thanet.gov.uk

Thanet is a local government district in Kent, England. Formed under the Local Government Act 1972, it came into being on 1 April 1974 and is governed by Thanet District Council. More information...

Multilingual Wikipedia

In June 2020 the website thanet.gov.uk was on the 168,086th 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 109,865th place in June 2020. From Wikipedians' point of view, "thanet.gov.uk" is the 87,729th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ebookee.org and after biocore-europe.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
168,086th place
103,379
-6,033
AR-score:
87,729th place
31,802
-128
F-score:
109,865th place
65
0

English Wikipedia (en)

PR-score:
96,412th place
98,444
-4,739
AR-score:
43,858th place
30,083
-128
F-score:
49,127th place
56
0

German Wikipedia (de)

PR-score:
154,585th place
3,771
-900
AR-score:
148,151st place
1,257
0
F-score:
256,258th place
1
0

Korean Wikipedia (ko)

PR-score:
31,416th place
672
-52
AR-score:
47,380th place
62
0
F-score:
44,887th place
1
0

Polish Wikipedia (pl)

PR-score:
127,109th place
210
-40
AR-score:
116,580th place
180
0
F-score:
134,855th place
1
0

French Wikipedia (fr)

PR-score:
316,521st place
200
-50
AR-score:
297,616th place
166
0
F-score:
133,935th place
3
0

Scots Wikipedia (sco)

PR-score:
12,188th place
58
-208
AR-score:
15,399th place
16
0
F-score:
14,721st place
1
0

Portuguese Wikipedia (pt)

PR-score:
221,423rd place
15
-21
AR-score:
208,013th place
21
0
F-score:
217,182nd place
1
0

Kazakh Wikipedia (kk)

PR-score:
8,453rd place
7
-22
AR-score:
7,664th place
14
0
F-score:
8,909th 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...