Information about the municipality Wildflecken:

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

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Population numbers in the municipality Wildflecken 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 Wildflecken
Map of Rural district Bad Kissingen with the population per municipality.Municipality Wildflecken 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 Bad Kissingen with the population per municipality.Municipality Wildflecken is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Motten, 2: municipality Wildflecken, 3: unincorporated area Mottener Forst-Süd, 4: unincorporated area Großer Auersberg, 5: unincorporated area Römershager Forst-Nord ...Show more... Map of Rural district Bad Kissingen with the population per municipality.Municipality Wildflecken is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Motten, 2: municipality Wildflecken, 3: unincorporated area Mottener Forst-Süd, 4: unincorporated area Großer Auersberg, 5: unincorporated area Römershager Forst-Nord, 6: municipality Riedenberg, 7: unincorporated area Römershager Forst-Ost, 8: municipality city Bad Brückenau, 9: municipality Geroda, 10: municipality Burkardroth, 11: unincorporated area Dreistelzer Forst, 12: municipality Oberleichtersbach, 13: municipality Bad Bocklet, 14: unincorporated area Kälberberg, 15: municipality Schondra, 16: unincorporated area Waldfensterer Forst, 17: municipality Zeitlofs, 18: municipality city Münnerstadt, 19: unincorporated area Geiersnest-West, 20: unincorporated area Geiersnest-Ost, 21: unincorporated area Roßbacher Forst, 22: municipality Nüdlingen, 23: unincorporated area Forst Detter-Süd, 24: unincorporated area Neuwirtshauser Forst, 25: municipality city Bad Kissingen, 26: municipality Thundorf i. UFr., 27: municipality Oberthulba, 28: municipality Maßbach, 29: unincorporated area Omerz u. Roter Berg, 30: municipality Aura a.d. Saale, 31: municipality Rannungen, 32: municipality Wartmannsroth, 33: municipality Euerdorf, 34: municipality Oerlenbach, 35: municipality Elfershausen, 36: municipality Ramsthal, 37: municipality Sulzthal, 38: municipality city Hammelburg, 39: municipality Fuchsstadt ...Show less...

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

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Municipality Wildflecken, 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 Wildflecken

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Municipality Wildflecken, 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 Wildflecken.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room20Number2019
Houses 2 rooms76Number2019
Houses 3 rooms255Number2019
Houses 4 rooms460Number2019
Houses 5 rooms311Number2019
Houses 6 rooms187Number2019
Houses 7+ rooms 253Number2019
Houses 1-2 rooms96Number2019
Houses 3-4 rooms715Number2019
Houses 5+ rooms751Number2019
1-2 rooms6%Percentage2019
3-4 rooms46%Percentage2019
5+ rooms48%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2351,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag1.714Number2017
Votes Bundestag CDU/CSU810Number2017
Votes Bundestag SPD233Number2017
Votes Bundestag GRÜNE88Number2017
Votes Bundestag FDP180Number2017
Votes Bundestag DIE LINKE105Number2017
Votes Bundestag AfD203Number2017
Votes Bundestag other parties95Number2017
Votes Bundestag total1.714Number2017
% Votes Bundestag CDU/CSU34%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.221Number2019
Employees male678Number2019
Employees female543Number2019
Employees foreigner82Number2019
Employees male foreigner60Number2019
Employees female foreigner22Number2019
Unemployed64Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled6Number2018
Unemployed 15-202Number2018
Unemployed 15-256Number2018
Unemployed 55-6515Number2018
Unemployed long-term19Number2018
% Unemployed2%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 receivers1.320Number2015
Income total€47.813Euro2015
Income tax€6.600Euro2015
PopulationValueUnitYear
Population2.943Number2019
Men1.513Number2019
Women1.430Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18490Number2019
18-30385Number2019
30-45501Number2019
45-60729Number2019
18-601.615Number2019
60-75561Number2019
60+838Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births27Number2018
Births male17Number2018
Births female10Number2018
1K Births9Number per 1000 inhabitants2018
Deaths24Number2018
Deaths male10Number2018
Deaths female14Number2018
1K Deaths8Number2018
0-372Number2019
Girls 0-334Number2019
Boys 0-338Number2019
3-682Number2019
Girls 3-640Number2019
Boys 3-642Number2019
6-10107Number2019
10-15129Number2019
15-18100Number2019
18-2068Number2019
20-25149Number2019
25-30168Number2019
30-35169Number2019
35-40167Number2019
40-45165Number2019
45-50196Number2019
50-55254Number2019
55-60279Number2019
60-65244Number2019
65-75317Number2019
Women 65-70149Number2019
Men 65-70168Number2019
75+277Number2019
Women 75+164Number2019
Men 75+113Number2019
% 0-109%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+28%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 code096720163163Code2019
Region code 8 digits09672163Code09672163
Sorting code096720163163Code096720163163
Sorting code 8 digits09672163Code09672163
Region nameWildfleckenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality WildfleckenName2019
Region name in GermanGemeinde WildfleckenName2019
Direct subregionsno dataNumber2019
NUTS codeDE265Code2019
Area78Area in km²2019
ReligionValueUnitYear
Roman Catholic church2.029Number2011
Protestant church670Number2011
Other or none388Number2011
% Roman Catholic church66%Percentage2011
% Protestant church22%Percentage2011
% Other or none13%Percentage2011
Roman Catholic church German1.998Number2011
Protestant church German667Number2011
Other or none German347Number2011
% Roman Catholic church German66%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign12%Percentage2011
Roman Catholic church Foreign31Number2011
Protestant church Foreign3Number2011
Other or none Foreign41Number2011
% Roman Catholic church Foreign41%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign55%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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