10-1518Number2019
15-1810Number2019
18-204Number2019
20-2514Number2019
25-3015Number2019
30-3527Number2019
35-4019Number2019
40-4525Number2019
45-5018Number2019
50-5549Number2019
55-6036Number2019
60-6516Number2019
65-7526Number2019
Women 65-7012Number2019
Men 65-7014Number2019
75+18Number2019
Women 75+11Number2019
Men 75+7Number2019
% 0-1011%Percentage2019
% 10-188%Percentage2019
% 18-3010%Percentage2019
% 30-4521%Percentage2019
% 45-6031%Percentage2019
% 60+18%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 code130745459058Code2019
Region code 8 digits13074058Code13074058
Sorting code130745459058Code130745459058
Sorting code 8 digits13074058Code13074058
Region nameNiendorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality NiendorfName2019
Region name in GermanGemeinde NiendorfName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area12Area 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.