Information about the municipality Kröppen:

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

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Population numbers in the municipality Kröppen 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 Kröppen
Map of Rural district Südwestpfalz with the population per municipality.Municipality Kröppen 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 Südwestpfalz with the population per municipality.Municipality Kröppen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach ...Show more... Map of Rural district Südwestpfalz with the population per municipality.Municipality Kröppen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach, 6: municipality Wiesbach, 7: municipality Weselberg, 8: municipality Horbach, 9: municipality Schmalenberg, 10: municipality Krähenberg, 11: municipality Geiselberg, 12: municipality Käshofen, 13: municipality Saalstadt, 14: municipality Wallhalben, 15: municipality Biedershausen, 16: municipality Steinalben, 17: municipality Hermersberg, 18: municipality Kleinbundenbach, 19: municipality Schauerberg, 20: municipality Schmitshausen, 21: municipality Heltersberg, 22: municipality Winterbach (Pfalz), 23: municipality Großbundenbach, 24: municipality Herschberg, 25: municipality Höheinöd, 26: municipality Waldfischbach-Burgalben, 27: municipality Leimen, 28: municipality Reifenberg, 29: municipality Battweiler, 30: municipality Maßweiler, 31: municipality Donsieders, 32: municipality Thaleischweiler-Fröschen, 33: municipality Clausen, 34: municipality Rieschweiler-Mühlbach, 35: municipality Merzalben, 36: municipality Höhfröschen, 37: municipality Contwig, 38: municipality Wilgartswiesen, 39: municipality Petersberg, 40: municipality city Rodalben, 41: municipality Dellfeld, 42: municipality Höheischweiler, 43: municipality Nünschweiler, 44: municipality Münchweiler an der Rodalb, 45: municipality Walshausen, 46: municipality Althornbach, 47: municipality Spirkelbach, 48: municipality Dietrichingen, 49: municipality Kleinsteinhausen, 50: municipality Ruppertsweiler, 51: municipality Großsteinhausen, 52: municipality Hinterweidenthal, 53: municipality Bottenbach, 54: municipality Mauschbach, 55: municipality city Hornbach, 56: municipality Hauenstein, 57: municipality Lug, 58: municipality Riedelberg, 59: municipality Schwanheim, 60: municipality Vinningen, 61: municipality Dimbach, 62: municipality Erfweiler, 63: municipality Obersimten, 64: municipality Kröppen, 65: municipality Darstein, 66: municipality Lemberg, 67: municipality city Dahn, 68: municipality Trulben, 69: municipality Schindhard, 70: municipality Busenberg, 71: municipality Schweix, 72: municipality Hilst, 73: municipality Bruchweiler-Bärenbach, 74: municipality Erlenbach bei Dahn, 75: municipality Eppenbrunn, 76: municipality Bundenthal, 77: municipality Fischbach bei Dahn, 78: municipality Rumbach, 79: municipality Ludwigswinkel, 80: municipality Niederschlettenbach, 81: municipality Nothweiler, 82: municipality Schönau (Pfalz), 83: municipality Bobenthal, 84: municipality Hirschthal ...Show less...

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

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Municipality Kröppen, 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 Kröppen

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Municipality Kröppen, 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 Kröppen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms6Number2019
Houses 3 rooms45Number2019
Houses 4 rooms74Number2019
Houses 5 rooms85Number2019
Houses 6 rooms79Number2019
Houses 7+ rooms 81Number2019
Houses 1-2 rooms6Number2019
Houses 3-4 rooms119Number2019
Houses 5+ rooms245Number2019
1-2 rooms2%Percentage2019
3-4 rooms32%Percentage2019
5+ rooms66%Percentage2019
ElectionsValueUnitYear
Voters Bundestag611,00Number2017
Voter turnout Bundestag75Number2017
Votes valid Bundestag310Number2017
Votes Bundestag CDU/CSU129Number2017
Votes Bundestag SPD78Number2017
Votes Bundestag GRÜNE16Number2017
Votes Bundestag FDP20Number2017
Votes Bundestag DIE LINKE17Number2017
Votes Bundestag AfD38Number2017
Votes Bundestag other parties12Number2017
Votes Bundestag total310Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees276Number2019
Employees male138Number2019
Employees female138Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed13Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-654Number2018
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 receivers374Number2015
Income total€12.471Euro2015
Income tax€1.848Euro2015
PopulationValueUnitYear
Population686Number2019
Men339Number2019
Women347Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1885Number2019
18-3088Number2019
30-4591Number2019
45-60185Number2019
18-60364Number2019
60-75146Number2019
60+237Number2019
Average age48Average number2019
Average age male48Average number2019
Average age female49Average number2019
Births6Number2018
Births male3Number2018
Births female3Number2018
1K Births9Number per 1000 inhabitants2018
Deaths7Number2018
Deaths male4Number2018
Deaths female3Number2018
1K Deaths10Number2018
0-315Number2019
Girls 0-37Number2019
Boys 0-38Number2019
3-614Number2019
Girls 3-67Number2019
Boys 3-67Number2019
6-1013Number2019
10-1524Number2019
15-1819Number2019
18-2012Number2019
20-2538Number2019
25-3038Number2019
30-3531Number2019
35-4033Number2019
40-4527Number2019
45-5044Number2019
50-5564Number2019
55-6077Number2019
60-6572Number2019
65-7574Number2019
Women 65-7035Number2019
Men 65-7039Number2019
75+91Number2019
Women 75+49Number2019
Men 75+42Number2019
% 0-106%Percentage2019
% 10-186%Percentage2019
% 18-3013%Percentage2019
% 30-4513%Percentage2019
% 45-6027%Percentage2019
% 60+35%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€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€10.419Euro2018
Trade tax net€45.263Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405003026Code2019
Region code 8 digits07340026Code07340026
Sorting code073405003026Code073405003026
Sorting code 8 digits07340026Code07340026
Region nameKröppenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality KröppenName2019
Region name in GermanGemeinde KröppenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church410Number2011
Protestant church245Number2011
Other or none89Number2011
% Roman Catholic church55%Percentage2011
% Protestant church33%Percentage2011
% Other or none12%Percentage2011
Roman Catholic church German407Number2011
Protestant church German245Number2011
Other or none German86Number2011
% Roman Catholic church German55%Percentage2011
% Protestant church German33%Percentage2011
% Other or none German Foreign12%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign50%Percentage2011
% Protestant church Foreign0%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.