Yes, A $239 Million Prison Transformation Will Pay for Itself 

California’s $239 million investment in the San Quentin Rehabilitation Center has become one of the most watched criminal justice projects in the country.

When announcing the transformation, Governor Gavin Newsom framed the project in practical terms: ninety-five percent of people in prison will return to communities, and the question is what kind of neighbors they will become.

The redesign of San Quentin expands education, workforce training, and structured reentry planning inside the facility. Critics see the renovation as an expensive gamble. Supporters view it as overdue modernization. What has largely been missing from the debate is a structural analysis of what happens financially if rehabilitation outcomes change.

To address that gap, The Last Mile worked with researchers to build a multi-year structural model tracking how evolving recidivism, employment, and wage outcomes under the California model influence overall return on that investment. The model compares a status quo trajectory with a rehabilitation-driven trajectory and calculates how those differences affect incarceration costs, lost tax revenue, productivity, and cumulative savings.

Instead of evaluating a single cohort, the model follows annual release groups from 2026 through 2035, allowing changes to compound. The central question becomes whether sustained improvements across a decade can offset the initial investment.

A Structural Shift: Why More People Will Be Released Through San Quentin

The model begins with a structural assumption that more people will be released through San Quentin over time. 

Rather than operating as a traditional prison, the function of the redesigned facility will shift into a pre-release hub where individuals spend their final years preparing for reentry. Under this assumption, annual releases increase from just over 250 individuals in 2026 to roughly 900 by 2035. 

This change does not assume more people are released statewide. It assumes individuals nearing release are routed through San Quentin so they receive education, employment preparation, and reentry planning before returning home. As more people move through the facility, more individuals are exposed to programming designed to reduce recidivism and increase employment.

Projected Releases Per year from San Quentin

The True Cost of Recidivism Extends Beyond Prison Budgets

Recidivism carries costs beyond incarceration alone. The model includes multiple components to capture the full impact, including pretrial detention, prosecution and courts, public defense, victim services, parole supervision and more.

Each return to prison removes a worker from the economy and triggers a new list of public expenditures. Under the status quo system, these costs repeat consistently. Under the new rehabilitation model, fewer people return over time, and more people remain in the workforce, reducing both direct and indirect costs while increasing economic activity.

It costs approximately $132,860 annually to house a person in a California state prison. This record-high cost has increased by over 90% in the last decade, driven by rising employee compensation, medical expenses, and court-ordered mandates, and other factors. It is nearly double the cost of annual undergraduate tuition at top California private universities.

The model calculates a comprehensive cost of recidivism. Direct incarceration costs are estimated using average annual cost multiplied by an assumed 1.3-year return length. The model also includes broader social costs listed above, and lost tax revenue is calculated using projected wages and effective tax rates.

Productivity losses account for income that individuals would have earned if they remained in the workforce. Together, these components create a full cost of recidivism that extends far beyond prison budgets.

These costs are calculated for both the status quo and California Model scenarios across each year. As recidivism declines, employment rises, and wages improve, total costs fall while productivity increases. The model therefore captures both reduced spending and increased economic activity.

Sources of Public Costs from Recidivism Across the Full System

Recidivism Declines as Programming Expands

Recidivism, and all the associated social costs outlined in the previous section, is the central cost driver of incarceration. When people return to prison, costs repeat. When fewer people return, those costs decline.

In California today, the three-year re-conviction rate sits around 39.1%, with 17% returning to the CDCR Prison System and the remaining 22% falling under the jurisdiction of county jails.

The next structural assumption in this model is that recidivism will decline gradually over the projected ten-year period. With expanded education, workforce training, and reentry planning, recidivism is projected to fall steadily. The return to prison rate is projected to drop to 8% by 2035 (that figure aligns with the current rate observed among returning citizen alumni of The Last Mile), and the return to jail rate falls proportionately to 10%.

The change does not happen immediately. Instead, it phases in over time as more individuals pass through San Quentin’s rehabilitation-focused environment.

Projected Recidivism Rates Over Time

Employment Rates Drive the Economic Engine of the Model

While recidivism reductions lower costs, employment outcomes drive the economic upside of the model. When more people are employed after release, they generate income, contribute to the tax base, and reduce reliance on public systems. In this way, employment becomes a central mechanism through which long-term economic value is created.

In the baseline scenario, employment rates for this population are relatively low, reflecting persistent structural barriers. Limited access to jobs, combined with stigma and skill gaps, constrains workforce participation and suppresses earnings. As a result, the economic contribution of this population remains significantly below its potential.

In the modeled scenario, employment increases steadily as more individuals move through San Quentin’s expanded education, workforce training, and reentry programming. Employment begins at approximately 25 percent in 2026 and rises non-linearly to roughly 75 percent by 2034, where it stabilizes—a level consistent with outcomes observed among returning citizen graduates of The Last Mile’s programs. This pattern reflects not only improved access to jobs, but the cumulative effect of programming reaching scale.

Employment among returning citizens is projected to increase from ~25% to ~75%—a level consistent with outcomes observed among The Last Mile’s graduates—fundamentally changing post-release economic outcomes.

The model also accounts for job quality. Under a conservative trajectory, average annual earnings grow from approximately $30,000 to $55,000. Under a more optimistic trajectory, earnings exceed $70,000 by 2035. As wages increase, so does taxable income, creating a compounding fiscal benefit over time.

Employment stability is also associated with reduced system contact, including short-term jail stays that remain a meaningful cost driver. These effects phase in gradually, but over time, the cumulative gains from employment and rising wages exceed the direct cost savings from reduced incarceration, making employment the primary driver of long-term return on investment.

Projected Income Trajectories (Conservative vs. Optimistic)

Cumulative Productivity Creates Accelerating Savings

The most important feature of the model is cumulative productivity. Individuals who return home and remain employed generate wages every year they stay in the workforce, with earnings increasing over time. Each new cohort adds to that total.

In this model, someone released in 2026 contributes to the economy through 2035 if they remain employed. As employment rates rise and wages increase, cumulative productivity accelerates. By the later years of the model, productivity from earlier cohorts combines with new releases, producing a steep upward curve in total economic output.

This cumulative effect becomes the largest contributor to overall economic gains. The model shows productivity gains exceeding $130 million annually in later years under optimistic assumptions. The later years dominate the break-even calculation because multiple cohorts contribute simultaneously.

Cumulative Productivity Accelerates as More People Remain Employed Over Time

Break-Even Timeline: When the Investment Pays for Itself

The final step in the model compares cumulative economic gains against the initial $239 million investment in the San Quentin Rehabilitation Center.

Rather than focusing on a single year, the model tracks how improvements in recidivism, employment, and wages translate to long-term economic impact for the state. Each of these changes produces measurable financial effects: fewer people returning to prison and jail reduces incarceration costs, more people working increases tax revenue, and higher wages expand overall economic productivity. Together, these factors create annual gains that compound year after year.

The trajectory unfolds in phases. In the early years, gains remain modest as more people are released through San Quentin while recidivism declines ›gradually and employment ramps over time. This transition reflects the structural shift in how the facility is used. More individuals are being prepared for release, increasing participation in the reentry pipeline before improved outcomes fully take hold. During the middle years of the model, recidivism continues to fall and employment rises, stabilizing system costs and increasing workforce participation. By the later years, multiple cohorts are working simultaneously, and cumulative productivity accelerates. At that point, economic gains begin to grow rapidly.

Under conservative wage assumptions, cumulative gains approach the initial investment around 2034. Under more optimistic employment outcomes, the break-even point is projected to arrive slightly earlier, near the end of 2033. After that point, projected gains continue to expand, meaning the transformation begins generating net positive fiscal impact.

Projected Cumulative Economic Gains and Break-Even Timeline

A Conservative Model With Expansive Implications

The model outlined here does not assume dramatic overnight transformation. It does not rely on perfect implementation, universal success, or immediate fiscal return. 

Instead, it follows a structured, phased approach in which improvements take hold over time. Recidivism declines gradually over a decade rather than dropping immediately. Employment increases steadily as more individuals move through programming and into the workforce. Wages are modeled in defined bands to reflect a range of outcomes, from entry-level roles to higher-skilled careers.

The model also accounts for a transitional period in which costs increase before they fall, reflecting the reality that more people will be released through San Quentin while the new approach takes hold. These assumptions are designed to reflect how systemic change unfolds in practice. They do not minimize the scale of potential impact, but they do ensure that the results are driven by measurable shifts in outcomes rather than idealized conditions.

Even within those constraints, the structural shift remains clear. As more individuals pass through a rehabilitation-focused pre-release environment, the number of people returning to prison begins to decline. At the same time, employment rises and wages generate measurable economic activity. 

Those outcomes build across cohorts, creating cumulative productivity that grows year after year. The model therefore captures not only the direct fiscal impact of reduced reincarceration, but also the broader economic contribution of individuals who return home prepared to work and remain in their communities.

Cumulative savings from reduced recidivism and increased employment are projected to offset the $239M investment by 2033–2034.

Investing In the Future Makes Compounding Effects

The break-even timeline emerges from that compounding effect. Under conservative wage assumptions, cumulative savings approach the original investment around 2034. Under more optimistic but still plausible employment outcomes, the break-even could occur even sooner. 

This model does not rely on aspirational claims about rehabilitation. It follows measurable inputs: releases, recidivism, employment, and wages. It accounts for both costs and benefits, including those often overlooked in discussions of incarceration. It assumes incremental progress and allows time for outcomes to mature. Within those parameters, the analysis suggests that transforming San Quentin into a rehabilitation-centered facility has the potential to shift incarceration from a recurring public expenditure into a long-term economic contributor.

If those assumptions hold, the implications extend beyond a single facility. A prison designed to prepare individuals for reentry changes the flow of people returning to communities. Fewer returns to prison reduce public costs. More individuals entering the workforce expand economic activity. Over time, those changes reinforce one another, creating a cycle defined not by repeated incarceration, but by sustained opportunity.

By Robert Roche, VP of Marketing, and Sam Bufe, Sr. Manager of Research and Analytics at The Last Mile.

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