Information about the municipality city Weißensee:

Population numbers per year
The number of inhabitants in the municipality city Weißensee

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Population numbers in the municipality city Weißensee 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 Weißensee
Map of Rural district Sömmerda with the population per municipality.Municipality Weißensee 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 Sömmerda with the population per municipality.Municipality Weißensee is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Bilzingsleben, 2: municipality Kannawurf, 3: municipality Frömmstedt, 4: municipality city Kindelbrück, 5: municipality Büchel ...Show more... Map of Rural district Sömmerda with the population per municipality.Municipality Weißensee is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Bilzingsleben, 2: municipality Kannawurf, 3: municipality Frömmstedt, 4: municipality city Kindelbrück, 5: municipality Büchel, 6: municipality Riethgen, 7: municipality Beichlingen, 8: municipality Herrnschwende, 9: municipality Günstedt, 10: municipality Griefstedt, 11: municipality city Kölleda, 12: municipality Ostramondra, 13: municipality city Weißensee, 14: municipality Gangloffsömmern, 15: municipality city Rastenberg, 16: municipality city Sömmerda, 17: municipality Straußfurt, 18: municipality Großneuhausen, 19: municipality Olbersleben, 20: municipality Wundersleben, 21: municipality Schwerstedt, 22: municipality Hardisleben, 23: municipality Eßleben-Teutleben, 24: municipality Kleinneuhausen, 25: municipality Henschleben, 26: municipality Ellersleben, 27: municipality Mannstedt, 28: municipality city Buttstädt, 29: municipality Werningshausen, 30: municipality Guthmannshausen, 31: municipality Vogelsberg, 32: municipality Sprötau, 33: municipality Kleinbrembach, 34: municipality Haßleben, 35: municipality city Gebesee, 36: municipality Großbrembach, 37: municipality Schloßvippach, 38: municipality Ringleben, 39: municipality Rudersdorf, 40: municipality Großrudestedt, 41: municipality Alperstedt, 42: municipality Riethnordhausen, 43: municipality Andisleben, 44: municipality Markvippach, 45: municipality Eckstedt, 46: municipality Nöda, 47: municipality Walschleben, 48: municipality Udestedt, 49: municipality Elxleben, 50: municipality Ollendorf, 51: municipality Witterda, 52: municipality Großmölsen, 53: municipality Kleinmölsen ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Weißensee

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Municipality city Weißensee, 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 city Weißensee

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Municipality city Weißensee, 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 city Weißensee.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses7Number2017
Active persons1.285Number2017
Gross wages€50.368Euro2017
DwellingsValueUnitYear
Houses 1 room44Number2019
Houses 2 rooms86Number2019
Houses 3 rooms329Number2019
Houses 4 rooms391Number2019
Houses 5 rooms458Number2019
Houses 6 rooms295Number2019
Houses 7+ rooms 195Number2019
Houses 1-2 rooms130Number2019
Houses 3-4 rooms720Number2019
Houses 5+ rooms948Number2019
1-2 rooms7%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms53%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2844,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag2.068Number2017
Votes Bundestag CDU/CSU647Number2017
Votes Bundestag SPD234Number2017
Votes Bundestag GRÜNE59Number2017
Votes Bundestag FDP156Number2017
Votes Bundestag DIE LINKE317Number2017
Votes Bundestag AfD518Number2017
Votes Bundestag other parties137Number2017
Votes Bundestag total2.068Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE11%Percentage2017
% Votes Bundestag AfD18%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees1.363Number2019
Employees male717Number2019
Employees female646Number2019
Employees foreigner30Number2019
Employees male foreigner19Number2019
Employees female foreigner11Number2019
Unemployed128Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled15Number2018
Unemployed 15-202Number2018
Unemployed 15-258Number2018
Unemployed 55-6550Number2018
Unemployed long-term51Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.507Number2015
Income total€43.002Euro2015
Income tax€5.485Euro2015
PopulationValueUnitYear
Population3.452Number2019
Men1.704Number2019
Women1.748Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18556Number2019
18-30291Number2019
30-45658Number2019
45-60801Number2019
18-601.750Number2019
60-75744Number2019
60+1.146Number2019
Average age47Average number2019
Average age male46Average number2019
Average age female48Average number2019
Births36Number2018
Births male22Number2018
Births female14Number2018
1K Births10Number per 1000 inhabitants2018
Deaths37Number2018
Deaths male15Number2018
Deaths female22Number2018
1K Deaths11Number2018
0-3110Number2019
Girls 0-345Number2019
Boys 0-365Number2019
3-690Number2019
Girls 3-650Number2019
Boys 3-640Number2019
6-10113Number2019
10-15157Number2019
15-1886Number2019
18-2042Number2019
20-25124Number2019
25-30125Number2019
30-35245Number2019
35-40243Number2019
40-45170Number2019
45-50255Number2019
50-55254Number2019
55-60292Number2019
60-65300Number2019
65-75444Number2019
Women 65-70234Number2019
Men 65-70210Number2019
75+402Number2019
Women 75+243Number2019
Men 75+159Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-308%Percentage2019
% 30-4519%Percentage2019
% 45-6023%Percentage2019
% 60+33%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 code160680058058Code2019
Region code 8 digits16068058Code16068058
Sorting code160680058058Code160680058058
Sorting code 8 digits16068058Code16068058
Region nameWeißenseeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city WeißenseeName2019
Region name in GermanGemeinde Stadt WeißenseeName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0DCode2019
Area47Area in km²2019
ReligionValueUnitYear
Roman Catholic church98Number2011
Protestant church660Number2011
Other or none2.692Number2011
% Roman Catholic church3%Percentage2011
% Protestant church19%Percentage2011
% Other or none78%Percentage2011
Roman Catholic church German98Number2011
Protestant church German660Number2011
Other or none German2.668Number2011
% Roman Catholic church German3%Percentage2011
% Protestant church German19%Percentage2011
% Other or none German Foreign78%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign24Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%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.