Article “Avro Canada Project 1794” in Ukrainian Wikipedia has 44.3 points for quality (as of July 1, 2025). The article contains 27 references and 11 sections.
Since the creation of article “Avro Canada Project 1794”, its content was written by 7 registered users of Ukrainian Wikipedia and edited by 7 registered Wikipedia users in all languages.
The article is cited 7 times in Ukrainian Wikipedia and cited 7 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Ukrainian: #136886 12.2023 |
Global: #5073444 12.2023 |
| Best Rank | Ukrainian: #2399 02.2024 |
Global: #486699 02.2024 |
On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.
In Ukrainian Wikipedia the most popular articles on that day were: Одна битва за іншою, Шон Пенн, Горила, Містер Ніхто проти Путіна, Грішники (фільм, 2025), Оскар (98-ма церемонія вручення), Гамнет (фільм), Майкл Б. Джордан, Бука Сука Дімка, Джессі Баклі.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(30.64+26.47+27.78+47.83+89.03)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
