Scam Atlas — cleaned scam and fraud loss datasets
https://howscamswork.com/data/

One CSV per publisher, normalised to a common schema. Columns:
  source, series, country, year, coverage, fraud_type, scheme_slugs, dimension,
  slice, reports, victims, loss_local, currency, loss_usd, median_loss_local,
  median_loss_usd, accessed

fraud_type is the publisher's own label, never rewritten. scheme_slugs are our
mapping onto howscamswork.com scheme pages; see /methodology/ for what the mapping
does and does not claim. dimension is one of total, age, contact, payment, region;
rows with dimension "total" and rows with a dimension must never be summed together.

USD figures are converted at the IRS annual average rate for the year of the loss
(see exchange-rates.json). All losses are REPORTED losses and are a floor, not a total.

Datasets in this bundle:
  ftc.csv — Federal Trade Commission (US). 2022/2024. 387 rows. License: US Government work, public domain. Source: https://www.ftc.gov/reports/consumer-sentinel-network-data-book-2024
  cafc.csv — Canadian Anti-Fraud Centre / RCMP. 2021-01-02/2025-09-29. 3519 rows. License: Open Government Licence – Canada. Source: https://open.canada.ca/data/en/dataset/6a09c998-cddb-4a22-beff-4dca67ab892f
  ic3.csv — FBI Internet Crime Complaint Center (IC3). 2023/2025. 84 rows. License: US Government work, public domain. Source: https://www.ic3.gov/AnnualReport/Reports/2025_IC3Report.pdf
  scamwatch.csv — National Anti-Scam Centre (ACCC), Australia. 2021/2025. 60 rows. License: CC BY 4.0 (ACCC). Source: https://www.scamwatch.gov.au/research-and-resources/targeting-scams-report/targeting-scams-report-of-the-national-anti-scam-centre-on-scams-data-and-activity-2025 (hand-transcribed)
  ukfinance.csv — UK Finance. 2025/2025. 5 rows. License: © UK Finance; reproduced with attribution for non-commercial reference. Source: https://www.ukfinance.org.uk/news-and-insight/press-release/fraud-report-2026-press-release (hand-transcribed)

Generated 2026-09-06T16:58:26.107Z.
Cite the originating agency alongside Scam Atlas.