The 203x Dispersal Gap

Two constituencies. Same country. Same asylum system. Radically different outcomes.

Middlesbrough: 101.7 asylum seekers per 10,000 population. Index of Multiple Deprivation rank 5 out of 317 local authorities — the fifth most deprived in England. Service Pressure score 78 out of 100.

Wokingham: 0.5 asylum seekers per 10,000 population. IMD rank 311. Service Pressure score 14.

The ratio is 203 to 1. For every asylum seeker housed per capita in Wokingham, Middlesbrough houses two hundred and three.

This is not an argument about whether the UK should accept asylum seekers. It is an observation about where they end up — and what the receiving areas look like before they arrive.

The Top 10

The ten local authority areas housing the most asylum seekers per capita share a profile so consistent it looks designed. It was not designed. It is the emergent result of a dispersal system that relies on available housing stock — and available housing stock is cheapest where deprivation is highest.

Every single one of the top 10 dispersal areas falls within the most deprived 20% of local authorities in England. The average IMD rank is 25 out of 317. These are not borderline cases — they are areas at the extreme end of deprivation on every measure the Government publishes.

Stoke-on-Trent. Rochdale. Middlesbrough. Hartlepool. Oldham. Bradford. Coventry. Blackburn. Bolton. Walsall. The names repeat across every dataset that tracks where public services are under pressure: highest unemployment, highest food bank usage, highest crime rates, longest NHS waits. Now add asylum dispersal to the list.

The Mechanism

How does this happen? The dispersal system, operated under Home Office contracts with private providers (principally Serco, Mears, and Clearsprings), procures accommodation based on availability and cost. Providers source properties where they are cheapest. Properties are cheapest in areas where demand is lowest. Demand is lowest where deprivation is highest — because people with choices choose not to live there.

The result is a system that, without any explicit policy intention, concentrates asylum seekers in the areas least equipped to absorb additional demand on housing, healthcare, education, and social services.

This is not a conspiracy. It is a procurement logic that optimises for cost and ignores capacity. The accommodation providers are fulfilling their contracts rationally. The Home Office is meeting its legal obligation to house asylum seekers. The local authorities bearing the consequences have no formal say in the numbers they receive.

Dispersal policy concentrates asylum seekers in areas least equipped to absorb them. This isn't opinion — it's what the data shows when you map dispersal numbers against Service Pressure scores.

What Service Pressure Reveals

The Polis Service Pressure score was not built to measure asylum dispersal. It was built to measure the baseline weight on public services in every constituency — unemployment, food banks, insolvency, crime, NHS waits — before any additional demand is applied.

That is precisely what makes it useful here. When someone proposes dispersing 200 asylum seekers to Middlesbrough, Service Pressure tells you what Middlesbrough's public services already look like. A score of 78 means the constituency is under more pressure than 95% of the country. The GP surgeries, the A&E departments, the housing waiting lists, the school places — all already strained before a single additional person arrives.

When someone proposes dispersing 200 asylum seekers to Wokingham, Service Pressure tells you something different. A score of 14 means the constituency has significant headroom. The services exist. The capacity is there. The accommodation would cost more — but the system would absorb the demand without the same friction.

The question is not whether asylum seekers should be housed. The legal obligation is clear. The question is whether a system that houses them overwhelmingly in areas scoring 60, 70, 80 on Service Pressure — while areas scoring 10, 15, 20 absorb almost none — can be described as fair, efficient, or sustainable.

The Political Geography

The dispersal pattern maps almost perfectly onto the political geography of safe Labour seats. The top dispersal areas are overwhelmingly Labour-held constituencies with large majorities. These are seats where the electoral consequences of local dissatisfaction are muted by the safety of the majority — where residents can be frustrated without the frustration translating into competitive electoral pressure.

This creates a feedback problem. The areas absorbing the most dispersal generate the least political signal about it — because they are the areas where online engagement is lowest, where media attention is scarcest, and where electoral competition is weakest. The areas absorbing the least dispersal generate the most signal — because they have the digital infrastructure, the media attention, and the competitive margins to amplify any issue they choose.

The 203x gap is not just a number about housing. It is a number about whose problems get heard.

What Would Fair Look Like

A dispersal system weighted by Service Pressure — one that directed asylum seekers preferentially to areas with lower scores and greater spare capacity — would look radically different from the current system. The affluent commuter belts of Surrey, Berkshire, and Buckinghamshire would absorb more. The post-industrial towns of the North and Midlands would absorb less.

Whether this is politically achievable is a separate question. Whether it is what the data supports is not. The numbers are clear. The areas with the most capacity are absorbing the least demand. The areas with the least capacity are absorbing the most. The ratio is 203 to 1.

That number should be part of any honest conversation about asylum dispersal in Britain. Now it is.

Constituency-level Service Pressure scores and dispersal data are available on the Polis dashboard. All underlying data sources are public.