Eschwege district - former district in Hesse / Germany. Article "Landkreis Eschwege" in German Wikipedia has 47.2 points for quality (as of August 1, 2024). The article contains 19 references and 13 sections.
Since the creation of article "Landkreis Eschwege", its content was written by 26 registered users of German Wikipedia and edited by 26 registered Wikipedia users in all languages.
The article is cited 299 times in German Wikipedia and cited 299 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 | German: #109239 08.2020 |
Global: #1079141 08.2020 |
| Best Rank | German: #20603 12.2019 |
Global: #412625 12.2019 |
On 20 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Pope Francis, Elon Musk, Donald Trump, Zero Day, 2024–25 UEFA Champions League, killing of Gabby Petito, Kylian Mbappé, UEFA Champions League, ChatGPT, Volodymyr Zelenskyy.
In German Wikipedia the most popular articles on that day were: Alice Weidel, Anna Fischer, Tsavo-Menschenfresser, Liste der größten Auslegerbrücken, Heidi Reichinnek, Friedrich Merz, Gerhard Gundermann, Jan van Aken, Die Bestatterin, Franziskus (Papst).
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
