Wikipedia Language Editions by Article Edits 2025
About This Dataset
Wikipedia Language Editions by Article Edits 2025How the data is collected. Wikimedia sorts each saved change by the kind of account behind it, separating registered editors and unregistered ones, who are identified only by network address, from accounts flagged as bots. This chart adds the two human categories and counts only changes to encyclopedia articles, leaving out talk pages, user pages and other behind-the-scenes work.
Background. Nearly 250,000 people edited a Wikimedia project in the first half of 2025, at a rate of about 324 edits a minute worldwide. Software agents remain a large part of the record: bots made 31,563,306 further article edits in 2025, 25.1 percent of every change articles received.
Limits. An edit count says nothing about the size of a change, so a comma and a rewritten section weigh the same here. Some editions lean on automation far more than others, and the split between registered and unregistered editing is a matter of local policy: Portuguese Wikipedia recorded 5 anonymous article edits in the entire year, against 35.9 percent of Korean edits and 31.0 percent of Italian ones.
English took 37,298,196 article edits, 39.6 percent of the world total and more than the next eleven editions combined. German is second on 6,418,362 and French third on 6,169,435, both ahead of Spanish on 4,948,670 and Russian on 3,515,815. Reading and writing do not line up: Japanese is the second most-viewed edition but seventh here on 3,443,128 edits, which works out at 3,173 views for every human edit, against 2,293 for English. Of the twenty, Hebrew is the most heavily edited relative to its traffic: tenth on 1,374,161 edits but only 492 views for each of them.
Key Findings
Data Insights
Numbers, trends & sources behind this chart
Methodology & source
- Data source
- Wikimedia Foundation
- Coverage
- 20 entities · 2025 · 20 observations
- Measure
- Article edits by people in 2025
- Last updated
- 20 September 2026
- Compiled by
- The ANYSTAT team, from the source above
- Values are shown as reported by the source. Nothing is rescaled, rebased or converted — the only changes are thousand separators and decimals shown to two places.
- Entities are ranked highest-first on their value in 2025.
An article using this data
Data Sources & References
All external sources cited in this dataset
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