Information about the municipality Gau-Bischofsheim:

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

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Population numbers in the municipality Gau-Bischofsheim 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 Gau-Bischofsheim
Map of Rural district Mainz-Bingen with the population per municipality.Municipality Gau-Bischofsheim 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 Mainz-Bingen with the population per municipality.Municipality Gau-Bischofsheim is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bacharach, 2: municipality Breitscheid, 3: municipality Oberdiebach, 4: municipality Manubach, 5: municipality Budenheim ...Show more... Map of Rural district Mainz-Bingen with the population per municipality.Municipality Gau-Bischofsheim is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bacharach, 2: municipality Breitscheid, 3: municipality Oberdiebach, 4: municipality Manubach, 5: municipality Budenheim, 6: municipality Niederheimbach, 7: municipality Oberheimbach, 8: municipality Trechtingshausen, 9: municipality Heidesheim am Rhein, 10: municipality Weiler bei Bingen, 11: municipality Wackernheim, 12: municipality city Ingelheim am Rhein, 13: municipality Waldalgesheim, 14: municipality city Gau-Algesheim, 15: municipality city Bingen am Rhein, 16: municipality Münster-Sarmsheim, 17: municipality Ockenheim, 18: municipality Klein-Winternheim, 19: municipality Ober-Olm, 20: municipality Schwabenheim an der Selz, 21: municipality Essenheim, 22: municipality Bodenheim, 23: municipality Appenheim, 24: municipality Bubenheim, 25: municipality Nieder-Hilbersheim, 26: municipality Grolsheim, 27: municipality Gau-Bischofsheim, 28: municipality Stadecken-Elsheim, 29: municipality Nackenheim, 30: municipality Aspisheim, 31: municipality Harxheim, 32: municipality Engelstadt, 33: municipality city Nieder-Olm, 34: municipality Ober-Hilbersheim, 35: municipality Horrweiler, 36: municipality Gensingen, 37: municipality Jugenheim in Rheinhessen, 38: municipality Lörzweiler, 39: municipality Zornheim, 40: municipality Mommenheim, 41: municipality Welgesheim, 42: municipality Sörgenloch, 43: municipality Zotzenheim, 44: municipality Wolfsheim, 45: municipality city Nierstein, 46: municipality Sankt Johann, 47: municipality Sprendlingen, 48: municipality Selzen, 49: municipality Hahnheim, 50: municipality city Oppenheim, 51: municipality Köngernheim, 52: municipality Dexheim, 53: municipality Badenheim, 54: municipality Undenheim, 55: municipality Friesenheim, 56: municipality Dalheim, 57: municipality Dienheim, 58: municipality Ludwigshöhe, 59: municipality Weinolsheim, 60: municipality Uelversheim, 61: municipality Guntersblum, 62: municipality Dolgesheim, 63: municipality Eimsheim, 64: municipality Hillesheim, 65: municipality Wintersheim, 66: municipality Dorn-Dürkheim ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Gau-Bischofsheim

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Municipality Gau-Bischofsheim, 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 Gau-Bischofsheim

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Municipality Gau-Bischofsheim, 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 Gau-Bischofsheim.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room27Number2019
Houses 2 rooms49Number2019
Houses 3 rooms107Number2019
Houses 4 rooms157Number2019
Houses 5 rooms211Number2019
Houses 6 rooms184Number2019
Houses 7+ rooms 232Number2019
Houses 1-2 rooms76Number2019
Houses 3-4 rooms264Number2019
Houses 5+ rooms627Number2019
1-2 rooms8%Percentage2019
3-4 rooms27%Percentage2019
5+ rooms65%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1572,00Number2017
Voter turnout Bundestag86Number2017
Votes valid Bundestag795Number2017
Votes Bundestag CDU/CSU271Number2017
Votes Bundestag SPD162Number2017
Votes Bundestag GRÜNE87Number2017
Votes Bundestag FDP98Number2017
Votes Bundestag DIE LINKE59Number2017
Votes Bundestag AfD84Number2017
Votes Bundestag other parties34Number2017
Votes Bundestag total795Number2017
% Votes Bundestag CDU/CSU17%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees789Number2019
Employees male397Number2019
Employees female392Number2019
Employees foreigner62Number2019
Employees male foreigner34Number2019
Employees female foreigner28Number2019
Unemployed30Number2018
Unemployed foreigners10Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-254Number2018
Unemployed 55-657Number2018
Unemployed long-term7Number2018
% 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 receivers1.016Number2015
Income total€52.961Euro2015
Income tax€10.641Euro2015
PopulationValueUnitYear
Population2.139Number2019
Men1.065Number2019
Women1.074Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18398Number2019
18-30189Number2019
30-45406Number2019
45-60469Number2019
18-601.064Number2019
60-75462Number2019
60+677Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births25Number2018
Births male13Number2018
Births female12Number2018
1K Births12Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male3Number2018
Deaths female3Number2018
1K Deaths3Number2018
0-385Number2019
Girls 0-341Number2019
Boys 0-344Number2019
3-686Number2019
Girls 3-634Number2019
Boys 3-652Number2019
6-1094Number2019
10-1584Number2019
15-1849Number2019
18-2034Number2019
20-2576Number2019
25-3079Number2019
30-35127Number2019
35-40152Number2019
40-45127Number2019
45-50129Number2019
50-55168Number2019
55-60172Number2019
60-65171Number2019
65-75291Number2019
Women 65-70152Number2019
Men 65-70139Number2019
75+215Number2019
Women 75+111Number2019
Men 75+104Number2019
% 0-1012%Percentage2019
% 10-186%Percentage2019
% 18-309%Percentage2019
% 30-4519%Percentage2019
% 45-6022%Percentage2019
% 60+32%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 rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€83.960Euro2018
Trade tax net€364.725Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073395002020Code2019
Region code 8 digits07339020Code07339020
Sorting code073395002020Code073395002020
Sorting code 8 digits07339020Code07339020
Region nameGau-BischofsheimName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Gau-BischofsheimName2019
Region name in GermanGemeinde Gau-BischofsheimName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3JCode2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church829Number2011
Protestant church441Number2011
Other or none573Number2011
% Roman Catholic church45%Percentage2011
% Protestant church24%Percentage2011
% Other or none31%Percentage2011
Roman Catholic church German795Number2011
Protestant church German438Number2011
Other or none German531Number2011
% Roman Catholic church German45%Percentage2011
% Protestant church German25%Percentage2011
% Other or none German Foreign30%Percentage2011
Roman Catholic church Foreign34Number2011
Protestant church Foreign3Number2011
Other or none Foreign42Number2011
% Roman Catholic church Foreign43%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign53%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.