National Trailer Inventory
American Red Cross — April 2, 2026
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Range Filters
Length (ft)
Min 5
Max 55+
Age (years)
Min 0
Max 50+
Quick Filters
Status
Axle Count
Geography
Division
Region
Chapter
Trailer Details
Trailer Function
Layers & Info
Click any trailer or chapter HQ on the map to see details here.
Trailers
Trailer Locations
1,494 mapped
Chapter HQs & Drive Rings
Chapter HQ Locations
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1-Hour Drive (~55 mi)
Opacity 25%
2-Hour Drive (~100 mi)
Opacity 18%
3-Hour Drive (~150 mi)
Opacity 12%
Drive times are estimates. Actual times vary by route and conditions.
ARC Geography Boundaries
Divisions
Regions
Chapters (zoom in)
Counties (zoom in)
Inventory Analysis
Distributions across the 1,494 geocoded trailers.
Top 15 Makes
Age Distribution
Length Distribution (ft)
Axle Count
Trailers by Division
Active vs. Inactive by Division
Trailer Function
Age vs. Length — Active vs. Inactive
Fleet Composition by Make
Each rectangle sized by trailer count — darker red = more trailers. Hover for details.
Division: Trailer Count vs. Average Age
Bubble size = relative count  |  Color: green = younger fleet, red = older fleet
Data Quality Report
How 1,694 raw survey responses became an analysis-ready dataset.

The April 2, 2026 national trailer inventory was collected by field staff and volunteers submitting data through a structured form. Because respondents entered values manually in free-text fields — rather than selecting from a controlled list — the raw dataset reflects the full range of real-world data entry: inconsistent units, varied date formats, truncated brand names, and missing or ambiguous values.

This report documents the cleaning and standardization pipeline applied before analysis. Three fields required significant transformation: trailer length (inconsistent formats), model year (mixed date representations), and trailer make (free-form brand names with no canonical list). Each field was parsed with custom logic, and every transformation decision is surfaced in the tables below so the methodology is fully auditable.

Of 1,694 records received, 1,494 were successfully geocoded to a street address. The remaining 200 records had addresses or element numbers that could not be matched against the existing geocode reference and were excluded from the map.

1,694
Total records
Lengths resolved
Years resolved
1,494
Geocoded
Known brands
Trailer Length — Before & After
Respondents entered trailer length in whatever format felt natural — resulting in values like "16 ft", "16'", "192 inches", "8x16", "8 x 16 foot", and plain numbers with no unit. The cleaning pipeline applied a rules cascade: first extracting explicit foot values, then converting inch values, then resolving width-by-length pairs (e.g., "8x16") by taking the larger dimension. Values that couldn't be confidently parsed were left null rather than guessed.
Raw InputCleaned length_ftParse method
Model Year — Before & After
Year entries arrived as full ISO dates, localized date strings, 4-digit years alone, and year embedded in text. A regex pipeline extracted the 4-digit year component from each pattern. Values outside the plausible range (pre-1970 or post-2026) and non-date values were set to null. Age in years is derived from 2026 minus the cleaned year.
Raw InputCleaned model_yearAge in 2026
Trailer Make — Before & After
Make was the dirtiest field in the dataset. The same manufacturer appeared under dozens of spellings. The cleaning dictionary maps observed variants to a canonical form for each known brand. Generic entries and unrecognized values were mapped to Unknown rather than fabricating a brand assignment.
Raw InputCanonical MakeRecords affected
Report Variance — March vs. April 2026
What changed in the 31 days between surveys?

Each column compares a field survey count against Element inventory. Mar Survey = active trailers found in March 2026. Apr Survey = active trailers found April 2, 2026.

Positive difference = survey found more trailers than Element expects. Negative = survey found fewer. Survey Change (Mar→Apr) tracks whether each region improved or declined between the two pulls.

Region Mar InventoryMar SurveyMar Diff Apr InventoryApr SurveyApr Diff Survey Change
Our Fleet
1,494 trailers in the database — what they look like and how old they are

1,494 trailers. A fleet built over three decades.

The three most common brands average 18–23 years in service. The images below show factory-new stock — field units will vary based on age, use, and chapter modifications.

Haulmark enclosed cargo trailer
H
Avg 17.7 yrs
Haulmark
200 Trailers  ·  Range: 10–31 yrs
11.7% of fleet — Largest make
Wells Cargo enclosed trailer
W
Avg 23.3 yrs
Wells Cargo
184 Trailers  ·  Range: 4–37 yrs
10.8% of fleet — Oldest avg age
Pace American enclosed cargo trailer
P
Avg 19.8 yrs
Pace American
163 Trailers  ·  Range: 11–32 yrs
9.6% of fleet
Kaufman enclosed trailer
K
Avg 8.1 yrs
Kaufman
87 Trailers  ·  Range: 8–14 yrs
5.1% of fleet — Newest avg age
Interstate enclosed cargo trailer
I
Avg 18.0 yrs
Interstate
50 Trailers  ·  Range: 10–27 yrs
2.9% of fleet
Photos show factory-new stock. ARC fleet is significantly older and condition is unknown.
National Trailer Inventory
American Red Cross — April 2, 2026 Field Survey
maps.jbf.com/trailer-study
Trailers Shown
Active
Inactive
Lost / Unknown
Divisions
Chapters
Map snapshot