Information about the municipality city Bad Königshofen i. Grabfeld:

View the information on over 100 topics about the municipality city Bad Königshofen i. Grabfeld! 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 Bad Königshofen i. Grabfeld! 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 Bad Königshofen i. Grabfeld

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

Population numbers in the municipality city Bad Königshofen i. Grabfeld 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 Bad Königshofen i. Grabfeld
Map of Rural district Rhön-Grabfeld with the population per municipality.Municipality Bad Königshofen i. Grabfeld 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 Rhön-Grabfeld with the population per municipality.Municipality Bad Königshofen i. Grabfeld is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Fladungen, 2: unincorporated area Mellrichstadter Forst, 3: municipality Willmars, 4: municipality Hausen, 5: municipality Nordheim v.d. Rhön ...Show more... Map of Rural district Rhön-Grabfeld with the population per municipality.Municipality Bad Königshofen i. Grabfeld is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Fladungen, 2: unincorporated area Mellrichstadter Forst, 3: municipality Willmars, 4: municipality Hausen, 5: municipality Nordheim v.d. Rhön, 6: municipality Sondheim v.d. Rhön, 7: municipality Stockheim, 8: municipality city Ostheim v.d. Rhön, 9: municipality Oberelsbach, 10: municipality city Mellrichstadt, 11: municipality Oberstreu, 12: municipality city Bischofsheim a.d. Rhön, 13: municipality Bastheim, 14: municipality Hendungen, 15: municipality Unsleben, 16: municipality Schönau a.d. Brend, 17: municipality Höchheim, 18: municipality Wollbach, 19: unincorporated area Weigler, 20: unincorporated area Burgwallbacher Forst, 21: municipality Hollstadt, 22: unincorporated area Forst Schmalwasser-Nord, 23: municipality Heustreu, 24: municipality Sandberg, 25: municipality Herbstadt, 26: municipality Aubstadt, 27: municipality city Bad Neustadt a.d. Saale, 28: municipality Wülfershausen a.d. Saale, 29: municipality Hohenroth, 30: unincorporated area Forst Schmalwasser-Süd, 31: unincorporated area Steinacher Forst r.d. Saale, 32: municipality Saal a.d. Saale, 33: municipality Rödelmaier, 34: municipality Großeibstadt, 35: municipality Trappstadt, 36: municipality Salz, 37: municipality Niederlauer, 38: municipality city Bad Königshofen i. Grabfeld, 39: municipality Strahlungen, 40: municipality Burglauer, 41: municipality Großbardorf, 42: municipality Sulzfeld, 43: municipality Sulzdorf a.d. Lederhecke, 44: unincorporated area Sulzfelder Forst, 45: unincorporated area Bundorfer Forst ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Bad Königshofen i. Grabfeld

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

Municipality city Bad Königshofen i. Grabfeld, 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 Bad Königshofen i. Grabfeld

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

Municipality city Bad Königshofen i. Grabfeld, 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 Bad Königshofen i. Grabfeld.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses9Number2017
Active persons858Number2017
Gross wages€23.668Euro2017
DwellingsValueUnitYear
Houses 1 room42Number2019
Houses 2 rooms197Number2019
Houses 3 rooms449Number2019
Houses 4 rooms508Number2019
Houses 5 rooms548Number2019
Houses 6 rooms437Number2019
Houses 7+ rooms 697Number2019
Houses 1-2 rooms239Number2019
Houses 3-4 rooms957Number2019
Houses 5+ rooms1.682Number2019
1-2 rooms8%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms58%Percentage2019
ElectionsValueUnitYear
Voters Bundestag4673,00Number2017
Voter turnout Bundestag75Number2017
Votes valid Bundestag3.472Number2017
Votes Bundestag CDU/CSU1.561Number2017
Votes Bundestag SPD466Number2017
Votes Bundestag GRÜNE251Number2017
Votes Bundestag FDP310Number2017
Votes Bundestag DIE LINKE257Number2017
Votes Bundestag AfD391Number2017
Votes Bundestag other parties236Number2017
Votes Bundestag total3.472Number2017
% Votes Bundestag CDU/CSU33%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees2.244Number2019
Employees male1.205Number2019
Employees female1.039Number2019
Employees foreigner112Number2019
Employees male foreigner71Number2019
Employees female foreigner41Number2019
Unemployed84Number2018
Unemployed foreigners16Number2018
Unemployed severely disabled11Number2018
Unemployed 15-201Number2018
Unemployed 15-2510Number2018
Unemployed 55-6520Number2018
Unemployed long-term22Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers2.835Number2015
Income total€100.273Euro2015
Income tax€15.613Euro2015
PopulationValueUnitYear
Population5.984Number2019
Men2.909Number2019
Women3.075Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-181.011Number2019
18-30749Number2019
30-45974Number2019
45-601.352Number2019
18-603.075Number2019
60-751.092Number2019
60+1.898Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female48Average number2019
Births58Number2018
Births male34Number2018
Births female24Number2018
1K Births10Number per 1000 inhabitants2018
Deaths105Number2018
Deaths male50Number2018
Deaths female55Number2018
1K Deaths18Number2018
0-3152Number2019
Girls 0-362Number2019
Boys 0-390Number2019
3-6135Number2019
Girls 3-671Number2019
Boys 3-664Number2019
6-10218Number2019
10-15307Number2019
15-18199Number2019
18-20114Number2019
20-25313Number2019
25-30322Number2019
30-35309Number2019
35-40324Number2019
40-45341Number2019
45-50431Number2019
50-55478Number2019
55-60443Number2019
60-65419Number2019
65-75673Number2019
Women 65-70357Number2019
Men 65-70316Number2019
75+806Number2019
Women 75+496Number2019
Men 75+310Number2019
% 0-108%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4516%Percentage2019
% 45-6023%Percentage2019
% 60+32%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 code096730141141Code2019
Region code 8 digits09673141Code09673141
Sorting code096730141141Code096730141141
Sorting code 8 digits09673141Code09673141
Region nameBad Königshofen i. GrabfeldName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city Bad Königshofen i. GrabfeldName2019
Region name in GermanGemeinde Stadt Bad Königshofen i. GrabfeldName2019
Direct subregionsno dataNumber2019
NUTS codeDE266Code2019
Area70Area in km²2019
ReligionValueUnitYear
Roman Catholic church3.895Number2011
Protestant church1.263Number2011
Other or none777Number2011
% Roman Catholic church66%Percentage2011
% Protestant church21%Percentage2011
% Other or none13%Percentage2011
Roman Catholic church German3.860Number2011
Protestant church German1.243Number2011
Other or none German631Number2011
% Roman Catholic church German67%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign35Number2011
Protestant church Foreign20Number2011
Other or none Foreign146Number2011
% Roman Catholic church Foreign17%Percentage2011
% Protestant church Foreign10%Percentage2011
% Other or none Foreign73%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.