Brits want boat illegals sent back to France by 4-to-1 margin

New data by top pollster Redfield and Wilton Strategies has revealed that Brits support the idea of shipping Channel-crossing illegals back to France by a margin greater than 4-to-1.

36% of Brits “strongly support” sending the migrants back to France in addition to 28% who merely “support the idea”. That’s compared to tiny minorities of just 5% who strongly oppose the idea and 9% who oppose it.

Even 18-24 year olds, who often tend to take positions popular on the loony left and unpopular with the rest of the population, back the idea of returning the migrants on balance – with 36% either supporting or strongly supporting the policy compared to just 28% who think the illegals should be allowed to stay in the country after entering illegally.

Provisions from Priti Patel’s new Borders bill also seem to be overwhelmingly popular with the public, with 67% of Brits supporting plans to hit people traffickers with life sentences and criminalise those who facilitate the entry of asylum seekers. Just 10% either oppose or strongly oppose, and majorities who voted for every major party in 2019 back the idea.

It also shows public dissatisfaction with the overall levels of immigration in the UK, with 45% saying there is too much immigration and just 10% saying there isn’t enough. That figure includes 63% of Conservative supporters, highlighting the importance of tackling this issue for Boris Johnson’s future electoral prospects.

The issue of illegal immigration is set to become even more important in the coming months as the numbers flooding across the Channel continue to surge to unprecedented numbers. 957 migrants came to Britain across the Channel in the last two days as the total number for 2021 surpassed 10,000 – already outstripping the total number for 2020 in less than seven months.

Current forecasts from Foxhole analysts suggests that more than 23,000 illegals could enter the country this year, but accelerating numbers suggest it could still prove to be an underestimate.