Information about the municipality city Tanna:

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

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Population numbers in the municipality city Tanna 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 Tanna
Map of Rural district Saale-Orla-Kreis with the population per municipality.Municipality Tanna 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 Saale-Orla-Kreis with the population per municipality.Municipality Tanna is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stanau, 2: municipality Geroda, 3: municipality Rosendorf, 4: municipality city Triptis, 5: municipality Mittelpöllnitz ...Show more... Map of Rural district Saale-Orla-Kreis with the population per municipality.Municipality Tanna is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stanau, 2: municipality Geroda, 3: municipality Rosendorf, 4: municipality city Triptis, 5: municipality Mittelpöllnitz, 6: municipality Dreitzsch, 7: municipality city Neustadt an der Orla, 8: municipality Miesitz, 9: municipality Langenorla, 10: municipality Lausnitz b. Neustadt an der Orla, 11: municipality Oppurg, 12: municipality Schmieritz, 13: municipality Lemnitz, 14: municipality Kospoda, 15: municipality Tömmelsdorf, 16: municipality city Pößneck, 17: municipality Krölpa, 18: municipality Weira, 19: municipality Nimritz, 20: municipality Döbritz, 21: municipality Oberoppurg, 22: municipality Solkwitz, 23: municipality Linda b. Neustadt an der Orla, 24: municipality Bodelwitz, 25: municipality Quaschwitz, 26: municipality Gertewitz, 27: municipality Moßbach, 28: municipality Grobengereuth, 29: municipality Wernburg, 30: municipality city Ranis, 31: municipality Dreba, 32: municipality Peuschen, 33: municipality Dittersdorf, 34: municipality Tegau, 35: municipality Knau, 36: municipality Seisla, 37: municipality Moxa, 38: municipality Schmorda, 39: municipality Keila, 40: municipality Plothen, 41: municipality Bucha, 42: municipality Göschitz, 43: municipality Wilhelmsdorf, 44: municipality Pörmitz, 45: municipality Gössitz, 46: municipality Schöndorf, 47: municipality Paska, 48: municipality Volkmannsdorf, 49: municipality Löhma, 50: municipality city Ziegenrück, 51: municipality Neundorf (bei Schleiz), 52: municipality Kirschkau, 53: municipality Oettersdorf, 54: municipality Eßbach, 55: municipality Crispendorf, 56: municipality Görkwitz, 57: municipality city Schleiz, 58: municipality Burgk, 59: municipality Remptendorf, 60: municipality city Saalburg-Ebersdorf, 61: municipality city Tanna, 62: municipality city Bad Lobenstein, 63: municipality city Wurzbach, 64: municipality city Gefell, 65: municipality Birkenhügel, 66: municipality Neundorf (bei Lobenstein), 67: municipality city Hirschberg, 68: municipality Pottiga, 69: municipality Harra, 70: municipality Blankenberg, 71: municipality Schlegel, 72: municipality Blankenstein ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Tanna

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Municipality city Tanna, 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 city Tanna

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Municipality city Tanna, 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 city Tanna.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses6Number2017
Active persons707Number2017
Gross wages€19.924Euro2017
DwellingsValueUnitYear
Houses 1 room12Number2019
Houses 2 rooms68Number2019
Houses 3 rooms294Number2019
Houses 4 rooms447Number2019
Houses 5 rooms384Number2019
Houses 6 rooms282Number2019
Houses 7+ rooms 320Number2019
Houses 1-2 rooms80Number2019
Houses 3-4 rooms741Number2019
Houses 5+ rooms986Number2019
1-2 rooms4%Percentage2019
3-4 rooms41%Percentage2019
5+ rooms55%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3014,00Number2017
Voter turnout Bundestag69Number2017
Votes valid Bundestag2.045Number2017
Votes Bundestag CDU/CSU681Number2017
Votes Bundestag SPD292Number2017
Votes Bundestag GRÜNE54Number2017
Votes Bundestag FDP171Number2017
Votes Bundestag DIE LINKE287Number2017
Votes Bundestag AfD432Number2017
Votes Bundestag other parties128Number2017
Votes Bundestag total2.045Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD14%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.578Number2019
Employees male845Number2019
Employees female733Number2019
Employees foreigner45Number2019
Employees male foreigner36Number2019
Employees female foreigner9Number2019
Unemployed57Number2018
Unemployed foreigners2Number2018
Unemployed severely disabled6Number2018
Unemployed 15-200Number2018
Unemployed 15-253Number2018
Unemployed 55-6520Number2018
Unemployed long-term16Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.755Number2015
Income total€49.241Euro2015
Income tax€6.056Euro2015
PopulationValueUnitYear
Population3.548Number2019
Men1.760Number2019
Women1.788Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18556Number2019
18-30309Number2019
30-45579Number2019
45-60896Number2019
18-601.784Number2019
60-75709Number2019
60+1.208Number2019
Average age48Average number2019
Average age male47Average number2019
Average age female49Average number2019
Births20Number2018
Births male7Number2018
Births female13Number2018
1K Births6Number per 1000 inhabitants2018
Deaths39Number2018
Deaths male21Number2018
Deaths female18Number2018
1K Deaths11Number2018
0-375Number2019
Girls 0-340Number2019
Boys 0-335Number2019
3-695Number2019
Girls 3-649Number2019
Boys 3-646Number2019
6-10127Number2019
10-15165Number2019
15-1894Number2019
18-2064Number2019
20-25106Number2019
25-30139Number2019
30-35188Number2019
35-40210Number2019
40-45181Number2019
45-50255Number2019
50-55301Number2019
55-60340Number2019
60-65305Number2019
65-75404Number2019
Women 65-70211Number2019
Men 65-70193Number2019
75+499Number2019
Women 75+292Number2019
Men 75+207Number2019
% 0-108%Percentage2019
% 10-187%Percentage2019
% 18-309%Percentage2019
% 30-4516%Percentage2019
% 45-6025%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 code160750132132Code2019
Region code 8 digits16075132Code16075132
Sorting code160750132132Code160750132132
Sorting code 8 digits16075132Code16075132
Region nameTannaName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city TannaName2019
Region name in GermanGemeinde Stadt TannaName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area87Area in km²2019
ReligionValueUnitYear
Roman Catholic church72Number2011
Protestant church2.484Number2011
Other or none1.244Number2011
% Roman Catholic church2%Percentage2011
% Protestant church65%Percentage2011
% Other or none33%Percentage2011
Roman Catholic church German69Number2011
Protestant church German2.475Number2011
Other or none German1.241Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German65%Percentage2011
% Other or none German Foreign33%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign9Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign20%Percentage2011
% Protestant church Foreign60%Percentage2011
% Other or none Foreign20%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.