Information about the municipality Schöndorf:

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

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

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Municipality Schöndorf, 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 Schöndorf

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Municipality Schöndorf, 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 Schöndorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms23Number2019
Houses 4 rooms29Number2019
Houses 5 rooms35Number2019
Houses 6 rooms29Number2019
Houses 7+ rooms 30Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms52Number2019
Houses 5+ rooms94Number2019
1-2 rooms2%Percentage2019
3-4 rooms35%Percentage2019
5+ rooms63%Percentage2019
ElectionsValueUnitYear
Voters Bundestag243,00Number2017
Voter turnout Bundestag65Number2017
Votes valid Bundestag157Number2017
Votes Bundestag CDU/CSU38Number2017
Votes Bundestag SPD17Number2017
Votes Bundestag GRÜNE2Number2017
Votes Bundestag FDP15Number2017
Votes Bundestag DIE LINKE24Number2017
Votes Bundestag AfD51Number2017
Votes Bundestag other parties10Number2017
Votes Bundestag total157Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD21%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees95Number2019
Employees male52Number2019
Employees female43Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed6Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-653Number2018
Unemployed long-term1Number2018
% 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 receivers130Number2015
Income total€3.435Euro2015
Income tax€376Euro2015
PopulationValueUnitYear
Population276Number2019
Men149Number2019
Women127Number2019
% Men54%Percentage2019
% Women46%Percentage2019
0-1842Number2019
18-3020Number2019
30-4541Number2019
45-6067Number2019
18-60128Number2019
60-7564Number2019
60+106Number2019
Average age49Average number2019
Average age male48Average number2019
Average age female50Average number2019
Births3Number2018
Births male2Number2018
Births female1Number2018
1K Births11Number per 1000 inhabitants2018
Deaths3Number2018
Deaths male1Number2018
Deaths female2Number2018
1K Deaths11Number2018
0-312Number2019
Girls 0-35Number2019
Boys 0-37Number2019
3-610Number2019
Girls 3-63Number2019
Boys 3-67Number2019
6-109Number2019
10-157Number2019
15-184Number2019
18-202Number2019
20-258Number2019
25-3010Number2019
30-3517Number2019
35-4015Number2019
40-459Number2019
45-5016Number2019
50-5513Number2019
55-6038Number2019
60-6529Number2019
65-7535Number2019
Women 65-7016Number2019
Men 65-7019Number2019
75+42Number2019
Women 75+20Number2019
Men 75+22Number2019
% 0-1011%Percentage2019
% 10-184%Percentage2019
% 18-307%Percentage2019
% 30-4515%Percentage2019
% 45-6024%Percentage2019
% 60+38%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 code160755013102Code2019
Region code 8 digits16075102Code16075102
Sorting code160755013102Code160755013102
Sorting code 8 digits16075102Code16075102
Region nameSchöndorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchöndorfName2019
Region name in GermanGemeinde SchöndorfName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church4Number2011
Protestant church167Number2011
Other or none116Number2011
% Roman Catholic church1%Percentage2011
% Protestant church58%Percentage2011
% Other or none40%Percentage2011
Roman Catholic church German4Number2011
Protestant church German167Number2011
Other or none German116Number2011
% Roman Catholic church German1%Percentage2011
% Protestant church German58%Percentage2011
% Other or none German Foreign40%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.