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Federal Sentencing · National · FY2024

Highest Departure Rates

The U.S. federal districts that most often sentence outside the guideline range in FY2024, ranked from USSC case-level data against the 43.0% national within-guidelines rate.

88%
Top departure rate
43%
National within-guidelines FY2024
20
Districts ranked

According to the U.S. Sentencing Commission (USSC), more than 61,000 individuals were sentenced in U.S. federal courts in fiscal year 2024 under the Federal Sentencing Guidelines, with the Sentencing Reform Act of 1984 establishing the modern framework. The USSC Annual Report and Sourcebook of Federal Sentencing Statistics are published every March and cover all 94 U.S. district courts. See our methodology for refresh cadence.

"Departure rate" here counts how often a district's sentences fall outside the calculated guideline range - it does not by itself measure lax or defiant judges. Most departures nationwide are government-sponsored reductions for substantial assistance (cooperation with prosecutors), so a district's rate reflects its cooperation culture and offense mix along with judicial practice, not judicial character alone.

The verdict

The Colorado district departed from the federal sentencing guidelines more than any other in FY2024: 88.3% of sentences fell outside the guideline range, versus 57.0% nationally.

88.3%
sentences outside guidelines
11.7%
within-guideline rate
57.0%
U.S. departure rate FY2024

For educational and research purposes only. Not legal advice. Departure rates include upward departures, downward departures, and Booker variances.

Top 15 Districts by Departure Rate -- FY2024

Share of classifiable cases sentenced outside the guideline range (%)

%

What this shows Colorado had the highest below-guideline departure rate in FY2024 at 88.3% of classifiable cases. High departure rates typically reflect heavy use of substantial assistance motions (cooperation agreements with prosecutors).

Source U.S. Sentencing Commission, Individual Offender Datafiles As of FY2024
RankDistrictCircuitCases% Departure% Within GLAboveBelow
#1 Colorado
Colorado
10th 477 88.3% 11.7% 2% 86%
#2 Oregon
Oregon
9th 317 88.3% 11.7% 1% 87%
#3 Central California
California
9th 521 86.4% 13.6% 4% 82%
#4 New Mexico
New Mexico
10th 2,634 86.3% 13.7% 2% 85%
#5 Southern Ohio
Ohio
6th 286 84.4% 15.6% 7% 78%
#6 Northern California
California
9th 271 81.3% 18.7% 3% 79%
#7 Massachusetts
Massachusetts
1st 109 80.9% 19.1% 3% 78%
#8 Minnesota
Minnesota
8th 577 79.6% 20.4% 3% 77%
#9 New Hampshire
New Hampshire
1st 118 79.2% 20.8% 2% 77%
#10 Southern New York
New York
2nd 1,048 78.8% 21.2% 2% 77%
#11 Northern New York
New York
2nd 727 78.3% 21.7% 3% 75%
#12 Western Wisconsin
Wisconsin
7th 333 78.2% 21.8% 2% 77%
#13 Maine
Maine
1st 531 77.6% 22.4% 2% 75%
#14 Guam
Guam
9th 653 77.6% 22.4% 3% 74%
#15 Connecticut
Connecticut
2nd 249 76.8% 23.2% 4% 72%
#16 Utah
Utah
10th 926 76.0% 24.0% 3% 73%
#17 Eastern Virginia
Virginia
4th 449 75.8% 24.2% 4% 72%
#18 New Jersey
New Jersey
3rd 165 75.5% 24.5% 3% 73%
#19 Eastern Michigan
Michigan
6th 117 75.2% 24.8% 7% 69%
#20 Southern Illinois
Illinois
7th 249 72.9% 27.1% 6% 67%

The bar to make the 20 highest-departure districts (FY2024)

Every rankable district by guideline-departure rate (% of cases sentenced outside the range); the marker is the 72.9% cutoff needed to reach this list.

73 76th percentile higher than 76% of 88 federal districts

20–30: 1 federal districts (1%). Below this entry. 30–40: 6 federal districts (7%). Below this entry. 40–50: 9 federal districts (10%). Below this entry. 50–60: 21 federal districts (24%). Below this entry. 60–70: 23 federal districts (26%). Below this entry. 70–80: 21 federal districts (24%). This entry sits in this band. 80–90: 7 federal districts (8%). Above this entry. Top-20 cutoff 20 90 every rankable district, bucketed by value

Each bar is a band; taller bars hold more federal districts. 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

About departures: "Above GL" = upward departure (longer than guidelines). "Below GL" = downward departure (shorter than guidelines). "Booker" = post-United States v. Booker variance where judges impose outside the guidelines range under 18 U.S.C. § 3553(a) factors.

Source: United States Sentencing Commission, FY2024. Districts with 100+ cases included.

What this means

Departure rates reveal how often judges in a district step outside the guidelines, and why the direction is almost always downward.

  • Most departures are government-sponsored and downward. Across the federal system, the most common departure is a prosecutor's motion for reduction based on substantial assistance (USSG §5K1.1). Districts with strong cooperation cultures in white-collar, narcotics, or gang cases rank high on below-guideline departure rates.
  • Above-guideline departures are rare nationwide. Upward departures typically reflect aggravating factors the guidelines didn't anticipate, not general judicial severity. A district with a high upward-departure rate often handles specific offense patterns (repeat offenders, crimes against children) that trigger guideline departures. See harshest districts
  • Post-Booker, departures and variances blend together. Since the Supreme Court's 2005 ruling made the guidelines advisory, judges can impose any sentence citing §3553(a) factors. Modern USSC data combines true guideline departures with §3553(a) variances, so "departure rate" is best read as judicial willingness to move from the guideline range. Read about Booker

For educational and research purposes only. "Above GL" = upward departure; "Below GL" = downward departure; "Booker" = §3553(a) variance. Source: U.S. Sentencing Commission, FY2024.

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). Federal Districts by Guideline Departure Rate. PlainSentencing. Retrieved from https://plainsentencing.com/rankings/departures/. Data from the U.S. Sentencing Commission (USSC) Individual Offender Datafiles; public domain (CC0).