Information about the municipality Gleisweiler:

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

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Population numbers in the municipality Gleisweiler 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 Gleisweiler
Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Gleisweiler 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 Südliche Weinstraße with the population per municipality.Municipality Gleisweiler is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf ...Show more... Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Gleisweiler is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf, 6: municipality city Edenkoben, 7: municipality Venningen, 8: municipality Böbingen, 9: municipality Rhodt unter Rietburg, 10: municipality Hainfeld, 11: municipality Edesheim, 12: municipality Weyher in der Pfalz, 13: municipality Ramberg, 14: municipality Freimersheim (Pfalz), 15: municipality Großfischlingen, 16: municipality Roschbach, 17: municipality Burrweiler, 18: municipality Kleinfischlingen, 19: municipality Flemlingen, 20: municipality Dernbach, 21: municipality Gleisweiler, 22: municipality Walsheim, 23: municipality Böchingen, 24: municipality Albersweiler, 25: municipality Frankweiler, 26: municipality Eußerthal, 27: municipality Siebeldingen, 28: municipality Knöringen, 29: municipality Hochstadt (Pfalz), 30: municipality Essingen, 31: municipality city Annweiler am Trifels, 32: municipality Rinnthal, 33: municipality Birkweiler, 34: municipality Bornheim, 35: municipality Ranschbach, 36: municipality Wernersberg, 37: municipality Offenbach an der Queich, 38: municipality Leinsweiler, 39: municipality Ilbesheim bei Landau in der Pfalz, 40: municipality Völkersweiler, 41: municipality Eschbach, 42: municipality Waldrohrbach, 43: municipality Waldhambach, 44: municipality Impflingen, 45: municipality Göcklingen, 46: municipality Gossersweiler-Stein, 47: municipality Insheim, 48: municipality Herxheimweyher, 49: municipality Münchweiler am Klingbach, 50: municipality Herxheim bei Landau/Pfalz, 51: municipality Klingenmünster, 52: municipality Oberschlettenbach, 53: municipality Rohrbach, 54: municipality Heuchelheim-Klingen, 55: municipality Silz, 56: municipality Gleiszellen-Gleishorbach, 57: municipality Vorderweidenthal, 58: municipality Billigheim-Ingenheim, 59: municipality Pleisweiler-Oberhofen, 60: municipality Niederhorbach, 61: municipality Birkenhördt, 62: municipality city Bad Bergzabern, 63: municipality Barbelroth, 64: municipality Oberhausen, 65: municipality Hergersweiler, 66: municipality Kapellen-Drusweiler, 67: municipality Böllenborn, 68: municipality Dörrenbach, 69: municipality Dierbach, 70: municipality Oberotterbach, 71: municipality Niederotterbach, 72: municipality Schweigen-Rechtenbach, 73: municipality Schweighofen, 74: municipality Kapsweyer, 75: municipality Steinfeld ...Show less...

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

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Municipality Gleisweiler, 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 Gleisweiler

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Municipality Gleisweiler, 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 Gleisweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room10Number2019
Houses 2 rooms26Number2019
Houses 3 rooms54Number2019
Houses 4 rooms57Number2019
Houses 5 rooms46Number2019
Houses 6 rooms60Number2019
Houses 7+ rooms 85Number2019
Houses 1-2 rooms36Number2019
Houses 3-4 rooms111Number2019
Houses 5+ rooms191Number2019
1-2 rooms11%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms57%Percentage2019
ElectionsValueUnitYear
Voters Bundestag491,00Number2017
Voter turnout Bundestag83Number2017
Votes valid Bundestag242Number2017
Votes Bundestag CDU/CSU81Number2017
Votes Bundestag SPD54Number2017
Votes Bundestag GRÜNE25Number2017
Votes Bundestag FDP27Number2017
Votes Bundestag DIE LINKE18Number2017
Votes Bundestag AfD26Number2017
Votes Bundestag other parties11Number2017
Votes Bundestag total242Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees192Number2019
Employees male96Number2019
Employees female96Number2019
Employees foreigner7Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed13Number2018
Unemployed foreigners2Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-655Number2018
Unemployed long-term4Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers285Number2015
Income total€11.865Euro2015
Income tax€1.991Euro2015
PopulationValueUnitYear
Population593Number2019
Men283Number2019
Women310Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-1881Number2019
18-3044Number2019
30-4574Number2019
45-60158Number2019
18-60276Number2019
60-75150Number2019
60+236Number2019
Average age51Average number2019
Average age male51Average number2019
Average age female51Average number2019
Births3Number2018
Births male1Number2018
Births female2Number2018
1K Births5Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male4Number2018
Deaths female2Number2018
1K Deaths10Number2018
0-37Number2019
Girls 0-33Number2019
Boys 0-34Number2019
3-614Number2019
Girls 3-67Number2019
Boys 3-67Number2019
6-1025Number2019
10-1522Number2019
15-1813Number2019
18-2010Number2019
20-2523Number2019
25-3011Number2019
30-3512Number2019
35-4032Number2019
40-4530Number2019
45-5042Number2019
50-5571Number2019
55-6045Number2019
60-6539Number2019
65-75111Number2019
Women 65-7052Number2019
Men 65-7059Number2019
75+86Number2019
Women 75+51Number2019
Men 75+35Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-307%Percentage2019
% 30-4512%Percentage2019
% 45-6027%Percentage2019
% 60+40%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 rate€340Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€6.332Euro2018
Trade tax net€29.822Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375003028Code2019
Region code 8 digits07337028Code07337028
Sorting code073375003028Code073375003028
Sorting code 8 digits07337028Code07337028
Region nameGleisweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GleisweilerName2019
Region name in GermanGemeinde GleisweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area4Area in km²2019
ReligionValueUnitYear
Roman Catholic church223Number2011
Protestant church210Number2011
Other or none166Number2011
% Roman Catholic church37%Percentage2011
% Protestant church35%Percentage2011
% Other or none28%Percentage2011
Roman Catholic church German214Number2011
Protestant church German210Number2011
Other or none German156Number2011
% Roman Catholic church German37%Percentage2011
% Protestant church German36%Percentage2011
% Other or none German Foreign27%Percentage2011
Roman Catholic church Foreign9Number2011
Protestant church Foreign0Number2011
Other or none Foreign10Number2011
% Roman Catholic church Foreign47%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign53%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.