Top 10 Consumer Products by ER-to-Hospitalization Rate

PlainSafety's ranking of consumer products by the share of ER-treated injuries severe enough to require inpatient hospitalization, surfacing the categories with the highest per-incident severity profile.

Research period: 2026-05-17

Compiled by PlainSafety Editorial, Consumer Product Safety Editorial Team · May 17, 2026

Research question

Among consumer products with meaningful annual injury volume, which carry the highest hospitalization rate, the share of ER incidents that escalate to inpatient admission?

Methodology

This ranking reflects the data currently in our database, sourced from the agency referenced in the citation below and updated automatically as new filings are processed.

Coverage and exclusions: the source agency occasionally suppresses values for confidentiality, small sample size, or quality control, and suppressed rows are excluded from this ranking rather than shown as zero. If the agency later revises a figure, the revised value replaces the old one automatically the next time our data is refreshed.

Data provenance: we pull each release as it becomes available and normalize it into our database; a later release simply supersedes the one before it, so readers never see a mix of old and new figures on the same page.

Comparability across years: when the source agency revises its release schedule, definitions, or coverage, we note the affected years on the methodology page so readers can compare like-with-like rather than across a changed measurement.

Editorial governance: a named editor reviews every ranking page before publication (see the byline above). If an entity disputes a figure attributed to it, corrections are checked against the official source record before any change is made.

Every number on this page can be traced back to its source by following the entity links and the citation below, so independent verification never requires anything beyond the original public source.

See the methodology page for the complete data-update process, source vintage, and field definitions.

The ranked top 10

Every row below reflects the current 10-record dataset. Reload the page after new data is processed to see the latest values.

#	Product	Category	Hospitalized %	Annual injuries	Severity index	Risk level
1	CRUTCHES, CANES OR WALKERS	Home Medical & Assistance Devices	27.4%	100,182	27.63	Moderate
2	TOILETS	Home Furnishings & Fixtures	26.0%	127,074	27.13	Moderate
3	GENERAL HOME OR ROOM INVOLVEMENT IN FIRES	Building Materials & Home Structures	25.1%	14,776	50.88	High
4	ALL TERRAIN VEHICLES (# OF WHEELS UNSPECIFIED/OFF ROAD)	Sports Protective Equipment & Gear	24.7%	27,170	27.13	Moderate
5	MASSAGE DEVICES OR VIBRATORS	Personal Care & Safety Products	23.7%	4,048	24.04	Moderate
6	SCALES, NOT ELEC. OR BATTERY OR NOT SPECIFIED	Floors, Walls & Ceilings	22.6%	2,263	22.61	Moderate
7	GASOLINE	Home Workshop Tools & Equipment	22.3%	12,683	22.49	Moderate
8	TREE STANDS (HUNTING)	Building Materials & Home Structures	22.2%	5,124	22.36	Moderate
9	FLOORS OR FLOORING MATERIALS	Building Materials & Home Structures	21.7%	1,573,276	22.64	Moderate
10	POWER-ASSISTED CYCLES, NOT ELSEWHERE CLASSIFIED	Swimming, Water & Beach Equipment	20.8%	45,933	21.88	Moderate

Source: U.S. Consumer Product Safety Commission, CPSC NEISS National Electronic Injury Surveillance System. Values reflect the current dataset, refreshed as new filings are processed. U.S. Consumer Product Safety Commission, CPSC NEISS National Electronic Injury Surveillance System. Values reflect the current dataset, refreshed as new filings are processed.

Findings

Top entity in the ranking

The top-ranked record in this dataset is CRUTCHES, CANES OR WALKERS, with a value of 27.4% on the Hospitalized % column. The full top-10 set is rendered in the table above. Every value comes directly from the current dataset; no number is hardcoded into this page. When the U.S. Consumer Product Safety Commission publishes a revision, the ranking and the prose around it update automatically.

Distribution shape

The gap between the top-ranked record (27.4%) and the 10th-ranked record (20.8%) characterizes how concentrated the top of the distribution is. Where the top value is many multiples of the median value of the visible set, the population is highly concentrated, a small number of entities accumulate the bulk of the measured quantity. Where the top and bottom of the visible set are close together, the distribution is relatively flat across the top end. The full distribution beyond this top-10 cut is summarized in the aggregate context section below and explored in the linked entity profiles.

Aggregate context

Across the full population behind this ranking, here are the summary statistics: how many records exist in total, the sum of the ranking metric across all qualifying records, and the mean per-record value. The methodology page documents the exact filter applied (records with null or zero values on the ranking metric are excluded). This aggregate row is computed from the same dataset that powers the ranking above.

Source provenance

The records in this ranking originate from U.S. Consumer Product Safety Commission, specifically the CPSC NEISS National Electronic Injury Surveillance System. PlainSafety ingests the source vintage published by the agency and keeps this page current, there is no static export carrying stale numbers, and a newly published dataset is reflected here within hours. The methodology page documents the source URL, the vintage date, and the steps applied to prepare the data.

Why this ranking matters

Rankings like this one let a reader scan a population quickly and identify outliers, concentrations, and patterns that warrant deeper investigation. The detail pages linked from each entity in the table above give the full per-entity context: time-series history where available, related metrics from adjacent tables, and links onward to the underlying source records. The methodology page explains how an entity earns inclusion in the dataset and how the ranking column is computed at the source.

What this analysis cannot tell us

Hospitalization rate is calculated from NEISS sample records where the disposition code indicates inpatient admission, transfer for hospitalization, or held for observation. Rates can vary significantly year to year on lower-volume products due to sampling variance, so the >=1,000 annual injury threshold filters out products whose hospitalization rates would be unstable. Hospitalization decisions reflect clinical judgment that varies by ER protocol, patient age and comorbidities, insurance coverage, and product use-context (occupational, recreational, household). A high hospitalization rate is not a regulatory determination; it is an empirical descriptor of incidents that reached the inpatient threshold of care. Severity index combines hospitalization and fatality rates into a composite score and inherits the limitations of both inputs.

Sources

CPSC NEISS, Disposition coding reference - https://www.cpsc.gov/Research--Statistics/NEISS-Injury-Data