camara.gov.br

The Chamber of Representatives is a federal legislative body and the lower house of the National Congress of Brazil. The chamber comprises 513 representatives, who are elected by proportional representation to serve four-year terms. The current President of the Chamber is the Representative Rodrigo Maia, who was reelected on February 1, 2019. More information...

Multilingual Wikipedia

In June 2020 the website camara.gov.br was on the 7,799th 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 7,260th place in June 2020. From Wikipedians' point of view, "camara.gov.br" is the 6,675th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before governing.com and after mi.gov in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
7,799th place
3,923,816
-458,754
AR-score:
6,675th place
667,727
-5,098
F-score:
7,260th place
1,764
-3

Portuguese Wikipedia (pt)

PR-score:
249th place
3,377,967
-292,950
AR-score:
238th place
547,412
-836
F-score:
348th place
1,414
-4

English Wikipedia (en)

PR-score:
31,092nd place
381,683
-137,492
AR-score:
22,727th place
65,316
-4,479
F-score:
27,396th place
116
-1

Spanish Wikipedia (es)

PR-score:
32,610th place
45,086
-4,534
AR-score:
16,392nd place
12,328
+46
F-score:
9,582nd place
51
0

Japanese Wikipedia (ja)

PR-score:
40,540th place
22,977
+237
AR-score:
21,555th place
4,600
+32
F-score:
30,881st place
11
+1

Russian Wikipedia (ru)

PR-score:
54,730th place
22,058
-7,074
AR-score:
26,914th place
5,803
+15
F-score:
18,838th place
29
0

French Wikipedia (fr)

PR-score:
41,743rd place
20,669
+1,810
AR-score:
51,667th place
3,435
+83
F-score:
32,112th place
16
+1
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...