Datasets:

ScanMyShadow
/

scam-fraud-statistics

 ---
 license: cc-by-4.0
+language:
+- en
+pretty_name: "Scam & Fraud Statistics: US, UK, Canada, Australia, India (2020-2025)"
+size_categories:
+- n<1K
+tags:
+- fraud
+- scams
+- cybercrime
+- finance
+- statistics
+- india
+- united-states
+- united-kingdom
+- canada
+- australia
+configs:
+- config_name: australia-scams-2025-national-anti-scam-centre
+  data_files:
+  - split: train
+    path: australia-scams-2025-national-anti-scam-centre-data.csv
+- config_name: average-loss-per-victim-by-scam-type-2025
+  data_files:
+  - split: train
+    path: average-loss-per-victim-by-scam-type-2025-data.csv
+- config_name: canada-fraud-2025-cafc-losses-and-top-scams
+  data_files:
+  - split: train
+    path: canada-fraud-2025-cafc-losses-and-top-scams.csv
+- config_name: fbi-ic3-2025-report-in-numbers
+  data_files:
+  - split: train
+    path: fbi-ic3-2025-report-in-numbers.csv
+- config_name: have-i-been-pwned-breaches-2024-2026
+  data_files:
+  - split: train
+    path: have-i-been-pwned-breaches-2024-2026-data.csv
+- config_name: how-scams-start-contact-methods-2025
+  data_files:
+  - split: train
+    path: how-scams-start-contact-methods-2025-data.csv
+- config_name: india-1930-helpline-money-saved-and-upi-fraud
+  data_files:
+  - split: train
+    path: india-1930-helpline-money-saved-and-upi-fraud-data.csv
+- config_name: india-cyber-fraud-2021-2025-ncrp-complaints-losses
+  data_files:
+  - split: train
+    path: india-cyber-fraud-2021-2025-ncrp-complaints-losses.csv
+- config_name: investment-fraud-losses-us-uk-canada-australia-2025
+  data_files:
+  - split: train
+    path: investment-fraud-losses-us-uk-canada-australia-2025.csv
+- config_name: rbi-bank-fraud-2020-21-to-2024-25-by-category
+  data_files:
+  - split: train
+    path: rbi-bank-fraud-data-2020-21-to-2024-25-by-category.csv
+- config_name: scam-losses-2021-2025-trend-us-uk-canada-australia
+  data_files:
+  - split: train
+    path: scam-losses-2021-2025-trend-us-uk-canada-australia.csv
+- config_name: scam-losses-by-age-group-us-australia-2025
+  data_files:
+  - split: train
+    path: scam-losses-by-age-group-us-australia-2025-data.csv
+- config_name: scam-losses-us-uk-canada-australia-2025
+  data_files:
+  - split: train
+    path: scam-losses-us-uk-canada-australia-2025-data.csv
+- config_name: scam-payment-methods-crypto-kiosk-2025
+  data_files:
+  - split: train
+    path: scam-payment-methods-crypto-kiosk-2025-data.csv
+- config_name: uk-fraud-2025-uk-finance-app-scam-numbers
+  data_files:
+  - split: train
+    path: uk-fraud-2025-uk-finance-app-scam-numbers.csv
 ---
+# Scam & Fraud Statistics: US, UK, Canada, Australia, India (2020-2025)
+Fifteen small tables of scam, fraud and data-breach statistics, each compiled from official published sources (FBI IC3, FTC, UK Finance, Canadian Anti-Fraud Centre, Australian National Anti-Scam Centre and Scamwatch, India's NCRP, NCRB, RBI and the 1930 helpline, and Have I Been Pwned). Most files include a `source_url` column linking each figure to the original publication.
+Each CSV is its own config, because the files have different columns. Load one with:
+```python
+from datasets import load_dataset
+ds = load_dataset("ScanMyShadow/scam-fraud-statistics", "fbi-ic3-2025-report-in-numbers")
+```
+## Files
+| Dataset (full analysis) | File | Rows | What it contains |
+|---|---|---|---|
+| [Australia Scam Reports & Losses 2021-2025](https://www.scanmyshadow.com/blog/2026/10/australia-scams-2025-national-anti-scam-centre-data.html) | `australia-scams-2025-national-anti-scam-centre-data.csv` | 22 | Australian scam reports and reported losses from the National Anti-Scam Centre (Scamwatch and partner data), by section and item. |
+| [Average Loss per Scam Victim by Type, 2025](https://www.scanmyshadow.com/blog/2026/10/average-loss-per-victim-by-scam-type-2025-data.html) | `average-loss-per-victim-by-scam-type-2025-data.csv` | 26 | Average reported loss per victim by scam type for the US, Canada, UK and Australia in 2025, with computed averages. |
+| [Canada CAFC Fraud Reports & Losses 2021-2025](https://www.scanmyshadow.com/blog/2026/10/canada-fraud-2025-cafc-losses-and-top-scams.html) | `canada-fraud-2025-cafc-losses-and-top-scams.csv` | 25 | Canadian Anti-Fraud Centre yearly losses 2021-2025 and 2025 top scams ranked by losses and by reports. |
+| [FBI IC3 Internet Crime Report 2025 Figures](https://www.scanmyshadow.com/blog/2026/10/fbi-ic3-2025-report-in-numbers.html) | `fbi-ic3-2025-report-in-numbers.csv` | 24 | FBI IC3 yearly complaints and losses 2021-2025 plus 2025 crime-type, age-group, crypto and Kill Chain figures. |
+| [HIBP Breaches Over 31M Accounts, 2024-2026](https://www.scanmyshadow.com/blog/2026/10/have-i-been-pwned-breaches-2024-2026-data.html) | `have-i-been-pwned-breaches-2024-2026-data.csv` | 20 | Twenty Have I Been Pwned breaches over 31 million accounts dated 2024-2026, with a type label. |
+| [How Scams Start: Contact Methods, 2025](https://www.scanmyshadow.com/blog/2026/10/how-scams-start-contact-methods-2025-data.html) | `how-scams-start-contact-methods-2025-data.csv` | 35 | Scam contact methods and losses from UK Finance, Australia Scamwatch and the FTC, with computed averages. |
+| [India 1930 Helpline Savings and UPI Fraud Data](https://www.scanmyshadow.com/blog/2026/10/india-1930-helpline-money-saved-and-upi-fraud-data.html) | `india-1930-helpline-money-saved-and-upi-fraud-data.csv` | 11 | India 1930 helpline cumulative amount saved and UPI fraud incidents and amounts, as published by Indian government sources. |
+| [India NCRP Cyber Fraud Complaints 2021-2025](https://www.scanmyshadow.com/blog/2026/10/india-cyber-fraud-2021-2025-ncrp-complaints-losses.html) | `india-cyber-fraud-2021-2025-ncrp-complaints-losses.csv` | 21 | India NCRP complaints and reported losses 2021-2025 with NCRB cyber crime cases by year and by state. |
+| [Investment Fraud Losses: US, UK, CA, AU, 2025](https://www.scanmyshadow.com/blog/2026/10/investment-fraud-losses-us-uk-canada-australia-2025.html) | `investment-fraud-losses-us-uk-canada-australia-2025.csv` | 5 | Investment fraud losses in 2025 across the US, UK, Canada and Australia with shares and year-on-year change. |
+| [RBI Bank Fraud Data by Category, 2020-2025](https://www.scanmyshadow.com/blog/2026/10/rbi-bank-fraud-data-2020-21-to-2024-25-by-category.html) | `rbi-bank-fraud-data-2020-21-to-2024-25-by-category.csv` | 17 | RBI bank frauds of ₹1 lakh and above: yearly totals 2020-21 to 2024-25 and 2024-25 breakdown by category. |
+| [Scam Losses 2021-2025: US, UK, Canada, AU](https://www.scanmyshadow.com/blog/2026/10/scam-losses-2021-2025-trend-us-uk-canada-australia.html) | `scam-losses-2021-2025-trend-us-uk-canada-australia.csv` | 20 | Yearly reported fraud and scam losses 2021-2025 for the US, UK, Canada and Australia, with a 2021-based index. |
+| [Scam Losses by Age Group, US & Australia 2025](https://www.scanmyshadow.com/blog/2026/10/scam-losses-by-age-group-us-australia-2025-data.html) | `scam-losses-by-age-group-us-australia-2025-data.csv` | 29 | Scam complaints and losses by age group for the US (FBI, FTC) and Australia (Scamwatch). |
+| [Scam Losses 2025: US, UK, Canada, Australia](https://www.scanmyshadow.com/blog/2026/10/scam-losses-us-uk-canada-australia-2025-data.html) | `scam-losses-us-uk-canada-australia-2025-data.csv` | 5 | 2025 reported fraud and scam losses for the US, UK, Canada and Australia with per-resident figures. |
+| [Scam Payment Methods & Crypto Kiosks, 2025](https://www.scanmyshadow.com/blog/2026/10/scam-payment-methods-crypto-kiosk-2025-data.html) | `scam-payment-methods-crypto-kiosk-2025-data.csv` | 21 | Scam payment methods, cryptocurrency and crypto kiosk figures for Australia (Scamwatch) and the US (FBI IC3), 2025. |
+| [UK Finance Fraud Figures 2025](https://www.scanmyshadow.com/blog/2026/10/uk-fraud-2025-uk-finance-app-scam-numbers.html) | `uk-fraud-2025-uk-finance-app-scam-numbers.csv` | 11 | UK Finance 2025 fraud totals, APP scam types and reimbursement, plus survey and police fraud figures. |
+## Notes on use
+- Figures are as published by each source and are not harmonised across countries: reporting rules, currencies and definitions differ. Columns named `*_computed` are derived by us from published numbers.
+- Blank cells mean the source did not publish that figure. Some number columns hold text values where a source gave a range or a qualifier.
+- Indian figures use lakh and crore (1 lakh = 100,000; 1 crore = 10,000,000).
+- In `scam-losses-2021-2025-trend-us-uk-canada-australia`, the Australia 2021-2022 values come from a different source mix than later years.
+- `have-i-been-pwned-breaches-2024-2026-data`: breach data via [Have I Been Pwned](https://haveibeenpwned.com), licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+- This is statistical reporting only. It contains no personal data.
+## Licence and citation
+Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Please credit "Scan My Shadow (scanmyshadow.com)" and link to the relevant analysis page above.
+```
+Scan My Shadow. Scam & Fraud Statistics: US, UK, Canada, Australia, India (2020-2025). Hugging Face, 2026. https://huggingface.co/datasets/ScanMyShadow/scam-fraud-statistics
+```
+Maintained by [Scan My Shadow](https://www.scanmyshadow.com). Also on Kaggle: https://www.kaggle.com/scanmyshadow