nycgovparks.org

The New York City Department of Parks and Recreation, also called the Parks Department or NYC Parks, is the department of the government of New York City responsible for maintaining the city's parks system, preserving and maintaining the ecological diversity of the city's natural areas, and furnishing recreational opportunities for city's residents and visitors. More information...

Multilingual Wikipedia

In June 2020 the website nycgovparks.org was on the 3,946th 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 3,260th place in June 2020. From Wikipedians' point of view, "nycgovparks.org" is the 4,309th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before khronos.org and after ceskenoviny.cz in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
3,946th place
8,401,307
-343,370
AR-score:
4,309th place
1,090,522
+2,685
F-score:
3,260th place
4,321
+51

English Wikipedia (en)

PR-score:
2,371st place
7,441,180
-67,404
AR-score:
2,359th place
847,012
+257
F-score:
1,466th place
3,314
+32

German Wikipedia (de)

PR-score:
7,796th place
209,248
+1,376
AR-score:
5,464th place
51,087
-172
F-score:
7,176th place
77
0

Italian Wikipedia (it)

PR-score:
4,933rd place
136,317
-152,614
AR-score:
6,532nd place
23,061
+191
F-score:
4,369th place
87
0

French Wikipedia (fr)

PR-score:
9,155th place
122,562
-58,963
AR-score:
5,528th place
42,970
+1,184
F-score:
5,310th place
133
+11

Russian Wikipedia (ru)

PR-score:
17,551st place
96,921
-17,631
AR-score:
11,453rd place
15,238
+154
F-score:
6,020th place
112
+5

Chinese Wikipedia (zh)

PR-score:
11,067th place
69,987
+23,005
AR-score:
7,208th place
9,374
+728
F-score:
3,655th place
90
+1
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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...