Information about the municipality Erfweiler:

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

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Population numbers in the municipality Erfweiler 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 Erfweiler
Map of Rural district Südwestpfalz with the population per municipality.Municipality Erfweiler 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 Erfweiler 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 Erfweiler 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 Erfweiler

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Municipality Erfweiler, 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 Erfweiler

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Municipality Erfweiler, 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 Erfweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms15Number2019
Houses 3 rooms61Number2019
Houses 4 rooms103Number2019
Houses 5 rooms108Number2019
Houses 6 rooms132Number2019
Houses 7+ rooms 170Number2019
Houses 1-2 rooms15Number2019
Houses 3-4 rooms164Number2019
Houses 5+ rooms410Number2019
1-2 rooms3%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms70%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1004,00Number2017
Voter turnout Bundestag82Number2017
Votes valid Bundestag536Number2017
Votes Bundestag CDU/CSU269Number2017
Votes Bundestag SPD111Number2017
Votes Bundestag GRÜNE28Number2017
Votes Bundestag FDP36Number2017
Votes Bundestag DIE LINKE24Number2017
Votes Bundestag AfD49Number2017
Votes Bundestag other parties19Number2017
Votes Bundestag total536Number2017
% Votes Bundestag CDU/CSU27%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees490Number2019
Employees male257Number2019
Employees female233Number2019
Employees foreigner14Number2019
Employees male foreigner9Number2019
Employees female foreigner5Number2019
Unemployed19Number2018
Unemployed foreigners4Number2018
Unemployed severely disabled0Number2018
Unemployed 15-202Number2018
Unemployed 15-254Number2018
Unemployed 55-658Number2018
Unemployed long-term6Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers566Number2015
Income total€21.610Euro2015
Income tax€3.224Euro2015
PopulationValueUnitYear
Population1.213Number2019
Men617Number2019
Women596Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18196Number2019
18-30139Number2019
30-45183Number2019
45-60295Number2019
18-60617Number2019
60-75241Number2019
60+400Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female48Average number2019
Births10Number2018
Births male4Number2018
Births female6Number2018
1K Births8Number per 1000 inhabitants2018
Deaths18Number2018
Deaths male11Number2018
Deaths female7Number2018
1K Deaths15Number2018
0-331Number2019
Girls 0-312Number2019
Boys 0-319Number2019
3-633Number2019
Girls 3-615Number2019
Boys 3-618Number2019
6-1045Number2019
10-1552Number2019
15-1835Number2019
18-2020Number2019
20-2557Number2019
25-3062Number2019
30-3551Number2019
35-4079Number2019
40-4553Number2019
45-5093Number2019
50-55119Number2019
55-6083Number2019
60-65106Number2019
65-75135Number2019
Women 65-7068Number2019
Men 65-7067Number2019
75+159Number2019
Women 75+93Number2019
Men 75+66Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3011%Percentage2019
% 30-4515%Percentage2019
% 45-6024%Percentage2019
% 60+33%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€21.462Euro2018
Trade tax net€93.231Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405001009Code2019
Region code 8 digits07340009Code07340009
Sorting code073405001009Code073405001009
Sorting code 8 digits07340009Code07340009
Region nameErfweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality ErfweilerName2019
Region name in GermanGemeinde ErfweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area9Area in km²2019
ReligionValueUnitYear
Roman Catholic church887Number2011
Protestant church170Number2011
Other or none130Number2011
% Roman Catholic church75%Percentage2011
% Protestant church14%Percentage2011
% Other or none11%Percentage2011
Roman Catholic church German883Number2011
Protestant church German167Number2011
Other or none German126Number2011
% Roman Catholic church German75%Percentage2011
% Protestant church German14%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign4Number2011
Protestant church Foreign3Number2011
Other or none Foreign4Number2011
% Roman Catholic church Foreign36%Percentage2011
% Protestant church Foreign27%Percentage2011
% Other or none Foreign36%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.