General Staff: Russia has lost 1,312,960 troops in Ukraine since Feb. 24, 2022

The Kyiv Independent

The Kyiv Independent

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April 14, 2026

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75

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lean left
General Staff: Russia has lost 1,312,960 troops in Ukraine since Feb. 24, 2022

Russia has lost 1,312,960 troops in Ukraine since the beginning of its full-scale invasion on Feb. 24, 2022, the General Staff of the Armed Forces of Ukraine reported on April 14.The number includes 820 casualties that Russian forces suffered over the past day.According to the report, Russia has also lost 11,863 tanks, 24,389 armored combat vehicles, 89,300 vehicles and fuel tanks, 39,953 artillery systems, 1,732 multiple launch rocket systems, 1,346 air defense systems, 435 aircraft, 350 helicopters, 237,853 drones, 4,517 cruise missiles, 33 ships and boats, and two submarines. Ukraine's General Staff does not reveal its own losses during the full-scale invasion, citing operational secrecy.While Ukrainian officials rarely disclose figures, President Volodymyr Zelensky told France TV on Feb. 4 that at least 55,000 Ukrainian soldiers have been killed in action since the beginning of the full-scale war, in addition to many more classified as missing in action (MIA).The intensity of Russian drones and fighting has made it difficult for Ukraine to retrieve the bodies of fallen soldiers, which are needed for DNA confirmation.Independent Western think-tank reports agree that the Russian casualties significantly surpass Ukraine's losses, with the Center for Strategic and International Studies (CSIS) estimating the ratio to be "roughly 2.5:1 or 2:1."A January 2026 CSIS report said Ukraine has likely suffered between 500,000 and 600,000 casualties from February 2022 to December 2025, of which between 100,000 and 140,000 are thought to be killed in action (KIA).

Narrative Intelligence Brief

This article was published by The Kyiv Independent, a source frequently categorized with a lean left bias based in Ukraine. Our narrative intelligence engine continuously monitors coverage from this outlet to track framing, bias, and rhetorical patterns. Our initial algorithmic scan of this specific piece did not flag high-confidence rhetorical techniques, suggesting a generally straightforward reporting style or neutral framing. By understanding the editorial perspective of The Kyiv Independent, readers can better contextualize the information presented and compare it across our broader media matrix to find the real narrative.

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Analysis Methodology
This narrative analysis was generated using the CoDataLab Global Intelligence Engine. Our proprietary AI scans thousands of cross-border sources to identify sentiment patterns, framing techniques, and potential media bias. While AI provides the data-driven foundation, our objective is to empower readers with additional context beyond the standard headline.The content displayed above is a structured summary designed for rapid information processing. For the full original report, please visit the source outlet.

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