Information about the municipality Unterkatz:

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

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Population numbers in the municipality Unterkatz 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 Unterkatz
Map of Rural district Schmalkalden-Meiningen with the population per municipality.Municipality Unterkatz 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 Schmalkalden-Meiningen with the population per municipality.Municipality Unterkatz is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Brotterode-Trusetal, 2: municipality Floh-Seligenthal, 3: municipality Breitungen/Werra, 4: municipality Fambach, 5: municipality Rotterode ...Show more... Map of Rural district Schmalkalden-Meiningen with the population per municipality.Municipality Unterkatz is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Brotterode-Trusetal, 2: municipality Floh-Seligenthal, 3: municipality Breitungen/Werra, 4: municipality Fambach, 5: municipality Rotterode, 6: municipality Unterschönau, 7: municipality Rosa, 8: municipality city Schmalkalden, 9: municipality Oberschönau, 10: municipality city Oberhof, 11: municipality Altersbach, 12: municipality Roßdorf, 13: municipality city Steinbach-Hallenberg, 14: municipality Schwallungen, 15: municipality Bermbach, 16: municipality Hümpfershausen, 17: municipality city Zella-Mehlis, 18: municipality city Wasungen, 19: municipality Christes, 20: municipality Viernau, 21: municipality Friedelshausen, 22: municipality Metzels, 23: municipality Benshausen, 24: municipality Wahns, 25: municipality Mehmels, 26: municipality Oepfershausen, 27: municipality Wallbach, 28: municipality Schwarza, 29: municipality Kühndorf, 30: municipality Walldorf, 31: municipality Utendorf, 32: municipality Unterkatz, 33: municipality Unterweid, 34: municipality Kaltenwestheim, 35: municipality Rippershausen, 36: municipality Oberkatz, 37: municipality Aschenhausen, 38: municipality Stepfershausen, 39: municipality Kaltensundheim, 40: municipality Dillstädt, 41: municipality Oberweid, 42: municipality Rohr, 43: municipality city Meiningen, 44: municipality Erbenhausen, 45: municipality Melpers, 46: municipality Ellingshausen, 47: municipality Frankenheim/Rhön, 48: municipality Rhönblick, 49: municipality Belrieth, 50: municipality Obermaßfeld-Grimmenthal, 51: municipality Sülzfeld, 52: municipality Einhausen, 53: municipality Birx, 54: municipality Vachdorf, 55: municipality Untermaßfeld, 56: municipality Leutersdorf, 57: municipality Ritschenhausen, 58: municipality Neubrunn, 59: municipality Wölfershausen, 60: municipality Henneberg, 61: municipality Grabfeld ...Show less...

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

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Municipality Unterkatz, 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 Unterkatz

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Municipality Unterkatz, 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 Unterkatz.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms18Number2019
Houses 4 rooms36Number2019
Houses 5 rooms34Number2019
Houses 6 rooms39Number2019
Houses 7+ rooms 41Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms54Number2019
Houses 5+ rooms114Number2019
1-2 rooms2%Percentage2019
3-4 rooms32%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag297,00Number2017
Voter turnout Bundestag66Number2017
Votes valid Bundestag192Number2017
Votes Bundestag CDU/CSU86Number2017
Votes Bundestag SPD30Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP23Number2017
Votes Bundestag DIE LINKE14Number2017
Votes Bundestag AfD31Number2017
Votes Bundestag other parties5Number2017
Votes Bundestag total192Number2017
% Votes Bundestag CDU/CSU29%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employeesno dataNumber2018
Employees maleno dataNumber2018
Employees femaleno dataNumber2018
Employees foreignerno dataNumber2018
Employees male foreignerno dataNumber2018
Employees female foreignerno dataNumber2018
Unemployed4Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers157Number2015
Income total€4.932Euro2015
Income tax€710Euro2015
PopulationValueUnitYear
Population366Number2019
Men185Number2019
Women181Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1867Number2019
18-3029Number2019
30-4572Number2019
45-6062Number2019
18-60163Number2019
60-7589Number2019
60+136Number2019
Average age47Average number2019
Average age male45Average number2019
Average age female48Average number2019
Births3Number2018
Births male2Number2018
Births female1Number2018
1K Births8Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male2Number2018
Deaths female4Number2018
1K Deaths17Number2018
0-37Number2019
Girls 0-32Number2019
Boys 0-35Number2019
3-610Number2019
Girls 3-64Number2019
Boys 3-66Number2019
6-1018Number2019
10-1520Number2019
15-1812Number2019
18-206Number2019
20-2514Number2019
25-309Number2019
30-3513Number2019
35-4035Number2019
40-4524Number2019
45-5026Number2019
50-5514Number2019
55-6022Number2019
60-6539Number2019
65-7550Number2019
Women 65-7024Number2019
Men 65-7026Number2019
75+47Number2019
Women 75+26Number2019
Men 75+21Number2019
% 0-1010%Percentage2019
% 10-189%Percentage2019
% 18-308%Percentage2019
% 30-4520%Percentage2019
% 45-6017%Percentage2019
% 60+37%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 code160665013075Code2019
Region code 8 digits16066075Code16066075
Sorting code160665013075Code160665013075
Sorting code 8 digits16066075Code16066075
Region nameUnterkatzName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality UnterkatzName2019
Region name in GermanGemeinde UnterkatzName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0BCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church6Number2011
Protestant church289Number2011
Other or none101Number2011
% Roman Catholic church2%Percentage2011
% Protestant church73%Percentage2011
% Other or none26%Percentage2011
Roman Catholic church German6Number2011
Protestant church German285Number2011
Other or none German101Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German73%Percentage2011
% Other or none German Foreign26%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign4Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign100%Percentage2011
% Other or none Foreign0%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.