Fraud in Alberta

Reports to the Canadian Anti-Fraud Centre from Alberta, Jan 2021 to Sep 2025. That is 11% of all Canadian reports.

Reports28,043
Victims18,579
Money lost$273.3M
Began with a call7,473

Phone calls led to 3,550 victims and $33.6M in losses; text messages to 945 victims and $15.1M. Losses are as reported, not verified.

Area codes in Alberta

Check a number from Alberta: reverse phone lookup →

How scammers made contact in Alberta

MethodReportsShareVictimsLost
Direct call7,47337%3,550$33.6M
Internet-social network3,41917%2,767$80.6M
Internet3,07215%2,556$73.8M
Email2,93915%1,278$33.8M
Text message2,61313%945$15.1M
Door to door/in person2911%257$3.6M
Mail2171%75$24,346
Fax110%0$0
Television100%6$303,944
Video Call70%5$81,644
Print60%2$175,850

Share of the 20,058 reports that recorded a contact method.

Phone call scams in Alberta

TypeReportsVictimsLost
Service1,7921,375$2.1M
Bank Investigator1,302577$7.7M
Extortion1,219360$1.6M
Personal Info792356$0
Emergency (Jail, Accident, Hospital, Help)694255$3.4M
Prize47394$1.6M

Text message scams in Alberta

TypeReportsVictimsLost
Phishing1,785468$0
Vendor Fraud196103$55,998
Job169132$3.3M
Emergency (Jail, Accident, Hospital, Help)6228$107,491
Extortion6013$90,504
Investments5350$4.2M

Check a link from a text →

Most reported scam types in Alberta

TypeReportsVictimsLost
Identity Fraud5,6875,627$0
Service2,8592,231$7.3M
Phishing2,537732$0
Personal Info2,2201,657$0
Extortion2,138610$8.9M
Investments1,9041,812$148.0M
Merchandise1,5251,271$4.3M
Bank Investigator1,407643$9.7M
Job1,213842$13.3M
Vendor Fraud1,071632$2.2M

By year

YearReportsVictimsLost
20217,8325,040$30.2M
20227,3814,605$52.2M
20235,7123,833$63.7M
20244,2913,077$55.9M
2025 (to Sep 2025)2,8272,024$71.4M

Other provinces and territories

Canada-wide totals →

About this data

Source: Canadian Anti-Fraud Centre, Fraud Reporting System dataset, Open Government Licence - Canada, reports from 2021-01-01 to 2025-09-30. Counts are reports filed from Alberta; a report can be an attempt with no victim. The dataset has no phone numbers or names. Many victims never report fraud, so actual numbers are higher.