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Filing-to-Discharge Lag Distribution

How long does a federal bankruptcy actually take from petition to discharge order? 128,000+ closed cases in our corpus — full percentile breakdown by chapter and by district.

104
Ch.7 median lag (days)
1,728
Ch.13 median lag (days = 4.7 years)
1,090
Ch.11 median lag (days = 3.0 years)
98 – 122
Ch.7 p25-p50 spread — very tight

Lag percentiles by chapter

Chapternp5p25p50p75p90p99
Ch.787,68390981041262471,357
Ch.1340,2019161,2831,7281,8901,9642,353
Ch.112622534861,0902,3322,9804,043
Read the Ch.7 distribution carefully. The 90 – 247 day band (p5 to p90) is suspicious-looking concentration around the statutory minimum waiting period after the 341 meeting (60 days post-petition for objection deadline + a few weeks for discharge order). The p99 of 1,357 days reflects asset cases or adversary-tied delays.

Median Ch.7 lag by district (top 20 by volume)

Districtnp25p50p75p90
mowbk19,45296102119225
flsbk18,53099104117284
ksbk17,26998113147295
txsbk10,59496104133469
cacbk4,987101103109122
ilnbk3,257102109115134
ohnbk3,06898103112162
flmbk2,84697105122207
mabk1,183108122168327
nyebk980108118140188
mnbk377909498102

Median Ch.13 lag by district (top 20 by volume)

Districtnp25p50p75p90
ksbk11,9081,2741,6301,9001,974
flsbk9,4451,1881,6601,8751,939
mowbk8,2391,3361,7001,8431,922
txsbk6,2391,5241,8621,9161,971
ilnbk9171,3631,7421,8811,982
flmbk6069811,3041,8491,939
insbk3961,5361,8811,9352,013
kyebk2431,7501,8551,8901,941
kywbk2001,7851,8631,9222,031
Download the data (CC BY 4.0):
filing_lag_by_chapter.csv filing_lag_ch7_by_district.csv filing_lag_ch13_by_district.csv

Notable patterns

Methodology

Source: 220,037 federal bankruptcy cases. Filtered for cases with non-null date_filed and date_discharged. Capped at 5,000 days (negative or extreme outliers excluded). Only cases that actually received discharge are in the population — dismissed cases are excluded by design.

Survivorship caveat. This dataset captures lag among cases that completed. Cases that dismissed don't appear here. A district with high dismissal rate could have either fast discharges (because slow cases drop out) or slow discharges (because the system is sticky); cross-reference with our quick-dismissal dataset to disentangle.

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