Information about the municipality Stapel:

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

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Population numbers in the municipality Stapel for the years 2018 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 Stapel
Map of District Schleswig-Flensburg with the population per municipality.Municipality Stapel 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 District Schleswig-Flensburg with the population per municipality.Municipality Stapel is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Böxlund, 2: municipality Weesby, 3: municipality city Glücksburg (Ostsee), 4: municipality Jardelund, 5: municipality Munkbrarup ...Show more... Map of District Schleswig-Flensburg with the population per municipality.Municipality Stapel is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Böxlund, 2: municipality Weesby, 3: municipality city Glücksburg (Ostsee), 4: municipality Jardelund, 5: municipality Munkbrarup, 6: municipality Harrislee, 7: municipality Medelby, 8: municipality Westerholz, 9: municipality Wees, 10: municipality Langballig, 11: municipality Holt, 12: municipality Ringsberg, 13: municipality Osterby, 14: municipality Dollerup, 15: municipality Maasbüll, 16: municipality Nieby, 17: municipality Wallsbüll, 18: municipality Grundhof, 19: municipality Steinbergkirche, 20: municipality Husby, 21: municipality Steinberg, 22: municipality Schafflund, 23: municipality Tastrup, 24: municipality Pommerby, 25: municipality Handewitt, 26: municipality Hürup, 27: municipality Meyn, 28: municipality Niesgrau, 29: municipality Gelting, 30: municipality Hörup, 31: municipality Kronsgaard, 32: municipality Nordhackstedt, 33: municipality Ausacker, 34: municipality Freienwill, 35: municipality Stangheck, 36: municipality Sörup, 37: municipality Sterup, 38: municipality Hasselberg, 39: municipality Rabenholz, 40: municipality Esgrus, 41: municipality Oeversee, 42: municipality Ahneby, 43: municipality Großenwiehe, 44: municipality Maasholm, 45: municipality Großsolt, 46: municipality Lindewitt, 47: municipality Stoltebüll, 48: municipality Rabel, 49: municipality Rügge, 50: municipality Wanderup, 51: municipality Mittelangeln, 52: municipality Mohrkirch, 53: municipality Oersberg, 54: municipality Scheggerott, 55: municipality Saustrup, 56: municipality Tarp, 57: municipality city Kappeln, 58: municipality Wagersrott, 59: municipality Jerrishoe, 60: municipality Havetoft, 61: municipality Norderbrarup, 62: municipality Schnarup-Thumby, 63: municipality Böel, 64: municipality Rabenkirchen-Faulück, 65: municipality Sieverstedt, 66: municipality Grödersby, 67: municipality Janneby, 68: municipality Süderbrarup, 69: municipality Uelsby, 70: municipality city Arnis, 71: municipality Struxdorf, 72: municipality Eggebek, 73: municipality Klappholz, 74: municipality Jörl, 75: municipality Nottfeld, 76: municipality Boren, 77: municipality Langstedt, 78: municipality Böklund, 79: municipality Loit, 80: municipality Twedt, 81: municipality Steinfeld, 82: municipality Stolk, 83: municipality Süderhackstedt, 84: municipality Bollingstedt, 85: municipality Süderfahrenstedt, 86: municipality Tolk, 87: municipality Sollerup, 88: municipality Idstedt, 89: municipality Ulsnis, 90: municipality Taarstedt, 91: municipality Nübel, 92: municipality Jübek, 93: municipality Neuberend, 94: municipality Lürschau, 95: municipality Schaalby, 96: municipality Brodersby-Goltoft, 97: municipality Silberstedt, 98: municipality city Schleswig, 99: municipality Treia, 100: municipality Schuby, 101: municipality Borgwedel, 102: municipality Fahrdorf, 103: municipality Hüsby, 104: municipality Busdorf, 105: municipality Ellingstedt, 106: municipality Dannewerk, 107: municipality Selk, 108: municipality Hollingstedt, 109: municipality Geltorf, 110: municipality Jagel, 111: municipality Lottorf, 112: municipality Klein Rheide, 113: municipality Groß Rheide, 114: municipality Dörpstedt, 115: municipality Börm, 116: municipality Wohlde, 117: municipality Kropp, 118: municipality Klein Bennebek, 119: municipality Alt Bennebek, 120: municipality Bergenhusen, 121: municipality Tetenhusen, 122: municipality Stapel, 123: municipality Meggerdorf, 124: municipality Erfde, 125: municipality Tielen ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Stapel

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Municipality Stapel, 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 Stapel

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Municipality Stapel, 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 Stapel.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumberno data
Active personsno dataNumberno data
Gross wagesno dataEurono data
DwellingsValueUnitYear
Houses 1 room6Number2019
Houses 2 rooms45Number2019
Houses 3 rooms152Number2019
Houses 4 rooms195Number2019
Houses 5 rooms200Number2019
Houses 6 rooms196Number2019
Houses 7+ rooms 179Number2019
Houses 1-2 rooms51Number2019
Houses 3-4 rooms347Number2019
Houses 5+ rooms575Number2019
1-2 rooms5%Percentage2019
3-4 rooms36%Percentage2019
5+ rooms59%Percentage2019
ElectionsValueUnitYear
Voters Bundestagno dataNumberno data
Voter turnout Bundestagno dataNumberno data
Votes valid Bundestagno dataNumberno data
Votes Bundestag CDU/CSUno dataNumberno data
Votes Bundestag SPDno dataNumberno data
Votes Bundestag GRÜNEno dataNumberno data
Votes Bundestag FDPno dataNumberno data
Votes Bundestag DIE LINKEno dataNumberno data
Votes Bundestag AfDno dataNumberno data
Votes Bundestag other partiesno dataNumberno data
Votes Bundestag totalno dataNumberno data
% Votes Bundestag CDU/CSUno dataPercentageno data
% Votes Bundestag SPDno dataPercentageno data
% Votes Bundestag GRÜNEno dataPercentageno data
% Votes Bundestag FDPno dataPercentageno data
% Votes Bundestag DIE LINKEno dataPercentageno data
% Votes Bundestag AfDno dataPercentageno data
% Votes Bundestag other partiesno dataPercentageno data
EmploymentValueUnitYear
Employees597Number2019
Employees male318Number2019
Employees female279Number2019
Employees foreigner11Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed51Number2018
Unemployed foreigners6Number2018
Unemployed severely disabled3Number2018
Unemployed 15-201Number2018
Unemployed 15-257Number2018
Unemployed 55-6520Number2018
Unemployed long-term23Number2018
% 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 receivers772Number2015
Income total€24.618Euro2015
Income tax€3.468Euro2015
PopulationValueUnitYear
Population1.807Number2019
Men929Number2019
Women878Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18311Number2019
18-30194Number2019
30-45263Number2019
45-60415Number2019
18-60872Number2019
60-75396Number2019
60+624Number2019
Average age47Average number2019
Average age male46Average number2019
Average age female47Average number2019
Birthsno dataNumberno data
Births maleno dataNumberno data
Births femaleno dataNumberno data
1K Birthsno dataNumber per 1000 inhabitantsno data
Deathsno dataNumberno data
Deaths maleno dataNumberno data
Deaths femaleno dataNumberno data
1K Deathsno dataNumberno data
0-351Number2019
Girls 0-321Number2019
Boys 0-330Number2019
3-636Number2019
Girls 3-619Number2019
Boys 3-617Number2019
6-1063Number2019
10-15101Number2019
15-1860Number2019
18-2035Number2019
20-2573Number2019
25-3086Number2019
30-3585Number2019
35-4079Number2019
40-4599Number2019
45-50111Number2019
50-55156Number2019
55-60148Number2019
60-65134Number2019
65-75262Number2019
Women 65-70125Number2019
Men 65-70137Number2019
75+228Number2019
Women 75+121Number2019
Men 75+107Number2019
% 0-108%Percentage2019
% 10-189%Percentage2019
% 18-3011%Percentage2019
% 30-4515%Percentage2019
% 45-6023%Percentage2019
% 60+35%Percentage2019
Real estateValueUnitYear
Property tax A revenue€29.735Euro2018
Property tax B revenue€202.592Euro2018
Trade tax actual revenue€575.141Euro2018
Property tax A basic amount€9.292Euro2018
Property tax B basic amount€63.310Euro2018
Trade tax basic amount€164.326Euro2018
Property tax A rate€320Euro2018
Property tax B rate€320Euro2018
Trade tax rate€350Euro2018
Real tax raising force€991.246Euro2018
Trade tax levy€112.232Euro2018
Trade tax net€462.909Euro2018
Community share in income tax€593.725Euro2018
Community share in sales tax€68.337Euro2018
Tax revenue€1.541.076Euro2018
RegionalValueUnitYear
Region code010595996188Code2019
Region code 8 digits01059188Code01059188
Sorting code010595996188Code010595996188
Sorting code 8 digits01059188Code01059188
Region nameStapelName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality StapelName2019
Region name in GermanGemeinde StapelName2019
Direct subregionsno dataNumber2019
NUTS codeDEF0CCode2019
Area33Area 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.