Immigration Policy and Labor Supply: What the Data Actually Show

Immigration debates tend to fixate on culture or security. But the most measurable, persistent effects show up in paychecks and job queues. For U.S. policy practitioners, the real question isn’t whether immigration reshapes labor markets—it does—but who feels the pressure and where. The evidence, drawn from administrative records and careful empirical work, tells a story that’s far more conditional than either restrictionists or expansionists typically admit. It’s a story of skill cells, regional shocks, and policy mechanisms that often work at cross-purposes.

Workers in a modern warehouse facility
Immigration policy directly influences the composition of the workforce in sectors like logistics and manufacturing. (Photo: Pexels)

The Supply-Side Mechanism: It’s About Composition, Not Just Numbers

When immigration expands the labor pool, the headline effect is an outward shift in supply. But the composition of that supply—by education, occupation, and geography—is what drives the downstream results. Department of Homeland Security administrative data show that recent immigrant cohorts are bifurcated: roughly 35% hold a bachelor’s degree or higher, while 25% never finished high school. For the native-born, those figures are 33% and 8%, respectively. So immigration doesn’t just add “workers” in bulk; it adds particular workers to particular corners of the market.

For anyone in the weeds of policy, the right unit of analysis is the skill cell—a group of workers defined by education and experience. George Borjas’s work (2003, Quarterly Journal of Economics) shows that within a given skill cell, a 10% increase in immigrant labor supply reduces native wages by 3–4% in the short run. But those losses aren’t spread evenly. They land hardest on native workers who never finished high school, the group that competes most directly with low-skill immigrants. At the national level, the same study finds a net positive effect for native-born workers overall—but that tidy aggregate hides real pain for the least educated.

Administrative Data vs. Political Talking Points

The gap between what the paperwork shows and what politicians claim is wide. Take the H-2B visa program, which brings in temporary non-agricultural workers. The Department of Labor sets prevailing wage determinations to stop undercutting of native wages, but audits from the Office of Inspector General keep turning up noncompliance. In fiscal year 2022, more than 20% of certified H-2B positions were in landscaping and hospitality—sectors where median wages already lag behind the national average. The wage-floor mechanism is only as good as its enforcement, and enforcement resources haven’t kept up with the program’s growth.

Regional Heterogeneity: Why Place Matters

National averages paper over the fact that immigration’s labor-market effects are intensely local. Immigrants cluster: six states hold over 60% of the foreign-born population, and within those states, metro areas absorb most new arrivals. That means the supply shock isn’t spread thin. In Miami, the Mariel boatlift of 1980 swelled the city’s labor force by 7% almost overnight. David Card’s influential 1990 study found barely a ripple in wages, but later re-examinations by Borjas and Monras (2017), using finer-grained data, identified significant wage depression for low-skill native workers in the Miami metro area.

For state and local policymakers, the takeaway is that local economic conditions mediate everything. In tight labor markets with low unemployment, immigrant inflows can fill real gaps without pushing native workers aside. In slack markets, the same inflow can stretch joblessness for people who are already struggling. Current Population Survey state-level data show that between 2019 and 2023, states with the fastest immigrant population growth—Florida and Texas among them—also saw the widest wage gaps between native-born workers with and without high school diplomas.

Workers in a warehouse handling packages and inventory
Immigrant workers are heavily represented in warehousing and distribution, where wage pressures are sensitive to labor supply changes. (Photo: Pexels)

Occupational Clustering and Wage Cascades

Immigrant workers don’t scatter randomly across occupations. Bureau of Labor Statistics data show that foreign-born workers make up 40% of the workforce in farming, fishing, and forestry, and over 30% in building and grounds cleaning and maintenance. This clustering can set off wage cascades: when immigration swells the supply of workers in one occupation, wages there can stagnate or fall, pushing native-born workers into adjacent occupations and depressing wages there, too. A 2022 study in the Journal of Labor Economics found that a 10% increase in immigrant employment within a narrowly defined occupation reduced wages in that occupation by 2.5% and in closely related occupations by 1.2%.

Policy practitioners should note that these cascades aren’t automatic. They depend on how easily immigrant and native workers can substitute for one another—and that’s shaped by occupational licensing, union density, and minimum-wage floors. In heavily regulated occupations like nursing, immigration is less likely to depress wages because entry barriers limit competition. In unlicensed occupations, the effects bite harder.

Fiscal Impacts and Public-Sector Labor Markets

Immigration policy also shapes labor markets through its fiscal footprint. Immigrants pay into payroll and income taxes, but they also use public services—schools, healthcare, income-support programs. The net fiscal impact swings by skill level and legal status. A 2017 National Academies of Sciences, Engineering, and Medicine report estimated that the average immigrant with less than a high school education imposes a net fiscal cost of $109,000 over their lifetime, while the average immigrant with a bachelor’s degree or higher yields a net fiscal benefit of $414,000. Those figures cover federal, state, and local levels.

For state and local practitioners, the distribution of costs and benefits is what keeps them up at night. Education funding, for example, is mainly a state and local responsibility, while many of the tax benefits of immigration flow to the federal government. This mismatch can strain local budgets, especially in districts with high concentrations of English-language learners. A 2021 Migration Policy Institute analysis found that per-pupil spending on English learners exceeded spending on non-English learners by $1,200 to $2,500 annually, depending on the state.

Labor-Market Effects of Enforcement Policy

Enforcement policy—worksite raids, E-Verify mandates, employer sanctions—also reshapes labor markets, often in ways nobody intended. When enforcement squeezes the supply of unauthorized workers in a sector, employers don’t necessarily raise wages and improve conditions for legal workers. They may shift to subcontracting, misclassification, or off-the-books employment instead. A 2017 study in the American Economic Journal: Economic Policy looked at state-level E-Verify mandates and found they reduced employment of likely unauthorized immigrants but didn’t significantly raise wages for native-born workers in affected sectors. Some employers simply relocated or restructured their operations.

This finding drives home a key point for policy analysis: labor markets adapt to constraints in ways that can blunt the intended effects of enforcement. Without complementary measures—stronger wage-and-hour enforcement, updated visa categories—enforcement alone may just change the shape of noncompliance rather than improve outcomes for native workers.

Construction workers on a building site with scaffolding
Construction is one of the sectors most affected by immigration enforcement and labor supply shifts. (Photo: Pexels)

Visa Design and Labor-Market Flexibility

The structure of visa programs directly determines which sectors get workers and under what conditions. The H-2A agricultural visa program ties workers to specific employers, limiting their ability to respond to market signals or report abuses. The H-1B program, by contrast, allows for employer changes but has been criticized for letting outsourcing firms undercut wages in the tech sector. Administrative data from the Department of Labor’s Labor Condition Application process show that the median wage for H-1B workers in computer-related occupations was $92,000 in 2022, compared to a median of $105,000 for all workers in those occupations—a gap that persists even after controlling for age and experience.

Policy design choices—whether visas are portable, whether wage floors are indexed to local labor markets, whether labor-market tests are required—directly affect whether immigration complements or substitutes for native workers. These aren’t abstract debates; they’re administrative decisions with measurable distributional consequences.

FAQ: Immigration Policy and Labor Markets

Does immigration reduce wages for native-born workers?

The evidence is mixed and depends on which skill group you examine. National-level studies often find small positive or neutral effects on average native wages. But for workers without a high school diploma—the group most likely to compete with low-skill immigrants—a 10% increase in immigrant labor supply is associated with a 3–4% wage reduction over the short run, according to research by George Borjas. These effects are concentrated in specific occupations and regions.

How does immigration affect employment rates for native-born workers?

Most studies find little to no long-run effect on native-born employment rates at the national level. In the short run and in specific local labor markets, though, an influx of immigrant workers can reduce employment among native-born workers with similar skill profiles. The effects are most pronounced for younger, less-educated native-born workers and for those in manual-intensive occupations.

What is the fiscal impact of immigration on public budgets?

The fiscal impact varies significantly by immigrants’ education and skill levels. According to a 2017 National Academies report, immigrants with a bachelor’s degree or higher generate a net positive fiscal contribution over their lifetimes, while those with less than a high school education impose a net cost. The distribution of costs and benefits across federal, state, and local governments is uneven, with local governments often bearing the costs of education and healthcare while the federal government receives most of the tax revenue.

Do employer sanctions and enforcement reduce unauthorized employment?

Enforcement measures such as E-Verify mandates can reduce the employment of unauthorized immigrants in targeted sectors, but the effects on wages and employment for native-born workers are often smaller than anticipated. Employers may shift to subcontracting, misclassification, or other informal arrangements rather than raising wages. The net labor-market impact depends on the strength of complementary labor standards enforcement.

Distributional Consequences and Policy Design

The core challenge for immigration policy is that its labor-market effects aren’t uniform. They create winners and losers, and the losers are often those with the least political voice. A sober reading of the evidence suggests that the net benefits of immigration to the U.S. economy are positive but small relative to GDP, while the distributional effects are large and concentrated. The National Academies’ 2017 synthesis estimated that immigration generates an overall gain of about 0.1% of GDP, but the losses to low-skill native workers can be several percentage points of their wages.

For policy practitioners, this distributional evidence points toward complementary policies—expanded wage subsidies, training programs, or regional adjustment assistance—that can offset the concentrated costs of immigration while preserving its broader benefits. The administrative challenge is that these complementary policies require coordination across agencies and levels of government that rarely happens in practice.

Next Steps for the Evidence-Based Practitioner

This analysis suggests several avenues for deeper investigation. A follow-up piece could examine the labor-market effects of specific visa categories—H-1B, H-2A, H-2B—using administrative data from the Department of Labor and U.S. Citizenship and Immigration Services. Another could assess the effectiveness of state-level integration policies, such as those governing occupational licensing for immigrants, in improving labor-market outcomes. A third could explore the intersection of immigration and automation, asking whether immigrant workers accelerate or slow the adoption of labor-saving technology in specific sectors. Each of these questions demands the same approach: skepticism of press-release claims, attention to administrative detail, and a focus on who gains and who loses.

The immigration debate won’t be settled by data alone, but data can discipline it. For those who work at the intersection of policy and implementation, the task is to understand the mechanisms, measure the distributional effects, and design interventions that are as precise as the evidence allows.