METHOD

Every figure carries a source and a date.

Where reputable sources disagree, and on pay data they almost always do, you get the range and the reason instead of a fake-precise average. Three consequences, stated up front.

The numbers will drift
Exam fees rise, tuition changes, freight markets cycle. Every figure is a dated snapshot with its method attached, so you can pull the current one yourself the month you need it. Revisions are logged on the updates page.
The case studies are composites
And they are labeled as composites. No public dataset tracks driver-to-office transitions. Where the first-person record is thin, the book says so instead of inventing a testimonial. There are no reviews, no star ratings, and no stock-photo faces anywhere on this site, because no real ones exist yet.
The uncomfortable findings stayed in
The pathway where entry pay is a $20,000 cut. The certification market that saturated. The lease-purchase programs that fail most participants. A book that kept only the encouraging findings would be shorter, more pleasant, and useless.

What is not claimed

There are no income guarantees here and no suggestion that buying something produces employment. Nothing sold as a document can deliver that. What it can do is narrow the field to options that genuinely exist, attach honest figures to each one, and hand you the mechanics for getting hired and paying for the gap in between.

How a figure earns its place here

Every tracked figure passes the same four checks before it gets printed, and the ones that fail are named rather than quietly dropped.

A primary source, not a citation of a citation. Pay bands come from federal earnings data. Exam and credential costs come from the certifying body’s own published price, not a school’s marketing page. Grant rules come from the administering agency. Where a number could only be traced to blogs quoting each other, it was held back.
A date attached, and a schedule for re-checking it. Driver survey waves land twice a year. Federal earnings data updates annually. Credential fees move whenever the certifying body decides they do. Each number records when it was taken, so you can tell at a glance whether it is still worth acting on.
A range wherever the evidence is genuinely split. Collapsing a real disagreement into one tidy average produces a number that looks authoritative and tells you less than the argument it replaced. The competing figures stay visible, with the reason they differ.
A sample you are allowed to inspect. A survey of established company drivers is not the driver population. Where a figure comes from a narrow or aging sample, the sample is described next to the number, so you can decide how much weight it carries.

What got thrown out

Most sites publish only what survived. The discarded pile tells you more, because every item in it would have made this easier to sell.

Alarming numbers nobody can trace. Several frightening statistics about this profession circulate everywhere and dissolve the moment you go looking for the study underneath them. Where the trail ended in articles quoting one another, the number was dropped rather than repeated in a confident voice.
Anything that diagnoses the reader. Prevalence claims about drivers’ health rest on samples far too narrow to describe a whole population. Beyond the evidence problem, handing someone a diagnosis on the way to a checkout page is pressure wearing the costume of concern. Patterns belong inside the book, beside a referral.
Grief repurposed as an argument. Some subjects were left unresearched on purpose. No presentation of them would be appropriate next to a price.
Evidence about the wrong people. Research conducted overseas does not get folded into claims about American drivers, and one heavily quoted figure about driver rest sits unused until its original study can be located.

Each of those decisions is set out in full, with the specific claims named, inthe research section below.

What the driver research says, and what it doesn’t

These are the sentiment findings that used to sit in the homepage’s opening screen, each with its source and date. They describe drivers, not you. Survey waves land twice yearly, so these will move; revisions are logged on the updates page.

58.1%
of drivers say they are currently looking for a new driving job.
That is the highest share since this survey began tracking it, and it has risen in every wave. Nearly six in ten of the drivers you pass are doing the same thing.
Sourced Conversion Interactive Agency and People. Data. Analytics, Spring 2026 driver survey
Home time
is the number one reason job-seeking drivers give, ahead of predictable pay.
You may have told yourself this was about the money. The drivers being surveyed keep saying it is about getting their life back.
Sourced Conversion Interactive Agency and People. Data. Analytics driver survey, Fall 2025 wave, among drivers actively job seeking
51%
say they’re happy in the job. It also ranks in the bottom 10% of occupations for satisfaction.
Both are true at once. You can be good at this, genuinely like parts of it, and still be finished with the life around it.
Sourced Secondary analysis of 2019 to 2023 federal and industry data, reported April 2025
$2,840
further behind, after four years of raises.
Average driver pay rose $9,140 between 2019 and 2023. Across all occupations it rose $11,980. You got a raise and still lost ground.
Sourced Bureau of Labor Statistics earnings data, 2019 to 2023, as analyzed in a secondary report published April 2025

Read the 58.1% precisely. It is the share of surveyed drivers looking for a newdriving job, not the share trying to leave trucking. An earlier version of the homepage summarized it on phones as drivers “looking right now,” which said more than the survey does. That line has been removed.

The clock, and who this survey actually reached

Among respondents to one 2025 driver survey, average age was 59.5, some 71% had driven for more than 20 years, and only 2% were 34 or younger. Of those drivers, 52% said saving for retirement is what keeps them driving and 67% said they have not saved enough to stop.

Read that sample carefully. It surveyed established company drivers and leased owner-operators, so it skews considerably older than the driver population as a whole. 59.5 is the profile of an experienced driver. It is not the median age of American truck drivers, and quoting it that way, as plenty of articles do, misuses it.

Sourced Commercial Carrier Journal, 2025 What Drivers Want survey, with Netradyne

The number we won’t use on you

You have probably seen the claim that 75%, or 90%, or “the high 90s” of trucker marriages end in divorce. We went looking for its source. There isn’t one. It circulates through forum posts, comment sections, and blogs that cite each other, with no study underneath it.

The one occupational analysis that does get cited found close to the opposite: truck drivers and related driving occupations at roughly 19%, described as below the national average. That figure is from 2010, and occupation-level divorce methodology is genuinely contested, so we are not going to turn it around and claim trucking marriages are fine either.

The defensible statement is narrower than both: the frightening number everyone repeats has no traceable source, and the only real data points the other way. That number would have helped us sell. It is not in the book, and it is not on this site, because we could not stand behind it.

Sourced 2010 divorce-rate-by-occupation analysis; provenance of the popular claim: none found

On isolation, hedged as hard as the evidence requires

In one study of 316 male drivers surveyed at a single North Carolina truck stop, roughly one in four said they did not have good friendships and about one in seven said they had no friends at all.

One sample, self-reported, and from 2012. That single study is the origin of nearly every driver mental-health figure repeated in trucking media, sometimes misattributed to federal research. It is not strong enough to tell you what percentage of drivers are lonely, and we are not going to pretend otherwise. But if you recognize it, you are not imagining it.

Sourced Single-site driver survey, n=316, 2012, cited here as one sample, not a population rate

What was left off this site on purpose

Clinical prevalence figures, at any strength. Telling you what share of drivers are depressed, on the way to asking you for money, is fear-based selling in a lab coat. Patterns and what to do about them belong inside the book, next to a referral, not on a sales page.
Suicide statistics. Deliberately not researched for this site. No framing makes turning that into a purchase argument acceptable.
A widely-blogged claim about on-the-job drinking and stimulant use. The figures are implausible on their face and could not be traced to a defensible study. Publishing them would insult the reader.
Non-US samples blended into US claims, and a frequently-quoted driver sleep average that we could only trace through secondary blogs. Both are held back pending a primary source.

40+ figures are tracked across the book. Every figure on this site is a dated snapshot, not a permanent fact.

Read the free sample (Module 7) and check the sources.Or take the pathway quiz