Information about the municipality Blankenstein:

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

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

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Municipality Blankenstein, 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 Blankenstein

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Municipality Blankenstein, 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 Blankenstein.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms8Number2019
Houses 3 rooms83Number2019
Houses 4 rooms212Number2019
Houses 5 rooms92Number2019
Houses 6 rooms51Number2019
Houses 7+ rooms 48Number2019
Houses 1-2 rooms8Number2019
Houses 3-4 rooms295Number2019
Houses 5+ rooms191Number2019
1-2 rooms2%Percentage2019
3-4 rooms60%Percentage2019
5+ rooms39%Percentage2019
ElectionsValueUnitYear
Voters Bundestag619,00Number2017
Voter turnout Bundestag68Number2017
Votes valid Bundestag419Number2017
Votes Bundestag CDU/CSU133Number2017
Votes Bundestag SPD50Number2017
Votes Bundestag GRÜNE10Number2017
Votes Bundestag FDP15Number2017
Votes Bundestag DIE LINKE85Number2017
Votes Bundestag AfD100Number2017
Votes Bundestag other parties26Number2017
Votes Bundestag total419Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP2%Percentage2017
% Votes Bundestag DIE LINKE14%Percentage2017
% Votes Bundestag AfD16%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employeesno dataNumber2018
Employees maleno dataNumber2018
Employees femaleno dataNumber2018
Employees foreignerno dataNumber2018
Employees male foreignerno dataNumber2018
Employees female foreignerno dataNumber2018
Unemployed15Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-655Number2018
Unemployed long-term3Number2018
% 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 receivers347Number2015
Income total€10.250Euro2015
Income tax€1.373Euro2015
PopulationValueUnitYear
Population690Number2019
Men342Number2019
Women348Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1889Number2019
18-3039Number2019
30-45119Number2019
45-60151Number2019
18-60309Number2019
60-75168Number2019
60+292Number2019
Average age52Average number2019
Average age male50Average number2019
Average age female54Average number2019
Births4Number2018
Births male2Number2018
Births female2Number2018
1K Births6Number per 1000 inhabitants2018
Deaths15Number2018
Deaths male12Number2018
Deaths female3Number2018
1K Deaths21Number2018
0-313Number2019
Girls 0-34Number2019
Boys 0-39Number2019
3-616Number2019
Girls 3-67Number2019
Boys 3-69Number2019
6-1015Number2019
10-1526Number2019
15-1819Number2019
18-206Number2019
20-2514Number2019
25-3019Number2019
30-3538Number2019
35-4036Number2019
40-4545Number2019
45-5036Number2019
50-5552Number2019
55-6063Number2019
60-6565Number2019
65-75103Number2019
Women 65-7054Number2019
Men 65-7049Number2019
75+124Number2019
Women 75+72Number2019
Men 75+52Number2019
% 0-106%Percentage2019
% 10-187%Percentage2019
% 18-306%Percentage2019
% 30-4517%Percentage2019
% 45-6022%Percentage2019
% 60+42%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 code160755008004Code2019
Region code 8 digits16075004Code16075004
Sorting code160755008004Code160755008004
Sorting code 8 digits16075004Code16075004
Region nameBlankensteinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BlankensteinName2019
Region name in GermanGemeinde BlankensteinName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area2Area in km²2019
ReligionValueUnitYear
Roman Catholic church3Number2011
Protestant church322Number2011
Other or none486Number2011
% Roman Catholic church0%Percentage2011
% Protestant church40%Percentage2011
% Other or none60%Percentage2011
Roman Catholic church German3Number2011
Protestant church German322Number2011
Other or none German486Number2011
% Roman Catholic church German0%Percentage2011
% Protestant church German40%Percentage2011
% Other or none German Foreign60%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.