Map of Rural district Schmalkalden-Meiningen with the population per municipality.Municipality Frankenheim/Rhön 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 Frankenheim/Rhön 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...
Municipality Frankenheim/Rhön, 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 Frankenheim/Rhön.
The table below shows data for more than 100 topics as most recently available for the municipality Frankenheim/Rhön. Select a category to display the related topics:
Business | Value | Unit | Year |
---|---|---|---|
Businesses | 1 | Number | 2017 |
Active persons | 0 | Number | 2017 |
Gross wages | €0 | Euro | 2017 |
Dwellings | Value | Unit | Year |
---|---|---|---|
Houses 1 room | 1 | Number | 2019 |
Houses 2 rooms | 14 | Number | 2019 |
Houses 3 rooms | 66 | Number | 2019 |
Houses 4 rooms | 113 | Number | 2019 |
Houses 5 rooms | 97 | Number | 2019 |
Houses 6 rooms | 113 | Number | 2019 |
Houses 7+ rooms | 102 | Number | 2019 |
Houses 1-2 rooms | 15 | Number | 2019 |
Houses 3-4 rooms | 179 | Number | 2019 |
Houses 5+ rooms | 312 | Number | 2019 |
1-2 rooms | 3% | Percentage | 2019 |
3-4 rooms | 35% | Percentage | 2019 |
5+ rooms | 62% | Percentage | 2019 |
Elections | Value | Unit | Year |
---|---|---|---|
Voters Bundestag | 921,00 | Number | 2017 |
Voter turnout Bundestag | 53 | Number | 2017 |
Votes valid Bundestag | 482 | Number | 2017 |
Votes Bundestag CDU/CSU | 151 | Number | 2017 |
Votes Bundestag SPD | 85 | Number | 2017 |
Votes Bundestag GRÜNE | 7 | Number | 2017 |
Votes Bundestag FDP | 35 | Number | 2017 |
Votes Bundestag DIE LINKE | 67 | Number | 2017 |
Votes Bundestag AfD | 124 | Number | 2017 |
Votes Bundestag other parties | 13 | Number | 2017 |
Votes Bundestag total | 482 | Number | 2017 |
% Votes Bundestag CDU/CSU | 16% | Percentage | 2017 |
% Votes Bundestag SPD | 9% | Percentage | 2017 |
% Votes Bundestag GRÜNE | 1% | Percentage | 2017 |
% Votes Bundestag FDP | 4% | Percentage | 2017 |
% Votes Bundestag DIE LINKE | 7% | Percentage | 2017 |
% Votes Bundestag AfD | 13% | Percentage | 2017 |
% Votes Bundestag other parties | 1% | Percentage | 2017 |
Employment | Value | Unit | Year |
---|---|---|---|
Employees | 489 | Number | 2019 |
Employees male | 292 | Number | 2019 |
Employees female | 197 | Number | 2019 |
Employees foreigner | 0 | Number | 2019 |
Employees male foreigner | 0 | Number | 2019 |
Employees female foreigner | 0 | Number | 2019 |
Unemployed | 24 | Number | 2018 |
Unemployed foreigners | 0 | Number | 2018 |
Unemployed severely disabled | 3 | Number | 2018 |
Unemployed 15-20 | 0 | Number | 2018 |
Unemployed 15-25 | 0 | Number | 2018 |
Unemployed 55-65 | 6 | Number | 2018 |
Unemployed long-term | 11 | Number | 2018 |
% Unemployed | 2% | Percentage | 2018 |
% Unemployed foreigners | 0% | Percentage of the population | 2018 |
% Unemployed severely disabled | 0% | Percentage of the population | 2018 |
% Unemployed 15-20 | 0% | Percentage of the population | 2018 |
% Unemployed 15-25 | 0% | Percentage of the population | 2018 |
% Unemployed 55-65 | 1% | Percentage of the population | 2018 |
% Unemployed long-term | 1% | Percentage of the population | 2018 |
Income | Value | Unit | Year |
---|---|---|---|
Income receivers | 482 | Number | 2015 |
Income total | €13.587 | Euro | 2015 |
Income tax | €1.687 | Euro | 2015 |
Population | Value | Unit | Year |
---|---|---|---|
Population | 1.085 | Number | 2019 |
Men | 554 | Number | 2019 |
Women | 531 | Number | 2019 |
% Men | 51% | Percentage | 2019 |
% Women | 49% | Percentage | 2019 |
0-18 | 190 | Number | 2019 |
18-30 | 96 | Number | 2019 |
30-45 | 211 | Number | 2019 |
45-60 | 274 | Number | 2019 |
18-60 | 581 | Number | 2019 |
60-75 | 220 | Number | 2019 |
60+ | 314 | Number | 2019 |
Average age | 45 | Average number | 2019 |
Average age male | 44 | Average number | 2019 |
Average age female | 46 | Average number | 2019 |
Births | 14 | Number | 2018 |
Births male | 7 | Number | 2018 |
Births female | 7 | Number | 2018 |
1K Births | 13 | Number per 1000 inhabitants | 2018 |
Deaths | 14 | Number | 2018 |
Deaths male | 7 | Number | 2018 |
Deaths female | 7 | Number | 2018 |
1K Deaths | 13 | Number | 2018 |
0-3 | 28 | Number | 2019 |
Girls 0-3 | 15 | Number | 2019 |
Boys 0-3 | 13 | Number | 2019 |
3-6 | 37 | Number | 2019 |
Girls 3-6 | 20 | Number | 2019 |
Boys 3-6 | 17 | Number | 2019 |
6-10 | 37 | Number | 2019 |
10-15 | 55 | Number | 2019 |
15-18 | 33 | Number | 2019 |
18-20 | 15 | Number | 2019 |
20-25 | 35 | Number | 2019 |
25-30 | 46 | Number | 2019 |
30-35 | 78 | Number | 2019 |
35-40 | 74 | Number | 2019 |
40-45 | 59 | Number | 2019 |
45-50 | 87 | Number | 2019 |
50-55 | 89 | Number | 2019 |
55-60 | 98 | Number | 2019 |
60-65 | 95 | Number | 2019 |
65-75 | 125 | Number | 2019 |
Women 65-70 | 66 | Number | 2019 |
Men 65-70 | 59 | Number | 2019 |
75+ | 94 | Number | 2019 |
Women 75+ | 62 | Number | 2019 |
Men 75+ | 32 | Number | 2019 |
% 0-10 | 9% | Percentage | 2019 |
% 10-18 | 8% | Percentage | 2019 |
% 18-30 | 9% | Percentage | 2019 |
% 30-45 | 19% | Percentage | 2019 |
% 45-60 | 25% | Percentage | 2019 |
% 60+ | 29% | Percentage | 2019 |
Real estate | Value | Unit | Year |
---|---|---|---|
Property tax A revenue | no data | Euro | no data |
Property tax B revenue | no data | Euro | no data |
Trade tax actual revenue | no data | Euro | no data |
Property tax A basic amount | no data | Euro | no data |
Property tax B basic amount | no data | Euro | no data |
Trade tax basic amount | no data | Euro | no data |
Property tax A rate | no data | Euro | no data |
Property tax B rate | no data | Euro | no data |
Trade tax rate | no data | Euro | no data |
Real tax raising force | no data | Euro | no data |
Trade tax levy | no data | Euro | no data |
Trade tax net | no data | Euro | no data |
Community share in income tax | no data | Euro | no data |
Community share in sales tax | no data | Euro | no data |
Tax revenue | no data | Euro | no data |
Regional | Value | Unit | Year |
---|---|---|---|
Region code | 160665005024 | Code | 2019 |
Region code 8 digits | 16066024 | Code | 16066024 |
Sorting code | 160665005024 | Code | 160665005024 |
Sorting code 8 digits | 16066024 | Code | 16066024 |
Region name | Frankenheim/Rhön | Name | 2019 |
Regional level | 6 | Categorical type | 2019 |
Region type | Municipality | Categorical type | 2019 |
Region type detail | municipality | Categorical type | 2019 |
Region name with type | municipality Frankenheim/Rhön | Name | 2019 |
Region name in German | Gemeinde Frankenheim/Rhön | Name | 2019 |
Direct subregions | no data | Number | 2019 |
NUTS code | DEG0B | Code | 2019 |
Area | 9 | Area in km² | 2019 |
Religion | Value | Unit | Year |
---|---|---|---|
Roman Catholic church | 18 | Number | 2011 |
Protestant church | 565 | Number | 2011 |
Other or none | 602 | Number | 2011 |
% Roman Catholic church | 2% | Percentage | 2011 |
% Protestant church | 48% | Percentage | 2011 |
% Other or none | 51% | Percentage | 2011 |
Roman Catholic church German | 18 | Number | 2011 |
Protestant church German | 565 | Number | 2011 |
Other or none German | 602 | Number | 2011 |
% Roman Catholic church German | 2% | Percentage | 2011 |
% Protestant church German | 48% | Percentage | 2011 |
% Other or none German Foreign | 51% | Percentage | 2011 |
Roman Catholic church Foreign | 0 | Number | 2011 |
Protestant church Foreign | 0 | Number | 2011 |
Other or none Foreign | 0 | Number | 2011 |
% Roman Catholic church Foreign | no data | Percentage | no data |
% Protestant church Foreign | no data | Percentage | no data |
% Other or none Foreign | no data | Percentage | no data |
Data is used from multiple German open data providers. See this description of the sources with the definitions of all regional topics.
Sources & definitionsThis page will be further expanded with more topics in clear graphs. This will be done in several iterations in the coming weeks.