Information about the municipality Frankendorf:

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

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Population numbers in the municipality Frankendorf 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 Frankendorf
Map of Rural district Weimarer Land with the population per municipality.Municipality Frankendorf 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 Weimarer Land with the population per municipality.Municipality Frankendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Großheringen, 2: municipality Krautheim, 3: municipality city Neumark, 4: municipality city Bad Sulza, 5: municipality Rannstedt ...Show more... Map of Rural district Weimarer Land with the population per municipality.Municipality Frankendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Großheringen, 2: municipality Krautheim, 3: municipality city Neumark, 4: municipality city Bad Sulza, 5: municipality Rannstedt, 6: municipality Vippachedelhausen, 7: municipality Ködderitzsch, 8: municipality Eberstedt, 9: municipality city Buttelstedt, 10: municipality Schwerstedt, 11: municipality Rohrbach, 12: municipality Schmiedehausen, 13: municipality Niedertrebra, 14: municipality Leutenthal, 15: municipality Obertrebra, 16: municipality Ballstedt, 17: municipality Ilmtal-Weinstraße, 18: municipality Ramsla, 19: municipality Berlstedt, 20: municipality Heichelheim, 21: municipality Sachsenhausen, 22: municipality Großobringen, 23: municipality Ettersburg, 24: municipality Kleinobringen, 25: municipality Wohlsborn, 26: municipality city Apolda, 27: municipality Ottstedt a. Berge, 28: municipality Saaleplatte, 29: municipality Kromsdorf, 30: municipality Niederzimmern, 31: municipality Daasdorf a. Berge, 32: municipality Hopfgarten, 33: municipality Wiegendorf, 34: municipality Kapellendorf, 35: municipality Umpferstedt, 36: municipality Nohra, 37: municipality Frankendorf, 38: municipality Hammerstedt, 39: municipality Isseroda, 40: municipality Bechstedtstraß, 41: municipality Mönchenholzhausen, 42: municipality Großschwabhausen, 43: municipality Lehnstedt, 44: municipality Mellingen, 45: municipality Vollersroda, 46: municipality Kleinschwabhausen, 47: municipality Troistedt, 48: municipality Oettern, 49: municipality Döbritschen, 50: municipality Hetschburg, 51: municipality Klettbach, 52: municipality Mechelroda, 53: municipality Buchfart, 54: municipality Kiliansroda, 55: municipality city Magdala, 56: municipality Nauendorf, 57: municipality Tonndorf, 58: municipality city Bad Berka, 59: municipality Hohenfelden, 60: municipality city Blankenhain, 61: municipality city Kranichfeld, 62: municipality Rittersdorf ...Show less...

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

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Municipality Frankendorf, 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 Frankendorf

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Municipality Frankendorf, 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 Frankendorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms1Number2019
Houses 3 rooms9Number2019
Houses 4 rooms13Number2019
Houses 5 rooms18Number2019
Houses 6 rooms16Number2019
Houses 7+ rooms 18Number2019
Houses 1-2 rooms1Number2019
Houses 3-4 rooms22Number2019
Houses 5+ rooms52Number2019
1-2 rooms1%Percentage2019
3-4 rooms29%Percentage2019
5+ rooms69%Percentage2019
ElectionsValueUnitYear
Voters Bundestag127,00Number2017
Voter turnout Bundestag73Number2017
Votes valid Bundestag92Number2017
Votes Bundestag CDU/CSU36Number2017
Votes Bundestag SPD9Number2017
Votes Bundestag GRÜNE1Number2017
Votes Bundestag FDP7Number2017
Votes Bundestag DIE LINKE12Number2017
Votes Bundestag AfD25Number2017
Votes Bundestag other parties2Number2017
Votes Bundestag total92Number2017
% Votes Bundestag CDU/CSU28%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD20%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees72Number2019
Employees male36Number2019
Employees female36Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed3Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term2Number2018
% 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 receivers71Number2015
Income total€2.003Euro2015
Income tax€230Euro2015
PopulationValueUnitYear
Population159Number2019
Men83Number2019
Women76Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-1825Number2019
18-3010Number2019
30-4527Number2019
45-6041Number2019
18-6078Number2019
60-7534Number2019
60+56Number2019
Average age48Average number2019
Average age male48Average number2019
Average age female48Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths1Number2018
Deaths male0Number2018
Deaths female1Number2018
1K Deaths6Number2018
0-36Number2019
Girls 0-32Number2019
Boys 0-34Number2019
3-63Number2019
Girls 3-62Number2019
Boys 3-61Number2019
6-1010Number2019
10-154Number2019
15-182Number2019
18-204Number2019
20-254Number2019
25-302Number2019
30-3514Number2019
35-408Number2019
40-455Number2019
45-5012Number2019
50-5513Number2019
55-6016Number2019
60-6514Number2019
65-7520Number2019
Women 65-708Number2019
Men 65-7012Number2019
75+22Number2019
Women 75+12Number2019
Men 75+10Number2019
% 0-1012%Percentage2019
% 10-184%Percentage2019
% 18-306%Percentage2019
% 30-4517%Percentage2019
% 45-6026%Percentage2019
% 60+35%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 code160715008019Code2019
Region code 8 digits16071019Code16071019
Sorting code160715008019Code160715008019
Sorting code 8 digits16071019Code16071019
Region nameFrankendorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality FrankendorfName2019
Region name in GermanGemeinde FrankendorfName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0GCode2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church3Number2011
Protestant church38Number2011
Other or none133Number2011
% Roman Catholic church2%Percentage2011
% Protestant church22%Percentage2011
% Other or none76%Percentage2011
Roman Catholic church German3Number2011
Protestant church German38Number2011
Other or none German133Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign76%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.