trafikverket.se

The Swedish Transport Administration is a government agency in Sweden, controlled by the Riksdag and the Government of Sweden. It is responsible for long-term infrastructure planning for transport: road, rail, shipping and aviation. It owns, constructs, operates and maintains all state-owned roads and railways and operates many ferry services. More information...

Multilingual Wikipedia

In June 2020 the website trafikverket.se was on the 10,487th 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 6,206th place in June 2020. From Wikipedians' point of view, "trafikverket.se" is the 4,593rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cmjornal.pt and after imvdb.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,487th place
2,807,192
-542,049
AR-score:
4,593rd place
1,017,112
+3,372
F-score:
6,206th place
2,083
+16

Swedish Wikipedia (sv)

PR-score:
80th place
1,835,787
-385,595
AR-score:
105th place
724,568
+2,519
F-score:
160th place
1,381
+8

English Wikipedia (en)

PR-score:
19,319th place
671,343
-45,367
AR-score:
13,266th place
121,628
+728
F-score:
15,406th place
232
+2

German Wikipedia (de)

PR-score:
9,082nd place
176,753
-20,765
AR-score:
3,285th place
89,968
+9
F-score:
3,495th place
180
+5

Polish Wikipedia (pl)

PR-score:
14,969th place
26,787
+1,815
AR-score:
5,561st place
14,714
+133
F-score:
7,550th place
41
0

Finnish Wikipedia (fi)

PR-score:
3,692nd place
21,789
-14,407
AR-score:
4,146th place
9,279
+8
F-score:
4,418th place
35
0

Norwegian Wikipedia (no)

PR-score:
2,490th place
16,946
-39,456
AR-score:
1,280th place
23,350
-259
F-score:
2,672nd place
33
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...