planningcommission.gov.in

Multilingual Wikipedia

In June 2020 the website planningcommission.gov.in was on the 28,989th 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 31,629th place in June 2020. From Wikipedians' point of view, "planningcommission.gov.in" is the 31,708th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before gob.cu and after skymedia.co.uk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
28,989th place
843,859
-153,481
AR-score:
31,708th place
107,424
+1,521
F-score:
31,629th place
305
+14

English Wikipedia (en)

PR-score:
18,645th place
699,878
-95,869
AR-score:
21,360th place
70,314
+978
F-score:
21,116th place
159
+13

Hindi Wikipedia (hi)

PR-score:
372nd place
29,085
-4,373
AR-score:
621st place
6,848
+109
F-score:
4,974th place
4
0

Spanish Wikipedia (es)

PR-score:
62,155th place
17,312
-3,713
AR-score:
92,331st place
1,328
+5
F-score:
117,917th place
2
0

Thai Wikipedia (th)

PR-score:
3,330th place
17,151
-6,559
AR-score:
2,831st place
3,966
-304
F-score:
2,604th place
18
0

Hungarian Wikipedia (hu)

PR-score:
8,265th place
10,439
-11,498
AR-score:
25,398th place
631
+2
F-score:
40,461st place
1
0

Tamil Wikipedia (ta)

PR-score:
862nd place
7,005
-2,753
AR-score:
862nd place
4,610
+6
F-score:
1,605th place
18
0

Simple English Wikipedia (simple)

PR-score:
3,591st place
6,622
-2,731
AR-score:
3,398th place
3,732
-441
F-score:
6,600th place
5
-1

Sindhi Wikipedia (sd)

PR-score:
553rd place
481
-67
AR-score:
613th place
187
+14
F-score:
170th place
10
0

Maithili Wikipedia (mai)

PR-score:
672nd place
386
-397
AR-score:
299th place
343
0
F-score:
257th place
7
0
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...