Information about the municipality Ilmtal-Weinstraße:

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

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Population numbers in the municipality Ilmtal-Weinstraße for the years 2015 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 Ilmtal-Weinstraße
Map of Rural district Weimarer Land with the population per municipality.Municipality Ilmtal-Weinstraße 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 Weimarer Land with the population per municipality.Municipality Ilmtal-Weinstraße is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Großheringen, 2: municipality Krautheim, 3: municipality city Neumark, 4: municipality city Bad Sulza, 5: municipality Rannstedt ...Show more... Map of Rural district Weimarer Land with the population per municipality.Municipality Ilmtal-Weinstraße is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Großheringen, 2: municipality Krautheim, 3: municipality city Neumark, 4: municipality city Bad Sulza, 5: municipality Rannstedt, 6: municipality Vippachedelhausen, 7: municipality Ködderitzsch, 8: municipality Eberstedt, 9: municipality city Buttelstedt, 10: municipality Schwerstedt, 11: municipality Rohrbach, 12: municipality Schmiedehausen, 13: municipality Niedertrebra, 14: municipality Leutenthal, 15: municipality Obertrebra, 16: municipality Ballstedt, 17: municipality Ilmtal-Weinstraße, 18: municipality Ramsla, 19: municipality Berlstedt, 20: municipality Heichelheim, 21: municipality Sachsenhausen, 22: municipality Großobringen, 23: municipality Ettersburg, 24: municipality Kleinobringen, 25: municipality Wohlsborn, 26: municipality city Apolda, 27: municipality Ottstedt a. Berge, 28: municipality Saaleplatte, 29: municipality Kromsdorf, 30: municipality Niederzimmern, 31: municipality Daasdorf a. Berge, 32: municipality Hopfgarten, 33: municipality Wiegendorf, 34: municipality Kapellendorf, 35: municipality Umpferstedt, 36: municipality Nohra, 37: municipality Frankendorf, 38: municipality Hammerstedt, 39: municipality Isseroda, 40: municipality Bechstedtstraß, 41: municipality Mönchenholzhausen, 42: municipality Großschwabhausen, 43: municipality Lehnstedt, 44: municipality Mellingen, 45: municipality Vollersroda, 46: municipality Kleinschwabhausen, 47: municipality Troistedt, 48: municipality Oettern, 49: municipality Döbritschen, 50: municipality Hetschburg, 51: municipality Klettbach, 52: municipality Mechelroda, 53: municipality Buchfart, 54: municipality Kiliansroda, 55: municipality city Magdala, 56: municipality Nauendorf, 57: municipality Tonndorf, 58: municipality city Bad Berka, 59: municipality Hohenfelden, 60: municipality city Blankenhain, 61: municipality city Kranichfeld, 62: municipality Rittersdorf ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Ilmtal-Weinstraße

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Municipality Ilmtal-Weinstraße, 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 Ilmtal-Weinstraße

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Municipality Ilmtal-Weinstraße, 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 Ilmtal-Weinstraße.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room3Number2019
Houses 2 rooms72Number2019
Houses 3 rooms256Number2019
Houses 4 rooms473Number2019
Houses 5 rooms493Number2019
Houses 6 rooms445Number2019
Houses 7+ rooms 427Number2019
Houses 1-2 rooms75Number2019
Houses 3-4 rooms729Number2019
Houses 5+ rooms1.365Number2019
1-2 rooms3%Percentage2019
3-4 rooms34%Percentage2019
5+ rooms63%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3838,00Number2017
Voter turnout Bundestag67Number2017
Votes valid Bundestag2.548Number2017
Votes Bundestag CDU/CSU870Number2017
Votes Bundestag SPD306Number2017
Votes Bundestag GRÜNE69Number2017
Votes Bundestag FDP229Number2017
Votes Bundestag DIE LINKE262Number2017
Votes Bundestag AfD616Number2017
Votes Bundestag other parties196Number2017
Votes Bundestag total2.548Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD16%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees2.783Number2019
Employees male1.391Number2019
Employees female1.392Number2019
Employees foreigner19Number2019
Employees male foreigner8Number2019
Employees female foreigner11Number2019
Unemployed73Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled5Number2018
Unemployed 15-201Number2018
Unemployed 15-254Number2018
Unemployed 55-6523Number2018
Unemployed long-term21Number2018
% 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 receivers2.151Number2015
Income total€68.748Euro2015
Income tax€9.296Euro2015
PopulationValueUnitYear
Population4.480Number2019
Men2.209Number2019
Women2.271Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18725Number2019
18-30355Number2019
30-45811Number2019
45-601.112Number2019
18-602.278Number2019
60-75972Number2019
60+1.477Number2019
Average age47Average number2019
Average age male47Average number2019
Average age female47Average number2019
Births35Number2018
Births male19Number2018
Births female16Number2018
1K Births8Number per 1000 inhabitants2018
Deaths43Number2018
Deaths male28Number2018
Deaths female15Number2018
1K Deaths10Number2018
0-3117Number2019
Girls 0-355Number2019
Boys 0-362Number2019
3-6109Number2019
Girls 3-666Number2019
Boys 3-643Number2019
6-10170Number2019
10-15220Number2019
15-18109Number2019
18-2058Number2019
20-25139Number2019
25-30158Number2019
30-35255Number2019
35-40277Number2019
40-45279Number2019
45-50317Number2019
50-55356Number2019
55-60439Number2019
60-65404Number2019
65-75568Number2019
Women 65-70282Number2019
Men 65-70286Number2019
75+505Number2019
Women 75+294Number2019
Men 75+211Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-308%Percentage2019
% 30-4518%Percentage2019
% 45-6025%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 code160715052101Code2019
Region code 8 digits16071101Code16071101
Sorting code160715052101Code160715052101
Sorting code 8 digits16071101Code16071101
Region nameIlmtal-WeinstraßeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Ilmtal-WeinstraßeName2019
Region name in GermanGemeinde Ilmtal-WeinstraßeName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0GCode2019
Area65Area in km²2019
ReligionValueUnitYear
Roman Catholic churchno dataNumberno data
Protestant churchno dataNumberno data
Other or noneno dataNumberno data
% Roman Catholic churchno dataPercentageno data
% Protestant churchno dataPercentageno data
% Other or noneno dataPercentageno data
Roman Catholic church Germanno dataNumberno data
Protestant church Germanno dataNumberno data
Other or none Germanno dataNumberno data
% Roman Catholic church Germanno dataPercentageno data
% Protestant church Germanno dataPercentageno data
% Other or none German Foreignno dataPercentageno data
Roman Catholic church Foreignno dataNumberno data
Protestant church Foreignno dataNumberno data
Other or none Foreignno dataNumberno data
% 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.