Information about the municipality Gägelow:

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

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

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Municipality Gägelow, 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 Gägelow

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Municipality Gägelow, 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 Gägelow.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room3Number2019
Houses 2 rooms72Number2019
Houses 3 rooms220Number2019
Houses 4 rooms275Number2019
Houses 5 rooms310Number2019
Houses 6 rooms174Number2019
Houses 7+ rooms 141Number2019
Houses 1-2 rooms75Number2019
Houses 3-4 rooms495Number2019
Houses 5+ rooms625Number2019
1-2 rooms6%Percentage2019
3-4 rooms41%Percentage2019
5+ rooms52%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2093,00Number2017
Voter turnout Bundestag60Number2017
Votes valid Bundestag1.241Number2017
Votes Bundestag CDU/CSU371Number2017
Votes Bundestag SPD217Number2017
Votes Bundestag GRÜNE27Number2017
Votes Bundestag FDP48Number2017
Votes Bundestag DIE LINKE251Number2017
Votes Bundestag AfD256Number2017
Votes Bundestag other parties71Number2017
Votes Bundestag total1.241Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP2%Percentage2017
% Votes Bundestag DIE LINKE12%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees1.069Number2019
Employees male547Number2019
Employees female522Number2019
Employees foreigner31Number2019
Employees male foreigner18Number2019
Employees female foreigner13Number2019
Unemployed80Number2018
Unemployed foreigners5Number2018
Unemployed severely disabled4Number2018
Unemployed 15-200Number2018
Unemployed 15-255Number2018
Unemployed 55-6527Number2018
Unemployed long-term30Number2018
% Unemployed3%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 receivers1.128Number2015
Income total€39.226Euro2015
Income tax€5.633Euro2015
PopulationValueUnitYear
Population2.600Number2019
Men1.315Number2019
Women1.285Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18423Number2019
18-30208Number2019
30-45453Number2019
45-60704Number2019
18-601.365Number2019
60-75569Number2019
60+812Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female47Average number2019
Births19Number2018
Births male9Number2018
Births female10Number2018
1K Births7Number per 1000 inhabitants2018
Deaths15Number2018
Deaths male8Number2018
Deaths female7Number2018
1K Deaths6Number2018
0-361Number2019
Girls 0-331Number2019
Boys 0-330Number2019
3-664Number2019
Girls 3-628Number2019
Boys 3-636Number2019
6-10110Number2019
10-15109Number2019
15-1879Number2019
18-2040Number2019
20-2582Number2019
25-3086Number2019
30-35146Number2019
35-40151Number2019
40-45156Number2019
45-50185Number2019
50-55255Number2019
55-60264Number2019
60-65253Number2019
65-75316Number2019
Women 65-70166Number2019
Men 65-70150Number2019
75+243Number2019
Women 75+129Number2019
Men 75+114Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-308%Percentage2019
% 30-4517%Percentage2019
% 45-6027%Percentage2019
% 60+31%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 code130745453022Code2019
Region code 8 digits13074022Code13074022
Sorting code130745453022Code130745453022
Sorting code 8 digits13074022Code13074022
Region nameGägelowName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GägelowName2019
Region name in GermanGemeinde GägelowName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area23Area 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.