Information about the municipality Schmorda:

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

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

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Municipality Schmorda, 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 Schmorda

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Municipality Schmorda, 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 Schmorda.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms2Number2019
Houses 3 rooms6Number2019
Houses 4 rooms11Number2019
Houses 5 rooms7Number2019
Houses 6 rooms3Number2019
Houses 7+ rooms 11Number2019
Houses 1-2 rooms2Number2019
Houses 3-4 rooms17Number2019
Houses 5+ rooms21Number2019
1-2 rooms5%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms52%Percentage2019
ElectionsValueUnitYear
Voters Bundestag75,00Number2017
Voter turnout Bundestag71Number2017
Votes valid Bundestag52Number2017
Votes Bundestag CDU/CSU18Number2017
Votes Bundestag SPD5Number2017
Votes Bundestag GRÜNE0Number2017
Votes Bundestag FDP5Number2017
Votes Bundestag DIE LINKE6Number2017
Votes Bundestag AfD17Number2017
Votes Bundestag other parties1Number2017
Votes Bundestag total52Number2017
% Votes Bundestag CDU/CSU24%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE0%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE8%Percentage2017
% Votes Bundestag AfD23%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees19Number2019
Employees male13Number2019
Employees female6Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed1Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term1Number2018
% Unemployed1%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled1%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 receivers37Number2015
Income total€1.015Euro2015
Income tax€117Euro2015
PopulationValueUnitYear
Population89Number2019
Men41Number2019
Women48Number2019
% Men46%Percentage2019
% Women54%Percentage2019
0-1816Number2019
18-302Number2019
30-4514Number2019
45-6020Number2019
18-6036Number2019
60-7525Number2019
60+37Number2019
Average age51Average number2019
Average age male50Average number2019
Average age female51Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deathsno dataNumber2016
Deaths maleno dataNumber2016
Deaths femaleno dataNumber2016
1K Deathsno dataNumber2016
0-30Number2019
Girls 0-30Number2019
Boys 0-30Number2019
3-63Number2019
Girls 3-60Number2019
Boys 3-63Number2019
6-105Number2019
10-155Number2019
15-183Number2019
18-200Number2019
20-251Number2019
25-301Number2019
30-352Number2019
35-405Number2019
40-457Number2019
45-506Number2019
50-554Number2019
55-6010Number2019
60-657Number2019
65-7518Number2019
Women 65-708Number2019
Men 65-7010Number2019
75+12Number2019
Women 75+10Number2019
Men 75+2Number2019
% 0-109%Percentage2019
% 10-189%Percentage2019
% 18-302%Percentage2019
% 30-4516%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 code160755013101Code2019
Region code 8 digits16075101Code16075101
Sorting code160755013101Code160755013101
Sorting code 8 digits16075101Code16075101
Region nameSchmordaName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchmordaName2019
Region name in GermanGemeinde SchmordaName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic churchno dataNumberno data
Protestant church35Number2011
Other or none51Number2011
% Roman Catholic churchno dataPercentageno data
% Protestant church41%Percentage2011
% Other or none60%Percentage2011
Roman Catholic church Germanno dataNumberno data
Protestant church German35Number2011
Other or none German51Number2011
% Roman Catholic church Germanno dataPercentageno data
% Protestant church German41%Percentage2011
% Other or none German Foreign59%Percentage2011
Roman Catholic church Foreignno dataNumberno data
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.