land.nrw

North Rhine-Westphalia is a state of Germany. It is the most-populous of the 16 states of Germany. More information...

Multilingual Wikipedia

In June 2020 the website land.nrw was on the 9,423rd 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 17,167th place in June 2020. From Wikipedians' point of view, "land.nrw" is the 6,874th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before eastvalleytribune.com and after finances.gouv.fr in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
9,423rd place
3,163,493
-926,940
AR-score:
6,874th place
645,587
+6,308
F-score:
17,167th place
639
+17

German Wikipedia (de)

PR-score:
795th place
2,585,058
-510,692
AR-score:
525th place
622,027
+6,167
F-score:
1,225th place
567
+15

English Wikipedia (en)

PR-score:
26,429th place
461,178
-356,742
AR-score:
91,269th place
12,699
+1
F-score:
96,005th place
24
+1

Russian Wikipedia (ru)

PR-score:
45,175th place
29,271
-15,000
AR-score:
155,905th place
471
0
F-score:
117,096th place
3
0

Greek Wikipedia (el)

PR-score:
2,096th place
27,514
+10,972
AR-score:
4,488th place
2,742
0
F-score:
15,975th place
3
0

French Wikipedia (fr)

PR-score:
34,456th place
26,378
-54,555
AR-score:
171,063rd place
650
+6
F-score:
63,611th place
7
0

Polish Wikipedia (pl)

PR-score:
15,655th place
25,184
+606
AR-score:
35,365th place
1,711
+25
F-score:
29,149th place
8
0

Arabic Wikipedia (ar)

PR-score:
33,243rd place
2,590
-437
AR-score:
175,813th place
41
+4
F-score:
55,017th place
3
0

Italian Wikipedia (it)

PR-score:
155,805th place
576
-251
AR-score:
48,906th place
2,462
+5
F-score:
77,667th place
3
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...