Load density is the weight you move per kilometer traveled: kilograms transported ÷ kilometers traveled (= kg/km). On Mexico–U.S. distribution it is a utilization signal for FTL and LTL — how much freight “earns” the distance — not a substitute for drop size, km per delivery, or On Time In Full (OTIF).
- operable formula (kg/km)
- kg ÷ km
- that is kg ÷ stops
- ≠ drop size
- service ≠ utilization
- ≠ OTIF
- unloaded km lower kg/km
- Empty dilutes
What load density (kg/km) is
In Mexican operations, load density answers: how many kilograms “fit” into each kilometer you already ran? It is a key performance indicator (KPI) for network utilization — useful when you compare full truckload (FTL), less-than-truckload (LTL), or when you suspect you are paying distance without weight.
It does not measure whether the truck hit the appointment, or how much you left at each dock. It also does not replace logistics cost in pesos: a high kg/km with uncontrolled diesel and detention can still destroy margin.
Service context (not density): the 4th National Logistics Indicators Study 2026 (#SoyLogístico / LDM / EGADE) reports customer delivery fill rate near ~93% in its sample. Use it to calibrate fill expectations — not to invent a “world-class kg/km.”
Formula, units, and period
Freeze numerator, denominator, and window before you publish the number. If you mix estimated weight with incomplete GPS, kg/km becomes theater.
Numerator
Operable definition: kg transported in the universe
Lock in writing: Manifest weight, scale weight, or SKU theoretical?
Denominator
Operable definition: km traveled in the same universe
Lock in writing: Loaded leg only, or outbound + empty + return?
Result
Operable definition: kg ÷ km (= kg/km)
Lock in writing: Same basket when comparing carriers or months
Period
Operable definition: Month or 20–30 business days per lane
Lock in writing: Do not average the whole network on day one
Density vs drop size, km/stop, and OTIF
Three route cousins and one service KPI. If you merge them into one dashboard cell, operations and finance will fight over the same number with different meanings.
Load density
Formula: kg ÷ km
Question it answers: How much weight per kilometer?
Typical mistake: Using it as the customer scorecard
Formula: kg ÷ stops
Question it answers: How much do you leave per stop?
Typical mistake: Raising drop size while breaking OTIF
Formula: km ÷ stops
Question it answers: How capillary is the route?
Typical mistake: Calling it an “efficiency %”
Formula: orders on time AND in full ÷ total
Question it answers: Did you keep the promise?
Typical mistake: Averaging OTD and fill rate

FTL vs LTL vs capillary: what density means
The same kg/km reads differently by mode. In FTL you fill equipment and minimize empty miles. In LTL you watch consolidation. In capillary (many small stops), a “low” density is often the price of covering the map — not an automatic yard failure.
FTL (full truckload)
What high kg/km usually means: Good weight/cube fill on the loaded leg
What low kg/km usually means: Half-empty equipment or many empty km in the cycle
Typical lever: Better stowage, backhaul, less repositioning
LTL (consolidated)
What high kg/km usually means: Good utilization of the attributed consolidated trip
What low kg/km usually means: Small lots + high pickup/dispersion km
Typical lever: Consolidation windows, FTL vs LTL threshold
Capillary / last mile
What high kg/km usually means: Geographically dense routes (nearby stops + decent weight)
What low kg/km usually means: Wide coverage, small orders, sparse zones
Typical lever: Zoning, minimum drop size — do not punish useful coverage
Empty miles: how they destroy density
Empty miles are kilometers you pay without generating loaded revenue. In the density formula they act as quiet poison: the denominator grows and the numerator does not.
- Full outbound + empty return: the full cycle dilutes kg/km versus measuring only the loaded leg — declare which one you report.
- Repositioning and false freight: “ready position” km also count if you include them in the universe.
- Comparing carriers: loaded-leg-only vs full-cycle reporters are not comparable.
If density falls month over month with the same shipped weight, audit empty miles and sequencing before blaming the spot rate.
How to read it in Mexico and by lane
On lanes such as Monterrey–Laredo, Bajío–border, or hinterland to Manzanillo, the national average hides the corridor that breaks you. Measure density by lane and by customer, not only the network roll-up.
Money link: low density with high distribution costs usually signals small stops, empty miles, or poor sequencing. High density with broken OTIF signals you optimized weight/km and forgot the appointment. National Study 2026 gives service context (fill rate ~93% sample); it does not publish an official kg/km benchmark — do not invent one.
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How to measure it in 30 days
One month on one lane is enough to stop debating “feelings of utilization” and start deciding stowage, backhaul, or FTL vs LTL thresholds.
Density pilot
From data to decision
Pick a lane
One mode, one month
Lock formula
kg and km written
Tie IDs
Trip + weight + GPS
Split empty
Report % empty
Compare
Vs month and carrier
Decide
Stowage or backhaul
Common mistakes reporting kg/km
Hanging a % or OTIF-style target on kg/km
Why it hurts: Confuses utilization with the customer promise
Fix: Report the ratio (kg/km) and OTIF in separate columns
Mixing drop size with density
Why it hurts: You optimize stops thinking you improved km
Fix: Drop size = kg/stop; density = kg/km
Ignoring empty miles
Why it hurts: You celebrate a full outbound and hide the empty return
Fix: Declare universe: leg vs full cycle
Network average with no lane cut
Why it hurts: The toxic corridor stays invisible
Fix: Cut by lane / customer / mode
Theoretical weight with no sampling
Why it hurts: Fantasy numerator
Fix: Calibrate with scale or manifest audit
OCL and the utilization file
OCL Cargo is an autonomous transportation management system (TMS) with agents: it does not sell a “density dashboard” as the thesis. It ties documented weight, km (GPS / milestones), and evidence under one trip ID so kg/km is auditable. It coexists with your system of record; your team handles exceptions only. When fiscal scope applies, OCL can stamp invoices and Carta Porte — the payment file and the utilization file stop living in different chats.
Related reading
- Distribution KPIs for Mexico–U.S. — hub: formulas, OTIF, drop size, volatility, and the minimum board.
- Drop size — kg per stop.
- Km per delivery — route capillarity (km ÷ stops).
- Empty miles — the km that dilutes density.
- OTIF — on time and in full (service).
- Logistics cost · Distribution costs.
- Dispatch volatility (CV) — utilization’s sibling for fleet vs 3PL.
Key takeaways6 points
- Load density = kg transported ÷ km traveled (kg/km): an FTL/LTL utilization signal, not a service score.
- It is not drop size (kg/stop), km per delivery, or OTIF.
- FTL, LTL, and capillary read the same kg/km differently: in last mile, low density is often the cost of coverage.
- Empty miles inflate the denominator without adding kg: they dilute density even if the loaded leg was full.
- National Study 2026: use fill rate (~93% sample) as service context, not a density target.
- Measure by lane and month; tie weight + km to the trip ID before comparing carriers or modes.
Is your kg/km real utilization — or an average that hides empty miles?
Frequently asked questions
It is weight moved per kilometer traveled: kilograms ÷ kilometers (= kg/km). It summarizes how much freight “earns” each km on the network — not whether you were on time or how much you left at each stop.
No. Drop size is kg ÷ stops (stop size). Density is kg ÷ km (distance utilization). You can have high drop size and low density if empty or long deadhead stretches sit between stops.
Empty miles add km to the denominator without adding kg to the numerator. Every unloaded kilometer dilutes kg/km. That is why FTL with an empty return often looks worse than the loaded leg alone.
There is no universal published target. It depends on mode (FTL, LTL, or capillary), weight per unit, and lane. Calibrate with your own history by route. The National Logistics Indicators Study 2026 speaks to service (e.g. ~93% delivery fill rate in its sample), not an invented density %.
No. OTIF (On Time In Full) measures the customer promise. Density measures distance utilization. A dense trip can arrive late; a diluted trip can arrive perfect.
Often, if you fill weight/cube and control empty miles. In LTL, the consolidated trip density can be high even if your lot is small; what matters is which km and kg you attribute to your account. In capillary delivery, kg/km is usually lower — that is often the price of coverage.
OCL ties real km (GPS / milestones), documented weight, and the trip file under one ID so kg/km stops living in a loose spreadsheet. It does not invent “world-class” density; it makes numerator and denominator auditable.
