Information about the municipality city Schleiz:

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

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

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Municipality city Schleiz, 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 Schleiz

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Municipality city Schleiz, 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 Schleiz.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses7Number2017
Active persons818Number2017
Gross wages€21.562Euro2017
DwellingsValueUnitYear
Houses 1 room38Number2019
Houses 2 rooms265Number2019
Houses 3 rooms1.013Number2019
Houses 4 rooms1.351Number2019
Houses 5 rooms828Number2019
Houses 6 rooms552Number2019
Houses 7+ rooms 485Number2019
Houses 1-2 rooms303Number2019
Houses 3-4 rooms2.364Number2019
Houses 5+ rooms1.865Number2019
1-2 rooms7%Percentage2019
3-4 rooms52%Percentage2019
5+ rooms41%Percentage2019
ElectionsValueUnitYear
Voters Bundestag6891,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag5.049Number2017
Votes Bundestag CDU/CSU1.518Number2017
Votes Bundestag SPD594Number2017
Votes Bundestag GRÜNE130Number2017
Votes Bundestag FDP389Number2017
Votes Bundestag DIE LINKE757Number2017
Votes Bundestag AfD1.330Number2017
Votes Bundestag other parties331Number2017
Votes Bundestag total5.049Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE11%Percentage2017
% Votes Bundestag AfD19%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees3.696Number2019
Employees male1.964Number2019
Employees female1.732Number2019
Employees foreigner273Number2019
Employees male foreigner206Number2019
Employees female foreigner67Number2019
Unemployed178Number2018
Unemployed foreigners19Number2018
Unemployed severely disabled20Number2018
Unemployed 15-202Number2018
Unemployed 15-2515Number2018
Unemployed 55-6563Number2018
Unemployed long-term39Number2018
% 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 receivers4.046Number2015
Income total€111.804Euro2015
Income tax€14.535Euro2015
PopulationValueUnitYear
Population8.476Number2019
Men4.276Number2019
Women4.200Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-181.179Number2019
18-30917Number2019
30-451.541Number2019
45-601.880Number2019
18-604.338Number2019
60-751.762Number2019
60+2.959Number2019
Average age48Average number2019
Average age male45Average number2019
Average age female51Average number2019
Births72Number2018
Births male37Number2018
Births female35Number2018
1K Births9Number per 1000 inhabitants2018
Deaths131Number2018
Deaths male57Number2018
Deaths female74Number2018
1K Deaths15Number2018
0-3209Number2019
Girls 0-398Number2019
Boys 0-3111Number2019
3-6184Number2019
Girls 3-673Number2019
Boys 3-6111Number2019
6-10267Number2019
10-15339Number2019
15-18180Number2019
18-20144Number2019
20-25386Number2019
25-30387Number2019
30-35541Number2019
35-40518Number2019
40-45482Number2019
45-50535Number2019
50-55634Number2019
55-60711Number2019
60-65663Number2019
65-751.099Number2019
Women 65-70596Number2019
Men 65-70503Number2019
75+1.197Number2019
Women 75+748Number2019
Men 75+449Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4518%Percentage2019
% 45-6022%Percentage2019
% 60+35%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 code160750098098Code2019
Region code 8 digits16075098Code16075098
Sorting code160750098098Code160750098098
Sorting code 8 digits16075098Code16075098
Region nameSchleizName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city SchleizName2019
Region name in GermanGemeinde Stadt SchleizName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area83Area in km²2019
ReligionValueUnitYear
Roman Catholic church264Number2011
Protestant church3.399Number2011
Other or none4.927Number2011
% Roman Catholic church3%Percentage2011
% Protestant church40%Percentage2011
% Other or none57%Percentage2011
Roman Catholic church German236Number2011
Protestant church German3.393Number2011
Other or none German4.846Number2011
% Roman Catholic church German3%Percentage2011
% Protestant church German40%Percentage2011
% Other or none German Foreign57%Percentage2011
Roman Catholic church Foreign28Number2011
Protestant church Foreign6Number2011
Other or none Foreign81Number2011
% Roman Catholic church Foreign24%Percentage2011
% Protestant church Foreign5%Percentage2011
% Other or none Foreign70%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.