pole-emploi.fr

Pôle emploi is a French governmental agency which registers unemployed people, helps them find jobs and provides them with financial aid. The agency was created in 2009, resulting from the merger between the ANPE and the UNEDIC. The agency employs 45,000 civil servants. The merger had been expected for a very long time, for the two agencies had been created more than forty years before. More information...

Multilingual Wikipedia

In June 2020 the website pole-emploi.fr was on the 54,283rd 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 95,244th place in June 2020. From Wikipedians' point of view, "pole-emploi.fr" is the 59,181st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before balkanrock.com and after expedia.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
54,283rd place
403,272
-36,796
AR-score:
59,181st place
50,819
-296
F-score:
95,244th place
77
0

French Wikipedia (fr)

PR-score:
3,830th place
327,125
-22,095
AR-score:
5,966th place
39,143
-304
F-score:
10,543rd place
59
0

Arabic Wikipedia (ar)

PR-score:
5,763rd place
29,976
-3,160
AR-score:
6,277th place
8,109
0
F-score:
17,172nd place
11
0

Japanese Wikipedia (ja)

PR-score:
39,602nd place
23,844
-2,310
AR-score:
61,153rd place
1,155
+2
F-score:
92,036th place
3
0

German Wikipedia (de)

PR-score:
76,850th place
13,337
-3,194
AR-score:
144,252nd place
1,303
0
F-score:
295,949th place
1
0

English Wikipedia (en)

PR-score:
487,489th place
8,866
-5,736
AR-score:
622,855th place
1,049
+2
F-score:
802,977th place
2
0

Indonesian Wikipedia (id)

PR-score:
67,745th place
121
-302
AR-score:
72,407th place
57
+4
F-score:
70,685th 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...