Information about the municipality Mörel:

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

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Population numbers in the municipality Mörel 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 Mörel
Map of District Rendsburg-Eckernförde with the population per municipality.Municipality Mörel 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 Rendsburg-Eckernförde with the population per municipality.Municipality Mörel is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Brodersby, 2: municipality Karby, 3: municipality Winnemark, 4: municipality Dörphof, 5: municipality Thumby ...Show more... Map of District Rendsburg-Eckernförde with the population per municipality.Municipality Mörel is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Brodersby, 2: municipality Karby, 3: municipality Winnemark, 4: municipality Dörphof, 5: municipality Thumby, 6: municipality Damp, 7: municipality Holzdorf, 8: municipality Rieseby, 9: municipality Waabs, 10: municipality Loose, 11: municipality Kosel, 12: municipality Gammelby, 13: municipality Barkelsby, 14: municipality Fleckeby, 15: municipality Güby, 16: municipality city Eckernförde, 17: municipality Schwedeneck, 18: municipality Windeby, 19: municipality Hummelfeld, 20: municipality Noer, 21: municipality Strande, 22: municipality Osterby, 23: municipality Hütten, 24: municipality Altenhof, 25: municipality Osdorf, 26: municipality Dänischenhagen, 27: municipality Ascheffel, 28: municipality Goosefeld, 29: municipality Neudorf-Bornstein, 30: municipality Brekendorf, 31: municipality Damendorf, 32: municipality Gettorf, 33: municipality Holtsee, 34: municipality Groß Wittensee, 35: municipality Felm, 36: municipality Ahlefeld-Bistensee, 37: municipality Haby, 38: municipality Klein Wittensee, 39: municipality Altenholz, 40: municipality Owschlag, 41: municipality Tüttendorf, 42: municipality Lindau, 43: municipality Holzbunge, 44: municipality Sehestedt, 45: municipality Neuwittenbek, 46: municipality Bünsdorf, 47: municipality Neu Duvenstedt, 48: municipality Schinkel, 49: municipality Alt Duvenstedt, 50: municipality Ottendorf, 51: municipality Borgstedt, 52: municipality Bovenau, 53: municipality Lohe-Föhrden, 54: municipality Rickert, 55: municipality Kronshagen, 56: municipality Krummwisch, 57: municipality Quarnbek, 58: municipality Königshügel, 59: municipality Rade b. Rendsburg, 60: municipality Christiansholm, 61: municipality city Büdelsdorf, 62: municipality Ostenfeld (Rendsburg), 63: municipality Melsdorf, 64: municipality Schacht-Audorf, 65: municipality Bredenbek, 66: municipality Felde, 67: municipality Fockbek, 68: municipality Friedrichsholm, 69: municipality city Rendsburg, 70: municipality Hohn, 71: municipality Achterwehr, 72: municipality Haßmoor, 73: municipality Schülldorf, 74: municipality Mielkendorf, 75: municipality Rodenbek, 76: municipality Friedrichsgraben, 77: municipality Sophienhamm, 78: municipality Osterrönfeld, 79: municipality Westensee, 80: municipality Molfsee, 81: municipality Westerrönfeld, 82: municipality Nübbel, 83: municipality Elsdorf-Westermühlen, 84: municipality Bargstall, 85: municipality Schierensee, 86: municipality Rumohr, 87: municipality Emkendorf, 88: municipality Schülp b. Rendsburg, 89: municipality Flintbek, 90: municipality Groß Vollstedt, 91: municipality Blumenthal, 92: municipality Hamdorf, 93: municipality Jevenstedt, 94: municipality Schönhorst, 95: municipality Bokel, 96: municipality Böhnhusen, 97: municipality Hörsten, 98: municipality Langwedel, 99: municipality Prinzenmoor, 100: municipality Grevenkrug, 101: municipality Warder, 102: municipality Techelsdorf, 103: municipality Sören, 104: municipality Breiholz, 105: municipality Brammer, 106: municipality Ellerdorf, 107: municipality Schmalstede, 108: municipality Bissee, 109: municipality Reesdorf, 110: municipality Eisendorf, 111: municipality Hamweddel, 112: municipality Brügge, 113: municipality Hoffeld, 114: municipality Dätgen, 115: municipality Tackesdorf, 116: municipality Borgdorf-Seedorf, 117: municipality Embühren, 118: municipality Oldenbüttel, 119: municipality Stafstedt, 120: municipality Haale, 121: municipality Luhnstedt, 122: municipality Bordesholm, 123: municipality Brinjahe, 124: municipality city Nortorf, 125: municipality Bargstedt, 126: municipality Schönbek, 127: municipality Groß Buchwald, 128: municipality Wattenbek, 129: municipality Mühbrook, 130: municipality Schülp b. Nortorf, 131: municipality Oldenhütten, 132: municipality Lütjenwestedt, 133: municipality Loop, 134: municipality Nienborstel, 135: municipality Steenfeld, 136: municipality Negenharrie, 137: municipality Todenbüttel, 138: municipality Hanerau-Hademarschen, 139: municipality Nindorf, 140: municipality Gnutz, 141: municipality Heinkenborstel, 142: municipality Krogaspe, 143: municipality Beldorf, 144: municipality Remmels, 145: municipality Timmaspe, 146: municipality Beringstedt, 147: municipality Mörel, 148: municipality Gokels, 149: municipality Osterstedt, 150: municipality Seefeld, 151: municipality Rade b. Hohenwestedt, 152: municipality Tappendorf, 153: municipality Bornholt, 154: municipality Thaden, 155: municipality Hohenwestedt, 156: municipality Bendorf, 157: municipality Wapelfeld, 158: municipality Wasbek, 159: municipality Aukrug, 160: municipality Grauel, 161: municipality Jahrsdorf, 162: municipality Meezen, 163: municipality Ehndorf, 164: municipality Padenstedt, 165: municipality Arpsdorf ...Show less...

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

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Municipality Mörel, 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 Mörel

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Municipality Mörel, 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 Mörel.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality Mörel. 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 rooms13Number2019
Houses 4 rooms20Number2019
Houses 5 rooms32Number2019
Houses 6 rooms16Number2019
Houses 7+ rooms 30Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms33Number2019
Houses 5+ rooms78Number2019
1-2 rooms3%Percentage2019
3-4 rooms29%Percentage2019
5+ rooms68%Percentage2019
ElectionsValueUnitYear
Voters Bundestag188,00Number2017
Voter turnout Bundestag70Number2017
Votes valid Bundestag131Number2017
Votes Bundestag CDU/CSU68Number2017
Votes Bundestag SPD15Number2017
Votes Bundestag GRÜNE20Number2017
Votes Bundestag FDP11Number2017
Votes Bundestag DIE LINKE8Number2017
Votes Bundestag AfD5Number2017
Votes Bundestag other parties4Number2017
Votes Bundestag total131Number2017
% Votes Bundestag CDU/CSU36%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE11%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees98Number2019
Employees male58Number2019
Employees female40Number2019
Employees foreigner8Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed3Number2018
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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers114Number2015
Income total€3.415Euro2015
Income tax€420Euro2015
PopulationValueUnitYear
Population234Number2019
Men128Number2019
Women106Number2019
% Men55%Percentage2019
% Women45%Percentage2019
0-1837Number2019
18-3040Number2019
30-4529Number2019
45-6061Number2019
18-60130Number2019
60-7551Number2019
60+67Number2019
Average age44Average number2019
Average age male45Average number2019
Average age female44Average number2019
Births1Number2018
Births male0Number2018
Births female1Number2018
1K Births4Number per 1000 inhabitants2018
Deaths1Number2018
Deaths male1Number2018
Deaths female0Number2018
1K Deaths4Number2018
0-34Number2019
Girls 0-33Number2019
Boys 0-31Number2019
3-64Number2019
Girls 3-61Number2019
Boys 3-63Number2019
6-107Number2019
10-1515Number2019
15-187Number2019
18-204Number2019
20-2514Number2019
25-3022Number2019
30-357Number2019
35-409Number2019
40-4513Number2019
45-5017Number2019
50-5531Number2019
55-6013Number2019
60-6522Number2019
65-7529Number2019
Women 65-7015Number2019
Men 65-7014Number2019
75+16Number2019
Women 75+7Number2019
Men 75+9Number2019
% 0-106%Percentage2019
% 10-189%Percentage2019
% 18-3017%Percentage2019
% 30-4512%Percentage2019
% 45-6026%Percentage2019
% 60+29%Percentage2019
Real estateValueUnitYear
Property tax A revenue€8.753Euro2018
Property tax B revenue€18.238Euro2018
Trade tax actual revenue€7.041Euro2018
Property tax A basic amount€2.735Euro2018
Property tax B basic amount€5.699Euro2018
Trade tax basic amount€2.271Euro2018
Property tax A rate€320Euro2018
Property tax B rate€320Euro2018
Trade tax rate€310Euro2018
Real tax raising force€45.333Euro2018
Trade tax levy€1.548Euro2018
Trade tax net€5.493Euro2018
Community share in income tax€91.383Euro2018
Community share in sales tax€290Euro2018
Tax revenue€135.458Euro2018
RegionalValueUnitYear
Region code010585895106Code2019
Region code 8 digits01058106Code01058106
Sorting code010585895106Code010585895106
Sorting code 8 digits01058106Code01058106
Region nameMörelName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality MörelName2019
Region name in GermanGemeinde MörelName2019
Direct subregionsno dataNumber2019
NUTS codeDEF0BCode2019
Area9Area in km²2019
ReligionValueUnitYear
Roman Catholic church16Number2011
Protestant church145Number2011
Other or none92Number2011
% Roman Catholic church6%Percentage2011
% Protestant church57%Percentage2011
% Other or none36%Percentage2011
Roman Catholic church German13Number2011
Protestant church German145Number2011
Other or none German88Number2011
% Roman Catholic church German5%Percentage2011
% Protestant church German59%Percentage2011
% Other or none German Foreign36%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign4Number2011
% Roman Catholic church Foreign43%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign57%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.