naco.org

The National Association of Counties is an organization that represents county governments in the United States. It is the only national organization that represents county governments in the United States. More information...

Multilingual Wikipedia

In June 2020 the website naco.org was on the 1,119th 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 21st place in June 2020. From Wikipedians' point of view, "naco.org" is the 371st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before weebly.com and after fordham.edu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
1,119th place
32,623,070
-2,291,641
AR-score:
371st place
12,131,644
+325,063
F-score:
21st place
422,110
+9,978

English Wikipedia (en)

PR-score:
724th place
27,938,894
-1,619,128
AR-score:
504th place
4,234,937
-1,316
F-score:
840th place
5,714
-1

Spanish Wikipedia (es)

PR-score:
1,129th place
2,140,733
-308,292
AR-score:
75th place
3,439,463
+4,708
F-score:
4th place
391,142
-16

Simple English Wikipedia (simple)

PR-score:
34th place
654,505
-197,901
AR-score:
60th place
216,617
+6,549
F-score:
13th place
1,850
+66

Turkish Wikipedia (tr)

PR-score:
415th place
360,216
-80,321
AR-score:
36th place
1,027,660
+1,962
F-score:
24th place
4,302
-1

German Wikipedia (de)

PR-score:
7,460th place
220,055
-6,799
AR-score:
603rd place
546,538
+223
F-score:
539th place
1,284
0

Tatar Wikipedia (tt)

PR-score:
6th place
201,130
+201,130
AR-score:
8th place
306,630
+306,630
F-score:
4th place
9,201
+9,201

Portuguese Wikipedia (pt)

PR-score:
4,925th place
141,636
-41,636
AR-score:
208th place
634,782
+509
F-score:
157th place
3,294
+694
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...