Minister of State for Policies Related to Children, Measures for Declining Birthrate, Youth Empowerment, and Gender Equality - cabinet position in Japan. Article “内閣府特命担当大臣（こども政策 少子化対策 若者活躍 男女共同参画担当）” in Japanese Wikipedia has 29.1 points for quality (as of July 1, 2025). The article contains 14 references and 14 sections.
Since the creation of article “内閣府特命担当大臣（こども政策 少子化対策 若者活躍 男女共同参画担当）”, its content was written by 74 registered users of Japanese Wikipedia and edited by 74 registered Wikipedia users in all languages.
The article is cited 346 times in Japanese Wikipedia and cited 346 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 | Japanese: #24973 08.2022 |
Global: #295134 08.2022 |
On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.
In Japanese Wikipedia the most popular articles on that day were: 堂上隼人, 濱田太貴, 辰見鴻之介, 中村獅童 (2代目), 松浦慶斗, 井上広大, 知野直人, 平沼翔太, 佐藤直樹 (野球), 濱将乃介.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(25.47+5.05+50+45.16+19.87)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
