Information about the municipality Nahe:

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

One moment please, your device is loading the charts...

Population numbers in the municipality Nahe 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 Nahe
Map of District Segeberg with the population per municipality.Municipality Nahe 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 District Segeberg with the population per municipality.Municipality Nahe is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stocksee, 2: municipality Schmalensee, 3: municipality Damsdorf, 4: municipality Bornhöved, 5: municipality Glasau ...Show more... Map of District Segeberg with the population per municipality.Municipality Nahe is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stocksee, 2: municipality Schmalensee, 3: municipality Damsdorf, 4: municipality Bornhöved, 5: municipality Glasau, 6: municipality Gönnebek, 7: municipality Seedorf, 8: municipality Tarbek, 9: municipality Tensfeld, 10: municipality Trappenkamp, 11: municipality Groß Kummerfeld, 12: municipality Nehms, 13: municipality Travenhorst, 14: municipality Daldorf, 15: municipality Blunk, 16: municipality Boostedt, 17: municipality Rickling, 18: municipality Latendorf, 19: municipality Hardebek, 20: municipality Wensin, 21: municipality Hasenkrug, 22: municipality Krems II, 23: municipality Negernbötel, 24: municipality Groß Rönnau, 25: municipality Großenaspe, 26: municipality Borstel, 27: municipality Armstedt, 28: municipality Rohlstorf, 29: municipality Heidmühlen, 30: municipality Wiemersdorf, 31: municipality Klein Rönnau, 32: municipality Schackendorf, 33: municipality city Wahlstedt, 34: municipality Pronstorf, 35: municipality Stipsdorf, 36: municipality Hagen, 37: municipality Fahrenkrug, 38: municipality Fuhlendorf, 39: municipality city Bad Segeberg, 40: municipality Schieren, 41: municipality Westerrade, 42: unincorporated area Buchholz (Forstgutsbez.), 43: municipality Bimöhlen, 44: municipality Wittenborn, 45: municipality Föhrden-Barl, 46: municipality Hitzhusen, 47: municipality Högersdorf, 48: municipality Geschendorf, 49: municipality Weede, 50: municipality Bark, 51: municipality Klein Gladebrügge, 52: municipality Strukdorf, 53: municipality city Bad Bramstedt, 54: municipality Hasenmoor, 55: municipality Mözen, 56: municipality Weddelbrook, 57: municipality Schwissel, 58: municipality Neuengörs, 59: municipality Traventhal, 60: municipality Kükels, 61: municipality Hartenholm, 62: municipality Todesfelde, 63: municipality Bühnsdorf, 64: municipality Mönkloh, 65: municipality Dreggers, 66: municipality Schmalfeld, 67: municipality Bebensee, 68: municipality Bahrenhof, 69: municipality Lentföhrden, 70: municipality Fredesdorf, 71: municipality Leezen, 72: municipality Wakendorf I, 73: municipality Struvenhütten, 74: municipality Neversdorf, 75: municipality Stuvenborn, 76: municipality Seth, 77: municipality Nützen, 78: municipality Heidmoor, 79: municipality Kattendorf, 80: municipality Oersdorf, 81: municipality Groß Niendorf, 82: municipality Sievershütten, 83: municipality Hüttblek, 84: municipality Winsen, 85: municipality city Kaltenkirchen, 86: municipality Oering, 87: municipality Sülfeld, 88: municipality Kisdorf, 89: municipality Itzstedt, 90: municipality Nahe, 91: municipality Alveslohe, 92: municipality Henstedt-Ulzburg, 93: municipality Wakendorf II, 94: municipality Ellerau, 95: municipality Kayhude, 96: municipality city Norderstedt ...Show less...

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

One moment please, your device is loading the charts...

Municipality Nahe, 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 Nahe

One moment please, your device is loading the charts...

Municipality Nahe, 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 Nahe.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room14Number2019
Houses 2 rooms66Number2019
Houses 3 rooms149Number2019
Houses 4 rooms212Number2019
Houses 5 rooms266Number2019
Houses 6 rooms184Number2019
Houses 7+ rooms 204Number2019
Houses 1-2 rooms80Number2019
Houses 3-4 rooms361Number2019
Houses 5+ rooms654Number2019
1-2 rooms7%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms60%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1958,00Number2017
Voter turnout Bundestag64Number2017
Votes valid Bundestag1.252Number2017
Votes Bundestag CDU/CSU443Number2017
Votes Bundestag SPD255Number2017
Votes Bundestag GRÜNE125Number2017
Votes Bundestag FDP154Number2017
Votes Bundestag DIE LINKE75Number2017
Votes Bundestag AfD166Number2017
Votes Bundestag other parties34Number2017
Votes Bundestag total1.252Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees927Number2019
Employees male487Number2019
Employees female440Number2019
Employees foreigner26Number2019
Employees male foreigner15Number2019
Employees female foreigner11Number2019
Unemployed43Number2018
Unemployed foreigners8Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-254Number2018
Unemployed 55-658Number2018
Unemployed long-term12Number2018
% 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 55-650%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.210Number2015
Income total€49.875Euro2015
Income tax€8.275Euro2015
PopulationValueUnitYear
Population2.396Number2019
Men1.179Number2019
Women1.217Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18372Number2019
18-30265Number2019
30-45398Number2019
45-60665Number2019
18-601.328Number2019
60-75437Number2019
60+696Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female46Average number2019
Births24Number2018
Births male13Number2018
Births female11Number2018
1K Births10Number per 1000 inhabitants2018
Deaths27Number2018
Deaths male14Number2018
Deaths female13Number2018
1K Deaths11Number2018
0-364Number2019
Girls 0-335Number2019
Boys 0-329Number2019
3-657Number2019
Girls 3-628Number2019
Boys 3-629Number2019
6-1086Number2019
10-1593Number2019
15-1872Number2019
18-2045Number2019
20-25119Number2019
25-30101Number2019
30-35125Number2019
35-40159Number2019
40-45114Number2019
45-50191Number2019
50-55259Number2019
55-60215Number2019
60-65176Number2019
65-75261Number2019
Women 65-70144Number2019
Men 65-70117Number2019
75+259Number2019
Women 75+143Number2019
Men 75+116Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3011%Percentage2019
% 30-4517%Percentage2019
% 45-6028%Percentage2019
% 60+29%Percentage2019
Real estateValueUnitYear
Property tax A revenue€18.678Euro2018
Property tax B revenue€333.203Euro2018
Trade tax actual revenue€712.349Euro2018
Property tax A basic amount€5.337Euro2018
Property tax B basic amount€95.201Euro2018
Trade tax basic amount€178.087Euro2018
Property tax A rate€350Euro2018
Property tax B rate€350Euro2018
Trade tax rate€400Euro2018
Real tax raising force€1.183.782Euro2018
Trade tax levy€112.717Euro2018
Trade tax net€599.632Euro2018
Community share in income tax€1.335.915Euro2018
Community share in sales tax€89.047Euro2018
Tax revenue€2.496.027Euro2018
RegionalValueUnitYear
Region code010605034058Code2019
Region code 8 digits01060058Code01060058
Sorting code010605034058Code010605034058
Sorting code 8 digits01060058Code01060058
Region nameNaheName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality NaheName2019
Region name in GermanGemeinde NaheName2019
Direct subregionsno dataNumber2019
NUTS codeDEF0DCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church100Number2011
Protestant church1.078Number2011
Other or none1.180Number2011
% Roman Catholic church4%Percentage2011
% Protestant church46%Percentage2011
% Other or none50%Percentage2011
Roman Catholic church German84Number2011
Protestant church German1.072Number2011
Other or none German1.130Number2011
% Roman Catholic church German4%Percentage2011
% Protestant church German47%Percentage2011
% Other or none German Foreign49%Percentage2011
Roman Catholic church Foreign16Number2011
Protestant church Foreign6Number2011
Other or none Foreign50Number2011
% Roman Catholic church Foreign22%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.