Information about the municipality Bienstädt:

View the information on over 100 topics about the municipality Bienstädt! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Bienstädt! 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 Bienstädt

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Population numbers in the municipality Bienstädt 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 Bienstädt
Map of Rural district Gotha with the population per municipality.Municipality Bienstädt 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 Gotha with the population per municipality.Municipality Bienstädt is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Dachwig, 2: municipality Tonna, 3: municipality Döllstädt, 4: municipality Großfahner, 5: municipality Gierstädt ...Show more... Map of Rural district Gotha with the population per municipality.Municipality Bienstädt is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Dachwig, 2: municipality Tonna, 3: municipality Döllstädt, 4: municipality Großfahner, 5: municipality Gierstädt, 6: municipality Ballstädt, 7: municipality Eschenbergen, 8: municipality Hochheim, 9: municipality Wangenheim, 10: municipality Westhausen, 11: municipality Bienstädt, 12: municipality Molschleben, 13: municipality Brüheim, 14: municipality Bufleben, 15: municipality Warza, 16: municipality Friedrichswerth, 17: municipality Zimmernsupra, 18: municipality Tröchtelborn, 19: municipality Haina, 20: municipality Goldbach, 21: municipality Sonneborn, 22: municipality Remstädt, 23: municipality Friemar, 24: municipality Pferdingsleben, 25: municipality Nottleben, 26: municipality Tüttleben, 27: municipality Hörsel, 28: municipality city Gotha, 29: municipality Nesse-Apfelstädt, 30: municipality Drei Gleichen, 31: municipality Emleben, 32: municipality city Waltershausen, 33: municipality Schwabhausen, 34: municipality Petriroda, 35: municipality Leinatal, 36: municipality Bad Tabarz, 37: municipality Hohenkirchen, 38: municipality city Friedrichroda, 39: municipality Herrenhof, 40: municipality Wölfis, 41: municipality city Ohrdruf, 42: municipality Georgenthal/Thür. Wald, 43: municipality Gräfenhain, 44: municipality Crawinkel, 45: municipality city Tambach-Dietharz/Thür. Wald, 46: municipality Luisenthal ...Show less...

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

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Municipality Bienstädt, 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 Bienstädt

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Municipality Bienstädt, 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 Bienstädt.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room3Number2019
Houses 2 rooms18Number2019
Houses 3 rooms36Number2019
Houses 4 rooms54Number2019
Houses 5 rooms88Number2019
Houses 6 rooms67Number2019
Houses 7+ rooms 53Number2019
Houses 1-2 rooms21Number2019
Houses 3-4 rooms90Number2019
Houses 5+ rooms208Number2019
1-2 rooms7%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms65%Percentage2019
ElectionsValueUnitYear
Voters Bundestag568,00Number2017
Voter turnout Bundestag66Number2017
Votes valid Bundestag367Number2017
Votes Bundestag CDU/CSU113Number2017
Votes Bundestag SPD32Number2017
Votes Bundestag GRÜNE10Number2017
Votes Bundestag FDP31Number2017
Votes Bundestag DIE LINKE62Number2017
Votes Bundestag AfD84Number2017
Votes Bundestag other parties35Number2017
Votes Bundestag total367Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD6%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE11%Percentage2017
% Votes Bundestag AfD15%Percentage2017
% Votes Bundestag other parties6%Percentage2017
EmploymentValueUnitYear
Employees271Number2019
Employees male132Number2019
Employees female139Number2019
Employees foreigner5Number2019
Employees male foreigner5Number2019
Employees female foreigner0Number2019
Unemployed6Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-652Number2018
Unemployed long-term0Number2018
% 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 receivers337Number2015
Income total€12.669Euro2015
Income tax€2.013Euro2015
PopulationValueUnitYear
Population657Number2019
Men346Number2019
Women311Number2019
% Men53%Percentage2019
% Women47%Percentage2019
0-1896Number2019
18-3039Number2019
30-45109Number2019
45-60169Number2019
18-60317Number2019
60-75187Number2019
60+244Number2019
Average age48Average number2019
Average age male48Average number2019
Average age female49Average number2019
Births3Number2018
Births male3Number2018
Births female0Number2018
1K Births5Number per 1000 inhabitants2018
Deaths7Number2018
Deaths male4Number2018
Deaths female3Number2018
1K Deaths11Number2018
0-315Number2019
Girls 0-36Number2019
Boys 0-39Number2019
3-626Number2019
Girls 3-612Number2019
Boys 3-614Number2019
6-1015Number2019
10-1527Number2019
15-1813Number2019
18-2010Number2019
20-2512Number2019
25-3017Number2019
30-3533Number2019
35-4035Number2019
40-4541Number2019
45-5041Number2019
50-5568Number2019
55-6060Number2019
60-6589Number2019
65-7598Number2019
Women 65-7043Number2019
Men 65-7055Number2019
75+57Number2019
Women 75+31Number2019
Men 75+26Number2019
% 0-109%Percentage2019
% 10-186%Percentage2019
% 18-306%Percentage2019
% 30-4517%Percentage2019
% 45-6026%Percentage2019
% 60+37%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 code160675007004Code2019
Region code 8 digits16067004Code16067004
Sorting code160675007004Code160675007004
Sorting code 8 digits16067004Code16067004
Region nameBienstädtName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BienstädtName2019
Region name in GermanGemeinde BienstädtName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0CCode2019
Area8Area in km²2019
ReligionValueUnitYear
Roman Catholic church30Number2011
Protestant church176Number2011
Other or none482Number2011
% Roman Catholic church4%Percentage2011
% Protestant church26%Percentage2011
% Other or none70%Percentage2011
Roman Catholic church German30Number2011
Protestant church German176Number2011
Other or none German482Number2011
% Roman Catholic church German4%Percentage2011
% Protestant church German26%Percentage2011
% Other or none German Foreign70%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% 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.

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