essex-countynj.org

Essex County is a county in the northeastern part of New Jersey. As of the 2019 Census estimate, the county's population was 798,975, making it the state's third-most populous county, an increase of 3.1% from the 2010 United States Census, when its population was enumerated at 783,969, in turn a decrease of 1.2% from the 793,633 enumerated in the 2000 census. In 2010, the county dropped down to third-largest, behind Middlesex County, and was one of only two counties in the state to see a decline between 2000 and 2010. Its county seat is Newark, the most populous city in the state. It is part of the New York Metropolitan Area. More information...

Multilingual Wikipedia

In June 2020 the website essex-countynj.org was on the 164,562nd 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 92,252nd place in June 2020. From Wikipedians' point of view, "essex-countynj.org" is the 97,834th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before theater-kr-mg.de and after brooklyn-living.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
164,562nd place
106,236
-8,183
AR-score:
97,834th place
27,836
+46
F-score:
92,252nd place
81
0

English Wikipedia (en)

PR-score:
92,221st place
104,009
-8,271
AR-score:
47,243rd place
27,436
+46
F-score:
37,822nd place
77
0

Portuguese Wikipedia (pt)

PR-score:
93,273rd place
2,009
+196
AR-score:
114,715th place
277
0
F-score:
118,683rd place
1
0

Japanese Wikipedia (ja)

PR-score:
215,182nd place
158
-108
AR-score:
207,309th place
41
0
F-score:
116,407th place
2
0

Esperanto Wikipedia (eo)

PR-score:
14,424th place
58
0
AR-score:
18,653rd place
82
0
F-score:
14,795th 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...