Information about the municipality Geismar:

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

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

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Municipality Geismar, 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 Geismar

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Municipality Geismar, 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 Geismar.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room3Number2019
Houses 2 rooms21Number2019
Houses 3 rooms84Number2019
Houses 4 rooms142Number2019
Houses 5 rooms98Number2019
Houses 6 rooms86Number2019
Houses 7+ rooms 93Number2019
Houses 1-2 rooms24Number2019
Houses 3-4 rooms226Number2019
Houses 5+ rooms277Number2019
1-2 rooms5%Percentage2019
3-4 rooms43%Percentage2019
5+ rooms53%Percentage2019
ElectionsValueUnitYear
Voters Bundestag929,00Number2017
Voter turnout Bundestag65Number2017
Votes valid Bundestag605Number2017
Votes Bundestag CDU/CSU287Number2017
Votes Bundestag SPD73Number2017
Votes Bundestag GRÜNE25Number2017
Votes Bundestag FDP31Number2017
Votes Bundestag DIE LINKE52Number2017
Votes Bundestag AfD106Number2017
Votes Bundestag other parties31Number2017
Votes Bundestag total605Number2017
% Votes Bundestag CDU/CSU31%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE6%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees454Number2019
Employees male250Number2019
Employees female204Number2019
Employees foreigner6Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed27Number2018
Unemployed foreigners4Number2018
Unemployed severely disabled4Number2018
Unemployed 15-201Number2018
Unemployed 15-253Number2018
Unemployed 55-657Number2018
Unemployed long-term7Number2018
% 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 receivers511Number2015
Income total€14.281Euro2015
Income tax€1.629Euro2015
PopulationValueUnitYear
Population1.100Number2019
Men567Number2019
Women533Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-18173Number2019
18-30114Number2019
30-45199Number2019
45-60267Number2019
18-60580Number2019
60-75226Number2019
60+347Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female47Average number2019
Births10Number2018
Births male4Number2018
Births female6Number2018
1K Births9Number per 1000 inhabitants2018
Deaths11Number2018
Deaths male6Number2018
Deaths female5Number2018
1K Deaths10Number2018
0-328Number2019
Girls 0-313Number2019
Boys 0-315Number2019
3-631Number2019
Girls 3-616Number2019
Boys 3-615Number2019
6-1035Number2019
10-1545Number2019
15-1834Number2019
18-2024Number2019
20-2540Number2019
25-3050Number2019
30-3570Number2019
35-4071Number2019
40-4558Number2019
45-5080Number2019
50-5589Number2019
55-6098Number2019
60-6596Number2019
65-75130Number2019
Women 65-7060Number2019
Men 65-7070Number2019
75+121Number2019
Women 75+70Number2019
Men 75+51Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3010%Percentage2019
% 30-4518%Percentage2019
% 45-6024%Percentage2019
% 60+32%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 code160615014035Code2019
Region code 8 digits16061035Code16061035
Sorting code160615014035Code160615014035
Sorting code 8 digits16061035Code16061035
Region nameGeismarName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GeismarName2019
Region name in GermanGemeinde GeismarName2019
Direct subregionsno dataNumber2019
NUTS codeDEG06Code2019
Area19Area in km²2019
ReligionValueUnitYear
Roman Catholic church903Number2011
Protestant church125Number2011
Other or none142Number2011
% Roman Catholic church77%Percentage2011
% Protestant church11%Percentage2011
% Other or none12%Percentage2011
Roman Catholic church German903Number2011
Protestant church German125Number2011
Other or none German139Number2011
% Roman Catholic church German77%Percentage2011
% Protestant church German11%Percentage2011
% Other or none German Foreign12%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%Percentage2011
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.