sed-rada.gov.ua

Sievierodonetsk, Sieverodonetsk or Severodonetsk is a city in the Luhansk Oblast of Ukraine. Sievierodonetsk has the status of a city of regional significance, It is located nearby the Seversky Donets River, approximately to the north north west from the Oblast capital, Luhansk. Sievierodonetsk is the acting administrative centre of Luhansk Oblast due to Luhansk being temporarily controlled by self-proclaimed "Luhansk People's Republic", which is beyond the control of the Government of Ukraine, similarly to Kramatorsk acting as the administrative center of Donetsk Oblast during the Russian military intervention in Ukraine - their previous cities are still de jure administrative centres. Its population is approximately. More information...

Multilingual Wikipedia

In June 2020 the website sed-rada.gov.ua was on the 288,679th 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 221,198th place in June 2020. From Wikipedians' point of view, "sed-rada.gov.ua" is the 190,185th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ved-stat.com and after d777.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
288,679th place
51,180
-9,692
AR-score:
190,185th place
12,673
+82
F-score:
221,198th place
27
0

Ukrainian Wikipedia (uk)

PR-score:
2,529th place
47,187
-8,616
AR-score:
3,078th place
10,375
+48
F-score:
8,113th place
21
0

Russian Wikipedia (ru)

PR-score:
160,735th place
2,409
-1,110
AR-score:
92,692nd place
1,197
+33
F-score:
74,834th place
5
0

German Wikipedia (de)

PR-score:
217,387th place
1,583
+33
AR-score:
160,580th place
1,100
0
F-score:
249,459th 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...