Information about the municipality city Nassau:

View the information on over 100 topics about the municipality city Nassau! 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 Nassau! 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 Nassau

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Population numbers in the municipality city Nassau 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 Nassau
Map of Rural district Rhein-Lahn-Kreis with the population per municipality.Municipality Nassau 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 Nassau 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 Nassau 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 city Nassau

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Municipality city Nassau, 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 Nassau

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Municipality city Nassau, 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 Nassau.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses7Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room23Number2019
Houses 2 rooms123Number2019
Houses 3 rooms499Number2019
Houses 4 rooms576Number2019
Houses 5 rooms358Number2019
Houses 6 rooms229Number2019
Houses 7+ rooms 366Number2019
Houses 1-2 rooms146Number2019
Houses 3-4 rooms1.075Number2019
Houses 5+ rooms953Number2019
1-2 rooms7%Percentage2019
3-4 rooms49%Percentage2019
5+ rooms44%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3559,00Number2017
Voter turnout Bundestag50Number2017
Votes valid Bundestag1.284Number2017
Votes Bundestag CDU/CSU445Number2017
Votes Bundestag SPD343Number2017
Votes Bundestag GRÜNE69Number2017
Votes Bundestag FDP130Number2017
Votes Bundestag DIE LINKE85Number2017
Votes Bundestag AfD152Number2017
Votes Bundestag other parties60Number2017
Votes Bundestag total1.284Number2017
% Votes Bundestag CDU/CSU13%Percentage2017
% Votes Bundestag SPD10%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD4%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees1.774Number2019
Employees male960Number2019
Employees female814Number2019
Employees foreigner159Number2019
Employees male foreigner98Number2019
Employees female foreigner61Number2019
Unemployed66Number2018
Unemployed foreigners18Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-254Number2018
Unemployed 55-6514Number2018
Unemployed long-term10Number2018
% 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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers2.216Number2015
Income total€74.483Euro2015
Income tax€14.178Euro2015
PopulationValueUnitYear
Population4.513Number2019
Men2.253Number2019
Women2.260Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18636Number2019
18-30565Number2019
30-45749Number2019
45-601.068Number2019
18-602.382Number2019
60-75910Number2019
60+1.495Number2019
Average age47Average number2019
Average age male46Average number2019
Average age female49Average number2019
Births36Number2018
Births male15Number2018
Births female21Number2018
1K Births8Number per 1000 inhabitants2018
Deaths81Number2018
Deaths male38Number2018
Deaths female43Number2018
1K Deaths18Number2018
0-393Number2019
Girls 0-353Number2019
Boys 0-340Number2019
3-6103Number2019
Girls 3-655Number2019
Boys 3-648Number2019
6-10127Number2019
10-15180Number2019
15-18133Number2019
18-2094Number2019
20-25223Number2019
25-30248Number2019
30-35249Number2019
35-40257Number2019
40-45243Number2019
45-50271Number2019
50-55374Number2019
55-60423Number2019
60-65333Number2019
65-75577Number2019
Women 65-70294Number2019
Men 65-70283Number2019
75+585Number2019
Women 75+346Number2019
Men 75+239Number2019
% 0-107%Percentage2019
% 10-187%Percentage2019
% 18-3013%Percentage2019
% 30-4517%Percentage2019
% 45-6024%Percentage2019
% 60+33%Percentage2019
Real estateValueUnitYear
Property tax A revenue€4.797Euro2018
Property tax B revenue€521.334Euro2018
Trade tax actual revenue€2.242.973Euro2018
Property tax A basic amount€1.463Euro2018
Property tax B basic amount€132.655Euro2018
Trade tax basic amount€563.561Euro2018
Property tax A rate€328Euro2018
Property tax B rate€393Euro2018
Trade tax rate€398Euro2018
Real tax raising force€2.897.373Euro2018
Trade tax levy€384.912Euro2018
Trade tax net€1.858.061Euro2018
Community share in income tax€1.521.519Euro2018
Community share in sales tax€596.532Euro2018
Tax revenue€4.630.512Euro2018
RegionalValueUnitYear
Region code071415006091Code2019
Region code 8 digits07141091Code07141091
Sorting code071415006091Code071415006091
Sorting code 8 digits07141091Code07141091
Region nameNassauName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city NassauName2019
Region name in GermanGemeinde Stadt NassauName2019
Direct subregionsno dataNumber2019
NUTS codeDEB1ACode2019
Area18Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.234Number2011
Protestant church2.180Number2011
Other or none1.220Number2011
% Roman Catholic church27%Percentage2011
% Protestant church47%Percentage2011
% Other or none26%Percentage2011
Roman Catholic church German1.191Number2011
Protestant church German2.161Number2011
Other or none German930Number2011
% Roman Catholic church German28%Percentage2011
% Protestant church German50%Percentage2011
% Other or none German Foreign22%Percentage2011
Roman Catholic church Foreign43Number2011
Protestant church Foreign19Number2011
Other or none Foreign290Number2011
% Roman Catholic church Foreign12%Percentage2011
% Protestant church Foreign5%Percentage2011
% Other or none Foreign82%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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