Information about the municipality Wees:

View the information on over 100 topics about the municipality Wees! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Wees! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the municipality Wees

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Population numbers in the municipality Wees for the years 2009 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 Wees
Map of District Schleswig-Flensburg with the population per municipality.Municipality Wees 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 Wees 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 Wees 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 Wees

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Municipality Wees, 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 Wees

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Municipality Wees, 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 Wees.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses3Number2017
Active persons147Number2017
Gross wages€5.263Euro2017
DwellingsValueUnitYear
Houses 1 room6Number2019
Houses 2 rooms27Number2019
Houses 3 rooms126Number2019
Houses 4 rooms216Number2019
Houses 5 rooms288Number2019
Houses 6 rooms212Number2019
Houses 7+ rooms 208Number2019
Houses 1-2 rooms33Number2019
Houses 3-4 rooms342Number2019
Houses 5+ rooms708Number2019
1-2 rooms3%Percentage2019
3-4 rooms32%Percentage2019
5+ rooms65%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1897,00Number2017
Voter turnout Bundestag68Number2017
Votes valid Bundestag1.275Number2017
Votes Bundestag CDU/CSU446Number2017
Votes Bundestag SPD309Number2017
Votes Bundestag GRÜNE166Number2017
Votes Bundestag FDP156Number2017
Votes Bundestag DIE LINKE78Number2017
Votes Bundestag AfD102Number2017
Votes Bundestag other parties18Number2017
Votes Bundestag total1.275Number2017
% Votes Bundestag CDU/CSU24%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE9%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees818Number2019
Employees male382Number2019
Employees female436Number2019
Employees foreigner27Number2019
Employees male foreigner12Number2019
Employees female foreigner15Number2019
Unemployed30Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-253Number2018
Unemployed 55-657Number2018
Unemployed long-term6Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.109Number2015
Income total€48.245Euro2015
Income tax€8.041Euro2015
PopulationValueUnitYear
Population2.420Number2019
Men1.200Number2019
Women1.220Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18437Number2019
18-30244Number2019
30-45424Number2019
45-60624Number2019
18-601.292Number2019
60-75419Number2019
60+691Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births16Number2018
Births male9Number2018
Births female7Number2018
1K Births7Number per 1000 inhabitants2018
Deaths18Number2018
Deaths male11Number2018
Deaths female7Number2018
1K Deaths7Number2018
0-364Number2019
Girls 0-327Number2019
Boys 0-337Number2019
3-670Number2019
Girls 3-634Number2019
Boys 3-636Number2019
6-1094Number2019
10-15133Number2019
15-1876Number2019
18-2062Number2019
20-2598Number2019
25-3084Number2019
30-35120Number2019
35-40148Number2019
40-45156Number2019
45-50185Number2019
50-55244Number2019
55-60195Number2019
60-65155Number2019
65-75264Number2019
Women 65-70147Number2019
Men 65-70117Number2019
75+272Number2019
Women 75+132Number2019
Men 75+140Number2019
% 0-109%Percentage2019
% 10-189%Percentage2019
% 18-3010%Percentage2019
% 30-4518%Percentage2019
% 45-6026%Percentage2019
% 60+29%Percentage2019
Real estateValueUnitYear
Property tax A revenue€20.784Euro2018
Property tax B revenue€357.954Euro2018
Trade tax actual revenue€600.976Euro2018
Property tax A basic amount€5.773Euro2018
Property tax B basic amount€99.432Euro2018
Trade tax basic amount€158.152Euro2018
Property tax A rate€360Euro2018
Property tax B rate€360Euro2018
Trade tax rate€380Euro2018
Real tax raising force€1.125.094Euro2018
Trade tax levy€105.810Euro2018
Trade tax net€495.166Euro2018
Community share in income tax€1.213.766Euro2018
Community share in sales tax€128.318Euro2018
Tax revenue€2.361.368Euro2018
RegionalValueUnitYear
Region code010595937176Code2019
Region code 8 digits01059176Code01059176
Sorting code010595937176Code010595937176
Sorting code 8 digits01059176Code01059176
Region nameWeesName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality WeesName2019
Region name in GermanGemeinde WeesName2019
Direct subregionsno dataNumber2019
NUTS codeDEF0CCode2019
Area13Area in km²2019
ReligionValueUnitYear
Roman Catholic church107Number2011
Protestant church1.256Number2011
Other or none899Number2011
% Roman Catholic church5%Percentage2011
% Protestant church56%Percentage2011
% Other or none40%Percentage2011
Roman Catholic church German104Number2011
Protestant church German1.246Number2011
Other or none German859Number2011
% Roman Catholic church German5%Percentage2011
% Protestant church German56%Percentage2011
% Other or none German Foreign39%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign10Number2011
Other or none Foreign40Number2011
% Roman Catholic church Foreign6%Percentage2011
% Protestant church Foreign19%Percentage2011
% Other or none Foreign75%Percentage2011
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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