Data & Research9 min

The Moving Industry Risk Profile: What Insurers Need to Know

Fleet size, complaint rates, crash data, and operational patterns that define risk in the household goods moving industry. Data from 23,789 profiled carriers.

|Trunk Research
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Industry Overview

The moving industry has a 15% two-year failure rate, a 21% complaint rate, and crash rates that vary 10x between the best and worst operators.

The household goods moving sector comprises 23,789 carriers registered with FMCSA as of mid-2026. Of these, approximately 9,400 hold active operating authority. The remainder have authority that is inactive, revoked, suspended, or pending.

The industry is dominated by small operators. The median fleet size is 3 trucks, and the average is 8 trucks, pulled upward by a small number of large carriers. The median company age is 5 years, with an average of 9 years. These figures reflect the high churn rate in the industry, where new entrants regularly replace companies that fail or lose authority.

Understanding this fragmented, high-turnover landscape is essential for anyone underwriting, insuring, or providing compliance services to the moving industry.

Risk by Fleet Size

Fleet size is the single strongest predictor of risk in the moving industry, but the relationship is not linear. Risk is highest among the smallest operators, drops to its lowest point in the 20 to 50 truck range, and then rises again for the largest carriers.

Companies with 1 to 5 trucks have the highest complaint rates (0.34 complaints per company per year), the highest crash rates (relative index of 1.8x industry average), and the highest failure rate (22% within two years). These companies are typically undercapitalized, understaffed, and lack formal safety and quality programs.

Mid-sized operators with 20 to 50 trucks represent the lowest-risk bracket. They have complaint rates of 0.11, crash rate indices of 0.6x, and two-year failure rates of just 5%. These companies are large enough to have dedicated safety managers, quality programs, and claims departments, but small enough to maintain operational oversight.

The largest carriers (100+ trucks) show slightly elevated risk metrics compared to the 20 to 50 truck bracket. Complaint rates rise to 0.16, and crash rate indices increase to 0.9x. This likely reflects the management complexity of large fleets and the use of independent contractors and agents that reduce direct operational control.

Geographic Risk Distribution

Risk in the moving industry is not evenly distributed geographically. Five states account for a disproportionate share of complaints, enforcement actions, and documented fraud.

Florida leads all states in complaint rate per carrier, enforcement activity, and documented fraud network activity. The concentration of moving companies in South Florida, combined with the high volume of interstate moves to and from the state, creates an environment where complaint-generating operators thrive.

New Jersey, New York, California, and Georgia round out the top five states for moving industry risk. New Jersey and New York benefit from proximity to a massive population base but also host a concentration of broker operations that generate complaints. California's risk is driven partly by the volume of long-distance moves and partly by the number of carriers operating in the state. Georgia, particularly the Atlanta metro area, has seen rapid growth in moving companies, many of which are new entrants with limited track records.

For underwriters, the geographic distribution of a carrier's operations should be a material factor in risk assessment. A 10-truck carrier based in South Florida faces a fundamentally different risk environment than a 10-truck carrier based in Minnesota.

Seasonal Risk Patterns

The moving industry's risk profile varies dramatically by season. Summer months (June through September) account for approximately 65% of annual move volume and an even higher share of complaints and claims.

The seasonal pattern is driven by several factors. Volume spikes force carriers to hire temporary labor, rent additional trucks, and accept more bookings than they can comfortably handle. Crew experience drops as seasonal workers replace year-round staff. Equipment utilization increases, raising the probability of mechanical failures and accidents.

Claim volume peaks in July and August, when relative claim volume reaches approximately 1.8x the annual average. Complaint volume peaks slightly later, in August and September, as consumers who moved during the summer file complaints after realizing damage or experiencing delivery delays.

The winter months (November through February) represent the lowest-risk period, with relative claim and complaint volumes at 0.4x to 0.6x the annual average. For insurers, this seasonality has implications for both pricing and claims reserve management.

Red Flags for Underwriting

Several indicators in publicly available data serve as reliable red flags for underwriting moving companies.

New authority (less than 2 years old) is the strongest single predictor of elevated risk. Companies under 2 years old have complaint rates 3.2x higher than companies with 5+ years of operating history, and their two-year failure rate is 22%.

Broker-only operations, where the entity arranges moves but does not own trucks or employ crews, carry a distinct risk profile. Broker complaints often involve estimate fraud and failure to vet subcontracted carriers. Brokers also face regulatory risk from the FMCSA's ongoing scrutiny of the broker-carrier relationship.

Complaint acceleration, defined as a year-over-year doubling of complaint volume, is a leading indicator of operational deterioration. Companies experiencing complaint acceleration are 4.2x more likely to face a compliance review within 18 months.

Shared addresses, where multiple USDOT numbers are registered at the same physical location, are a hallmark of chameleon carrier operations. While shared addresses have legitimate explanations (shared office space, multiple legitimate entities), the correlation with fraud and complaint history is strong enough to warrant additional scrutiny.

The Clean Operator Profile

Just as the data reveals risk indicators, it also identifies the characteristics of the lowest-risk operators in the industry.

The cleanest operators share several common traits. They have been operating for 10 or more years with continuous authority. They operate fleets of 20 or more trucks (large enough for dedicated safety staff, small enough for direct oversight). They have zero or near-zero FMCSA complaints over the trailing 3-year period. They maintain BBB accreditation with an A or A+ rating. They are owner-operated or have stable management teams with low turnover.

These operators represent approximately 8% of all registered household goods carriers but generate less than 1% of total complaints. Their crash rates are 70% below the industry average, and their customer retention rates (repeat and referral business) exceed 40%, compared to an industry average of approximately 15%.

For insurers, identifying and retaining these clean operators is as important as identifying and pricing risk for the problematic ones. Preferred pricing programs that reward operational excellence can attract the best operators while encouraging others to improve.

Data

Household Goods Moving Industry Overview

MetricValue
Total Registered HHG Carriers23,789
Active Operating Authority~9,400
Average Fleet Size8 trucks
Median Fleet Size3 trucks
Average Company Age9 years
Median Company Age5 years
2-Year Failure Rate15%
Industry Complaint Rate21% (at least 1 complaint)
Chameleon Carrier Cases Documented340+

Source:

Risk Metrics by Fleet Size

Fleet SizeComplaint Rate (per co/year)Crash Rate Index2-Year Failure RateAvg Company Age
1 to 5 trucks0.341.8x22%4 years
6 to 10 trucks0.221.2x14%6 years
11 to 20 trucks0.160.9x9%8 years
20 to 50 trucks0.110.6x5%12 years
50 to 100 trucks0.130.7x4%15 years
100+ trucks0.160.9x3%18 years

Source:

Geographic Risk: Top 10 States by Complaint Rate

StateRegistered CarriersComplaint Rate (per carrier)Enforcement Actions (2021 to 2026)
Florida2,8900.4246
New Jersey1,3400.3830
New York1,8200.3527
California2,6400.3124
Georgia9800.2915
Illinois1,2100.2719
Texas1,6800.2416
Maryland6200.2311
Virginia5800.219
Pennsylvania7400.198

Source:

Seasonal Risk: Monthly Claim and Complaint Volume (Relative Index)

MonthRelative Claim VolumeRelative Complaint Volume
January0.4x0.5x
February0.4x0.5x
March0.6x0.6x
April0.7x0.7x
May1.0x0.9x
June1.4x1.2x
July1.8x1.5x
August1.7x1.8x
September1.3x1.6x
October0.8x1.0x
November0.5x0.6x
December0.4x0.5x

Source:

Underwriting Red Flags

IndicatorRisk LevelWhat It Signals
Authority under 2 years oldHigh3.2x complaint rate, 22% failure probability
Broker-only (no trucks owned)ElevatedEstimate fraud risk, subcontractor quality issues
Complaint count doubled YoYHighOperational deterioration, compliance review likely
Shared address with other USDOT numbersElevatedPossible chameleon carrier or fraud network
Insurance lapse in past 24 monthsHighCash flow problems, possible authority suspension
Fleet growth exceeding 50% in 12 monthsModerateScaling risk, quality control challenges
No physical address (virtual office)ElevatedBroker-only or shell operation indicators

Source:

Profile of Lowest-Risk Operators (Top 8%)

CharacteristicThresholdIndustry Average for Comparison
Operating History10+ years continuous5 years median
Fleet Size20+ trucks3 trucks median
FMCSA Complaints (3-year)0 to 12.4 average
BBB RatingA or A+B+ average (among rated)
Crash Rate Index0.3x or lower1.0x (baseline)
Customer Retention40%+ repeat/referral15% industry average
Insurance ContinuityNo lapses ever12% have had a lapse

Source:

Sources: FMCSA SAFER System, FMCSA National Consumer Complaint Database (NCCDB), Trunk research database (23,789 profiled carriers), FMCSA crash and inspection data, public court records.

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