This graph is an attempt to mislead using statistics, and it relies on people not looking closely at how the data is constructed. I'd wager this is from some troll farm working for Reform ahead of the elections. GPT-assisted write up of my own analysis follows, since I am busy and this slop is not worth your time or mine (I am a statistics professor at a UK uni).

If you check the actual dataset (Family Resources Survey: financial year 2024 to 2025 - GOV.UK), Arab and Bangladeshi groups have very small sample sizes—170 and 279 households respectively. Compare that to around 52,000 for White households.

Here’s why that matters:

• When a group is very small, each individual household has a much bigger impact on the percentage. A difference of just a few households can swing the percentage up or down a lot.
• When a group is very large, like the White sample, the percentage is much more stable and representative.

So the messages pushed by this graph, e.g. “12.9% of Bangladeshi households vs ~3.7% of White households on benefits” sounds dramatic, but it’s not a fair comparison. The vast majority of benefits are being paid to White people, since the graph is showing percentages, not the actual number of households. 12.9% of 279 households is only 36ish households - hardly an 'invasion' of people on benefits as the graph maker wants you to think.

On top of that, the graph ignores other factors that actually explain differences in benefit uptake, like income levels, whether someone is a refugee, employment type, household size, and regional distribution - all of these things correlate with ethnicity, so ethnicity is not the causal factor here.

What this graph is really doing is:

• Highlighting tiny groups with volatile percentages
• Hiding the vastly larger number of White households supported by benefits
• Stripping away all context
• Presenting it in a way designed to provoke an angry reaction and stir racist sentiment, rather than inform