Information about the municipality Schlegel:

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

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

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Municipality Schlegel, 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 Schlegel

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Municipality Schlegel, 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 Schlegel.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms3Number2019
Houses 3 rooms28Number2019
Houses 4 rooms40Number2019
Houses 5 rooms23Number2019
Houses 6 rooms26Number2019
Houses 7+ rooms 39Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms68Number2019
Houses 5+ rooms88Number2019
1-2 rooms2%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms55%Percentage2019
ElectionsValueUnitYear
Voters Bundestag273,00Number2017
Voter turnout Bundestag60Number2017
Votes valid Bundestag164Number2017
Votes Bundestag CDU/CSU58Number2017
Votes Bundestag SPD20Number2017
Votes Bundestag GRÜNE0Number2017
Votes Bundestag FDP3Number2017
Votes Bundestag DIE LINKE26Number2017
Votes Bundestag AfD48Number2017
Votes Bundestag other parties9Number2017
Votes Bundestag total164Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE0%Percentage2017
% Votes Bundestag FDP1%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD18%Percentage2017
% Votes Bundestag other parties3%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 55-653Number2018
Unemployed long-term2Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers136Number2015
Income total€4.042Euro2015
Income tax€443Euro2015
PopulationValueUnitYear
Population309Number2019
Men149Number2019
Women160Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-1838Number2019
18-3018Number2019
30-4541Number2019
45-6080Number2019
18-60139Number2019
60-7585Number2019
60+132Number2019
Average age52Average number2019
Average age male53Average number2019
Average age female52Average number2019
Birthsno dataNumber2016
Births maleno dataNumber2016
Births femaleno dataNumber2016
1K Birthsno dataNumber per 1000 inhabitants2016
Deaths5Number2018
Deaths male1Number2018
Deaths female4Number2018
1K Deaths17Number2018
0-35Number2019
Girls 0-35Number2019
Boys 0-30Number2019
3-65Number2019
Girls 3-62Number2019
Boys 3-63Number2019
6-109Number2019
10-159Number2019
15-1810Number2019
18-202Number2019
20-254Number2019
25-3012Number2019
30-3510Number2019
35-4015Number2019
40-4516Number2019
45-5019Number2019
50-5516Number2019
55-6045Number2019
60-6538Number2019
65-7547Number2019
Women 65-7021Number2019
Men 65-7026Number2019
75+47Number2019
Women 75+29Number2019
Men 75+18Number2019
% 0-106%Percentage2019
% 10-186%Percentage2019
% 18-306%Percentage2019
% 30-4513%Percentage2019
% 45-6026%Percentage2019
% 60+43%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 code160755008097Code2019
Region code 8 digits16075097Code16075097
Sorting code160755008097Code160755008097
Sorting code 8 digits16075097Code16075097
Region nameSchlegelName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchlegelName2019
Region name in GermanGemeinde SchlegelName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area12Area in km²2019
ReligionValueUnitYear
Roman Catholic church6Number2011
Protestant church231Number2011
Other or none129Number2011
% Roman Catholic church2%Percentage2011
% Protestant church63%Percentage2011
% Other or none35%Percentage2011
Roman Catholic church German6Number2011
Protestant church German231Number2011
Other or none German129Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German63%Percentage2011
% Other or none German Foreign35%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.