Information about the municipality Bibow:

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

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Population numbers in the municipality Bibow for the years 2012 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 Bibow
Map of Rural district Nordwestmecklenburg with the population per municipality.Municipality Bibow 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 Nordwestmecklenburg with the population per municipality.Municipality Bibow is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Boiensdorf, 2: municipality Insel Poel, 3: municipality Boltenhagen, 4: municipality Kalkhorst, 5: municipality Blowatz ...Show more... Map of Rural district Nordwestmecklenburg with the population per municipality.Municipality Bibow is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Boiensdorf, 2: municipality Insel Poel, 3: municipality Boltenhagen, 4: municipality Kalkhorst, 5: municipality Blowatz, 6: municipality city Klütz, 7: municipality Neuburg, 8: municipality Passee, 9: municipality Krusenhagen, 10: municipality Züsow, 11: municipality city Dassow, 12: municipality Zierow, 13: municipality Damshagen, 14: municipality Roggenstorf, 15: municipality Hohenkirchen, 16: municipality Benz, 17: municipality Warnow, 18: municipality Hornstorf, 19: municipality Glasin, 20: municipality city Wismar, 21: municipality Selmsdorf, 22: municipality Gägelow, 23: municipality city Neukloster, 24: municipality Stepenitztal, 25: municipality Barnekow, 26: municipality city Grevesmühlen, 27: municipality Lübberstorf, 28: municipality city Schönberg, 29: municipality Zurow, 30: municipality Metelsdorf, 31: municipality Menzendorf, 32: municipality Lübow, 33: municipality Grieben, 34: municipality Plüschow, 35: municipality Lockwisch, 36: municipality Dorf Mecklenburg, 37: municipality Lüdersdorf, 38: municipality Bernstorf, 39: municipality Roduchelstorf, 40: municipality Upahl, 41: municipality Jesendorf, 42: municipality Groß Stieten, 43: municipality Groß Siemz, 44: municipality Bobitz, 45: municipality city Warin, 46: municipality Niendorf, 47: municipality Rüting, 48: municipality Hohen Viecheln, 49: municipality city Rehna, 50: municipality Ventschow, 51: municipality Bibow, 52: municipality Testorf-Steinfort, 53: municipality Bad Kleinen, 54: municipality Rieps, 55: municipality Thandorf, 56: municipality Wedendorfersee, 57: municipality Utecht, 58: municipality Königsfeld, 59: municipality Zickhusen, 60: municipality Carlow, 61: municipality Veelböken, 62: municipality Mühlen Eichsen, 63: municipality Alt Meteln, 64: municipality Dalberg-Wendelstorf, 65: municipality Schlagsdorf, 66: municipality Groß Molzahn, 67: municipality Lübstorf, 68: municipality Holdorf, 69: municipality Dechow, 70: municipality Dragun, 71: municipality city Gadebusch, 72: municipality Klein Trebbow, 73: municipality Cramonshagen, 74: municipality Seehof, 75: municipality Roggendorf, 76: municipality Pingelshagen, 77: municipality Brüsewitz, 78: municipality Kneese, 79: municipality Lützow, 80: municipality Pokrent, 81: municipality Krembz, 82: municipality Gottesgabe, 83: municipality Grambow, 84: municipality Rögnitz, 85: municipality Schildetal, 86: municipality Perlin ...Show less...

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

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Municipality Bibow, 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 Bibow

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Municipality Bibow, 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 Bibow.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms9Number2019
Houses 3 rooms21Number2019
Houses 4 rooms31Number2019
Houses 5 rooms32Number2019
Houses 6 rooms22Number2019
Houses 7+ rooms 16Number2019
Houses 1-2 rooms9Number2019
Houses 3-4 rooms52Number2019
Houses 5+ rooms70Number2019
1-2 rooms7%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms53%Percentage2019
ElectionsValueUnitYear
Voters Bundestag352,00Number2017
Voter turnout Bundestag34Number2017
Votes valid Bundestag117Number2017
Votes Bundestag CDU/CSU26Number2017
Votes Bundestag SPD22Number2017
Votes Bundestag GRÜNE5Number2017
Votes Bundestag FDP6Number2017
Votes Bundestag DIE LINKE14Number2017
Votes Bundestag AfD34Number2017
Votes Bundestag other parties10Number2017
Votes Bundestag total117Number2017
% Votes Bundestag CDU/CSU7%Percentage2017
% Votes Bundestag SPD6%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP2%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees96Number2019
Employees male50Number2019
Employees female46Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed10Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-655Number2018
Unemployed long-term4Number2018
% Unemployed3%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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers121Number2015
Income total€3.369Euro2015
Income tax€484Euro2015
PopulationValueUnitYear
Population394Number2019
Men226Number2019
Women168Number2019
% Men57%Percentage2019
% Women43%Percentage2019
0-1827Number2019
18-3021Number2019
30-4550Number2019
45-60109Number2019
18-60180Number2019
60-75123Number2019
60+187Number2019
Average age56Average number2019
Average age male56Average number2019
Average age female55Average number2019
Births1Number2018
Births male0Number2018
Births female1Number2018
1K Births3Number per 1000 inhabitants2018
Deaths19Number2018
Deaths male11Number2018
Deaths female8Number2018
1K Deaths48Number2018
0-34Number2019
Girls 0-33Number2019
Boys 0-31Number2019
3-68Number2019
Girls 3-64Number2019
Boys 3-64Number2019
6-105Number2019
10-158Number2019
15-182Number2019
18-201Number2019
20-2510Number2019
25-3010Number2019
30-3512Number2019
35-4019Number2019
40-4519Number2019
45-5018Number2019
50-5539Number2019
55-6052Number2019
60-6549Number2019
65-7574Number2019
Women 65-7024Number2019
Men 65-7050Number2019
75+64Number2019
Women 75+34Number2019
Men 75+30Number2019
% 0-104%Percentage2019
% 10-183%Percentage2019
% 18-305%Percentage2019
% 30-4513%Percentage2019
% 45-6028%Percentage2019
% 60+47%Percentage2019
Real estateValueUnitYear
Property tax A revenueno dataEurono data
Property tax B revenueno dataEurono data
Trade tax actual revenueno dataEurono data
Property tax A basic amountno dataEurono data
Property tax B basic amountno dataEurono data
Trade tax basic amountno dataEurono data
Property tax A rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code130745457006Code2019
Region code 8 digits13074006Code13074006
Sorting code130745457006Code130745457006
Sorting code 8 digits13074006Code13074006
Region nameBibowName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BibowName2019
Region name in GermanGemeinde BibowName2019
Direct subregionsno dataNumber2019
NUTS codeDE80MCode2019
Area23Area in km²2019
ReligionValueUnitYear
Roman Catholic churchno dataNumberno data
Protestant churchno dataNumberno data
Other or noneno dataNumberno data
% Roman Catholic churchno dataPercentageno data
% Protestant churchno dataPercentageno data
% Other or noneno dataPercentageno data
Roman Catholic church Germanno dataNumberno data
Protestant church Germanno dataNumberno data
Other or none Germanno dataNumberno data
% Roman Catholic church Germanno dataPercentageno data
% Protestant church Germanno dataPercentageno data
% Other or none German Foreignno dataPercentageno data
Roman Catholic church Foreignno dataNumberno data
Protestant church Foreignno dataNumberno data
Other or none Foreignno dataNumberno data
% 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.