Information about the municipality city Bad Berneck i. Fichtelgebirge:

View the information on over 100 topics about the municipality city Bad Berneck i. Fichtelgebirge! 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 Berneck i. Fichtelgebirge! 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 Berneck i. Fichtelgebirge

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Population numbers in the municipality city Bad Berneck i. Fichtelgebirge 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 Berneck i. Fichtelgebirge
Map of Rural district Bayreuth with the population per municipality.Municipality Bad Berneck i. Fichtelgebirge 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 Bad Berneck i. Fichtelgebirge 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 Bad Berneck i. Fichtelgebirge 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 city Bad Berneck i. Fichtelgebirge

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Municipality city Bad Berneck i. Fichtelgebirge, 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 Berneck i. Fichtelgebirge

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Municipality city Bad Berneck i. Fichtelgebirge, 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 Berneck i. Fichtelgebirge.

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 Berneck i. Fichtelgebirge. Select a category to display the related topics:

BusinessValueUnitYear
Businesses5Number2017
Active persons342Number2017
Gross wages€15.735Euro2017
DwellingsValueUnitYear
Houses 1 room39Number2019
Houses 2 rooms193Number2019
Houses 3 rooms461Number2019
Houses 4 rooms574Number2019
Houses 5 rooms378Number2019
Houses 6 rooms274Number2019
Houses 7+ rooms 386Number2019
Houses 1-2 rooms232Number2019
Houses 3-4 rooms1.035Number2019
Houses 5+ rooms1.038Number2019
1-2 rooms10%Percentage2019
3-4 rooms45%Percentage2019
5+ rooms45%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3358,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag2.462Number2017
Votes Bundestag CDU/CSU986Number2017
Votes Bundestag SPD546Number2017
Votes Bundestag GRÜNE132Number2017
Votes Bundestag FDP190Number2017
Votes Bundestag DIE LINKE120Number2017
Votes Bundestag AfD316Number2017
Votes Bundestag other parties172Number2017
Votes Bundestag total2.462Number2017
% Votes Bundestag CDU/CSU29%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees1.752Number2019
Employees male904Number2019
Employees female848Number2019
Employees foreigner138Number2019
Employees male foreigner86Number2019
Employees female foreigner52Number2019
Unemployed93Number2018
Unemployed foreigners24Number2018
Unemployed severely disabled9Number2018
Unemployed 15-202Number2018
Unemployed 15-2510Number2018
Unemployed 55-6520Number2018
Unemployed long-term19Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners1%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 receivers2.129Number2015
Income total€63.806Euro2015
Income tax€8.843Euro2015
PopulationValueUnitYear
Population4.371Number2019
Men2.183Number2019
Women2.188Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18689Number2019
18-30520Number2019
30-45756Number2019
45-601.053Number2019
18-602.329Number2019
60-75789Number2019
60+1.353Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female48Average number2019
Births35Number2018
Births male15Number2018
Births female20Number2018
1K Births8Number per 1000 inhabitants2018
Deaths58Number2018
Deaths male25Number2018
Deaths female33Number2018
1K Deaths13Number2018
0-396Number2019
Girls 0-342Number2019
Boys 0-354Number2019
3-6105Number2019
Girls 3-650Number2019
Boys 3-655Number2019
6-10144Number2019
10-15198Number2019
15-18146Number2019
18-2075Number2019
20-25225Number2019
25-30220Number2019
30-35239Number2019
35-40253Number2019
40-45264Number2019
45-50325Number2019
50-55359Number2019
55-60369Number2019
60-65282Number2019
65-75507Number2019
Women 65-70261Number2019
Men 65-70246Number2019
75+564Number2019
Women 75+338Number2019
Men 75+226Number2019
% 0-108%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4517%Percentage2019
% 45-6024%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 code094720116116Code2019
Region code 8 digits09472116Code09472116
Sorting code094720116116Code094720116116
Sorting code 8 digits09472116Code09472116
Region nameBad Berneck i. FichtelgebirgeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city Bad Berneck i. FichtelgebirgeName2019
Region name in GermanGemeinde Stadt Bad Berneck i. FichtelgebirgeName2019
Direct subregionsno dataNumber2019
NUTS codeDE246Code2019
Area34Area in km²2019
ReligionValueUnitYear
Roman Catholic church715Number2011
Protestant church2.751Number2011
Other or none814Number2011
% Roman Catholic church17%Percentage2011
% Protestant church64%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German669Number2011
Protestant church German2.736Number2011
Other or none German676Number2011
% Roman Catholic church German16%Percentage2011
% Protestant church German67%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign46Number2011
Protestant church Foreign15Number2011
Other or none Foreign138Number2011
% Roman Catholic church Foreign23%Percentage2011
% Protestant church Foreign8%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.