How do detention population levels correlate with in-custody death rates across ICE fiscal years?
Executive summary
Across fiscal years there is not a single, mechanical relationship between how many people ICE detains and how many die; instead the record shows periods when death rates rose even as populations fell (notably FY2020 during the COVID-19 surge) and periods when large increases in population coincided with more deaths in absolute terms (notably 2024–2025), meaning population size is one of several amplifying factors rather than the lone driver of mortality [1] [2] [3].
1. Detention population and death-rate snapshots: the numbers say “complex” not “linear”
Published analyses calculate death rates per 100,000 admissions that fell in 2018–2019 (2.303 and 1.499), spiked sharply in FY2020 to 10.833 amid the COVID-19 pandemic, then moderated in FY2021–2023 to 3.251, 0.939, and 1.457 respectively, while average daily population (ADP) trended down during FY2021–2023 — a pattern that shows death rates can rise even when ADP falls and vice versa [1] [2].
2. When extraordinary conditions hit, rates can spike independent of headcount
The FY2020 spike demonstrates that a special stressor — in that case the uncontrolled spread of COVID-19 inside facilities — can produce a very high death rate per admission even as overall admissions and detainee movements fluctuated, undercutting any simple claim that more beds always equals more deaths per person [1].
3. When populations surge, absolute deaths typically follow; oversight and staffing matter
Reporting from 2025 shows dramatic increases in the detained population (mid-December 2025 counts cited at ~68,440 and roughly 60–66,000 earlier in the year) accompanied by a rise in absolute deaths — dozens in 2025, the highest annual totals since 2004 — and former officials warn that understaffing of medical and oversight functions during rapid expansion amplifies mortality risk, suggesting that population surges raise absolute deaths unless counterbalanced by investments in care and inspections [4] [3] [5] [6].
4. Alternative interpretation: normalized rates can appear flat, agencies contest “surge” framing
DHS and agency statements argue that when deaths are measured against detention population size the overall death rate remains consistent with prior years, and they point to expanded capacity and continued medical access as mitigating factors, highlighting that raw death counts and rates per admission tell different stories and both must be examined [7] [8].
5. Mechanisms linking population size to deaths — conditional, not deterministic
Higher ADP creates predictable stressors — overcrowding, stretched medical staffing, and increased demand for oversight — which heighten the chance of preventable deaths; advocates and watchdogs cite reduced inspections and staffing as causal contributors to recent mortality increases, but the record also shows non-population events (pandemic waves, facility-specific failures) can independently drive death-rate spikes [4] [6] [2].
6. Data, methodology and limits: why correlation is noisy
Available studies rely on ICE death reports, ADP and admissions data published by ICE and compiled by researchers; those sources allow calculation of deaths per 100,000 admissions but carry limits — delayed reporting, cases of people released shortly before death, and changing definitions or reporting styles across administrations — so statistical correlation between population and death rates is real but confounded by reporting practices and episodic events [2] [9] [10].
7. Bottom line — correlation exists but is context-dependent; causation requires more granular study
The empirical picture is: large, sustained increases in the detained population have been associated with higher absolute numbers of deaths and advocates warn of predictable harms when oversight and medical staffing lag expansion, yet historical spikes in death rates (FY2020) also occurred without population growth and DHS disputes claims of a normalized surge when rates are adjusted for population — therefore population levels correlate with mortality only as one factor among staffing, oversight, contagion, and facility-level failures, and attributing causation requires case-level investigation beyond headline counts [1] [4] [7] [2].