Data & charts

Every number on this site comes from one of the datasets below. This page shows the charts built from them, says when each source was last pulled, and lets you download the cleaned data.

Read this before quoting any figure here

These are reported losses. Every agency on this page says the same thing in its own words: most fraud is never reported to it. The FTC has published an estimate that the real cost of fraud to US consumers could be more than fifteen times what gets reported. Treat every figure here as a floor.

The four countries also count differently, so the totals are not directly comparable. See methodology for exactly what each one includes.

Last pulled 2026-09-06. 5 datasets. 2 of them (National Anti-Scam Centre (ACCC), Australia, UK Finance) are hand-transcribed from published reports because the publisher offers no machine-readable export.

The charts

Each chart is a static SVG built at publish time. Its title, source line and caveats are part of the image, so they travel with it if it is screenshotted or reused.

Who loses money, and how much each, United States, 2024Grouped bars by age band. Total reported losses peak in the 60 to 69 band, but median individual loss rises steadily with age and is highest for people aged 80 and over — older victims report fewer frauds but lose far more each time.Who loses money, and how much each, United States, 2024Total reported losses and the median individual loss, by age band. Each series is scaled to its own maximum.19− — Total reported losses: $55m19− — Median loss per person: $18920-29 — Total reported losses: $430m20-29 — Median loss per person: $41730-39 — Total reported losses: $810m30-39 — Median loss per person: $45040-49 — Total reported losses: $971m40-49 — Median loss per person: $50050-59 — Total reported losses: $1.0bn50-59 — Median loss per person: $52060-69 — Total reported losses: $1.2bn60-69 — Median loss per person: $69170-79 — Total reported losses: $887m70-79 — Median loss per person: $1,00080+ — Total reported losses: $319m80+ — Median loss per person: $1,65019−20-2930-3940-4950-5960-6970-7980+Total reported lossesMedian loss per personThe two series use separate vertical scales because totals and medians differ by five orders of magnitude; compare within a series, neveracross.Younger people report losing money more often; older people lose much more per incident.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: Federal Trade Commission (US). Pulled 2026-09-06.
Full dataset, methodology and downloads
Reported losses by category, Canada, 2024Horizontal bars ranking Canadian Anti-Fraud Centre categories by reported loss in 2024. Investments is the largest category at $228m, several times the next largest.Reported losses by category, Canada, 2024Complaints to the Canadian Anti-Fraud Centre, converted from Canadian dollars at the annual average rate.Investments$228mInvestments: $228m — 4,078 victimsSpear Phishing$49mSpear Phishing: $49m — 644 victimsRomance$43mRomance: $43m — 1,074 victimsJob$36mJob: $36m — 2,388 victimsUnknown$31mUnknown: $31m — 413 victimsExtortion$15mExtortion: $15m — 960 victimsService$15mService: $15m — 4,028 victimsBank Investigator$13mBank Investigator: $13m — 1,576 victimsMerchandise$7.0mMerchandise: $7.0m — 2,958 victimsRecovery Pitch$6.7mRecovery Pitch: $6.7m — 333 victimsOther$6.6mOther: $6.6m — 483 victimsVendor Fraud$6.1mVendor Fraud: $6.1m — 542 victims$0$100m$200mThe CAFC estimates that a small fraction of fraud in Canada is reported to it. Its category names are its own: "Service" covers techsupport and subscription traps, and "Spear Phishing" is where business email compromise is filed.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: Canadian Anti-Fraud Centre / RCMP. Pulled 2026-09-06.
Full dataset, methodology and downloads
How first contact was made, United States, 2024Horizontal bars of FTC-reported fraud losses by contact method in 2024. Social media produced the largest reported losses at $1.9bn, while email generated the most reports but far smaller losses.How first contact was made, United States, 2024Reported losses by the channel the scammer used to reach the victim.Social Media$1.9bnSocial Media: $1.9bn — 187k reports, median $409Other$1.1bnOther: $1.1bn — 148k reports, median $633Website or Apps$976mWebsite or Apps: $976m — 187k reports, median $200Phone call$948mPhone call: $948m — 285k reports, median $1,500Email$502mEmail: $502m — 372k reports, median $600Text$470mText: $470m — 247k reports, median $1,000Online Ad or Pop-up$246mOnline Ad or Pop-up: $246m — 42k reports, median $180Mail$90mMail: $90m — 42k reports, median $990$0$500m$1.0bn$1.5bnEmail produces the most reports; social media and phone calls produce the most money. Volume and harm point in different directions.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: Federal Trade Commission (US). Pulled 2026-09-06.
Full dataset, methodology and downloads
Reported losses by crime type, United States, 2025Horizontal bars ranking FBI IC3 crime types by reported loss in 2025. Investment is far the largest at $8.6bn, followed by BEC at $3.0bn and Tech/Customer Support at $2.1bn.Reported losses by crime type, United States, 2025Complaints to the FBI Internet Crime Complaint Center. Fourteen largest categories by loss.Investment$8.6bnInvestment: $8.6bn — 73k complaintsBEC$3.0bnBEC: $3.0bn — 25k complaintsTech/Customer Support$2.1bnTech/Customer Support: $2.1bn — 48k complaintsPersonal Data Breach$1.3bnPersonal Data Breach: $1.3bn — 67k complaintsConfidence/Romance$929mConfidence/Romance: $929m — 23k complaintsGovernment Impersonation$798mGovernment Impersonation: $798m — 32k complaintsOther$512mOther: $512m — 20k complaintsNon-Payment/Non-Delivery$503mNon-Payment/Non-Delivery: $503m — 56k complaintsData Breach$435mData Breach: $435m — 3,963 complaintsEmployment$363mEmployment: $363m — 25k complaintsCredit Card/Check Fraud$283mCredit Card/Check Fraud: $283m — 19k complaintsReal Estate$275mReal Estate: $275m — 12k complaintsPhishing/Spoofing$216mPhishing/Spoofing: $216m — 192k complaintsLottery/Sweepstakes/Inheritance$194mLottery/Sweepstakes/Inheritance: $194m — 5,623 complaints$0$2.5bn$5.0bn$7.5bnIC3 categories are broader than the individual schemes described on this site; a single category such as Investment covers several of them.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: FBI Internet Crime Complaint Center (IC3). Pulled 2026-09-06.
Full dataset, methodology and downloads
Reported scam and fraud losses, four countriesStacked columns of reported fraud losses for 2023, 2024, 2025, combining the FBI's Internet Crime Complaint Center for the United States, the National Anti-Scam Centre for Australia, the Canadian Anti-Fraud Centre for Canada, and UK Finance for the United Kingdom. The total rises across the period, with the United States accounting for the large majority in every year.Reported scam and fraud losses, four countriesUS dollars at annual average exchange rates. Each country is counted once, by its own national body.$0$5.0bn$10bn$15bn$20bnUnited States (FBI IC3), 2023: $12bnAustralia (National Anti-Scam Centre), 2023: $1.8bnCanada (CAFC), 2023: $428m$15bnUnited States (FBI IC3), 2024: $16bnAustralia (National Anti-Scam Centre), 2024: $1.3bnCanada (CAFC), 2024: $471m$18bnUnited States (FBI IC3), 2025: $20bnAustralia (National Anti-Scam Centre), 2025: $1.4bnCanada (CAFC), 2025: $387mUnited Kingdom (UK Finance), 2025: $1.7bn$24bn202320242025United States (FBI IC3)Australia (National Anti-Scam Centre)Canada (CAFC)United Kingdom (UK Finance)Four national reporting systems with different scope, thresholds and definitions; the total is an order-of-magnitude picture, not alike-for-like sum. UK Finance counts only losses recorded by member banks and appears from 2025. Canadian 2025 data runs to 30 September.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: FBI Internet Crime Complaint Center (IC3); National Anti-Scam Centre (ACCC), Australia (transcribed from the published report);Canadian Anti-Fraud Centre / RCMP; UK Finance (transcribed from the published report). Pulled 2026-09-06.
Full dataset, methodology and downloads
Reported losses by category, Australia, 2025Horizontal bars of combined Australian scam losses by category in 2025. Investment is the largest single named category at $540m; the "Other" bar aggregates every category outside the top five.Reported losses by category, Australia, 2025Combined across Scamwatch, ReportCyber, the AFCX, ASIC and IDCARE, de-duplicated.Other$562mOther: $562mInvestment$540mInvestment: $540mPayment redirection$108mPayment redirection: $108mRomance$90mRomance: $90mPhishing$63mPhishing: $63mRemote access$45mRemote access: $45m$0$200m$400m"Other" is everything outside the five largest categories, so it is a residual rather than a scam type.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: National Anti-Scam Centre (ACCC), Australia (transcribed from the published report). Pulled 2026-09-06.
Full dataset, methodology and downloads
How the money left, United States, 2024Horizontal bars of FTC-reported fraud losses by payment method in 2024. Bank transfer or payment accounts for the largest losses at $2.1bn, followed by cryptocurrency at $1.4bn, despite credit cards being reported far more often.How the money left, United States, 2024Reported losses by payment method. Bank transfers and cryptocurrency dominate the money, not the reports.Bank Transfer or Payment$2.1bnBank Transfer or Payment: $2.1bn — 47k reportsCryptocurrency$1.4bnCryptocurrency: $1.4bn — 47k reportsPayment App or Service$391mPayment App or Service: $391m — 91k reportsCash$308mCash: $308m — 14k reportsWire Transfer$287mWire Transfer: $287m — 40k reportsCredit Cards$275mCredit Cards: $275m — 109k reportsCheck$225mCheck: $225m — 8,098 reportsGift Card or Reload Card$212mGift Card or Reload Card: $212m — 41k reportsDebit Card$180mDebit Card: $180m — 76k reportsMoney Order$51mMoney Order: $51m — 2,658 reports$0$1.0bn$2.0bnOnly a minority of FTC fraud reports record a payment method, so the ranking is more reliable than the absolute totals.Bank transfers, wire transfers and cryptocurrency are the rails with the least consumer protection: once sent, the money is usually gone.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: Federal Trade Commission (US). Pulled 2026-09-06.
Full dataset, methodology and downloads
Volume against value, United States, 2025Scatter plot of FBI IC3 crime types in 2025. Phishing and spoofing sit far to the right with very high complaint volume but a low average loss, while investment fraud and business email compromise sit high on the vertical axis with far fewer complaints and average losses in the tens or hundreds of thousands of dollars.Volume against value, United States, 2025Horizontal: how often it is reported. Vertical: average loss per report. Bubble size: total losses.$0$50,000$100,000Investment: 73k complaints reported, $118,500 average loss per complaintInvestmentBEC: 25k complaints reported, $123,005 average loss per complaintBECTech/Customer Support: 48k complaints reported, $44,664 average loss per complaintPersonal Data Breach: 67k complaints reported, $19,493 average loss per complaintConfidence/Romance: 23k complaints reported, $40,126 average loss per complaintGovernment Impersonation: 32k complaints reported, $24,610 average loss per complaintOther: 20k complaints reported, $25,568 average loss per complaintNon-Payment/Non-Delivery: 56k complaints reported, $8,913 average loss per complaintData Breach: 3,963 complaints reported, $109,826 average loss per complaintEmployment: 25k complaints reported, $14,701 average loss per complaintCredit Card/Check Fraud: 19k complaints reported, $15,056 average loss per complaintReal Estate: 12k complaints reported, $22,244 average loss per complaintPhishing/Spoofing: 192k complaints reported, $1,127 average loss per complaintLottery/Sweepstakes/Inheritance: 5,623 complaints reported, $34,527 average loss per complaintIdentity Theft: 32k complaints reported, $5,867 average loss per complaintAdvanced Fee: 7,762 complaints reported, $20,086 average loss per complaint050k100k150k200kcomplaints reportedaverage loss per complaintAverage loss per complaint, computed across all complaints in the category including those reporting no loss, so it understates the loss tothose who did lose money.Reported losses only. Every agency here says most fraud is never reported to it, so treat these as a floor, not a total.Sources: FBI Internet Crime Complaint Center (IC3). Pulled 2026-09-06.
Full dataset, methodology and downloads

The datasets

FTC Consumer Sentinel Network fraud reports and losses

United States 2022 – 2024 387 rows Fetched automatically

Reports made by consumers to the FTC and its Sentinel partners. Losses are self-reported; only 38% of 2024 fraud reports included a dollar loss at all, and most fraud is never reported.

Publisher
Federal Trade Commission (US)
Source document
https://www.ftc.gov/reports/consumer-sentinel-network-data-book-2024
Licence
US Government work, public domain
Last pulled
2026-09-06 — latest data year is 2024; the publisher has not released a newer edition
Download
ftc.csv

Canadian Anti-Fraud Centre reports, victims and dollar losses

Canada 2021-01-02 – 2025-09-29 3,519 rows Fetched automatically

Complaints reported to the CAFC, which estimates that only a small fraction of fraud is ever reported to it. Losses are in Canadian dollars as reported by complainants, converted at the annual average rate. A small share of reports originate outside Canada.

Publisher
Canadian Anti-Fraud Centre / RCMP
Source document
https://open.canada.ca/data/en/dataset/6a09c998-cddb-4a22-beff-4dca67ab892f
Licence
Open Government Licence – Canada
Last pulled
2026-09-06
Download
cafc.csv

FBI IC3 internet crime complaints and losses by crime type

United States 2023 – 2025 84 rows Fetched automatically

Complaints voluntarily reported to IC3 by the US public. Losses are reported losses, not adjudicated ones, and IC3 does not receive most internet crime.

Publisher
FBI Internet Crime Complaint Center (IC3)
Source document
https://www.ic3.gov/AnnualReport/Reports/2025_IC3Report.pdf
Licence
US Government work, public domain
Last pulled
2026-09-06
Download
ic3.csv

Australian scam reports and losses (National Anti-Scam Centre)

Australia 2021 – 2025 60 rows Hand-transcribed

Around 86% of reports to Scamwatch involve no financial loss, and Scamwatch is only one of five Australian reporting bodies. "Combined" figures de-duplicate across all five; "Scamwatch" figures are one subset of them and the two must never be added together.

Publisher
National Anti-Scam Centre (ACCC), Australia
Source document
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
Licence
CC BY 4.0 (ACCC)
Last pulled
2026-09-06
Download
scamwatch.csv

UK payment fraud and authorised push payment (APP) losses

United Kingdom 2025 – 2025 5 rows Hand-transcribed

Losses recorded by UK Finance member banks, so fraud against non-members and fraud never reported to a bank is excluded. APP fraud is money the victim sent themselves; unauthorised fraud is counted separately.

Publisher
UK Finance
Source document
https://www.ukfinance.org.uk/news-and-insight/press-release/fraud-report-2026-press-release
Licence
© UK Finance; reproduced with attribution for non-commercial reference
Last pulled
2026-09-06
Download
ukfinance.csv

Exchange rates

Cross-country charts are shown in US dollars, converted at the annual average rate for the year the loss was reported — never at today's rate, which would rewrite history every morning. Rates come from Internal Revenue Service (US): Yearly average currency exchange rates (accessed 2026-09-06) and are expressed as units of foreign currency per US dollar.

Annual average exchange rates, foreign currency per US dollar
Currency 20212022202320242025
CAD 1.2541.3011.351.371.398
AUD 1.3321.4421.5061.5161.551
GBP 0.7270.8110.8040.7830.759
EUR 0.8460.9510.9240.9240.886

exchange-rates.json holds every currency in the set.

Using this data

The cleaned CSVs are free to download and reuse. The underlying figures belong to the agencies that collected them and carry their own licences, listed above — cite the originating agency alongside Scam Atlas. The normalisation, the type mapping and the charts are ours; attribution and a link are all we ask. If you find an error in the mapping or the arithmetic, please tell us.