Information about the municipality Gesees:

Population numbers per year
The number of inhabitants in the municipality Gesees

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Population numbers in the municipality Gesees 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 Gesees
Map of Rural district Bayreuth with the population per municipality.Municipality Gesees 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 Bayreuth with the population per municipality.Municipality Gesees is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Gefrees, 2: municipality Bischofsgrün, 3: unincorporated area Bischofsgrüner Forst, 4: municipality city Bad Berneck i. Fichtelgebirge, 5: unincorporated area Neubauer Forst-Nord ...Show more... Map of Rural district Bayreuth with the population per municipality.Municipality Gesees is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Gefrees, 2: municipality Bischofsgrün, 3: unincorporated area Bischofsgrüner Forst, 4: municipality city Bad Berneck i. Fichtelgebirge, 5: unincorporated area Neubauer Forst-Nord, 6: unincorporated area Warmensteinacher Forst-Nord, 7: unincorporated area Goldkronacher Forst, 8: municipality Fichtelberg, 9: municipality city Goldkronach, 10: municipality Warmensteinach, 11: unincorporated area Fichtelberg, 12: municipality Bindlach, 13: municipality Mehlmeisel, 14: municipality Heinersreuth, 15: unincorporated area Forst Neustädtlein a. Forst, 16: unincorporated area Heinersreuther Forst, 17: municipality Eckersdorf, 18: municipality Weidenberg, 19: municipality city Hollfeld, 20: municipality Kirchenpingarten, 21: municipality Mistelbach, 22: municipality Mistelgau, 23: municipality Gesees, 24: municipality Seybothenreuth, 25: municipality Aufseß, 26: municipality Plankenfels, 27: municipality Glashütten, 28: municipality Emtmannsberg, 29: municipality Haag, 30: unincorporated area Glashüttener Forst, 31: unincorporated area Langweiler Wald, 32: municipality Hummeltal, 33: municipality Speichersdorf, 34: unincorporated area Lindenhardter Forst-Nordwest, 35: unincorporated area Lindenhardter Forst-Südost, 36: municipality city Creußen, 37: municipality city Waischenfeld, 38: municipality Ahorntal, 39: municipality Prebitz, 40: municipality Schnabelwaid, 41: unincorporated area Prüll, 42: municipality city Pottenstein, 43: municipality city Pegnitz, 44: unincorporated area Waidacher Forst, 45: unincorporated area Veldensteiner Forst, 46: municipality city Betzenstein, 47: municipality Plech ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Gesees

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Municipality Gesees, 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 Gesees

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Municipality Gesees, 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 Gesees.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room10Number2019
Houses 2 rooms23Number2019
Houses 3 rooms73Number2019
Houses 4 rooms99Number2019
Houses 5 rooms120Number2019
Houses 6 rooms108Number2019
Houses 7+ rooms 179Number2019
Houses 1-2 rooms33Number2019
Houses 3-4 rooms172Number2019
Houses 5+ rooms407Number2019
1-2 rooms5%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1024,00Number2017
Voter turnout Bundestag85Number2017
Votes valid Bundestag872Number2017
Votes Bundestag CDU/CSU381Number2017
Votes Bundestag SPD139Number2017
Votes Bundestag GRÜNE62Number2017
Votes Bundestag FDP97Number2017
Votes Bundestag DIE LINKE34Number2017
Votes Bundestag AfD100Number2017
Votes Bundestag other parties59Number2017
Votes Bundestag total872Number2017
% Votes Bundestag CDU/CSU37%Percentage2017
% Votes Bundestag SPD14%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties6%Percentage2017
EmploymentValueUnitYear
Employees485Number2019
Employees male252Number2019
Employees female233Number2019
Employees foreigner8Number2019
Employees male foreigner4Number2019
Employees female foreigner4Number2019
Unemployed22Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled5Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-659Number2018
Unemployed long-term7Number2018
% 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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers638Number2015
Income total€29.214Euro2015
Income tax€5.110Euro2015
PopulationValueUnitYear
Population1.267Number2019
Men624Number2019
Women643Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18233Number2019
18-30112Number2019
30-45212Number2019
45-60317Number2019
18-60641Number2019
60-75257Number2019
60+393Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female46Average number2019
Births10Number2018
Births male2Number2018
Births female8Number2018
1K Births8Number per 1000 inhabitants2018
Deaths11Number2018
Deaths male7Number2018
Deaths female4Number2018
1K Deaths9Number2018
0-333Number2019
Girls 0-318Number2019
Boys 0-315Number2019
3-637Number2019
Girls 3-622Number2019
Boys 3-615Number2019
6-1049Number2019
10-1569Number2019
15-1845Number2019
18-2018Number2019
20-2539Number2019
25-3055Number2019
30-3564Number2019
35-4071Number2019
40-4577Number2019
45-50100Number2019
50-55111Number2019
55-60106Number2019
60-65109Number2019
65-75148Number2019
Women 65-7080Number2019
Men 65-7068Number2019
75+136Number2019
Women 75+75Number2019
Men 75+61Number2019
% 0-109%Percentage2019
% 10-189%Percentage2019
% 18-309%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+31%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 code094725414140Code2019
Region code 8 digits09472140Code09472140
Sorting code094725414140Code094725414140
Sorting code 8 digits09472140Code09472140
Region nameGeseesName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GeseesName2019
Region name in GermanGemeinde GeseesName2019
Direct subregionsno dataNumber2019
NUTS codeDE246Code2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church214Number2011
Protestant church907Number2011
Other or none166Number2011
% Roman Catholic church17%Percentage2011
% Protestant church70%Percentage2011
% Other or none13%Percentage2011
Roman Catholic church German214Number2011
Protestant church German903Number2011
Other or none German157Number2011
% Roman Catholic church German17%Percentage2011
% Protestant church German71%Percentage2011
% Other or none German Foreign12%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign4Number2011
Other or none Foreign9Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign31%Percentage2011
% Other or none Foreign69%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.

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