vatican.va

.va is the Internet country code top-level domain for the State of the Vatican City. It is administered by the Internet Office of the Holy See. More information...

Multilingual Wikipedia

In June 2020 the website vatican.va was on the 242nd 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 189th place in June 2020. From Wikipedians' point of view, "vatican.va" is the 135th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before admin.ch and after basketball-reference.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
242nd place
134,761,660
-41,894,836
AR-score:
135th place
28,899,936
+235,726
F-score:
189th place
67,516
+1,178

English Wikipedia (en)

PR-score:
448th place
47,034,938
-9,633,602
AR-score:
260th place
7,216,040
+97,148
F-score:
250th place
16,917
+320

Spanish Wikipedia (es)

PR-score:
76th place
28,245,908
-7,030,563
AR-score:
125th place
2,261,079
+5,298
F-score:
217th place
3,263
+22

German Wikipedia (de)

PR-score:
158th place
13,989,461
-4,182,781
AR-score:
42nd place
5,011,018
+28,483
F-score:
59th place
7,726
+75

Italian Wikipedia (it)

PR-score:
63rd place
11,998,207
-8,623,449
AR-score:
29th place
4,730,816
+7,813
F-score:
70th place
5,963
+62

French Wikipedia (fr)

PR-score:
209th place
8,331,936
-2,734,940
AR-score:
175th place
2,005,800
+11,092
F-score:
199th place
4,894
+25

Polish Wikipedia (pl)

PR-score:
133rd place
4,728,615
-3,180,436
AR-score:
70th place
1,592,084
+31,931
F-score:
82nd place
6,719
+148

Chinese Wikipedia (zh)

PR-score:
472nd place
2,818,541
-1,261,719
AR-score:
46th place
1,998,230
+1,989
F-score:
73rd place
5,213
+105
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...