europapark.de

Europa-Park is the largest theme park in Germany, and the second most popular theme park resort in Europe, following Disneyland Paris. Europa-Park is located in Rust, in south-western Germany, between Freiburg im Breisgau and Strasbourg. More information...

Multilingual Wikipedia

In June 2020 the website europapark.de was on the 40,434th 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 73,494th place in June 2020. From Wikipedians' point of view, "europapark.de" is the 34,324th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before fisica.net and after ralphmag.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,434th place
569,595
-47,200
AR-score:
34,324th place
97,607
+4,853
F-score:
73,494th place
107
+4

German Wikipedia (de)

PR-score:
6,162nd place
271,942
+4,809
AR-score:
5,903rd place
46,695
+4,688
F-score:
13,356th place
38
+4

English Wikipedia (en)

PR-score:
43,847th place
254,436
-42,965
AR-score:
41,825th place
31,848
+148
F-score:
88,700th place
27
0

French Wikipedia (fr)

PR-score:
45,199th place
18,659
-2,866
AR-score:
26,402nd place
7,189
+3
F-score:
33,913th place
15
0

Dutch Wikipedia (nl)

PR-score:
12,598th place
12,346
+2,991
AR-score:
11,448th place
3,823
0
F-score:
7,263rd place
10
0

Hungarian Wikipedia (hu)

PR-score:
14,872nd place
4,400
-1,450
AR-score:
14,090th place
1,500
0
F-score:
25,582nd place
3
0

Catalan Wikipedia (ca)

PR-score:
14,519th place
1,600
-1,900
AR-score:
12,028th place
2,100
0
F-score:
72,138th place
1
0

Danish Wikipedia (da)

PR-score:
19,645th place
866
0
AR-score:
26,812th place
266
0
F-score:
10,553rd place
4
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...