Information about the municipality Hausen:

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

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Population numbers in the municipality Hausen 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 Hausen
Map of Rural district Eichsfeld with the population per municipality.Municipality Hausen 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 Hausen 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 Hausen 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 Hausen

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Municipality Hausen, 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 Hausen

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Municipality Hausen, 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 Hausen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms4Number2019
Houses 3 rooms21Number2019
Houses 4 rooms32Number2019
Houses 5 rooms36Number2019
Houses 6 rooms38Number2019
Houses 7+ rooms 42Number2019
Houses 1-2 rooms5Number2019
Houses 3-4 rooms53Number2019
Houses 5+ rooms116Number2019
1-2 rooms3%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag337,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag251Number2017
Votes Bundestag CDU/CSU134Number2017
Votes Bundestag SPD30Number2017
Votes Bundestag GRÜNE6Number2017
Votes Bundestag FDP21Number2017
Votes Bundestag DIE LINKE15Number2017
Votes Bundestag AfD34Number2017
Votes Bundestag other parties11Number2017
Votes Bundestag total251Number2017
% Votes Bundestag CDU/CSU40%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employeesno dataNumber2018
Employees maleno dataNumber2018
Employees femaleno dataNumber2018
Employees foreignerno dataNumber2018
Employees male foreignerno dataNumber2018
Employees female foreignerno dataNumber2018
Unemployed5Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-653Number2018
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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers185Number2015
Income total€6.406Euro2015
Income tax€861Euro2015
PopulationValueUnitYear
Population443Number2019
Men219Number2019
Women224Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1887Number2019
18-3039Number2019
30-4597Number2019
45-6090Number2019
18-60226Number2019
60-7592Number2019
60+130Number2019
Average age43Average number2019
Average age male43Average number2019
Average age female44Average number2019
Births2Number2018
Births male2Number2018
Births female0Number2018
1K Births5Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male4Number2018
Deaths female2Number2018
1K Deaths14Number2018
0-312Number2019
Girls 0-37Number2019
Boys 0-35Number2019
3-68Number2019
Girls 3-63Number2019
Boys 3-65Number2019
6-1028Number2019
10-1527Number2019
15-1812Number2019
18-2012Number2019
20-2510Number2019
25-3017Number2019
30-3532Number2019
35-4031Number2019
40-4534Number2019
45-5029Number2019
50-5529Number2019
55-6032Number2019
60-6550Number2019
65-7542Number2019
Women 65-7020Number2019
Men 65-7022Number2019
75+38Number2019
Women 75+21Number2019
Men 75+17Number2019
% 0-1011%Percentage2019
% 10-189%Percentage2019
% 18-309%Percentage2019
% 30-4522%Percentage2019
% 45-6020%Percentage2019
% 60+29%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 code160615004043Code2019
Region code 8 digits16061043Code16061043
Sorting code160615004043Code160615004043
Sorting code 8 digits16061043Code16061043
Region nameHausenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality HausenName2019
Region name in GermanGemeinde HausenName2019
Direct subregionsno dataNumber2019
NUTS codeDEG06Code2019
Area4Area in km²2019
ReligionValueUnitYear
Roman Catholic church344Number2011
Protestant church29Number2011
Other or none49Number2011
% Roman Catholic church82%Percentage2011
% Protestant church7%Percentage2011
% Other or none12%Percentage2011
Roman Catholic church German344Number2011
Protestant church German29Number2011
Other or none German49Number2011
% Roman Catholic church German82%Percentage2011
% Protestant church German7%Percentage2011
% Other or none German Foreign12%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.