Information about the municipality Panten:

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

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Population numbers in the municipality Panten 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 Panten
Map of District Herzogtum Lauenburg with the population per municipality.Municipality Panten 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 Herzogtum Lauenburg with the population per municipality.Municipality Panten is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Groß Grönau, 2: municipality Groß Schenkenberg, 3: municipality Krummesse, 4: municipality Groß Sarau, 5: municipality Grinau ...Show more... Map of District Herzogtum Lauenburg with the population per municipality.Municipality Panten is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Groß Grönau, 2: municipality Groß Schenkenberg, 3: municipality Krummesse, 4: municipality Groß Sarau, 5: municipality Grinau, 6: municipality Bliestorf, 7: municipality Klempau, 8: municipality Schürensöhlen, 9: municipality Rondeshagen, 10: municipality Groß Boden, 11: municipality Siebenbäumen, 12: municipality Kastorf, 13: municipality Pogeez, 14: municipality Groß Disnack, 15: municipality Berkenthin, 16: municipality Stubben, 17: municipality Düchelsdorf, 18: municipality Sierksrade, 19: municipality Buchholz, 20: municipality Römnitz, 21: municipality Steinhorst, 22: municipality Bäk, 23: municipality Göldenitz, 24: municipality Einhaus, 25: municipality Klinkrade, 26: municipality Mechow, 27: municipality city Ratzeburg, 28: municipality Labenz, 29: municipality Kulpin, 30: municipality Harmsdorf, 31: municipality Schiphorst, 32: municipality Niendorf bei Berkenthin, 33: municipality Behlendorf, 34: municipality Duvensee, 35: municipality Ziethen, 36: municipality Sandesneben, 37: municipality Lüchow, 38: municipality Giesensdorf, 39: municipality Mustin, 40: municipality Kühsen, 41: municipality Albsfelde, 42: municipality Schönberg, 43: municipality Wentorf (Amt Sandesneben), 44: municipality Ritzerau, 45: municipality Kittlitz, 46: municipality Lankau, 47: municipality Sirksfelde, 48: municipality Schmilau, 49: municipality Nusse, 50: municipality Fredeburg, 51: municipality Salem, 52: municipality Panten, 53: municipality Linau, 54: municipality Poggensee, 55: municipality Koberg, 56: municipality Walksfelde, 57: municipality Sterley, 58: municipality Horst, 59: municipality Alt Mölln, 60: municipality Bälau, 61: municipality city Mölln, 62: municipality Brunsmark, 63: municipality Köthel, 64: municipality Borstorf, 65: municipality Seedorf, 66: municipality Breitenfelde, 67: municipality Hamfelde, 68: municipality Mühlenrade, 69: municipality Schretstaken, 70: municipality Hollenbek, 71: municipality Niendorf/Stecknitz, 72: municipality Lehmrade, 73: municipality Dahmker, 74: municipality Kuddewörde, 75: municipality Klein Zecher, 76: municipality Basthorst, 77: municipality Woltersdorf, 78: municipality Fuhlenhagen, 79: municipality Talkau, 80: municipality Grambek, 81: municipality Tramm, 82: municipality Kasseburg, 83: municipality Möhnsen, 84: municipality Hornbek, 85: municipality Gudow, 86: municipality Kankelau, 87: municipality Elmenhorst, 88: municipality Havekost, 89: municipality Besenthal, 90: municipality Roseburg, 91: municipality Göttin, 92: municipality Güster, 93: unincorporated area Sachsenwald (Forstgutsbez.), 94: municipality Grove, 95: municipality Aumühle, 96: municipality Groß Pampau, 97: municipality Sahms, 98: municipality Wohltorf, 99: municipality Klein Pampau, 100: municipality Siebeneichen, 101: municipality Grabau, 102: municipality Fitzen, 103: municipality city Schwarzenbek, 104: municipality Langenlehsten, 105: municipality Müssen, 106: municipality Wentorf bei Hamburg, 107: municipality Dassendorf, 108: municipality Brunstorf, 109: municipality Büchen, 110: municipality Kröppelshagen-Fahrendorf, 111: municipality Börnsen, 112: municipality Schulendorf, 113: municipality Bröthen, 114: municipality Hohenhorn, 115: municipality Worth, 116: municipality Kollow, 117: municipality Escheburg, 118: municipality Witzeeze, 119: municipality Gülzow, 120: municipality Wangelau, 121: municipality Hamwarde, 122: municipality Wiershop, 123: municipality Dalldorf, 124: municipality Lütau, 125: municipality city Geesthacht, 126: municipality Juliusburg, 127: municipality Basedow, 128: municipality Krukow, 129: municipality Krüzen, 130: municipality Lanze, 131: municipality Buchhorst, 132: municipality Schnakenbek, 133: municipality city Lauenburg/Elbe ...Show less...

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

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Municipality Panten, 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 Panten

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Municipality Panten, 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 Panten.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms19Number2019
Houses 3 rooms90Number2019
Houses 4 rooms75Number2019
Houses 5 rooms58Number2019
Houses 6 rooms42Number2019
Houses 7+ rooms 63Number2019
Houses 1-2 rooms19Number2019
Houses 3-4 rooms165Number2019
Houses 5+ rooms163Number2019
1-2 rooms5%Percentage2019
3-4 rooms48%Percentage2019
5+ rooms47%Percentage2019
ElectionsValueUnitYear
Voters Bundestag551,00Number2017
Voter turnout Bundestag64Number2017
Votes valid Bundestag346Number2017
Votes Bundestag CDU/CSU103Number2017
Votes Bundestag SPD89Number2017
Votes Bundestag GRÜNE33Number2017
Votes Bundestag FDP46Number2017
Votes Bundestag DIE LINKE22Number2017
Votes Bundestag AfD45Number2017
Votes Bundestag other parties8Number2017
Votes Bundestag total346Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees277Number2019
Employees male143Number2019
Employees female134Number2019
Employees foreigner10Number2019
Employees male foreigner6Number2019
Employees female foreigner4Number2019
Unemployed15Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-653Number2018
Unemployed long-term3Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers328Number2015
Income total€12.114Euro2015
Income tax€1.856Euro2015
PopulationValueUnitYear
Population662Number2019
Men322Number2019
Women340Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1893Number2019
18-3067Number2019
30-45115Number2019
45-60184Number2019
18-60366Number2019
60-75133Number2019
60+203Number2019
Average age47Average number2019
Average age male48Average number2019
Average age female46Average number2019
Births6Number2018
Births male3Number2018
Births female3Number2018
1K Births9Number per 1000 inhabitants2018
Deaths9Number2018
Deaths male4Number2018
Deaths female5Number2018
1K Deaths14Number2018
0-314Number2019
Girls 0-39Number2019
Boys 0-35Number2019
3-621Number2019
Girls 3-69Number2019
Boys 3-612Number2019
6-1023Number2019
10-1522Number2019
15-1813Number2019
18-2011Number2019
20-2521Number2019
25-3035Number2019
30-3534Number2019
35-4045Number2019
40-4536Number2019
45-5045Number2019
50-5565Number2019
55-6074Number2019
60-6568Number2019
65-7565Number2019
Women 65-7032Number2019
Men 65-7033Number2019
75+70Number2019
Women 75+36Number2019
Men 75+34Number2019
% 0-109%Percentage2019
% 10-185%Percentage2019
% 18-3010%Percentage2019
% 30-4517%Percentage2019
% 45-6028%Percentage2019
% 60+31%Percentage2019
Real estateValueUnitYear
Property tax A revenue€16.693Euro2018
Property tax B revenue€49.909Euro2018
Trade tax actual revenue€70.086Euro2018
Property tax A basic amount€6.420Euro2018
Property tax B basic amount€19.196Euro2018
Trade tax basic amount€22.608Euro2018
Property tax A rate€260Euro2018
Property tax B rate€260Euro2018
Trade tax rate€310Euro2018
Real tax raising force€203.351Euro2018
Trade tax levy€15.438Euro2018
Trade tax net€54.648Euro2018
Community share in income tax€326.909Euro2018
Community share in sales tax€7.346Euro2018
Tax revenue€522.168Euro2018
RegionalValueUnitYear
Region code010535391097Code2019
Region code 8 digits01053097Code01053097
Sorting code010535391097Code010535391097
Sorting code 8 digits01053097Code01053097
Region namePantenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality PantenName2019
Region name in GermanGemeinde PantenName2019
Direct subregionsno dataNumber2019
NUTS codeDEF06Code2019
Area14Area in km²2019
ReligionValueUnitYear
Roman Catholic church18Number2011
Protestant church354Number2011
Other or none266Number2011
% Roman Catholic church3%Percentage2011
% Protestant church55%Percentage2011
% Other or none42%Percentage2011
Roman Catholic church German18Number2011
Protestant church German351Number2011
Other or none German263Number2011
% Roman Catholic church German3%Percentage2011
% Protestant church German56%Percentage2011
% Other or none German Foreign42%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign3Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign50%Percentage2011
% Other or none Foreign50%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.