Information about the municipality city Oberhof:

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

One moment please, your device is loading the charts...

Population numbers in the municipality city Oberhof 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 Oberhof
Map of Rural district Schmalkalden-Meiningen with the population per municipality.Municipality Oberhof 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 Schmalkalden-Meiningen with the population per municipality.Municipality Oberhof is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Brotterode-Trusetal, 2: municipality Floh-Seligenthal, 3: municipality Breitungen/Werra, 4: municipality Fambach, 5: municipality Rotterode ...Show more... Map of Rural district Schmalkalden-Meiningen with the population per municipality.Municipality Oberhof is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Brotterode-Trusetal, 2: municipality Floh-Seligenthal, 3: municipality Breitungen/Werra, 4: municipality Fambach, 5: municipality Rotterode, 6: municipality Unterschönau, 7: municipality Rosa, 8: municipality city Schmalkalden, 9: municipality Oberschönau, 10: municipality city Oberhof, 11: municipality Altersbach, 12: municipality Roßdorf, 13: municipality city Steinbach-Hallenberg, 14: municipality Schwallungen, 15: municipality Bermbach, 16: municipality Hümpfershausen, 17: municipality city Zella-Mehlis, 18: municipality city Wasungen, 19: municipality Christes, 20: municipality Viernau, 21: municipality Friedelshausen, 22: municipality Metzels, 23: municipality Benshausen, 24: municipality Wahns, 25: municipality Mehmels, 26: municipality Oepfershausen, 27: municipality Wallbach, 28: municipality Schwarza, 29: municipality Kühndorf, 30: municipality Walldorf, 31: municipality Utendorf, 32: municipality Unterkatz, 33: municipality Unterweid, 34: municipality Kaltenwestheim, 35: municipality Rippershausen, 36: municipality Oberkatz, 37: municipality Aschenhausen, 38: municipality Stepfershausen, 39: municipality Kaltensundheim, 40: municipality Dillstädt, 41: municipality Oberweid, 42: municipality Rohr, 43: municipality city Meiningen, 44: municipality Erbenhausen, 45: municipality Melpers, 46: municipality Ellingshausen, 47: municipality Frankenheim/Rhön, 48: municipality Rhönblick, 49: municipality Belrieth, 50: municipality Obermaßfeld-Grimmenthal, 51: municipality Sülzfeld, 52: municipality Einhausen, 53: municipality Birx, 54: municipality Vachdorf, 55: municipality Untermaßfeld, 56: municipality Leutersdorf, 57: municipality Ritschenhausen, 58: municipality Neubrunn, 59: municipality Wölfershausen, 60: municipality Henneberg, 61: municipality Grabfeld ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Oberhof

One moment please, your device is loading the charts...

Municipality city Oberhof, 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 Oberhof

One moment please, your device is loading the charts...

Municipality city Oberhof, 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 Oberhof.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room26Number2019
Houses 2 rooms192Number2019
Houses 3 rooms373Number2019
Houses 4 rooms246Number2019
Houses 5 rooms135Number2019
Houses 6 rooms37Number2019
Houses 7+ rooms 35Number2019
Houses 1-2 rooms218Number2019
Houses 3-4 rooms619Number2019
Houses 5+ rooms207Number2019
1-2 rooms21%Percentage2019
3-4 rooms59%Percentage2019
5+ rooms20%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1256,00Number2017
Voter turnout Bundestag75Number2017
Votes valid Bundestag926Number2017
Votes Bundestag CDU/CSU314Number2017
Votes Bundestag SPD115Number2017
Votes Bundestag GRÜNE39Number2017
Votes Bundestag FDP79Number2017
Votes Bundestag DIE LINKE163Number2017
Votes Bundestag AfD152Number2017
Votes Bundestag other parties64Number2017
Votes Bundestag total926Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE13%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees649Number2019
Employees male326Number2019
Employees female323Number2019
Employees foreigner109Number2019
Employees male foreigner63Number2019
Employees female foreigner46Number2019
Unemployed43Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-253Number2018
Unemployed 55-6514Number2018
Unemployed long-term16Number2018
% Unemployed3%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 receivers887Number2015
Income total€23.383Euro2015
Income tax€3.235Euro2015
PopulationValueUnitYear
Population1.608Number2019
Men788Number2019
Women820Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18230Number2019
18-30199Number2019
30-45292Number2019
45-60330Number2019
18-60821Number2019
60-75366Number2019
60+557Number2019
Average age47Average number2019
Average age male45Average number2019
Average age female48Average number2019
Births16Number2018
Births male6Number2018
Births female10Number2018
1K Births10Number per 1000 inhabitants2018
Deaths21Number2018
Deaths male11Number2018
Deaths female10Number2018
1K Deaths13Number2018
0-339Number2019
Girls 0-324Number2019
Boys 0-315Number2019
3-645Number2019
Girls 3-620Number2019
Boys 3-625Number2019
6-1062Number2019
10-1557Number2019
15-1827Number2019
18-2020Number2019
20-25104Number2019
25-3075Number2019
30-3592Number2019
35-40105Number2019
40-4595Number2019
45-50109Number2019
50-55102Number2019
55-60119Number2019
60-65119Number2019
65-75247Number2019
Women 65-70132Number2019
Men 65-70115Number2019
75+191Number2019
Women 75+120Number2019
Men 75+71Number2019
% 0-109%Percentage2019
% 10-185%Percentage2019
% 18-3012%Percentage2019
% 30-4518%Percentage2019
% 45-6021%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 code160660047047Code2019
Region code 8 digits16066047Code16066047
Sorting code160660047047Code160660047047
Sorting code 8 digits16066047Code16066047
Region nameOberhofName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city OberhofName2019
Region name in GermanGemeinde Stadt OberhofName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0BCode2019
Area23Area in km²2019
ReligionValueUnitYear
Roman Catholic church75Number2011
Protestant church217Number2011
Other or none1.282Number2011
% Roman Catholic church5%Percentage2011
% Protestant church14%Percentage2011
% Other or none81%Percentage2011
Roman Catholic church German66Number2011
Protestant church German217Number2011
Other or none German1.276Number2011
% Roman Catholic church German4%Percentage2011
% Protestant church German14%Percentage2011
% Other or none German Foreign82%Percentage2011
Roman Catholic church Foreign9Number2011
Protestant church Foreign0Number2011
Other or none Foreign6Number2011
% Roman Catholic church Foreign60%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign40%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.