ifad.org

The International Fund for Agricultural Development ) is an international financial institution and a specialised agency of the United Nations that works to address poverty and hunger in rural areas of developing countries. More information...

Multilingual Wikipedia

In June 2020 the website ifad.org was on the 40,299th 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 38,042nd place in June 2020. From Wikipedians' point of view, "ifad.org" is the 35,695th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before golf-monthly.co.uk and after kuroshitsuji.tv in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,299th place
571,512
-86,211
AR-score:
35,695th place
93,142
+2,090
F-score:
38,042nd place
243
+3

English Wikipedia (en)

PR-score:
38,383rd place
297,665
-40,549
AR-score:
37,153rd place
36,544
-71
F-score:
29,690th place
105
+1

Spanish Wikipedia (es)

PR-score:
25,672nd place
61,844
-26,671
AR-score:
32,198th place
5,548
+140
F-score:
27,363rd place
15
+1

Ukrainian Wikipedia (uk)

PR-score:
2,756th place
42,612
+33,212
AR-score:
7,167th place
4,275
+63
F-score:
47,881st place
2
0

Italian Wikipedia (it)

PR-score:
16,229th place
36,212
-15,375
AR-score:
18,347th place
7,513
+3
F-score:
24,096th place
12
0

German Wikipedia (de)

PR-score:
45,456th place
27,801
-150
AR-score:
38,636th place
6,288
+142
F-score:
34,085th place
13
0

French Wikipedia (fr)

PR-score:
33,258th place
27,513
-6,030
AR-score:
25,903rd place
7,343
+7
F-score:
41,687th place
12
0

Arabic Wikipedia (ar)

PR-score:
12,309th place
11,286
-25
AR-score:
7,303rd place
6,752
+1,802
F-score:
12,187th place
16
+1
Show all Wikipedia languages...

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...