muslimaid.org

Muslim Aid is a UK based Islamic charity NGO. It was originally run by former senior staff of the Muslim Council of Britain, and is now run by a new board of seven members which took office early 2018 and is chaired by independent management consultant Iftikhar Awan, a former trustee of Islamic Relief. It is a member of the Muslim Charities Forum, an umbrella organisation for UK based Muslim-led charities whose primary goal is to provide humanitarian aid and assistance to the poorest and most vulnerable people around the world. It is also an associate member of Bond, the UK membership body for non-governmental organisations and a member of NCVO, National Council for Voluntary Organisations, an organisation with 11,000 members that champions the voluntary sector and volunteering. More information...

Multilingual Wikipedia

In June 2020 the website muslimaid.org was on the 672,833rd 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 281,294th place in June 2020. From Wikipedians' point of view, "muslimaid.org" is the 278,120th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before noctalis.com and after politykawsieci.pl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
672,833rd place
13,875
-6,316
AR-score:
278,120th place
8,035
+2
F-score:
281,294th place
20
0

English Wikipedia (en)

PR-score:
471,514th place
9,489
-6,752
AR-score:
159,800th place
6,581
+2
F-score:
127,936th place
17
0

Bengali Wikipedia (bn)

PR-score:
1,757th place
4,381
+436
AR-score:
3,052nd place
1,436
0
F-score:
13,682nd place
2
0

Tamil Wikipedia (ta)

PR-score:
37,357th place
4
0
AR-score:
34,181st place
17
0
F-score:
36,501st 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...