Information about the municipality Lind:

View the information on over 100 topics about the municipality Lind! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Lind! 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 Lind

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Population numbers in the municipality Lind 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 Lind
Map of Rural district Mayen-Koblenz with the population per municipality.Municipality Lind 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 Mayen-Koblenz with the population per municipality.Municipality Lind is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bendorf, 2: municipality city Andernach, 3: municipality Weitersburg, 4: municipality city Weißenthurm, 5: municipality Nickenich ...Show more... Map of Rural district Mayen-Koblenz with the population per municipality.Municipality Lind is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bendorf, 2: municipality city Andernach, 3: municipality Weitersburg, 4: municipality city Weißenthurm, 5: municipality Nickenich, 6: municipality Urmitz, 7: municipality Kaltenengers, 8: municipality Sankt Sebastian, 9: municipality city Vallendar, 10: municipality Niederwerth, 11: municipality Kretz, 12: municipality Bell, 13: municipality Hausten, 14: municipality Kettig, 15: municipality Rieden, 16: municipality city Mülheim-Kärlich, 17: municipality Arft, 18: municipality Volkesfeld, 19: municipality Plaidt, 20: municipality Langscheid, 21: municipality Kruft, 22: municipality Urbar, 23: municipality Siebenbach, 24: municipality Saffig, 25: municipality city Mendig, 26: municipality Acht, 27: municipality Kirchwald, 28: municipality Langenfeld, 29: municipality Ettringen, 30: municipality Welschenbach, 31: municipality Herresbach, 32: municipality Bassenheim, 33: municipality Sankt Johann, 34: municipality Thür, 35: municipality Baar, 36: municipality Ochtendung, 37: municipality Kottenheim, 38: municipality Virneburg, 39: municipality Wolken, 40: municipality Welling, 41: municipality Trimbs, 42: municipality Hirten, 43: municipality Lind, 44: municipality city Mayen, 45: municipality Winningen, 46: municipality Luxem, 47: municipality Nachtsheim, 48: municipality Reudelsterz, 49: municipality Kobern-Gondorf, 50: municipality Lonnig, 51: municipality Kerben, 52: municipality Boos, 53: municipality Weiler, 54: municipality city Polch, 55: municipality Münk, 56: municipality Anschau, 57: municipality Rüber, 58: municipality Ditscheid, 59: municipality Dieblich, 60: municipality Monreal, 61: municipality Einig, 62: municipality Bermel, 63: municipality Gappenach, 64: municipality Waldesch, 65: municipality city Rhens, 66: municipality Niederfell, 67: municipality Kehrig, 68: municipality Gering, 69: municipality Lehmen, 70: municipality Mertloch, 71: municipality Kalt, 72: municipality Gierschnach, 73: municipality Brey, 74: municipality Kollig, 75: municipality Spay, 76: municipality Oberfell, 77: municipality Naunheim, 78: municipality Löf, 79: municipality city Münstermaifeld, 80: municipality Alken, 81: municipality Pillig, 82: municipality Nörtershausen, 83: municipality Hatzenport, 84: municipality Wierschem, 85: municipality Brodenbach, 86: municipality Burgen, 87: municipality Macken ...Show less...

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

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Municipality Lind, 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 Lind

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Municipality Lind, 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 Lind.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms0Number2019
Houses 3 rooms2Number2019
Houses 4 rooms5Number2019
Houses 5 rooms8Number2019
Houses 6 rooms2Number2019
Houses 7+ rooms 11Number2019
Houses 1-2 rooms0Number2019
Houses 3-4 rooms7Number2019
Houses 5+ rooms21Number2019
1-2 rooms0%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms75%Percentage2019
ElectionsValueUnitYear
Voters Bundestag43,00Number2017
Voter turnout Bundestag100Number2017
Votes valid Bundestag38Number2017
Votes Bundestag CDU/CSU18Number2017
Votes Bundestag SPD4Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP9Number2017
Votes Bundestag DIE LINKE3Number2017
Votes Bundestag AfD0Number2017
Votes Bundestag other parties1Number2017
Votes Bundestag total38Number2017
% Votes Bundestag CDU/CSU42%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP21%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD0%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees16Number2019
Employees male0Number2019
Employees female0Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed1Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term0Number2018
% 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 55-652%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers22Number2015
Income total€1.060Euro2015
Income tax€234Euro2015
PopulationValueUnitYear
Population51Number2019
Men31Number2019
Women20Number2019
% Men61%Percentage2019
% Women39%Percentage2019
0-188Number2019
18-303Number2019
30-457Number2019
45-6019Number2019
18-6029Number2019
60-757Number2019
60+14Number2019
Average age49Average number2019
Average age male48Average number2019
Average age female51Average number2019
Birthsno dataNumber2010
Births maleno dataNumber2010
Births femaleno dataNumber2010
1K Birthsno dataNumber per 1000 inhabitants2010
Deaths2Number2018
Deaths male2Number2018
Deaths female0Number2018
1K Deaths39Number2018
0-30Number2019
Girls 0-30Number2019
Boys 0-30Number2019
3-60Number2019
Girls 3-60Number2019
Boys 3-60Number2019
6-102Number2019
10-154Number2019
15-182Number2019
18-200Number2019
20-253Number2019
25-300Number2019
30-350Number2019
35-404Number2019
40-453Number2019
45-504Number2019
50-557Number2019
55-608Number2019
60-651Number2019
65-756Number2019
Women 65-702Number2019
Men 65-704Number2019
75+7Number2019
Women 75+4Number2019
Men 75+3Number2019
% 0-104%Percentage2019
% 10-1812%Percentage2019
% 18-306%Percentage2019
% 30-4514%Percentage2019
% 45-6037%Percentage2019
% 60+27%Percentage2019
Real estateValueUnitYear
Property tax A revenue€908Euro2018
Property tax B revenue€6.261Euro2018
Trade tax actual revenueno dataEurono data
Property tax A basic amount€303Euro2018
Property tax B basic amount€1.715Euro2018
Trade tax basic amountno dataEurono data
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€365Euro2018
Real tax raising force€9.129Euro2018
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income tax€22.203Euro2018
Community share in sales tax€40Euro2018
Tax revenue€31.372Euro2018
RegionalValueUnitYear
Region code071375003063Code2019
Region code 8 digits07137063Code07137063
Sorting code071375003063Code071375003063
Sorting code 8 digits07137063Code07137063
Region nameLindName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality LindName2019
Region name in GermanGemeinde LindName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church40Number2011
Protestant church3Number2011
Other or none9Number2011
% Roman Catholic church78%Percentage2011
% Protestant church6%Percentage2011
% Other or none18%Percentage2011
Roman Catholic church German40Number2011
Protestant church German3Number2011
Other or none German9Number2011
% Roman Catholic church German77%Percentage2011
% Protestant church German6%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% 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.