Data · FTC reports
FTC fraud, identity-theft and imposter-scam reports, by state
How many fraud, identity-theft and imposter-scam reports reach the Federal Trade Commission from every state, and how each state compares per 100,000 people. Counts only, from the FTC's own Consumer Sentinel Network Data Book.
What is in this dataset?
Reports that consumers made to the U.S. Federal Trade Commission's Consumer Sentinel Network in 2024, by state, DC and Puerto Rico, from the FTC's Consumer Sentinel Network Data Book 2024. Four records per jurisdiction: fraud and other reports and identity theft reports (each with the count, the rate per 100,000 people and the FTC's rank among the 50 states), imposter-scam reports (the share of the state's reports that the FTC prints, with a count and a rate derived from it, flagged as rounded) and fraud reports with the share reporting a loss, the total dollars reported lost and the median loss. Four national records give the whole country. A report is what a consumer or partner told the FTC, not a finding; the state tables leave out reports from state-specific data contributors and reports with no state.
Use it to see how many fraud, identity-theft and imposter-scam reports each state's consumers send the FTC, and how a state compares per 100,000 people, before you plan consumer-protection or fraud-recovery marketing. Look up your state: the records give each count, rate and rank as the FTC prints them. The imposter-scam count is derived from a whole percent, so it is a rounded estimate and is flagged. A firm weighing a new fraud-recovery or identity-theft page can rank the states it is licensed in by reports per resident: a high rate with a small population can mean a crowded field of victims and few firms speaking to them, while the imposter-scam share hints at which story to lead the page with.
- Records
- 212
- Look up by
- 53
- state
- Primary source
- 212
The letters are explained in what P, S, D and U mean.
Where does the data come from?
The FTC's Consumer Sentinel Network Data Book is read from the FTC's PDF by machine in layout mode: the two State Rankings tables, one page per state, Appendix C and the national tables. Counts stay exactly as the FTC prints them. The imposter-scam count is the printed whole-percent share times the state's reports (fraud and other plus identity theft, a base checked against the identity-theft share on every page), flagged noise with its margin. A release gate checks that the ranks reproduce from the rates, that each state page prints the table's counts and ranks, that the two tables imply one population, that Appendix C losses match each page, and that the states add up to no more than the country.
- Period covered
- January 1, 2024 to December 31, 2024
- Places
- The whole US and states
- How often we refresh it
- Once a year
- The source's next release
- March 2027
- Records read
- October 27, 2026
Official sources
- U.S. Federal Trade Commission, by official PDF files. U.S. Government work (public domain).
- U.S. Federal Trade Commission, by official web pages. U.S. Government work (public domain).
The sources the records cite most
- FTC, Consumer Sentinel Network Data Book 2024: 212 records
What does a record look like?
-
In 2024, Texas consumers made 462,667 fraud and other reports to the FTC, 1,561 per 100,000 people, ranked 6 of 50 states by reports per 100,000 people.
Status P · checked October 27, 2026 · source: FTC, Consumer Sentinel Network Data Book 2024
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In 2024, California consumers made 506,727 fraud and other reports to the FTC, 1,291 per 100,000 people, ranked 17 of 50 states by reports per 100,000 people.
Status P · checked October 27, 2026 · source: FTC, Consumer Sentinel Network Data Book 2024
-
In 2024, New York consumers made 278,662 fraud and other reports to the FTC, 1,402 per 100,000 people, ranked 13 of 50 states by reports per 100,000 people.
Status P · checked October 27, 2026 · source: FTC, Consumer Sentinel Network Data Book 2024
-
In 2024, Florida consumers made 474,314 fraud and other reports to the FTC, 2,163 per 100,000 people, ranked 1 of 50 states by reports per 100,000 people.
Status P · checked October 27, 2026 · source: FTC, Consumer Sentinel Network Data Book 2024
The full records add the dates, the quoted source text and every field in the CSV and JSON files below.
What each of the 12 main columns means
measure- fraud-other, identity-theft, imposter-scams or fraud-losses
measureLabel- The measure in plain words
year- The calendar year the reports were made (the Data Book year)
value- Reports (the count as the FTC prints it, except imposter-scams, which is derived); empty for imposter-scams when the FTC prints no share for the state (flags.suppressed)
per100k- Reports per 100,000 people as the FTC prints it (fraud-other, identity-theft), or derived (imposter-scams)
rank- The FTC's rank among the 50 states by reports per 100,000 people; empty for DC, Puerto Rico and the country
sharePct- imposter-scams: the whole percent of the state's reports that the FTC prints for imposter scams
topTenPosition- imposter-scams: its place in the state's top ten report categories as the FTC lists them
derived- true when value and per100k come from a printed percent (rounded, flags.noise); flags.moe is the margin in reports
pctReportingLoss- fraud-losses: percent of fraud reports that said money was lost
totalLossUsd- fraud-losses: dollars reported lost, as the FTC prints in Appendix C
medianLossUsd- fraud-losses: median dollar loss among reports with a loss
How do I use it in my own tools?
sentinel_lookup- For one state, DC, Puerto Rico (two-letter code) or US: the FTC Consumer Sentinel reports in the Data Book year for fraud and other reports, identity theft, imposter scams (derived from the printed share, flagged) and fraud losses, with the rate per 100,000 people and the FTC's rank among the 50 states.
sentinel_compare- FTC Consumer Sentinel reports side by side for up to 10 states, DC, Puerto Rico (two-letter codes) or US, with the rate per 100,000 people and the rank.
sentinel_search- Report records whose text matches the words given, such as a state name, "imposter scams", "identity theft" or "fraud losses".
How to cite this dataset
You can reuse, adapt and republish this data, including commercially, under the Creative Commons Attribution 4.0 license (CC BY 4.0). The only condition is that you credit Probative and link to the source.
- Version
- 1.0.0, released October 28, 2026
- Every version
- 10.5281/zenodo.23741875 (always points to the newest)
- License
- CC BY 4.0
Download the data
- CSV: consumer-sentinel.csv 156 KB · one row per record (columns in README.txt)
- JSON: consumer-sentinel.json 314 KB · every record with its sources
Free, no email or login. The files are hosted on this site and Zenodo, a public research archive.
Suggested citation
Probative. (2026). FTC Consumer Sentinel reports by state: fraud, identity theft and imposter scams, 2024 Data Book (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23741876
Credit line for a chart, table or article
Source: Probative, FTC Consumer Sentinel reports by state: fraud, identity theft and imposter scams, 2024 Data Book, version 1.0.0, https://doi.org/10.5281/zenodo.23741876, licensed CC BY 4.0.
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Not legal advice. These are counts of reports made to the FTC, kept for marketing planning. A report is a consumer's account, not a finding that fraud happened, and the state tables leave out reports from state-specific data contributors. Deadlines and rights are for your own counsel.
What are the limits?
- A report is what a consumer told the FTC. It is not a finding that fraud happened.
- The FTC prints imposter scams only as a whole percent of a state's reports, so the imposter-scam count and rate here are derived from it. They are rounded and flagged, never presented as exact.
- Reports from state-specific data contributors and reports with no state are left out of the state tables, so states add up to less than the country.
- Fraud-loss figures are the amounts consumers said they lost. They are self-reported and unverified.
- Reports reflect who knows to report, not only how much fraud there is. A higher rate can mean more reporting.
- Records older than 500 days since their last check are marked
stalein the files until we re-check them. Every confirmed error we fix is listed in the data corrections log.
Found a wrong value? Report an error with the record id and the source that shows the right value.
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