Fraud/Financial · National · FY2015–FY2024
Fraud/Theft/Embezzlement
How U.S. federal courts sentence fraud/theft/embezzlement cases, typical sentence length, guideline range and compliance, and the districts that depart most, from USSC case-level data.
- 28.0
- Avg months FY2024
- well below the national average
- 5,291
- Federal cases
- 39%
- Within guidelines
- typical guideline adherence
- 85%
- Guilty plea
According to the U.S. Sentencing Commission (USSC), 5,291 federal defendants were sentenced for fraud/theft/embezzlement in FY2024, at an average of 28.0 months. Every figure on this page is computed from the USSC's case-level Individual Offender Datafiles; see our methodology for how each is derived.
The verdict
Nationwide, Fraud/Theft/Embezzlement drew an average federal sentence of 28.0 months across 5,291 cases in FY2024, with 39% sentenced inside the guideline range.
- 28 mo
- Average sentence, FY2024
- 37–41 mo
- Typical guideline range
- 39%
- Within guideline range
- 85%
- Resolved by guilty plea
National Trends (FY2015–FY2024)
| Year | Cases | Avg (mo) | GL Min | GL Max | Within GL | Above GL | Below GL |
|---|---|---|---|---|---|---|---|
| FY2024 | 5,291 | 28.0 | 37.3 | 41.1 | 39% | 4% | 58% |
| FY2023 | 5,192 | 28.4 | 44.2 | 46.2 | 36% | 4% | 60% |
| FY2022 | 5,506 | 27.9 | 40.4 | 42.2 | 38% | 6% | 56% |
| FY2021 | 4,541 | 27.9 | 40.4 | 42.3 | 37% | 5% | 58% |
| FY2020 | 4,811 | 25.7 | 37.1 | 36.5 | 42% | 5% | 53% |
| FY2019 | 6,373 | 27.9 | 39.4 | 40.3 | 42% | 3% | 55% |
| FY2018 | 6,591 | 29.7 | 40.5 | 40.3 | 42% | 3% | 55% |
Guidelines Compliance (FY2024)
About This Offense
Fraud/Theft/Embezzlement is categorized under Fraud/Financial in the USSC guidelines. Sentencing ranges depend on the specific offense level, criminal history category, and applicable adjustments.
Where fraud/theft/embezzlement sentences sit among all federal sentences (FY2024)
Each bar counts imposed federal prison terms in that length band; the marker is this offense's average.
28 48th percentile longer than 48% of 56,311 federal sentences
Each bar is a band; taller bars hold more federal sentences. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.
Source U.S. Sentencing Commission, Individual Offender Datafiles · FY2024
Fraud/Theft/Embezzlement - Top District Disparities (FY2024)
District Comparison (FY2024)
Average sentences for Fraud/Theft/Embezzlement by district. These averages still reflect case-specific factors within the offense category - criminal history, quantity or aggravating circumstances, and cooperation with prosecutors - not judicial character. Districts with fewer than 5 cases excluded.
| District | Cases | Avg (mo) | vs. National |
|---|---|---|---|
| Southern Texas | 135 | 47.3 | +68.8% |
| Middle Tennessee | 10 | 44.5 | +58.9% |
| Northern Alabama | 150 | 44.3 | +58.3% |
| Northern Iowa | 33 | 42.3 | +51.2% |
| Southern Alabama | 88 | 39.0 | +39.1% |
| South Carolina | 12 | 36.6 | +30.7% |
| Northern Texas | 114 | 36.2 | +29.3% |
| Northern Indiana | 28 | 36.2 | +29.2% |
| Eastern North Carolina | 76 | 35.8 | +28.0% |
| Eastern Louisiana | 70 | 35.8 | +27.8% |
| Northern West Virginia | 16 | 35.6 | +27.0% |
| Utah | 196 | 35.6 | +27.0% |
| Kansas | 76 | 35.4 | +26.4% |
| Southern Georgia | 76 | 35.1 | +25.4% |
| Northern Florida | 35 | 34.9 | +24.6% |
| Eastern Texas | 37 | 34.7 | +23.9% |
| Middle Alabama | 288 | 34.4 | +22.9% |
| Middle Louisiana | 47 | 34.4 | +22.9% |
| Southern Mississippi | 24 | 34.3 | +22.3% |
| Nebraska | 51 | 34.3 | +22.5% |
What the Fraud/Theft/Embezzlement Sentencing Data Shows
Across all federal district courts in FY2024, Fraud/Theft/Embezzlement offenses produced 5,291 sentenced cases with a national average imposed sentence of 28.0 months. The applicable guideline range for these cases averaged 37.3 months at the low end and 41.1 months at the high end, placing the actual mean sentence below the average guideline window. This offense category is classified by the USSC under Fraud/Financial.
Guideline compliance for Fraud/Theft/Embezzlement broke down as follows in FY2024: 39% of sentences landed within the prescribed range, 4% were above-guideline (upward departures or variances), and 58% were below-guideline. Guilty pleas resolved 85% of cases, a metric that reflects how few federal defendants in this offense category proceed to trial. Below-guideline sentences are typically the result of either government-sponsored departures (such as substantial assistance under USSG §5K1.1) or judge-initiated variances under 18 U.S.C. § 3553(a), a framework formalized after United States v. Booker (2005).
District-level variation is the key signal beneath these national numbers: across the 20 districts with at least 5 cases in FY2024, the district comparison table above shows how average sentences for Fraud/Theft/Embezzlement diverge from the national benchmark. Because individual sentencing outcomes depend on the defendant's criminal history category, offense-level adjustments, the specific statutes of conviction, and any cooperation, these aggregate figures describe patterns, not predictions for any single case. This data is presented for research and educational purposes only and is not legal advice.
Nearby Offenses in the Fraud/Financial Category
Related federal offenses with the same USSC classification. Compare sentencing patterns across similar crimes.
Source: United States Sentencing Commission (USSC), Individual Offender Datafiles, FY2015–FY2024.
Source: USSC Commission Datafiles · How we compute these metrics
Frequently Asked Questions
What is the average federal sentence for Fraud/Theft/Embezzlement?
How often do Fraud/Theft/Embezzlement sentences follow the guidelines?
Which districts have the highest average sentences for Fraud/Theft/Embezzlement?
What are the federal sentencing guidelines for Fraud/Theft/Embezzlement?
Where does the Fraud/Theft/Embezzlement sentencing data come from?
What is the difference between a departure and a variance?
Learn More About Federal Sentencing
Understanding Federal Sentencing
How federal sentencing guidelines work, from offense levels to criminal history categories.
Sentencing Disparity Explained
What drives differences in sentencing outcomes between federal districts.
Reading Sentencing Data
How to interpret the statistics and comparisons in PlainSentencing.
What the Fraud/Theft/Embezzlement data shows
In FY2024, 5,291 federal defendants were sentenced for fraud/theft/embezzlement, with an average sentence of 28.0 months -- 29.7 months below the national average across all offenses.
- 39% of fraud/theft/embezzlement sentences in FY2024 fell within the guideline range, with 58% below (downward departures or variances, often for cooperation). The below-range rate reflects how frequently prosecutors offer departure motions for substantial assistance. How the guidelines work
- The highest-average district for fraud/theft/embezzlement in FY2024 was Southern Texas, averaging 47.3 months -- 19.3 months above the national average. Case-specific factors within this offense (criminal history, quantity or aggravating circumstances, cooperation) drive that gap as much as any district-level pattern; the comparison below shows the full spread. Southern Texas data
- The average sentence for fraud/theft/embezzlement has fallen 1.7 months since FY2018 (FY2018: 29.7 mo; FY2024: 28.0 mo). The trend chart above compares actual sentences against the guideline midpoint each year. Post-Booker sentencing trends
Descriptive USSC aggregates, not legal advice; individual sentences depend on case-specific facts.
Cite this page
Free to cite and reference with attribution. Figures update automatically as new data is published, compiled from the public-domain USSC datafiles.
PlainSentencing. (FY2024). Fraud/Theft/Embezzlement - Federal Sentencing Data. PlainSentencing. Retrieved from https://plainsentencing.com/offense/fraud--theft--embezzlement/. Data from the U.S. Sentencing Commission (USSC) Individual Offender Datafiles; public domain (CC0).
Read our methodology - how this data is sourced, computed, and verified.