U.S. Distribution Sourcing Exposure: What Freight-Flow Data Can Show

Unbranded freight trucks, containers and railcars at an intermodal terminal viewed from above.
“A regional freight map is a question about exposure. A sourcing decision begins when the buyer can connect that question to its own lanes and service obligations.”
— Stan Moskovtsev, Co-Founder & U.S. CEO

Which modes carry U.S. shipments, by value and by weight?

In the 2022 Commodity Flow Survey, trucks carried 68.1% of the weight shipped by in-scope establishments, rail 12.0% of the weight but 3.2% of the value, and parcel services 13.4% of the value, so the mode a category depends on changes with whether its exposure is counted in tons or in dollars. Zinit Research charts both by mode, and the check under the chart shows the same split for any of the 41 commodity groups the survey publishes.

Zinit Research · Census and BTS, 2022 Commodity Flow Survey

Trucks carried 73.5% of the value of 2022 CFS shipments, and parcel services 13.4% on 0.5% of the weight

Share of the value and of the weight of shipments by establishments in the survey’s scope, by mode, 2022. Multiple-mode shipments appear in their own rows (truck and rail; parcel, U.S.P.S. or courier). The survey leaves out imports.

Truck73.5%68.1% by weight
Rail3.2%12.0% by weight
Truck and rail3.3%6.9% by weight
Water1.0%3.6% by weight
Pipeline3.3%6.6% by weight
Air (includes truck and air)0.9%0.0% by weight
Parcel, U.S.P.S. or courier13.4%0.5% by weight
Other, unknown or not published1.7%2.3% by weight

See how one commodity group moves

Plastics and rubber, 2022, share by mode

Truck80.1%63.4% by weight
Rail6.4%16.2% by weight
Truck and rail5.3%16.1% by weight
Waternot published–– by weight
Pipeline0.4%– by weight
Air (includes truck and air)0.3%0.0% by weight
Parcel, U.S.P.S. or courier5.6%0.9% by weight
Other, unknown or not published1.9%3.3% by weight

In 2022 the survey’s shippers sent 239.6 million tons of plastics and rubber worth $769.9 billion. By weight, truck carried 63.4%, rail 16.2%, truck and rail 16.1%; by value, truck carried 80.1%, and the average shipment travelled 514 miles against 552 for all commodities. Census publishes no figure, or withholds one, for water and pipeline with this commodity; what is missing sits in the last row. The survey counts in-scope shippers only, so set this mix beside your own shipment ledger by mode before treating it as your category’s exposure.

Share: mode’s value (or tons) ÷ the commodity’s total across all modes. A dash is a cell Census does not publish for that commodity and mode.

Source: U.S. Census Bureau and Bureau of Transportation Statistics, 2022 Commodity Flow Survey, table CF2200A10, released June 26, 2025. Shares computed by Zinit Research from the published value ($ million) and weight (thousand tons). Chart: Zinit Research. Data and method

What is the unit of observation?

The Census description of the Commodity Flow Survey calls it a shipper-based measure of domestic freight. It collects commodity, value, weight, origin, destination and mode information from establishments in its defined population. That makes the survey useful for understanding broad movement, but its reporting unit is not a procurement event. A distribution company’s purchase order, negotiated carrier rate, warehouse service agreement and customer delivery promise are different records. A map built from the survey should therefore be labeled as a public movement view, with the population and unit visible to everyone who uses it.

The same survey scope excludes imported shipments and those originating in U.S. territories. It covers mining, manufacturing, wholesale trade, selected retail and services, and some auxiliary establishments within scope. Census describes a sampled establishment design rather than a census of every buyer lane. For a distributor moving imported inventory through several facilities, those boundaries matter before anyone draws a coverage map. The public view can help ask which regions or commodity classes deserve attention; it cannot certify that the company’s actual shipments are represented in the same proportion.

Wholesalers shipped 45.0% of the value the survey counts

Wholesale establishments shipped 45.0% of the value in the 2022 survey and manufacturers 39.3%, with warehouses run by in-scope companies at 7.5% and electronic shopping and mail-order houses at 5.6%. A distributor’s outbound load therefore enters the survey as a shipment from its own establishment, and wholesale shipments averaged 438 miles against 666 for manufacturers and 103 for grocery wholesalers. The purchase order, the carrier’s rate and the delivery promise behind each of those shipments are records the survey never collects.

Share of 2022 CFS shipments by the industry of the shipping establishment

Wholesale trade45.0%33.8% by weight
Manufacturing39.3%40.7% by weight
Warehousing and storage7.5%2.5% by weight
Electronic shopping and mail-order houses5.6%0.4% by weight
Mining (except oil and gas)0.6%20.7% by weight
Other industries in scope2.1%1.8% by weight

Source: Census and BTS, 2022 CFS, table CF2200A04 (industry of the shipping establishment, NAICS 2017). “Other industries in scope” is the remainder of the published total. The table carries footnote codes whose text sits in the table notes on data.census.gov. Chart: Zinit Research. Data and method

How fresh is a freight table?

A Census data page identifies the Commodity Flow Survey’s observation vintage and the later release of its tables and public-use data. That distinction prevents a common sourcing mistake: calling a released table “current” without saying when the shipments occurred. In a working paper, retain the source title, version, observation period, publication date, geography and unit alongside each extracted field. A change in freight demand since that observation period remains a hypothesis unless the analyst has comparable later evidence. The page also links to technical documentation; a decision owner should inspect definitions and notes before copying a cell into a category plan.

Census describes public-use files with identifying information removed for confidentiality Census release information. This is a useful boundary in itself. A row that resembles a specific corridor or product class is not a disclosure of one distributor’s shipments or one carrier’s contract. Analysts can use that row to ask whether an internal lane has similar directional exposure. They should not use it to estimate the company’s freight bill, infer a supplier’s share or publish a named firm conclusion. Confidentiality protection is part of the source method, not a gap that a clever query can reverse.

What does the framework add?

The Federal Highway Administration’s FAF description says the framework combines the survey with trade and other sector inputs to represent freight movement across states and major metropolitan areas. It is broader than the survey, and its modeled coverage has a different evidentiary status from a reported establishment shipment. A buyer can use it to scan geographic and modal context, provided the version and method are named. A corridor with substantial aggregate flow may be worth testing against the buyer’s private lanes. That flow does not establish that the buyer has access to carriers, capacity, service quality or favorable rates on that corridor.

The FHWA page describes an update to a newer benchmark based on a later survey vintage. A planning team should never splice a field from one FAF version into a table from another and then call the difference a trend. First check population, commodity classification, geography, mode definitions, units and observation years. If any of those changed, carry the versions as separate descriptions until a documented crosswalk supports comparison. The question for procurement is usually narrower than a national trend: which internal category or lane deserves a fresh quote, service review or continuity test?

The survey reports 62.0% of the tonnage FAF6.0 estimates for 2022

For 2022 the CFS reports 12.17 billion tons and FAF6.0 19.63 billion, so the survey covers 62.0% of the tonnage the framework estimates and 72.7% of the value. The gap is widest for pipeline shipments, where the survey reports 21.4% of FAF’s tonnage, and FAF6.0 also counts 1.19 billion tons of imports on their domestic leg, which the survey leaves out by design. BTS’s FAF6 page says the framework “incorporates data from agriculture, extraction, utility, construction, service, and other sectors.” Part of a corridor’s FAF tonnage is therefore modeled from sources other than the survey, which is one more reason to keep the version and method beside any cell copied into a category plan.

CFS tonnage as a share of FAF6.0 tonnage, by mode, 2022

Truck68.0%
Rail79.7%
Water80.6%
Air59.5%
Pipeline21.4%
Multiple modes and mail93.6%
Other and unknown101.3%
All modes62.0%

Source: Census and BTS, 2022 CFS, table CF2200A10; BTS and Oak Ridge National Laboratory, FAF6.0 state summary by mode and trade type, 2022, all trade types summed over every state’s within-state and outbound flows by Zinit Research. FAF’s mode is the domestic mode; CFS other single modes and unknown mode are matched to FAF’s other and unknown, and FAF6.0 imports with no domestic mode count only in the all-modes total. Chart: Zinit Research. Data and method

Which public fields can frame a sourcing hypothesis?

The Oak Ridge FAF5 documentation identifies tonnage, value and ton-miles by regional origin–destination pair, commodity and mode. These are movement measures, not supplier price fields. For example, a distributor may identify a region and commodity combination worth investigating, then ask its transport team whether the company actually moves that commodity between those places. The next questions concern seasonality, handling, equipment, routing and promised delivery windows. No FAF field answers whether a carrier quoted the lane, met the service level or accepted the liability terms. Keep the public cell separate from the internal evidence request.

The FAF5 page also distinguishes a base year, subsequent estimates and forecasts. These are different products even when shown in one interface. A forecast is a scenario about future movement under model assumptions; it is not booked demand or a carrier capacity reservation. If a category manager uses it to frame a contingency, the slide should say “scenario” and record the underlying version. Any budget or sourcing event should then turn on the company’s own volume forecast and supplier response, with the public estimate retained as context rather than promoted into a commitment.

How does a buyer make the boundary operational?

Public signal to private evidence: a distribution sourcing boundary map
Public signalQuestion worth askingBuyer evidence before action
CFS commodity and origin–destination viewDoes this commodity or corridor overlap our operating footprint?Shipment ledger by facility, actual origin, destination, mode and observation period
CFS survey population and exclusionsAre imports, territories or out-of-scope activities material to us?Inbound and outbound lane register, customs movements and facility ownership
FAF regional flow and mode estimateWhich modal dependency merits a resilience or bid test?Carrier coverage, equipment need, capacity quote, service commitment and fallback route
FAF scenario or later benchmarkWhich assumption should be tested rather than treated as demand?Internal forecast, customer promise, scenario owner and date for review

Authored decision aid. A public flow is a lead for a question, not a buyer rate, supplier ranking, savings estimate or proof of service.

The table deliberately leaves the commercial answer in the third column. A procurement lead can choose one category and one facility cluster, state the public observation in its original unit, and assign an internal owner to test overlap. If the buyer has no matching flow, record that result and stop. If it does, request a common lane definition and service requirement before asking carriers for comparable responses. This sequence keeps “high regional activity” from turning into “good rate opportunity” by assertion. It also lets finance and operations see exactly which source, assumption and missing record shaped the decision.

What belongs in the buyer record?

  • Scope each actual lane: origin and destination facility, shipment class, volume range, seasonality, handling constraints, delivery window and service exception history.
  • Separate the company’s movement from the public observation: record the source version and whether the proposed category, geography and mode really overlap.
  • Ask carriers or service providers for equipment and coverage, capacity windows, accessorials, contingency arrangements, claims handling and the exact contract exceptions they need.
  • Compare bids on the same lane and service specification; assign operations, procurement, finance and legal owners to unresolved tradeoffs.
  • Keep a dated decision log with the public lead, private evidence, supplier response, rejected inference and next review trigger.

This is a proportionate checklist, not a universal freight tender. A parcel network, temperature-controlled lane and bulk commodity movement have different constraints. The buyer should remove fields that do not change the decision and add category-specific safety or compliance requirements when they do. The point is traceability: an analyst should be able to show which public pattern led to a question, which internal data confirmed or contradicted it, and which commercial evidence supported the eventual award. A gap stays open until the responsible owner closes it; it does not become a numerical score by being placed in a table.

For a related treatment of supplier continuity choices, see the dual-sourcing operational strategy. When a distribution footprint includes overseas supply, the nearshoring total-cost governance guide gives a separate frame for evaluating the full landed decision. These are adjacent methods, not evidence that a public freight dataset can establish a company’s rate or supplier suitability.

What is the usable conclusion?

Where does this data come from?

What the numbers are
Value ($ million), weight (thousand tons) and average miles per shipment for shipments by establishments in the 2022 Commodity Flow Survey’s scope, by commodity group (SCTG) and mode and by the shipper’s industry (NAICS 2017), as published by the Census Bureau and BTS on June 26, 2025; and FAF6.0 national tonnage and value for 2022 by domestic mode, summed by Zinit Research from the state summary workbook. The CFS does not include imports or shipments originating in any U.S. territories. Census publishes coefficients of variation with each estimate and withholds cells that miss its publication standards; withheld or unpublished cells are blank here. The survey describes 2022 shipments; the 2022 tables used here carry no ton-miles, so distance is the average great-circle miles per shipment.
Source files
How the page stays current
The Commodity Flow Survey runs every five years; the next one describes 2027. FAF6 is updated between surveys, and the comparison is rebuilt from whichever FAF6 workbook is retained, with its version named.
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  • cfs-2022-against-faf6-by-mode.csv
  • cfs-2022-shipments-by-commodity-and-mode.csv
  • cfs-2022-shipments-by-shipper-industry.csv

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Cite this page

Zinit Research. “U.S. Distribution Sourcing Exposure: What Freight-Flow Data Can Show.” Data: U.S. Census Bureau and Bureau of Transportation Statistics, 2022 Commodity Flow Survey; BTS, FAF6.0. https://zinit.com/journal/research/us-distribution-freight-evidence-map, data retrieved October 22, 2026.

How this page is produced
Zinit Research downloads the source files listed above, keeps the originals, and computes every chart, table and figure in the data sections from them; an automated check rebuilds each number from the files before the page is published. The article text follows the Editorial Policy.

Sources

  1. About the Commodity Flow Survey — U.S. Census Bureau, 2026. Foundational evidence (official report): Source scope, version, available fields, and limits of public freight evidence.
  2. Commodity Flow Survey — U.S. Census Bureau, 2025. Current empirical evidence (official report): Source scope, version, available fields, and limits of public freight evidence.
  3. Freight Analysis Framework — Federal Highway Administration, 2026. Foundational evidence (official report): Source scope, version, available fields, and limits of public freight evidence.
  4. Freight Analysis Framework Version 5 — Oak Ridge National Laboratory, 2026. Historical evidence (official report): Source scope, version, available fields, and limits of public freight evidence.

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