belstat.gov.by

National Statistical Committee of the Republic of Belarus is the Belarus' principal government institution in charge of statistics and census data.

Multilingual Wikipedia

In June 2020 the website belstat.gov.by was on the 4,754th 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 2,231st place in June 2020. From Wikipedians' point of view, "belstat.gov.by" is the 2,394th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before fnn.jp and after lexisnexis.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
4,754th place
6,822,425
-2,810,066
AR-score:
2,394th place
2,096,459
+6,510
F-score:
2,231st place
6,725
+62

Russian Wikipedia (ru)

PR-score:
656th place
3,169,792
-1,192,074
AR-score:
351st place
556,140
+8,388
F-score:
481st place
1,567
+57

English Wikipedia (en)

PR-score:
8,586th place
1,739,297
-603,913
AR-score:
7,057th place
251,942
+4,179
F-score:
14,934th place
241
0

Polish Wikipedia (pl)

PR-score:
1,194th place
470,983
-175,496
AR-score:
759th place
143,240
+301
F-score:
2,073rd place
196
+1

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
6th place
178,014
-47,382
AR-score:
4th place
392,048
-3,234
F-score:
4th place
2,139
0

French Wikipedia (fr)

PR-score:
8,087th place
141,861
-52,339
AR-score:
1,806th place
158,331
+255
F-score:
3,045th place
264
0

Swedish Wikipedia (sv)

PR-score:
2,054th place
56,193
-39,385
AR-score:
653rd place
85,257
+175
F-score:
349th place
533
0

Belarusian Wikipedia (be)

PR-score:
65th place
44,967
-15,638
AR-score:
95th place
29,738
+356
F-score:
91st place
273
+2

Finnish Wikipedia (fi)

PR-score:
2,704th place
30,889
-27,203
AR-score:
937th place
50,781
+27
F-score:
532nd place
401
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...