What the layers show
Crime is a group in the Network panel, for authorities and police forces with an account. It has two layers. Each small area is drawn as its own shape. A small area is a census LSOA, home to 1,000 to 3,000 people. Only one layer is on at a time.
- Crime level: how many crimes the police record in each small area a year. The colours compare it with all of England and Wales, from Low to Very high. You can switch to crimes per 1,000 residents.
- Crime trend: whether recorded crime there has gone up or down each year, on its own or against its council.
Pick the type of crime on the layer's options page (the › on its tile): all crime, which leaves out anti-social behaviour as it is not a crime, or one of the police's own groups, from burglary to shoplifting. Tap an area for its figures. A street's card shows the same for the small area it is in.
In an area check
The map's area check (a circle round any point) shows crime too. There it counts what the police recorded, not our estimates. Each neighbourhood the circle covers counts by how much of its ground is inside. ‘For its size’ compares the circle's crimes per square km with every neighbourhood in the council, and anti-social behaviour is counted on its own.
Where the figures come from
- Recorded crime: police.uk street-level data for England and Wales, every month for the last five years. We keep counts for each area and month. We do not keep any single crime, its date or anyone involved.
- People and places: Census 2021 residents and the 2021 small-area boundaries (ONS), the English Indices of Deprivation 2019, and OpenStreetMap and NaPTAN for pubs, shops, takeaways, bus stops, car parks, schools and roads.
- Collisions: police-reported injury collisions (STATS19) and Auroute's street collision model, as a stand-in for how busy the roads and pavements are.
Why a count
Small areas are drawn to hold about the same number of people, so the number of crimes compares fairly from one area to the next. Per 1,000 residents is there too. It makes a town centre look extreme, because few people live there and many pass through. The count says plainly that a lot happens there.
How the count is steadied
A small area's count jumps about. Twelve after five is usually luck. So the figure leans on three things.
- What similar places have: areas with the same kind of people, deprivation, shops, pubs, roads and police force.
- What the eight nearest neighbours have.
- The area's own record. The longer and busier it is, the more it counts.
How much weight each part gets is not guessed. Each run tries the settings on past years and keeps the ones that predicted the following year best.
Centres, and areas left blank
Town centres have few residents and many visitors, so a figure per resident overstates them. They are marked on the card. Some forces' data is missing from police.uk. Greater Manchester Police has published almost nothing for years, so about 1,700 areas there are left blank rather than shown as safe. Tap a street there and its card says why.
Rising or falling
Each area's monthly counts give a trend, allowing for the time of year. A small area's trend is mostly noise, so it is pulled toward its council's. Against its council is the area's change a year minus the council's. The gaps are small: nine areas in ten are within about 1.5% a year of their council. So the colours go from the slowest areas to the fastest. Pale means it could be chance. The council is the local authority the area sits in.
What we left out
We built a forecast for the next one, two and three years. We tested it on the last three years, using only what was known at the time. For all crime and seven of the types it came out the same as this year's figure. For the other seven it found next year's busiest areas no better than this year's figure did. So the map does not show it. If a later version does better, it will come back.
How it was tested
Each run repeats all of this as it would have been one, two and three years ago, using only what was known then, and scores it on what happened next. It reports three checks.
- The hotspot hit rate: the share of the following year's recorded crime that fell in the 5% of areas it ranked highest. Chance is 5%.
- Whether the range holds: the real figure should fall inside the 90% range about nine times in ten.
- Whether trends last: do areas that were rising faster than their council go on doing so the year after?
The run on 13 October 2026: the 5% of areas ranked highest held about a quarter of the next year's crime (chance is 5%). For all crime, last year's count did as well. The steadying helps most for the rarer types, such as weapons and bicycle theft. The range held the real figure about nine times in ten. Areas rising faster than their council kept doing so the next year about half the time (49% for all crime). So read Crime trend as what has happened, not what comes next.
One more limit. The figures begin in September 2021, while recorded crime was still recovering from the lockdowns in several categories. A rise in the early years can be that recovery and not a trend.
Why the level matters most
Crime is concentrated. A small number of places carry much of it, year after year. Researchers call this the law of crime concentration. It is why an area's level is the best guide to its next year, and why the trend is shown beside it as what has happened, not as a forecast.
What it cannot do
- It is recorded crime. What is recorded depends on what people report and where officers look. A rise can be more crime, more reporting or more policing.
- It can feed itself. Research (Lum and Isaac, 2016) has shown that sending patrols where a model trained on police records says to go can keep confirming the model. Use it to plan prevention and to ask questions, and check it against what officers and residents know.
- It cannot forecast a single crime. It is about places, never people.
- It does not know about events, new developments, road closures, or changes in policing or in how crime is recorded.
- Small numbers jump about. The range shows by how much.
- It covers England and Wales. Scotland and Northern Ireland are left blank.
Using it
For a traffic engineer, a rising area is a prompt to look at lighting, visibility, parking, walking and cycling routes and bus stops there. For a community safety team, it is a prompt to look at prevention. For policing or enforcement, a data protection impact assessment and an equality impact assessment come first, and a person decides anything that affects a person.
How often it changes
police.uk publishes each month about six weeks late. Every new month re-runs all of this, including the tests.
Sources
- Recorded crime: police.uk. Open Government Licence v3.0.
- Population, small-area boundaries and whether an area is urban or rural: Census 2021 and the 2021 Rural Urban Classification. Source: Office for National Statistics licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2026.
- Deprivation: English Indices of Deprivation 2019, MHCLG. Open Government Licence v3.0.
- Places and roads: OpenStreetMap contributors (Open Database Licence), NaPTAN and STATS19 (Department for Transport, Open Government Licence v3.0).
- Research: Weisburd (2015) on crime concentration at places; the RAND Corporation's 2013 review of predictive policing; Mohler and others (2015) on trials of predictive hotspot policing; Lum and Isaac (2016) on feedback in predictive policing.