Statistics Denmark is a Danish governmental organization under the Ministry for Economic and Interior Affairs. The organization is responsible for creating statistics on the Danish society, for example employment statistics, trade balance, and demographics. More information...

Multilingual Wikipedia

In June 2020 the website dst.dk was on the 5,659th 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 4,970th place in June 2020. From Wikipedians' point of view, "dst.dk" is the 3,606th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before huaxia.com and after unctad.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,659th place
5,619,723
-1,495,401
AR-score:
3,606th place
1,322,039
+4,459
F-score:
4,970th place
2,697
+8

English Wikipedia (en)

PR-score:
8,204th place
1,834,819
-307,874
AR-score:
6,487th place
278,581
+1,146
F-score:
12,217th place
307
+3

Danish Wikipedia (da)

PR-score:
26th place
1,623,770
-558,896
AR-score:
30th place
449,702
+1,335
F-score:
53rd place
960
+1

German Wikipedia (de)

PR-score:
2,846th place
633,153
+95,213
AR-score:
2,268th place
138,770
+387
F-score:
3,373rd place
187
+1

Russian Wikipedia (ru)

PR-score:
5,030th place
388,616
-203,831
AR-score:
3,715th place
53,649
+30
F-score:
16,999th place
32
0

Norwegian Wikipedia (no)

PR-score:
250th place
189,199
-56,361
AR-score:
577th place
57,119
+136
F-score:
343rd place
316
0

Swedish Wikipedia (sv)

PR-score:
1,096th place
113,197
-72,083
AR-score:
1,157th place
44,050
+885
F-score:
778th place
210
+2

Croatian Wikipedia (hr)

PR-score:
710th place
52,440
-44,926
AR-score:
128th place
69,036
+50
F-score:
430th place
101
0
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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...