Information about the municipality Fretterode:

Population numbers per year
The number of inhabitants in the municipality Fretterode

One moment please, your device is loading the charts...

Population numbers in the municipality Fretterode 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 Fretterode
Map of Rural district Eichsfeld with the population per municipality.Municipality Fretterode 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 Eichsfeld with the population per municipality.Municipality Fretterode is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Sonnenstein, 2: municipality Ecklingerode, 3: municipality Brehme, 4: municipality Wehnde, 5: municipality Am Ohmberg ...Show more... Map of Rural district Eichsfeld with the population per municipality.Municipality Fretterode is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Sonnenstein, 2: municipality Ecklingerode, 3: municipality Brehme, 4: municipality Wehnde, 5: municipality Am Ohmberg, 6: municipality Tastungen, 7: municipality Teistungen, 8: municipality Ferna, 9: municipality Haynrode, 10: municipality Berlingerode, 11: municipality Glasehausen, 12: municipality Buhla, 13: municipality Reinholterode, 14: municipality Freienhagen, 15: municipality Steinbach, 16: municipality city Leinefelde-Worbis, 17: municipality Hohes Kreuz, 18: municipality Breitenworbis, 19: municipality Rohrberg, 20: municipality Kirchworbis, 21: municipality Schachtebich, 22: municipality Rustenfelde, 23: municipality Bodenrode-Westhausen, 24: municipality Wingerode, 25: municipality Gernrode, 26: municipality Burgwalde, 27: municipality Kirchgandern, 28: municipality Steinheuterode, 29: municipality Gerterode, 30: municipality Marth, 31: municipality Hausen, 32: municipality Hohengandern, 33: municipality city Heilbad Heiligenstadt, 34: municipality Arenshausen, 35: municipality Deuna, 36: municipality Niederorschel, 37: municipality Birkenfelde, 38: municipality Uder, 39: municipality Thalwenden, 40: municipality Geisleden, 41: municipality Kleinbartloff, 42: municipality Kallmerode, 43: municipality Bornhagen, 44: municipality Kreuzebra, 45: municipality Schönhagen, 46: municipality Lenterode, 47: municipality Röhrig, 48: municipality Gerbershausen, 49: municipality Heuthen, 50: municipality Lutter, 51: municipality Fretterode, 52: municipality Wüstheuterode, 53: municipality Silberhausen, 54: municipality Lindewerra, 55: municipality city Dingelstädt, 56: municipality Kefferhausen, 57: municipality Eichstruth, 58: municipality Dietzenrode/Vatterode, 59: municipality Bernterode (bei Heilbad Heiligenstadt), 60: municipality Wahlhausen, 61: municipality Dieterode, 62: municipality Mackenrode, 63: municipality Helmsdorf, 64: municipality Krombach, 65: municipality Asbach-Sickenberg, 66: municipality Schwobfeld, 67: municipality Wachstedt, 68: municipality Küllstedt, 69: municipality Wiesenfeld, 70: municipality Schimberg, 71: municipality Volkerode, 72: municipality Großbartloff, 73: municipality Büttstedt, 74: municipality Sickerode, 75: municipality Pfaffschwende, 76: municipality Effelder, 77: municipality Kella, 78: municipality Geismar ...Show less...

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

One moment please, your device is loading the charts...

Municipality Fretterode, 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 Fretterode

One moment please, your device is loading the charts...

Municipality Fretterode, 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 Fretterode.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms2Number2019
Houses 3 rooms10Number2019
Houses 4 rooms8Number2019
Houses 5 rooms15Number2019
Houses 6 rooms16Number2019
Houses 7+ rooms 20Number2019
Houses 1-2 rooms2Number2019
Houses 3-4 rooms18Number2019
Houses 5+ rooms51Number2019
1-2 rooms3%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag145,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag107Number2017
Votes Bundestag CDU/CSU30Number2017
Votes Bundestag SPD24Number2017
Votes Bundestag GRÜNE1Number2017
Votes Bundestag FDP6Number2017
Votes Bundestag DIE LINKE11Number2017
Votes Bundestag AfD18Number2017
Votes Bundestag other parties17Number2017
Votes Bundestag total107Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE8%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties12%Percentage2017
EmploymentValueUnitYear
Employees82Number2019
Employees male47Number2019
Employees female35Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed2Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term1Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers73Number2015
Income total€2.410Euro2015
Income tax€275Euro2015
PopulationValueUnitYear
Population176Number2019
Men95Number2019
Women81Number2019
% Men54%Percentage2019
% Women46%Percentage2019
0-1831Number2019
18-3024Number2019
30-4537Number2019
45-6036Number2019
18-6097Number2019
60-7533Number2019
60+48Number2019
Average age43Average number2019
Average age male43Average number2019
Average age female42Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths2Number2018
Deaths male0Number2018
Deaths female2Number2018
1K Deaths11Number2018
0-36Number2019
Girls 0-35Number2019
Boys 0-31Number2019
3-64Number2019
Girls 3-62Number2019
Boys 3-62Number2019
6-1010Number2019
10-155Number2019
15-186Number2019
18-205Number2019
20-257Number2019
25-3012Number2019
30-3513Number2019
35-4015Number2019
40-459Number2019
45-5010Number2019
50-5510Number2019
55-6016Number2019
60-6520Number2019
65-7513Number2019
Women 65-706Number2019
Men 65-707Number2019
75+15Number2019
Women 75+8Number2019
Men 75+7Number2019
% 0-1011%Percentage2019
% 10-186%Percentage2019
% 18-3014%Percentage2019
% 30-4521%Percentage2019
% 45-6020%Percentage2019
% 60+27%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 code160615008033Code2019
Region code 8 digits16061033Code16061033
Sorting code160615008033Code160615008033
Sorting code 8 digits16061033Code16061033
Region nameFretterodeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality FretterodeName2019
Region name in GermanGemeinde FretterodeName2019
Direct subregionsno dataNumber2019
NUTS codeDEG06Code2019
Area6Area in km²2019
ReligionValueUnitYear
Roman Catholic church110Number2011
Protestant church48Number2011
Other or none25Number2011
% Roman Catholic church60%Percentage2011
% Protestant church26%Percentage2011
% Other or none14%Percentage2011
Roman Catholic church German110Number2011
Protestant church German48Number2011
Other or none German25Number2011
% Roman Catholic church German60%Percentage2011
% Protestant church German26%Percentage2011
% Other or none German Foreign14%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.