namur.be

Namur is a city and municipality in Wallonia, Belgium. It is both the capital of the province of Namur and of Wallonia, hosting the Parliament of Wallonia, Walloon Government and administration. More information...

Multilingual Wikipedia

In June 2020 the website namur.be was on the 90,895th 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 68,962nd place in June 2020. From Wikipedians' point of view, "namur.be" is the 68,434th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cdmirandes.com and after kfa-eh.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
90,895th place
218,490
-40,079
AR-score:
68,434th place
42,800
+1,999
F-score:
68,962nd place
116
+3

French Wikipedia (fr)

PR-score:
7,919th place
145,153
-36,464
AR-score:
7,126th place
31,630
+1,991
F-score:
8,649th place
75
+3

English Wikipedia (en)

PR-score:
179,502nd place
44,444
-6,425
AR-score:
184,318th place
5,558
+8
F-score:
276,545th place
7
0

Dutch Wikipedia (nl)

PR-score:
9,166th place
20,153
+1,637
AR-score:
12,659th place
3,366
0
F-score:
14,159th place
5
0

German Wikipedia (de)

PR-score:
105,492nd place
8,027
+1,391
AR-score:
148,093rd place
1,258
0
F-score:
19,312th place
25
0

Picard Wikipedia (pcd)

PR-score:
191st place
400
-150
AR-score:
496th place
50
0
F-score:
499th place
1
0

Norwegian Wikipedia (no)

PR-score:
40,619th place
185
-43
AR-score:
24,532nd place
757
0
F-score:
35,367th place
1
0

Russian Wikipedia (ru)

PR-score:
314,909th place
91
-26
AR-score:
331,324th place
13
0
F-score:
311,641st place
1
0

Italian Wikipedia (it)

PR-score:
241,318th place
33
0
AR-score:
190,211th place
166
0
F-score:
237,302nd place
1
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...