posta.hu

Magyar Posta Zrt. or Hungary Post is the postal administration of Hungary. Besides normal mail delivery, Magyar Posta also offers logistics, banking, and marketing services. More information...

Multilingual Wikipedia

In June 2020 the website posta.hu was on the 90,746th 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 151,299th place in June 2020. From Wikipedians' point of view, "posta.hu" is the 80,422nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before vacuumschmelze.de and after data-economy.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
90,746th place
218,934
-35,415
AR-score:
80,422nd place
35,304
-2,292
F-score:
151,299th place
43
0

Hungarian Wikipedia (hu)

PR-score:
915th place
131,241
-17,306
AR-score:
1,771st place
14,654
0
F-score:
4,875th place
18
0

English Wikipedia (en)

PR-score:
143,727th place
59,434
-11,888
AR-score:
86,903rd place
13,434
-2,294
F-score:
225,524th place
8
0

Arabic Wikipedia (ar)

PR-score:
11,126th place
12,966
-8,167
AR-score:
14,763rd place
3,000
0
F-score:
95,507th place
1
0

Korean Wikipedia (ko)

PR-score:
8,074th place
9,200
+1,900
AR-score:
9,219th place
1,700
0
F-score:
38,514th place
1
0

French Wikipedia (fr)

PR-score:
119,641st place
4,070
+241
AR-score:
229,271st place
351
0
F-score:
215,316th place
1
0

Danish Wikipedia (da)

PR-score:
20,446th place
800
+200
AR-score:
16,074th place
700
0
F-score:
10,235th place
4
0

German Wikipedia (de)

PR-score:
365,786th place
182
-13
AR-score:
354,877th place
145
0
F-score:
190,734th place
2
0

Spanish Wikipedia (es)

PR-score:
342,422nd place
22
+17
AR-score:
329,532nd place
28
+3
F-score:
139,744th place
2
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...