Information about the municipality city Triptis:

View the information on over 100 topics about the municipality city Triptis! 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 Triptis! 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 Triptis

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Population numbers in the municipality city Triptis 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 Triptis
Map of Rural district Saale-Orla-Kreis with the population per municipality.Municipality Triptis 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 Triptis 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 Triptis 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 Triptis

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Municipality city Triptis, 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 Triptis

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Municipality city Triptis, 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 Triptis.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses12Number2017
Active persons1.738Number2017
Gross wages€49.422Euro2017
DwellingsValueUnitYear
Houses 1 room21Number2019
Houses 2 rooms150Number2019
Houses 3 rooms601Number2019
Houses 4 rooms676Number2019
Houses 5 rooms397Number2019
Houses 6 rooms223Number2019
Houses 7+ rooms 149Number2019
Houses 1-2 rooms171Number2019
Houses 3-4 rooms1.277Number2019
Houses 5+ rooms769Number2019
1-2 rooms8%Percentage2019
3-4 rooms58%Percentage2019
5+ rooms35%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3115,00Number2017
Voter turnout Bundestag58Number2017
Votes valid Bundestag1.762Number2017
Votes Bundestag CDU/CSU396Number2017
Votes Bundestag SPD253Number2017
Votes Bundestag GRÜNE49Number2017
Votes Bundestag FDP129Number2017
Votes Bundestag DIE LINKE287Number2017
Votes Bundestag AfD535Number2017
Votes Bundestag other parties113Number2017
Votes Bundestag total1.762Number2017
% Votes Bundestag CDU/CSU13%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD17%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.543Number2019
Employees male855Number2019
Employees female688Number2019
Employees foreigner99Number2019
Employees male foreigner85Number2019
Employees female foreigner14Number2019
Unemployed101Number2018
Unemployed foreigners2Number2018
Unemployed severely disabled11Number2018
Unemployed 15-202Number2018
Unemployed 15-258Number2018
Unemployed 55-6530Number2018
Unemployed long-term40Number2018
% Unemployed3%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 receivers1.777Number2015
Income total€52.164Euro2015
Income tax€7.250Euro2015
PopulationValueUnitYear
Population3.663Number2019
Men1.806Number2019
Women1.857Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18498Number2019
18-30290Number2019
30-45633Number2019
45-60871Number2019
18-601.794Number2019
60-75801Number2019
60+1.371Number2019
Average age50Average number2019
Average age male48Average number2019
Average age female52Average number2019
Births35Number2018
Births male17Number2018
Births female18Number2018
1K Births9Number per 1000 inhabitants2018
Deaths48Number2018
Deaths male22Number2018
Deaths female26Number2018
1K Deaths13Number2018
0-381Number2019
Girls 0-343Number2019
Boys 0-338Number2019
3-672Number2019
Girls 3-643Number2019
Boys 3-629Number2019
6-1092Number2019
10-15150Number2019
15-18103Number2019
18-2064Number2019
20-25102Number2019
25-30124Number2019
30-35213Number2019
35-40200Number2019
40-45220Number2019
45-50248Number2019
50-55302Number2019
55-60321Number2019
60-65320Number2019
65-75481Number2019
Women 65-70251Number2019
Men 65-70230Number2019
75+570Number2019
Women 75+364Number2019
Men 75+206Number2019
% 0-107%Percentage2019
% 10-187%Percentage2019
% 18-308%Percentage2019
% 30-4517%Percentage2019
% 45-6024%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 code160755011116Code2019
Region code 8 digits16075116Code16075116
Sorting code160755011116Code160755011116
Sorting code 8 digits16075116Code16075116
Region nameTriptisName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city TriptisName2019
Region name in GermanGemeinde Stadt TriptisName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area33Area in km²2019
ReligionValueUnitYear
Roman Catholic church148Number2011
Protestant church948Number2011
Other or none2.639Number2011
% Roman Catholic church4%Percentage2011
% Protestant church25%Percentage2011
% Other or none71%Percentage2011
Roman Catholic church German145Number2011
Protestant church German948Number2011
Other or none German2.618Number2011
% Roman Catholic church German4%Percentage2011
% Protestant church German26%Percentage2011
% Other or none German Foreign71%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign21Number2011
% Roman Catholic church Foreign12%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign88%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.