Six data points on why official crime statistics miss what's actually happening, and a catch: the reporting gap is worst exactly where the most people live
The Crime Reporting Gap Dataset & Dashboard, DT Linux
The Crime Reporting Gap Dataset & Dashboard
An interactive companion to DT Linux's briefing on why official crime statistics miss what's actually happening: a federal reporting system collapse, uneven state compliance, low victim reporting in cities, and two large categories of crime that standard indices don't count.
Filter by case
This report's three reporting gaps
How each case compares
What's in this dataset, by composition
How the nation's roughly 18,000 police agencies reported in 2022
A genuine part-to-whole composition of every agency's 2022 federal submission status, the real data behind case one. This is the one place in this dataset where the numbers are shares of a single total; every other comparison in this dashboard is an independent-category comparison and stays a bar chart on purpose.
Dataset schema
| Field | Description | Example |
|---|---|---|
| case_name | The reporting scenario this row describes | "Sexual assault reporting in cities" |
| tier | This report's own mechanism categorization, not a severity ranking | "The silence gap" |
| key_metric | The headline sourced figure for this case | "13% urban reporting rate" |
| source | Citation for the key metric | "Bureau of Justice Statistics" |
| last_verified | Date the figure was last checked against its original source | "2026-09-02" |
About this dataset
How this data was collected
Every figure behind this dataset comes from a federal statistical agency, a congressional research report, or a large-sample industry survey: the FBI's Uniform Crime Reporting and NIBRS submission records, the Bureau of Justice Statistics and its National Crime Victimization Survey, the National Retail Federation, and the FBI's Internet Crime Complaint Center. DT Linux's research process cross-references each figure against its original publication; this report does not involve DT Linux collecting crime data itself.
Data handling and compliance
Built entirely from publicly published government statistics and industry survey data, never from personal data on identifiable individuals collected by DT Linux. Full practices in our privacy policy.
API and pipeline access
Want a compliance or reporting-gap dataset like this refreshed on a schedule, or piped into your own systems? DT Linux builds custom data pipelines and integration work per client; there is no self-serve API today, so delivery is handled directly by our team. Get in touch.
More from the DT Linux data store
Want this kind of compliance or reporting-gap tracking built for your own sector?
DT Linux designs and maintains custom data-quality, compliance, and fraud-monitoring dashboards like this one for organizations that need to know how complete and current their own numbers really are. Get in touch if you need deeper or more advanced data behind this report.