Hospital District of Helsinki and Uusimaa is the joint municipal authority that operates hospitals.

Multilingual Wikipedia

In June 2020 the website hus.fi was on the 50,687th 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 32,691st place in June 2020. From Wikipedians' point of view, "hus.fi" is the 29,329th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before havana-club.com and after ujpestfc.hu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
50,687th place
437,355
-276,566
AR-score:
29,329th place
117,658
+2,232
F-score:
32,691st place
293
+2

Finnish Wikipedia (fi)

PR-score:
287th place
383,359
-282,001
AR-score:
506th place
96,938
-297
F-score:
928th place
224
+1

English Wikipedia (en)

PR-score:
228,997th place
31,707
+11,359
AR-score:
136,419th place
7,936
+2,502
F-score:
194,048th place
10
+1

Swedish Wikipedia (sv)

PR-score:
10,008th place
8,831
-4,503
AR-score:
9,290th place
4,330
0
F-score:
7,189th place
14
0

Japanese Wikipedia (ja)

PR-score:
84,276th place
6,085
-1,526
AR-score:
136,058th place
221
+6
F-score:
73,457th place
4
0

French Wikipedia (fr)

PR-score:
112,122nd place
4,608
-1,357
AR-score:
25,740th place
7,390
+20
F-score:
15,513th place
37
0

Spanish Wikipedia (es)

PR-score:
150,909th place
2,700
+1,500
AR-score:
144,310th place
600
0
F-score:
264,173rd place
1
0

Arabic Wikipedia (ar)

PR-score:
155,719th place
33
0
AR-score:
102,558th place
166
0
F-score:
122,199th place
1
0

Danish Wikipedia (da)

PR-score:
48,522nd place
27
-36
AR-score:
42,236th place
63
0
F-score:
37,089th place
1
0

Catalan Wikipedia (ca)

PR-score:
129,315th place
2
-2
AR-score:
127,467th place
10
0
F-score:
125,628th 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...