Information about the municipality Charlottenberg:

View the information on over 100 topics about the municipality Charlottenberg! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Charlottenberg! 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 Charlottenberg

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Population numbers in the municipality Charlottenberg 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 Charlottenberg
Map of Rural district Rhein-Lahn-Kreis with the population per municipality.Municipality Charlottenberg 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 Rhein-Lahn-Kreis with the population per municipality.Municipality Charlottenberg is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Eppenrod, 2: municipality Hambach, 3: municipality Gückingen, 4: municipality Aull, 5: municipality Isselbach ...Show more... Map of Rural district Rhein-Lahn-Kreis with the population per municipality.Municipality Charlottenberg is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Eppenrod, 2: municipality Hambach, 3: municipality Gückingen, 4: municipality Aull, 5: municipality Isselbach, 6: municipality Heistenbach, 7: municipality Hirschberg, 8: municipality Arzbach, 9: municipality Altendiez, 10: municipality city Diez, 11: municipality Langenscheid, 12: municipality Horhausen, 13: municipality Birlenbach, 14: municipality Kemmenau, 15: municipality Zimmerschied, 16: municipality Geilnau, 17: municipality Holzappel, 18: municipality Holzheim, 19: municipality Winden, 20: municipality city Bad Ems, 21: municipality Balduinstein, 22: municipality Charlottenberg, 23: municipality Cramberg, 24: municipality Flacht, 25: municipality Hömberg, 26: municipality Fachbach, 27: municipality Scheidt, 28: municipality Laurenburg, 29: municipality Niederneisen, 30: municipality Dausenau, 31: municipality Weinähr, 32: municipality Dörnberg, 33: municipality Nievern, 34: municipality Steinsberg, 35: municipality Gutenacker, 36: municipality Oberneisen, 37: municipality Miellen, 38: municipality Obernhof, 39: municipality Wasenbach, 40: municipality Netzbach, 41: municipality city Nassau, 42: municipality Frücht, 43: municipality Lohrheim, 44: municipality Schönborn, 45: municipality Seelbach, 46: municipality Bremberg, 47: municipality Misselberg, 48: municipality Biebrich, 49: municipality city Lahnstein, 50: municipality Dienethal, 51: municipality Hahnstätten, 52: municipality Sulzbach, 53: municipality Attenhausen, 54: municipality Kaltenholzhausen, 55: municipality Kördorf, 56: municipality Becheln, 57: municipality Ebertshausen, 58: municipality Schweighausen, 59: municipality Oberwies, 60: municipality Herold, 61: municipality Mudershausen, 62: municipality Singhofen, 63: municipality Schiesheim, 64: municipality Klingelbach, 65: municipality Burgschwalbach, 66: municipality Dornholzhausen, 67: municipality city Katzenelnbogen, 68: municipality Allendorf, 69: municipality Roth, 70: municipality Ergeshausen, 71: municipality city Braubach, 72: municipality Lollschied, 73: municipality Dessighofen, 74: municipality Kehlbach, 75: municipality Niedertiefenbach, 76: municipality Berghausen, 77: municipality Dachsenhausen, 78: municipality Berg, 79: municipality Geisig, 80: municipality Pohl, 81: municipality Mittelfischbach, 82: municipality Hunzel, 83: municipality Oberfischbach, 84: municipality Oberbachheim, 85: municipality Niederbachheim, 86: municipality Dörsdorf, 87: municipality Obertiefenbach, 88: municipality Marienfels, 89: municipality Filsen, 90: municipality Ehr, 91: municipality Winterwerb, 92: municipality Osterspai, 93: municipality Eisighofen, 94: municipality Berndroth, 95: municipality Bettendorf, 96: municipality Rettert, 97: municipality Miehlen, 98: municipality Reckenroth, 99: municipality Kamp-Bornhofen, 100: municipality Hainau, 101: municipality Gemmerich, 102: municipality Holzhausen an der Haide, 103: municipality Dahlheim, 104: municipality Eschbach, 105: municipality Lykershausen, 106: municipality Himmighofen, 107: municipality Buch, 108: municipality Endlichhofen, 109: municipality Ruppertshofen, 110: municipality Kasdorf, 111: municipality Weyer, 112: municipality city Nastätten, 113: municipality Kestert, 114: municipality Oelsberg, 115: municipality Prath, 116: municipality Bogel, 117: municipality Nochern, 118: municipality Lierschied, 119: municipality Auel, 120: municipality Diethardt, 121: municipality Lautert, 122: municipality Niederwallmenach, 123: municipality city Sankt Goarshausen, 124: municipality Oberwallmenach, 125: municipality Reitzenhain, 126: municipality Patersberg, 127: municipality Weidenbach, 128: municipality Reichenberg, 129: municipality Rettershain, 130: municipality Strüth, 131: municipality Lipporn, 132: municipality Bornich, 133: municipality Welterod, 134: municipality Weisel, 135: municipality Dörscheid, 136: municipality city Kaub, 137: municipality Sauerthal ...Show less...

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

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Municipality Charlottenberg, 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 Charlottenberg

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Municipality Charlottenberg, 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 Charlottenberg.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms4Number2019
Houses 3 rooms15Number2019
Houses 4 rooms33Number2019
Houses 5 rooms24Number2019
Houses 6 rooms32Number2019
Houses 7+ rooms 20Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms48Number2019
Houses 5+ rooms76Number2019
1-2 rooms3%Percentage2019
3-4 rooms38%Percentage2019
5+ rooms59%Percentage2019
ElectionsValueUnitYear
Voters Bundestag128,00Number2017
Voter turnout Bundestag69Number2017
Votes valid Bundestag65Number2017
Votes Bundestag CDU/CSU19Number2017
Votes Bundestag SPD23Number2017
Votes Bundestag GRÜNE11Number2017
Votes Bundestag FDP6Number2017
Votes Bundestag DIE LINKE1Number2017
Votes Bundestag AfD4Number2017
Votes Bundestag other parties1Number2017
Votes Bundestag total65Number2017
% Votes Bundestag CDU/CSU15%Percentage2017
% Votes Bundestag SPD18%Percentage2017
% Votes Bundestag GRÜNE9%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE1%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees46Number2019
Employees male0Number2019
Employees female0Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed2Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term0Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers76Number2015
Income total€2.278Euro2015
Income tax€261Euro2015
PopulationValueUnitYear
Population150Number2019
Men63Number2019
Women87Number2019
% Men42%Percentage2019
% Women58%Percentage2019
0-1820Number2019
18-309Number2019
30-4522Number2019
45-6041Number2019
18-6072Number2019
60-7535Number2019
60+58Number2019
Average age52Average number2019
Average age male48Average number2019
Average age female54Average number2019
Births1Number2018
Births male1Number2018
Births female0Number2018
1K Births7Number per 1000 inhabitants2018
Deaths1Number2018
Deaths male1Number2018
Deaths female0Number2018
1K Deaths7Number2018
0-31Number2019
Girls 0-30Number2019
Boys 0-31Number2019
3-66Number2019
Girls 3-63Number2019
Boys 3-63Number2019
6-102Number2019
10-157Number2019
15-184Number2019
18-200Number2019
20-252Number2019
25-307Number2019
30-358Number2019
35-407Number2019
40-457Number2019
45-506Number2019
50-5515Number2019
55-6020Number2019
60-6515Number2019
65-7520Number2019
Women 65-7017Number2019
Men 65-703Number2019
75+23Number2019
Women 75+16Number2019
Men 75+7Number2019
% 0-106%Percentage2019
% 10-187%Percentage2019
% 18-306%Percentage2019
% 30-4515%Percentage2019
% 45-6027%Percentage2019
% 60+39%Percentage2019
Real estateValueUnitYear
Property tax A revenue€695Euro2018
Property tax B revenue€12.001Euro2018
Trade tax actual revenue€19.040Euro2018
Property tax A basic amount€232Euro2018
Property tax B basic amount€3.288Euro2018
Trade tax basic amount€5.011Euro2018
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€380Euro2018
Real tax raising force€36.461Euro2018
Trade tax levy€3.422Euro2018
Trade tax net€15.618Euro2018
Community share in income tax€55.415Euro2018
Community share in sales tax€1.539Euro2018
Tax revenue€89.993Euro2018
RegionalValueUnitYear
Region code071415003021Code2019
Region code 8 digits07141021Code07141021
Sorting code071415003021Code071415003021
Sorting code 8 digits07141021Code07141021
Region nameCharlottenbergName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality CharlottenbergName2019
Region name in GermanGemeinde CharlottenbergName2019
Direct subregionsno dataNumber2019
NUTS codeDEB1ACode2019
Area1Area in km²2019
ReligionValueUnitYear
Roman Catholic church39Number2011
Protestant church91Number2011
Other or none39Number2011
% Roman Catholic church23%Percentage2011
% Protestant church54%Percentage2011
% Other or none23%Percentage2011
Roman Catholic church German39Number2011
Protestant church German91Number2011
Other or none German39Number2011
% Roman Catholic church German23%Percentage2011
% Protestant church German54%Percentage2011
% Other or none German Foreign23%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreignno dataPercentageno data
% Protestant church Foreignno dataPercentageno data
% Other or none Foreignno dataPercentageno data
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.