Information about the municipality city Gefell:

Population numbers per year
The number of inhabitants in the municipality city Gefell

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

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Municipality city Gefell, 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 Gefell

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Municipality city Gefell, 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 Gefell.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room2Number2019
Houses 2 rooms56Number2019
Houses 3 rooms192Number2019
Houses 4 rooms323Number2019
Houses 5 rooms275Number2019
Houses 6 rooms192Number2019
Houses 7+ rooms 208Number2019
Houses 1-2 rooms58Number2019
Houses 3-4 rooms515Number2019
Houses 5+ rooms675Number2019
1-2 rooms5%Percentage2019
3-4 rooms41%Percentage2019
5+ rooms54%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2050,00Number2017
Voter turnout Bundestag67Number2017
Votes valid Bundestag1.349Number2017
Votes Bundestag CDU/CSU405Number2017
Votes Bundestag SPD159Number2017
Votes Bundestag GRÜNE31Number2017
Votes Bundestag FDP78Number2017
Votes Bundestag DIE LINKE171Number2017
Votes Bundestag AfD413Number2017
Votes Bundestag other parties92Number2017
Votes Bundestag total1.349Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE8%Percentage2017
% Votes Bundestag AfD20%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.145Number2019
Employees male601Number2019
Employees female544Number2019
Employees foreigner28Number2019
Employees male foreigner17Number2019
Employees female foreigner11Number2019
Unemployed38Number2018
Unemployed foreigners2Number2018
Unemployed severely disabled4Number2018
Unemployed 15-201Number2018
Unemployed 15-252Number2018
Unemployed 55-6515Number2018
Unemployed long-term11Number2018
% 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 receivers1.163Number2015
Income total€31.788Euro2015
Income tax€3.591Euro2015
PopulationValueUnitYear
Population2.468Number2019
Men1.233Number2019
Women1.235Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18405Number2019
18-30225Number2019
30-45454Number2019
45-60634Number2019
18-601.313Number2019
60-75461Number2019
60+750Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female48Average number2019
Births21Number2018
Births male14Number2018
Births female7Number2018
1K Births9Number per 1000 inhabitants2018
Deaths28Number2018
Deaths male13Number2018
Deaths female15Number2018
1K Deaths11Number2018
0-371Number2019
Girls 0-325Number2019
Boys 0-346Number2019
3-679Number2019
Girls 3-646Number2019
Boys 3-633Number2019
6-1087Number2019
10-15104Number2019
15-1864Number2019
18-2036Number2019
20-2580Number2019
25-30109Number2019
30-35143Number2019
35-40167Number2019
40-45144Number2019
45-50161Number2019
50-55211Number2019
55-60262Number2019
60-65177Number2019
65-75284Number2019
Women 65-70152Number2019
Men 65-70132Number2019
75+289Number2019
Women 75+183Number2019
Men 75+106Number2019
% 0-1010%Percentage2019
% 10-187%Percentage2019
% 18-309%Percentage2019
% 30-4518%Percentage2019
% 45-6026%Percentage2019
% 60+30%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 code160750131131Code2019
Region code 8 digits16075131Code16075131
Sorting code160750131131Code160750131131
Sorting code 8 digits16075131Code16075131
Region nameGefellName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city GefellName2019
Region name in GermanGemeinde Stadt GefellName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area45Area in km²2019
ReligionValueUnitYear
Roman Catholic church24Number2011
Protestant church1.238Number2011
Other or none1.379Number2011
% Roman Catholic church1%Percentage2011
% Protestant church47%Percentage2011
% Other or none52%Percentage2011
Roman Catholic church German24Number2011
Protestant church German1.235Number2011
Other or none German1.362Number2011
% Roman Catholic church German1%Percentage2011
% Protestant church German47%Percentage2011
% Other or none German Foreign52%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign3Number2011
Other or none Foreign17Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign15%Percentage2011
% Other or none Foreign85%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.