Statista: The Countries Sending the Most Military Aid to Ukraine

The Countries Sending the Most Military Aid to Ukraine

Looking at pledges of [military aid to Ukraine](https://www.statista.com/topics/9087/russia-ukraine-war-2022/) between Jan. 24, 2022 and Jan. 15, 2023, the U.S. government has committed to providing more financial assistance for military purposes than any other country - and as this infographic using data from the [Ukraine Support Tracker by the Kiel Institute for the World Economy](https://www.ifw-kiel.de/topics/war-against-ukraine/ukraine-support-tracker/), the gap to other countries is huge.

Over the analyzed period, the United States committed a total of $46.6 billion (excluding the value of provided weapons and equipment). the second-ranked country, the United Kingdom, pledged just $5.1 billion. In relative terms, however, both military aid commitments amount to approximately 0.2 percent of each country's GDP. Looking at this metric, Ukraine's smaller neighbors have, relatively, [contributed more to the war effort](https://www.statista.com/topics/10515/western-military-aid-to-ukraine/): For example Estonia (military aid at 1.1 percent of GDP) or Latvia (0.9 percent). Even when military, financial and humanitarian aid delivered or pledged by the U.S. is added up, this only amounts to 0.4 percent the country's GDP.

The Kiel Institute for the World Economy's Ukraine Support Tracker systematically records the value of aid pledged to Ukraine by the governments of 40 countries since early 2022. This includes military, financial and humanitarian commitments.
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That chart looks outsized for the US, almost entirely because it is. That said, the Times has an excellent article on how this war has changed forever the dynamic of Europe, NATO, the military there, attitudes, and likely the future.

I hope this link works because supposedly I can “gift” it so it should be available to non-subscribers as well, so here goes:

A quite thoughtful analysis detailing the many changes Putin has wrought, almost none of them what he would expect or want.

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Everyone, here is a shortened url for Ron’s article from the NYT, and this should allow you to see the whole thing. Just bang on this headline - it’s already shortened through tinyurl:

Gonna put the kettle on for some calming tea. The first sip, I begin reading this article.

Hat tip to Ron: thanks for pointing out the USA bar on the graph.

I recently read a book, “A Field Guide to Lies” by Daniel J. Levitin and your catch here fits perfectly into an example of mis-using stats.

What’s your opinion about the Statista website, People? Or Visual Capitalist?

Both use scads of data represented in visual graphics. Are these two websites prone to mis-representing the data?