Information about the municipality Frankenblick:

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

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Population numbers in the municipality Frankenblick for the years 2013 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 Frankenblick
Map of Rural district Sonneberg with the population per municipality.Municipality Frankenblick 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 Sonneberg with the population per municipality.Municipality Frankenblick is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Goldisthal, 2: municipality city Neuhaus am Rennweg, 3: municipality city Lauscha, 4: municipality city Steinach, 5: municipality Bachfeld, 6: municipality city Sonneberg, 7: municipality Frankenblick, 8: municipality city Schalkau, 9: municipality Föritztal.

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

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Municipality Frankenblick, 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 Frankenblick

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Municipality Frankenblick, 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 Frankenblick.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses10Number2017
Active persons433Number2017
Gross wages€13.685Euro2017
DwellingsValueUnitYear
Houses 1 room15Number2019
Houses 2 rooms71Number2019
Houses 3 rooms341Number2019
Houses 4 rooms666Number2019
Houses 5 rooms690Number2019
Houses 6 rooms540Number2019
Houses 7+ rooms 712Number2019
Houses 1-2 rooms86Number2019
Houses 3-4 rooms1.007Number2019
Houses 5+ rooms1.942Number2019
1-2 rooms3%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms64%Percentage2019
ElectionsValueUnitYear
Voters Bundestag5133,00Number2017
Voter turnout Bundestag75Number2017
Votes valid Bundestag3.806Number2017
Votes Bundestag CDU/CSU1.142Number2017
Votes Bundestag SPD498Number2017
Votes Bundestag GRÜNE97Number2017
Votes Bundestag FDP275Number2017
Votes Bundestag DIE LINKE580Number2017
Votes Bundestag AfD939Number2017
Votes Bundestag other parties275Number2017
Votes Bundestag total3.806Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE11%Percentage2017
% Votes Bundestag AfD18%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees2.389Number2019
Employees male1.269Number2019
Employees female1.120Number2019
Employees foreigner23Number2019
Employees male foreigner10Number2019
Employees female foreigner13Number2019
Unemployed74Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled12Number2018
Unemployed 15-202Number2018
Unemployed 15-256Number2018
Unemployed 55-6521Number2018
Unemployed long-term21Number2018
% 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 receivers2.830Number2015
Income total€91.195Euro2015
Income tax€12.733Euro2015
PopulationValueUnitYear
Population5.812Number2019
Men2.852Number2019
Women2.960Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18780Number2019
18-30454Number2019
30-45969Number2019
45-601.488Number2019
18-602.911Number2019
60-751.320Number2019
60+2.121Number2019
Average age49Average number2019
Average age male48Average number2019
Average age female51Average number2019
Births46Number2018
Births male18Number2018
Births female28Number2018
1K Births8Number per 1000 inhabitants2018
Deaths60Number2018
Deaths male31Number2018
Deaths female29Number2018
1K Deaths10Number2018
0-3111Number2019
Girls 0-358Number2019
Boys 0-353Number2019
3-6115Number2019
Girls 3-663Number2019
Boys 3-652Number2019
6-10186Number2019
10-15214Number2019
15-18154Number2019
18-2087Number2019
20-25186Number2019
25-30181Number2019
30-35281Number2019
35-40370Number2019
40-45318Number2019
45-50413Number2019
50-55532Number2019
55-60543Number2019
60-65502Number2019
65-75818Number2019
Women 65-70437Number2019
Men 65-70381Number2019
75+801Number2019
Women 75+483Number2019
Men 75+318Number2019
% 0-107%Percentage2019
% 10-186%Percentage2019
% 18-308%Percentage2019
% 30-4517%Percentage2019
% 45-6026%Percentage2019
% 60+36%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 code160720023023Code2019
Region code 8 digits16072023Code16072023
Sorting code160720023023Code160720023023
Sorting code 8 digits16072023Code16072023
Region nameFrankenblickName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality FrankenblickName2019
Region name in GermanGemeinde FrankenblickName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0HCode2019
Area61Area in km²2019
ReligionValueUnitYear
Roman Catholic churchno dataNumberno data
Protestant churchno dataNumberno data
Other or noneno dataNumberno data
% Roman Catholic churchno dataPercentageno data
% Protestant churchno dataPercentageno data
% Other or noneno dataPercentageno data
Roman Catholic church Germanno dataNumberno data
Protestant church Germanno dataNumberno data
Other or none Germanno dataNumberno data
% Roman Catholic church Germanno dataPercentageno data
% Protestant church Germanno dataPercentageno data
% Other or none German Foreignno dataPercentageno data
Roman Catholic church Foreignno dataNumberno data
Protestant church Foreignno dataNumberno data
Other or none Foreignno dataNumberno data
% 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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