Information about the municipality Wilhelmsdorf:

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

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

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Municipality Wilhelmsdorf, 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 Wilhelmsdorf

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Municipality Wilhelmsdorf, 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 Wilhelmsdorf.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality Wilhelmsdorf. 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 rooms17Number2019
Houses 4 rooms29Number2019
Houses 5 rooms20Number2019
Houses 6 rooms19Number2019
Houses 7+ rooms 24Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms46Number2019
Houses 5+ rooms63Number2019
1-2 rooms3%Percentage2019
3-4 rooms41%Percentage2019
5+ rooms56%Percentage2019
ElectionsValueUnitYear
Voters Bundestag183,00Number2017
Voter turnout Bundestag72Number2017
Votes valid Bundestag132Number2017
Votes Bundestag CDU/CSU46Number2017
Votes Bundestag SPD15Number2017
Votes Bundestag GRÜNE0Number2017
Votes Bundestag FDP9Number2017
Votes Bundestag DIE LINKE23Number2017
Votes Bundestag AfD26Number2017
Votes Bundestag other parties13Number2017
Votes Bundestag total132Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE0%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE13%Percentage2017
% Votes Bundestag AfD14%Percentage2017
% Votes Bundestag other parties7%Percentage2017
EmploymentValueUnitYear
Employees91Number2019
Employees male42Number2019
Employees female49Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed4Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-652Number2018
Unemployed long-term2Number2018
% 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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers114Number2015
Income total€3.439Euro2015
Income tax€490Euro2015
PopulationValueUnitYear
Population212Number2019
Men106Number2019
Women106Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1824Number2019
18-3012Number2019
30-4536Number2019
45-6071Number2019
18-60119Number2019
60-7548Number2019
60+69Number2019
Average age49Average number2019
Average age male49Average number2019
Average age female49Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths4Number2018
Deaths male2Number2018
Deaths female2Number2018
1K Deaths19Number2018
0-33Number2019
Girls 0-32Number2019
Boys 0-31Number2019
3-65Number2019
Girls 3-63Number2019
Boys 3-62Number2019
6-108Number2019
10-154Number2019
15-184Number2019
18-203Number2019
20-255Number2019
25-304Number2019
30-3518Number2019
35-4013Number2019
40-455Number2019
45-5016Number2019
50-5525Number2019
55-6030Number2019
60-6526Number2019
65-7522Number2019
Women 65-7010Number2019
Men 65-7012Number2019
75+21Number2019
Women 75+12Number2019
Men 75+9Number2019
% 0-108%Percentage2019
% 10-184%Percentage2019
% 18-306%Percentage2019
% 30-4517%Percentage2019
% 45-6033%Percentage2019
% 60+33%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 code160755013125Code2019
Region code 8 digits16075125Code16075125
Sorting code160755013125Code160755013125
Sorting code 8 digits16075125Code16075125
Region nameWilhelmsdorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality WilhelmsdorfName2019
Region name in GermanGemeinde WilhelmsdorfName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area9Area in km²2019
ReligionValueUnitYear
Roman Catholic church6Number2011
Protestant church77Number2011
Other or none137Number2011
% Roman Catholic church3%Percentage2011
% Protestant church35%Percentage2011
% Other or none62%Percentage2011
Roman Catholic church German6Number2011
Protestant church German77Number2011
Other or none German137Number2011
% Roman Catholic church German3%Percentage2011
% Protestant church German35%Percentage2011
% Other or none German Foreign62%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.