city.nakatsugawa.gifu.jp

Nakatsugawa is a city located in Gifu, Japan. As of 2018, the city had an estimated population of 78,930, and a population density of 120 persons per km2 in 30,788 households The total area of the city was. More information...

Multilingual Wikipedia

In June 2020 the website city.nakatsugawa.gifu.jp was on the 47,994th 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 40,829th place in June 2020. From Wikipedians' point of view, "city.nakatsugawa.gifu.jp" is the 36,544th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before futurofuturo.com and after interior.gob.cl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
47,994th place
465,868
+24,156
AR-score:
36,544th place
90,466
+433
F-score:
40,829th place
223
0

Japanese Wikipedia (ja)

PR-score:
3,894th place
415,563
+33,022
AR-score:
2,745th place
49,305
+322
F-score:
2,805th place
180
0

English Wikipedia (en)

PR-score:
187,553rd place
41,941
-7,246
AR-score:
42,901st place
30,872
+60
F-score:
132,854th place
16
0

French Wikipedia (fr)

PR-score:
100,103rd place
5,675
+300
AR-score:
29,161st place
6,450
0
F-score:
78,137th place
5
0

Chinese Wikipedia (zh)

PR-score:
115,667th place
991
-276
AR-score:
102,835th place
225
+1
F-score:
54,636th place
3
0

Russian Wikipedia (ru)

PR-score:
237,120th place
600
-200
AR-score:
110,372nd place
900
0
F-score:
233,365th place
1
0

Thai Wikipedia (th)

PR-score:
24,169th place
516
+133
AR-score:
9,097th place
933
0
F-score:
12,275th place
3
0

Finnish Wikipedia (fi)

PR-score:
70,292nd place
158
-847
AR-score:
89,546th place
52
0
F-score:
14,621st place
9
0
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...