crime
crime
* based on official police data
Safety Is Your Right
Under the Human Rights Act 1998, personal security is a legal expectation in the UK; for visitors this extends beyond a single address to the streets, transport links, and surrounding areas where they spend time. In London, neighbourhood boundaries can be broad and internally diverse, meaning that conditions may differ significantly within the same area. This platform uses official police data published under the Open Government Licence (OGL v3.0) and processes it in line with the Data Protection Act 2018 to provide a structured, data-driven view of recorded crime at a more granular level, helping users compare areas when considering where to live, stay or walk.
Understanding Safety Across London Through Data
This independent analytical project provides a high-resolution view of street-level crime across London using official UK Police data published under the Open Government Licence (OGL v3.0). London’s crime patterns are highly uneven and often vary significantly even between nearby streets. The goal of this platform is to make those spatial differences visible and comparable through a consistent analytical framework.
While official police datasets are transparent and valuable, their public presentation is typically aggregated at borough or administrative levels, or shown as anonymised point data without spatial context. Such formats make it difficult to assess how crime varies within smaller areas or how exposure changes from one street to another. This project addresses those limitations by applying a uniform spatial model focused on street-level distribution and comparability across the city.
Why Existing Police Maps Are Not Enough
Official crime maps are not designed for fine-grained spatial analysis. Large administrative areas can mask internal variation, while smaller but high-intensity zones may appear indistinguishable when only total counts are shown. In addition, normalisation by population alone does not reflect exposure for pedestrians, commuters, or visitors moving through space.
This project focuses on street-level exposure by integrating anonymised police incidents into a consistent spatial grid and applying severity-based weighting. The result is a comparative view of where recorded crime concentrates at a local scale, rather than relying solely on aggregated administrative statistics.
Local Crime Level: A 500×500 m Analytical Grid
London is divided into uniform 500×500-metre Grid Blocks. Within each block, recorded incidents are aggregated and weighted by severity to produce a Local Crime Level — a density-based indicator reflecting the relative concentration of street-level crime.
The model includes offences most relevant to public-space exposure, such as theft, robbery, assault, knife-related incidents, drug-related street offences, and similar categories. Each offence type is assigned a severity coefficient (1–10) based on an independent analytical model reflecting the relative seriousness of consequences. These coefficients are not official ratings but author-defined parameters used to introduce a severity dimension into the analysis.
Normalising incident counts by surface area allows meaningful comparison between locations of different sizes. This approach reveals spatial differences that are not visible in borough-level statistics. In central London, for example, adjacent grid blocks can exhibit markedly different Local Crime Level values, reflecting concentrated patterns of recorded incidents at a very local scale.
How to Use the Map
The interactive map allows users to explore spatial patterns of crime across London. Each grid block can be selected to view underlying police-recorded incident counts. Filters enable users to isolate specific categories of crime and observe how different offence types are distributed across the city. At higher zoom levels, anonymised incident points become visible for additional context.
Hotel markers are included for spatial reference only; selecting a marker opens the hotel’s official website. The map does not label any location as safe or unsafe — it provides a comparative analytical view of recorded crime distribution to support independent interpretation.
Transparent, Lawful, Independent
All data is sourced from official UK police open datasets (Metropolitan Police and Home Office / ONS) published under OGL v3.0. Only records with usable spatial coordinates are included; categories with restricted or anonymised locations are excluded. No private surveillance or commercial tracking data is used.
The methodology — including crime category selection, severity weighting, spatial grid construction, normalisation and aggregation — is documented in detail on the Legal & Methodology page. Data handling follows the Data Protection Act 2018 and relevant guidance on the use of public sector data.
Comprehensive Disclaimer
This platform visualises historical police records and does not provide real-time monitoring, predictions, or guarantees of safety. Local Crime Level values are comparative indicators and must not be interpreted as absolute measures of risk. Lower values do not guarantee safety, and higher values do not imply that incidents will occur.
The map is intended as an analytical tool to support spatial awareness and comparative analysis. Users remain responsible for their own decisions regarding movement, accommodation, and travel. It should be used alongside other sources of information and local context, not as a substitute for them.