Information about the municipality Sonnenstein:

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

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Population numbers in the municipality Sonnenstein for the years 2012 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 Sonnenstein
Map of Rural district Eichsfeld with the population per municipality.Municipality Sonnenstein 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 Sonnenstein 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 Sonnenstein 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 Sonnenstein

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Municipality Sonnenstein, 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 Sonnenstein

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Municipality Sonnenstein, 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 Sonnenstein.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room26Number2019
Houses 2 rooms49Number2019
Houses 3 rooms234Number2019
Houses 4 rooms398Number2019
Houses 5 rooms416Number2019
Houses 6 rooms381Number2019
Houses 7+ rooms 590Number2019
Houses 1-2 rooms75Number2019
Houses 3-4 rooms632Number2019
Houses 5+ rooms1.387Number2019
1-2 rooms4%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms66%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3863,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag2.986Number2017
Votes Bundestag CDU/CSU1.372Number2017
Votes Bundestag SPD402Number2017
Votes Bundestag GRÜNE83Number2017
Votes Bundestag FDP268Number2017
Votes Bundestag DIE LINKE277Number2017
Votes Bundestag AfD434Number2017
Votes Bundestag other parties150Number2017
Votes Bundestag total2.986Number2017
% Votes Bundestag CDU/CSU36%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.889Number2019
Employees male1.027Number2019
Employees female862Number2019
Employees foreigner10Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed78Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled4Number2018
Unemployed 15-202Number2018
Unemployed 15-255Number2018
Unemployed 55-6534Number2018
Unemployed long-term26Number2018
% 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 receivers2.039Number2015
Income total€65.506Euro2015
Income tax€8.237Euro2015
PopulationValueUnitYear
Population4.531Number2019
Men2.258Number2019
Women2.273Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18733Number2019
18-30381Number2019
30-45792Number2019
45-601.086Number2019
18-602.259Number2019
60-75991Number2019
60+1.539Number2019
Average age47Average number2019
Average age male47Average number2019
Average age female48Average number2019
Births42Number2018
Births male22Number2018
Births female20Number2018
1K Births9Number per 1000 inhabitants2018
Deaths61Number2018
Deaths male22Number2018
Deaths female39Number2018
1K Deaths13Number2018
0-3121Number2019
Girls 0-360Number2019
Boys 0-361Number2019
3-6116Number2019
Girls 3-654Number2019
Boys 3-662Number2019
6-10152Number2019
10-15204Number2019
15-18140Number2019
18-2080Number2019
20-25134Number2019
25-30167Number2019
30-35246Number2019
35-40278Number2019
40-45268Number2019
45-50276Number2019
50-55357Number2019
55-60453Number2019
60-65419Number2019
65-75572Number2019
Women 65-70269Number2019
Men 65-70303Number2019
75+548Number2019
Women 75+324Number2019
Men 75+224Number2019
% 0-109%Percentage2019
% 10-188%Percentage2019
% 18-308%Percentage2019
% 30-4517%Percentage2019
% 45-6024%Percentage2019
% 60+34%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 code160610117117Code2019
Region code 8 digits16061117Code16061117
Sorting code160610117117Code160610117117
Sorting code 8 digits16061117Code16061117
Region nameSonnensteinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SonnensteinName2019
Region name in GermanGemeinde SonnensteinName2019
Direct subregionsno dataNumber2019
NUTS codeDEG06Code2019
Area95Area 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.