GLS Bank is a German ethical bank that was founded in 1974 as an anthroposophical initiative by Wilhelm Ernst Barkhoff and Gisela Reuther. It was the first bank in Germany that operated with an ethical philosophy. According to GLS Bank, its focus is on cultural, social and ecological initiatives, initiated by people, and not anonymous interests seeking capital or maximum profit. The name stands for Gemeinschaftsbank für Leihen und Schenken which translates as Community bank for loaning and giving. With the main focus on cultural, social and environmental ventures, GLS tries to deal with challenges in the society by developing creative solutions. More information...

Multilingual Wikipedia

In June 2020 the website gls.de was on the 121,662nd place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 135,223rd place in June 2020. From Wikipedians' point of view, "gls.de" is the 154,690th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pourlemerite.org and after tudogostoso.com.br in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
121,662nd place
154,007
-54,816
AR-score:
154,690th place
16,171
-1,988
F-score:
135,223rd place
50
-6

German Wikipedia (de)

PR-score:
12,140th place
128,217
-51,817
AR-score:
19,271st place
12,909
-1,989
F-score:
12,789th place
40
-6

English Wikipedia (en)

PR-score:
288,236th place
22,500
-958
AR-score:
374,273rd place
2,291
0
F-score:
367,390th place
5
0

French Wikipedia (fr)

PR-score:
134,720th place
3,209
-1,921
AR-score:
206,535th place
450
0
F-score:
143,425th place
3
0

Norwegian Wikipedia (no)

PR-score:
52,431st place
80
-120
AR-score:
30,500th place
520
0
F-score:
29,586th place
2
0

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...