Levendale - human settlement in United Kingdom. Article "Levendale" in English Wikipedia has 14.2 points for quality (as of August 1, 2024). The article contains 2 references and 2 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Levendale", its content was written by 32 registered users of English Wikipedia and edited by 32 registered Wikipedia users in all languages.
The article is cited 6 times in English Wikipedia and cited 6 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | English: #872776 07.2008 |
Global: #1426890 07.2008 |
| Best Rank | English: #55716 06.2006 |
Global: #129084 10.2004 |
On 19 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: assassination of John F. Kennedy, Adolescence, Elon Musk, Gal Gadot, John F. Kennedy, Incel, Sunita Williams, deaths in 2025, ChatGPT, March 19.
In English Wikipedia the most popular articles on that day were: Sunita Williams, Adolescence (TV series), Capri, Deepak Pandya, Stephen Graham, Elon Musk, Deaths in 2025, Felicia Pearson, Karoline Leavitt, Gavin Casalegno.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
