Ealing in the London snapshot
4,062 records were mapped to Ealing, representing 4.0% of the 102,295 mapped London records.
This share is not adjusted for population, visitors or area size and does not measure personal risk.
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July 2026 · Shoplifting. Darker green means a higher count, not a safety rating.
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Not available—not zero. Scale adjusts to the selected category and month.
Police.uk recorded cases, not a safety score. Metropolitan / City data; British Transport Police records missing. Sources & limitations
July 2026 London borough
Whole-authority total, not a measure of personal risk.
Available after a completed import.
A closer look
July 2026 · all incident categories in this authority, compared with the same London snapshot. Choose any borough to request its own analysis.
4,062 records were mapped to Ealing, representing 4.0% of the 102,295 mapped London records.
This share is not adjusted for population, visitors or area size and does not measure personal risk.
Violence and sexual offences (1,147), Anti-social behaviour (1,136), Vehicle crime (372). Their combined share of the borough’s mapped total is 65.4%.
Category composition adds detail to a single total; it is not a severity or safety score.
Violence and sexual offences accounts for 1,147 records, 28.2% of this borough’s mapped total.
Published crime and anti-social behaviour records describe reporting and coverage, not the likelihood of experiencing an incident.
Explore this categoryAnti-social behaviour makes up 28.0% of Ealing’s mapped records (1,136 of 4,062), compared with 22.7% across London—5.2 percentage points higher.
This compares shares within recorded incidents, not population-based rates. A different share does not establish a cause or a difference in personal risk.
Explore this categoryTheft from the person makes up 2.6% of Ealing’s mapped records (105 of 4,062), compared with 5.5% across London—3.0 percentage points lower.
This compares shares within recorded incidents, not population-based rates. A different share does not establish a cause or a difference in personal risk.
Explore this categoryVehicle crime makes up 9.2% of Ealing’s mapped records (372 of 4,062), compared with 7.3% across London—1.8 percentage points higher.
This compares shares within recorded incidents, not population-based rates. A different share does not establish a cause or a difference in personal risk.
Explore this categorySelected by DeepSeek V4.1 Flash and saved for this borough and snapshot. Published 14/09/2026, 08:51:36 UK time. Repeat requests reuse this result.
British Transport Police records are missing from this snapshot. Borough insights use recorded counts, not population-adjusted rates, and cannot identify the safest places or explain the causes of incidents. No month-on-month trend is inferred.
The monthly read
All London · all incident categories · July 2026. These findings describe the whole monthly snapshot, not just the borough or category selected on the map.
27,389 records fall in this category: 26.8% of the 102,295 mapped London records.
This is a share of published crime and anti-social behaviour records, not the likelihood of experiencing an incident.
Explore this categoryViolence and sexual offences (27,389), Anti-social behaviour (23,255), Shoplifting (9,488) together account for 58.8% of mapped London records.
The category mix adds detail that a single all-incidents total cannot show.
The five authorities with the largest mapped counts—Westminster (7,208), Southwark (4,843), Lambeth (4,802), Newham (4,497), Tower Hamlets (4,485)—account for 25.3% of the London total.
These are raw counts. Population, visitors, area size and reporting differences are not accounted for, so this is not a ranking of personal risk.
Westminster has 1,268 violence and sexual offences records, 4.6% of the London category total (27,389). This is the largest authority count for this category.
Concentration describes where published records are mapped; it does not establish the cause or a per-person incident rate.
Explore this categoryWestminster has 902 shoplifting records, 9.5% of the London category total (9,488). This is the largest authority count for this category.
Concentration describes where published records are mapped; it does not establish the cause or a per-person incident rate.
Explore this categoryTheft from the person makes up 15.1% of Southwark’s mapped records (733 of 4,843), compared with 5.5% across London—a difference of 9.6 percentage points.
This compares category shares within recorded incidents, not population-based rates. A larger share does not mean a greater personal risk.
Explore this categoryCoverage limitation: British Transport Police records are missing from this snapshot. 49 source records lacked usable geography and could not be assigned to a borough. These are recorded counts, not population-adjusted rates or safety scores. No month-on-month trend is inferred.
Selected by DeepSeek V4.1 Flash from validated D1 borough summaries. Figures, comparisons and wording are calculated from the evidence, with no model-invented statistics. Published 13/09/2026, 00:37:23 UK time. Police.uk source data.
Source: Police.uk monthly crime and ASB CSV exports. Check known source gaps. The import requests Metropolitan Police, City of London Police and British Transport Police for the same published month. Missing core Met or City files prevent publication; a missing BTP file is explicitly disclosed.
Records are assigned using their published LSOA name, which identifies the borough of their anonymised map point. This may differ from official force-wide crime totals. Non-empty duplicate crime IDs are counted once. ASB rows without IDs are preserved as separate incidents, even when their visible fields match.
Import audit: 102,295 records assigned to London; 49 records from the requested force exports lacked usable LSOA geography; 35 had non-London LSOA names; 1 duplicate crime IDs excluded. Unlocated records cannot be allocated to a borough and are not part of the mapped total.
Counts include anti-social behaviour unless a narrower category is selected. They are not adjusted for population, area size, visitors or reporting differences and must not be used as a safety ranking. Missing data is never shown as zero. Police.uk notes long-running gaps in BTP anti-social behaviour data.
Borough map context: GLA / Ordnance Survey Open Data, published 2017 boundary layer. Contains OS data © Crown copyright and database right 2017, Open Government Licence v3.0. Boundaries are simplified for display; counts use published LSOA geography, not these display polygons.
Refreshed monthly on the 5th at 07:00 Europe/London using the latest available source month. DeepSeek V4.1 Flash starts the import and selects evidence-backed insights after completion; deterministic code calculates all numbers. Summary data and selected findings are retained in D1, not individual incidents. This snapshot completed 13/09/2026, 00:06:33 UK time.
Explore recorded incidents by London borough, reporting month and category. The map and accessible table help you examine the same published counts without treating them as a safety score.
Use the map as one part of area research alongside visits, transport, housing and your everyday journeys. Compare the same category and period and check whether all expected police-force records are present.
Police.uk records describe reported and recorded incidents, not every crime that occurred. Larger populations, visitor numbers and reporting patterns affect counts. Street locations are anonymised, and a higher borough count is not a personal risk assessment.
The shading represents the selected recorded count, not a safety rating. Borough size, population, visitors and reporting coverage differ, so a count alone cannot establish personal risk.
No. It uses published monthly records and the reporting period displayed on the page. It does not show incidents as they happen.
Publication and import timing or source coverage can leave a period incomplete. Read the coverage notice; an unavailable figure must not be interpreted as zero incidents.
Police.uk street-level locations are anonymised. The map cannot identify victims, households or the precise location of an incident.