Product category

Lawn & Garden Equipment

This category tracks 48 consumer products in the CPSC NEISS injury database, together accounting for roughly 311,508 emergency-room visits a year - the 12th-highest of 26 tracked categories by ER volume.

48
products tracked
311,508
ER visits / year
35
avg danger score
7.0%
avg hospitalization rate

What the CPSC data shows

Lawn Mowers, Not Specified is the most dangerous product in Lawn & Garden Equipment, scoring 47/100 with about 44,445 ER visits a year.

0
high-risk products (score 60+)
11
moderate-risk (40–59)
44,445/yr
Lawn Mowers, Not Specified (most ER visits)
5↑ / 22↓
worsening / improving (5-yr)

All figures come from the CPSC NEISS dataset (2005–2024); products are sorted by danger score so the highest-risk items surface first.

Where injuries concentrate in Lawn & Garden Equipment

Estimated average annual ER visits for the highest-volume products in this category.

Lawn Mowers, Not Spe…44K/yrChain Saws28K/yrOther Unpowered Gard…25K/yrManual Snow Or Ice R…25K/yrPruning Or Trimming …22K/yrGreenhouse Or Garden…18K/yrPower Lawn Mowers, N…16K/yrGarden Hoses, Nozzle…16K/yr
Top products in Lawn & Garden Equipment by annual ER visits

The Lawn & Garden Equipment safety profile

Average danger score across the 41 scored products, and how they split across the danger tiers.

Average danger score

0/100100/10035/100
Average danger score
High risk (60+): 0 Moderate (40–59): 11 Low (<40): 30

Every product in Lawn & Garden Equipment, by danger score

Score Product
47 Lawn Mowers, Not Specified
44 Snow Throwers, Blowers
44 Manual Snow Or Ice Removal Tools
44 Riding Power Lawn Mowers
43 Decorative Yard Equipment, Excl Water Features
42 Garden Hoses, Nozzles Or Sprinklers
41 Power Lawn Mowers, Not Specified
41 Chain Saws
41 Greenhouse Or Gardening Supplies (excl Hoses, Sprayers, Etc
41 Pruning Or Trimming Equipment, Not Specified
40 Other Unpowered Garden Tools
39 Leaf Blowers
38 Rotary Power Lawn Mowers
38 Log Splitters
38 Lawn Trimmers Or Edgers, Powered (excl. Brushcutters)
37 Hatchets Or Axes
37 Manual Hedge Trimmers
37 Decorative Water Features, Incl Man-made Ponds & Fountains
36 Manual Push Mowers (unpowered)
36 Decorative Yard Equipment
36 Wheelbarrows Or Lawn Carts
36 Power Hedge Trimmers
36 Outdoor Electric Lighting Equipment
35 Manual Pruning Or Trimming Equipment, Not Specified
34 Garden Tractors
34 Power Leaf Mulchers And Grinders
34 Power Pruning Or Trimming Equipment, Not Specified
34 Pumps, Not Elsewhere Classified
33 Animal Traps
32 Power Tillers Or Cultivators
32 Manual Lawn Trimmers Or Edgers
31 Other Power Pruning Or Trimming Equipment
30 Seed And Fertilizer Spreaders
30 Other Manual Pruning Or Trimming Equipment
29 Other Power Garden Tools
28 Brushcutters, Powered
27 Grass And Leaf Catchers (attachments For Lawn Mowers)
27 Plant Foods Or Fertilizers For Potted Plants
26 Garden Sprayers
25 Insect Traps, Powered
19 Lawn Vacuums

What this means in Lawn & Garden Equipment

Use the danger score to triage, then open a product page for the full age, body-part, and severity breakdown.

  • Pay closest attention to Lawn Mowers, Not Specified - the highest-scoring product in this category. See the data
  • Compare this category against the full danger rankings to see where it sits nationally. All rankings
  • Cross-check specific models against open CPSC recalls before you buy or keep one. CPSC recalls

NEISS injury estimates are nationally weighted projections from a sample of ER visits, they show relative risk between products, not exact counts.

Source: U.S. Consumer Product Safety Commission, National Electronic Injury Surveillance System (NEISS), 2005–2024.

Source: CPSC SaferProducts.gov consumer incident reports and CPSC recall announcements.

Disclaimer: This information is provided for general informational purposes only and does not constitute professional, medical, or safety advice. Data is sourced from the U.S. Consumer Product Safety Commission (CPSC); PlainSafety is an independent project and is not affiliated with the CPSC. Consult a qualified professional before making decisions based on this data.