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	<title>Immigration | Economic Policy Institute</title>
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	<link>https://www.epi.org</link>
	<description>Research and Ideas for Shared Prosperity</description>
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	<title>Immigration | Economic Policy Institute</title>
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		<title>The working class is more diverse than ever before</title>
		<link>https://www.epi.org/publication/the-working-class-is-more-diverse-than-ever-before/</link>
		<pubDate>Fri, 30 Oct 2026 13:40:07 +0000</pubDate>
		<dc:creator><![CDATA[Valerie Wilson]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=publication&#038;p=327793</guid>
					<description><![CDATA[The working class is a concept that carries tremendous political weight. But there is no official definition of what it is, and popular views of a mostly white working class are out of Over the past 50 years, increases in women’s participation in the labor force and immigration have resulted in more women, Hispanics, and Asian Americans in the workforce.]]></description>
										<content:encoded><![CDATA[<p>The working class is a concept that carries tremendous political weight. But there is no official definition of what it is, and popular views of a mostly white working class are out of date.</p>
<p>Over the past 50 years, increases in women’s participation in the labor force and immigration have resulted in more women, Hispanics, and Asian Americans in the workforce. <strong>New data below from a forthcoming EPI report</strong> show that the working class is more diverse than ever before—no matter how you define it.</p>
<h4><strong>When defined by education, the working class is nearly half workers of color </strong></h4>
<p>The traditional definition of the working class comprises workers with less than a bachelor’s degree. Under this definition, in 1979, the working class was over 80% white. Today, workers of color collectively account for nearly <em>half</em> of the working class.</p>
<h5><strong>Working class by race and ethnicity</strong></h5>
<ul style="list-style-type: circle;">
<li>52% white</li>
<li>26.8% Hispanic</li>
<li>15.1% Black</li>
<li>4.7% AAPI</li>
<li>1.4% Native American</li>
</ul>
<h5><strong>Working class by gender</strong></h5>
<ul style="list-style-type: circle;">
<li>56.4% men</li>
<li>43.6% women</li>
</ul>
<h4><strong>When defined by income, the working class is similarly diverse</strong></h4>
<p>The working class could reasonably include more college graduates and traditional “white-collar workers” than were previously considered. That’s because the wage boost from getting a college degree is lower than it used to be, and underemployment—along with racial and gender pay disparities—can mean the economic status of graduates of color and women is more like some nongraduates.</p>
<p>By this broader measure, the working class can be considered the bottom 75% of U.S. households, regardless of education level or job type. This works out to a family income of below $150,000 per year.</p>
<p>Under this definition, the working class remains similarly diverse in terms of race and ethnicity. While men are still a majority of the working class, a larger share of women fit within this definition of working class, given lower pay in jobs predominantly held by college-educated women.</p>
<h5><strong>Working class by race and ethnicity</strong></h5>
<ul style="list-style-type: circle;">
<li>53.1% white</li>
<li>24% Hispanic</li>
<li>15.2% Black</li>
<li>6.5% AAPI</li>
<li>1.2% Native American</li>
</ul>
<h5><strong>Working class by gender</strong></h5>
<ul style="list-style-type: circle;">
<li>52.5% men</li>
<li>47.5% women</li>
</ul>
<p>However you define it, today’s working class is diverse by race, ethnicity, and gender. Improving economic conditions for today’s working class requires policies that meet the needs of <em>all</em> these workers. &nbsp;</p>
<p><em><strong>Source:</strong> Author&#8217;s analysis of pooled 2024–2025 Current Population Survey basic monthly microdata from EPI Microdata Extracts, Version 2026.8.13, </em><em><a href="https://microdata.epi.org/">https://microdata.epi.org</a>.</em></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
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		<title>Rest in power Dolores Huerta: La lucha sigue! The fight for equality and dignity for farmworkers continues</title>
		<link>https://www.epi.org/blog/rest-in-power-dolores-huerta-la-lucha-sigue-the-fight-for-equality-and-dignity-for-farmworkers-continues/</link>
		<pubDate>Thu, 29 Oct 2026 15:33:17 +0000</pubDate>
		<dc:creator><![CDATA[Daniel Costa]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=blog&#038;p=327695</guid>
					<description><![CDATA[Yesterday, the world lost Dolores Huerta, a pioneering labor leader, organizer, and activist who made her mark on the world by advocating for some of poorest and most exploited workers in the United States: the farmworkers who cultivate, pick, and package the food we all eat.]]></description>
										<content:encoded><![CDATA[<p>Yesterday, the world lost <a href="https://www.nytimes.com/2026/10/28/us/dolores-huerta-dead.html">Dolores Huerta</a>, a pioneering labor leader, organizer, and activist who made her mark on the world by advocating for some of poorest and most exploited workers in the United States: the farmworkers who cultivate, pick, and package the food we all eat. She continued fighting for social change until her death at age 96.</p>
<p>Her lasting impact on the lives of farmworkers is almost impossible to overstate. Farmworkers are notoriously some of the most difficult workers to organize because of extreme poverty and language and immigration status barriers, and because farm jobs are seasonal and unstable. Nevertheless, Huerta set out to organize them by starting the Agricultural Workers Association in 1960 and two years later co-founding the United Farm Workers Association, which became the United Farm Workers (UFW) in 1972—one of the few farmworker unions in the country. She masterminded successful strikes and boycotts against wealthy farm owners and businesses and negotiated the first-ever collective bargaining agreement with an agricultural employer, which won farmworkers long-overdue raises and newfound benefits.</p>
<p>Her advocacy extended far beyond the fields and negotiating rooms, helping win major policies that reshaped the legal landscape for farmworkers in California and showed the rest of the country what was possible. Perhaps the most notable is the 1975 Agricultural Labor Relations Act (ALRA), which gave farmworkers in California the right to organize and bargain collectively. The ALRA also created the Agricultural Labor Relations Board, which operates similarly to the federal National Labor Relations Board (NLRB) by conducting union elections and adjudicating unfair labor practice charges—standing in for the NLRB because farmworkers are excluded from the federal law that governs labor rights. Throughout her life, Huerta also pushed for policies that would, for example, protect farmworkers from pesticide exposure, provide disability insurance for injured farmworkers, and expand voter and language access for Latinas and Latinos.</p>
<p><span id="more-327695"></span></p>
<p>She lobbied for months in Washington, D.C. for passage of the Immigration Reform and Control Act (IRCA) of 1986, which is perhaps one of the most impactful immigrant rights laws ever passed. Through IRCA, an <a href="https://www.migrationpolicy.org/publication/irca-retrospect-guideposts-todays-immigration-reform">estimated 2.7 million</a> undocumented immigrants ultimately became eligible for green cards and were put on a path to citizenship, 1.1 million of whom were farmworkers eligible through IRCA’s Special Agricultural Workers program. The granting of status via IRCA had significant <a href="https://www.migrationpolicy.org/publication/irca-retrospect-guideposts-todays-immigration-reform">economic benefits</a> for workers—including reducing poverty rates and raising wages by as much as 20%.</p>
<p>Huerta never got full credit for her efforts on IRCA, as the <em>New York Times</em> recently <a href="https://www.nytimes.com/2026/03/19/us/dolores-huerta-cesar-chavez-united-farm-workers.html">reported</a>. She was sent to Florida under false pretenses so that she would not be present for a news conference to celebrate its passage, allegedly so that the male-dominated leadership at the UFW could take the credit. This exemplifies the darker side of what Huerta faced. She encountered repeated retaliation for her organizing: She was severely beaten by a police officer who left her with broken ribs and a ruptured spleen, she was arrested 22 times, and she was put under F.B.I. surveillance for alleged ties to communism.</p>
<p>While putting her life on the line to improve conditions for workers, she constantly faced discrimination, sexism, and abuse—including by her closest allies—and as we all sadly <a href="https://www.nytimes.com/2026/10/28/us/dolores-huerta-california-legacy.html">discovered</a> near the end of her life, she was raped.</p>
<p>All of us who strive to improve conditions for workers are indebted to her for her trailblazing leadership, remarkable achievements, and many sacrifices. I’m personally grateful to her for giving me someone to look up to when I was younger. As a Mexican-American kid growing up in a small farming town in the rural California Central Valley—just 45 minutes from where Huerta grew up and began her organizing and activism—people like me had few role models who shared our background, had similar upbringings, and came from similar places.</p>
<p>But I sincerely hope that one of her legacies now will be to remind us all that “<a href="https://digitalcommons.lmu.edu/education_fac/57/">la lucha sigue</a>” (the fight continues), because there is much more to do to ensure decent conditions for farmworkers. Despite the monumental strides made, farmworkers are still some of the <a href="https://www.epi.org/publication/epi-comment-on-dols-2025-interim-final-rule-modifying-the-aewr-methodology-for-h-2a-farmworkers/">lowest-paid</a> workers in the U.S. labor market and the victims of rampant <a href="https://www.epi.org/publication/record-low-farm-investigations/">wage theft and other workplace violations</a>. Farmworkers also suffer some of the <a href="https://www.cdc.gov/niosh/agriculture/about/index.html">highest rates</a> of injury and death because the vast majority work in dangerous, toxic, and unsafe conditions. Well <a href="https://www.epi.org/blog/how-many-farmworkers-are-employed-in-the-united-states/">over half of farmworkers</a> also lack full workplace rights because so many are undocumented or employed with temporary H-2A visas, which are <a href="https://www.epi.org/publication/temporary-work-visa-reform/">controlled by employers</a>. Lacking an immigration status or having a precarious, temporary status leaves farmworkers virtually powerless and fearful of retaliation. They cannot report employer abuses, join a union, or even talk with worker advocates without risking their livelihoods.</p>
<p>Congress has failed to protect farmworkers—excluding them from key elements of the two main federal laws governing workers’ wages, working conditions, and union rights. It’s an infuriating legacy rooted in racist policy dating back to the 1930s, when most Black workers in the South were either farmworkers or domestic workers. Huerta helped fill the gap left by Congress through winning reforms at the state level. But while California has the ALRA and a law requiring that farmworkers be paid for overtime hours, <a href="https://www.farmworkerjustice.org/en/policy/interactive-map">nearly all states</a> have opted <em>not</em> to enact overtime pay and collective bargaining rights for farmworkers, and many exclude or limit them from coverage under minimum wage laws.</p>
<p>Farmworker advocacy has never been more important or more challenging, with a presidential administration hell-bent on terrorizing and impoverishing immigrants, as well as accelerating climate disasters and new disease outbreaks like COVID-19 and avian influenza that impact farmworkers first. There are too few influential voices out there fighting to protect farmworkers’ rights. The world now has one fewer, and she will be missed.</p>
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		<title>Mass deportations—An anti-worker agenda that harms everyone</title>
		<link>https://www.epi.org/event/mass-deportations-an-anti-worker-agenda-that-harms-everyone/</link>
		<pubDate>Thu, 15 Oct 2026 17:00:35 +0000</pubDate>
		<dc:creator><![CDATA[Ben Zipperer, Daniel Costa, Jennifer Sherer]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=event&#038;p=326366</guid>
					<description><![CDATA[News about immigration and deportations are on the front page every day. The immediate trauma of these lawless, violent attacks on immigrants and communities is clear, but the longer-term economic fallout of aggressive immigration enforcement will harm all workers, as well as the broader economy and labor EPI’s Director of Immigration Law and Policy Research Daniel Costa and Senior Economist Ben Zipperer join National Domestic Workers Alliance Vice President of Policy and Advocacy Haeyoung Yoon in a conversation moderated by Deputy Director of EPI&#8217;s Economic Analysis and Research Network (EARN) Jennifer Webinar links, notes and Impact of DHS Agent Surge on Minneapolis-Saint Paul Metro Area Labor Outcomes by Aaron Sojourner &#38; Aaron The ICE Effect: How Immigration Enforcement Affects the Economy and Jobs by Chloe East &#38; Elizabeth Economic Impacts of Trump Administration Immigration Policy, October 2026 by Robert Lynch &#38; Michael Losing Status: An Estimated 3.5 Million Previously Protected Immigrants in the U.S.]]></description>
										<content:encoded><![CDATA[<p>News about immigration and deportations are on the front page every day. The immediate trauma of these lawless, violent attacks on immigrants and communities is clear, but the longer-term economic fallout of aggressive immigration enforcement will harm all workers, as well as the broader economy and labor market.</p>
<p>EPI’s Director of Immigration Law and Policy Research <a href="https://www.epi.org/people/daniel-costa/"><strong>Daniel Costa</strong></a> and Senior Economist <a href="https://www.epi.org/people/ben-zipperer/"><strong>Ben Zipperer</strong></a> join National Domestic Workers Alliance Vice President of Policy and Advocacy <a href="https://www.linkedin.com/in/haeyoung-yoon-3758a322/" target="_blank" rel="noopener"><strong>Haeyoung Yoon</strong></a> in a conversation moderated by Deputy Director of EPI&#8217;s Economic Analysis and Research Network (EARN) <a href="https://www.epi.org/people/jennifer-sherer/"><strong>Jennifer Sherer</strong></a>.</p>
<p>&nbsp;</p>
<p><iframe title="Mass deportations—An anti-worker agenda that harms everyone" width="600" height="338" src="https://www.youtube.com/embed/cGEZgnr5ZAE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p>
<p>&nbsp;</p>
<hr>
<h4>Webinar links, notes and discussion</h4>
<p><a href="https://northstarpolicy.org/labor-outcomes/" target="_blank" rel="noopener"><b>Impact of DHS Agent Surge on Minneapolis-Saint Paul Metro Area Labor Outcomes</b></a> by Aaron Sojourner &amp; Aaron Rosenthal</p>
<p><a href="https://theiceeffect.org/" target="_blank" rel="noopener"><b>The ICE Effect: How Immigration Enforcement Affects the Economy and Jobs</b></a> by Chloe East &amp; Elizabeth Cox</p>
<p><a href="https://drive.google.com/file/d/1zjGls1wPwS3_q04tYBShz-CA9wPzzJ6R/preview" target="_blank" rel="noopener"><b>Economic Impacts of Trump Administration Immigration Policy, October 2026</b></a> by Robert Lynch &amp; Michael Ettlinger</p>
<p><a href="https://www.fwd.us/news/losing-status-projections/" target="_blank" rel="noopener"><b>Losing Status: An Estimated 3.5 Million Previously Protected Immigrants in the U.S. Are Projected to Lose Status by 2028</b></a> by FWD.us</p>
<p><a href="https://www.epi.org/deportation-calculator/"><b>EPI&#8217;s Cost of Deportations Calculator</b></a></p>
<p><a href="https://www.epi.org/event/the-cost-of-dhs-attacks-on-immigrants/"><b>The cost of DHS attacks on immigrants</b></a>: Watch the first webinar in EPI&#8217;s immigration series.</p>
<hr>
<h4>Listen on The State of Working America Podcast</h4>
<p><iframe title="Mass deportations—An anti-worker agenda that harms everyone" allowtransparency="true" height="150" width="100%" style="border: none; min-width: min(100%, 430px);height:150px;" scrolling="no" data-name='pb-iframe-player' src="https://www.podbean.com/player-v2/?i=n79yi-1b8fb5c-pb&#038;from=pb6admin&#038;share=1&#038;download=1&#038;rtl=0&#038;fonts=Verdana&#038;skin=f6f6f6&#038;font-color=auto&#038;logo_link=episode_page&#038;btn-skin=c73a3a" loading="lazy"></iframe></p>
<hr>
<p>If you are an academic, student, non-profit researcher or advocate, or a journalist, you may view and use the content of this webinar and its related materials without requesting any further permission.</p>
<p>This is permitted under a non-commercial use Creative Commons license <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg" alt="">.</p>
<p>If you are a commercial enterprise looking to this information or data in any product that will be sold or as part of services and data you provide to paying customers, request commercial use by <a href="mailto:news@epi.org" target="_blank" rel="noopener">contacting EPI</a>.</p>
<p>&nbsp;<br />
&nbsp;</p>
<h6>Find out about upcoming webinars first! <a href="https://www.epi.org/signup/">Subscribe to EPI newsletters</a>.</h6>
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		<title>State fact sheets on immigration and the economy</title>
		<link>https://www.epi.org/what-you-need-to-know-about-immigrant-workers/</link>
		<pubDate>Wed, 16 Sep 2026 05:00:50 +0000</pubDate>
		<dc:creator><![CDATA[]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?page_id=297373</guid>
					<description><![CDATA[American Community Survey (ACS). 1-Year 2023 microdata, Accessed via IPUMS USA, University of Minnesota, American Community Survey (ACS). 2019–2023 pooled microdata, Accessed via IPUMS USA, University of Minnesota, Center for Migration Studies.]]></description>
										<content:encoded><![CDATA[		<div class="epi-dataset-wrapper">
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<h1>What you need to know about immigrant workers and the <span class="epi-dataset-select"><select class="epi-dataset-select" data-dropdown="name"></select></span> economy</h1>
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<td>&nbsp; &nbsp; &nbsp;{{ active.highshare1_immigrant_workers_percent }}%</td>
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<td>&nbsp; &nbsp; &nbsp;{{ active.highshare2_immigrant_workers_percent }}%</td>
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<p>{{/if}}{{#if active.entrepreneurs}}</p>
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<p>{{ active.number_entrepreneurs }} immigrants in {{ active.name }} are entrepreneurs, {{ active.percent_entrepreneurs }}% of the state&#8217;s entrepreneurs.<br />
{{/if}}</p>
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<h4 style="margin-top: 1em;">Immigrants with status protections support the {{ active.name }} workforce</h4>
<p>At the start of 2025, {{ active.precarious_total_text }} people in {{ active.name }} had protection from deportation through various types of temporary statuses, which also provided many with work authorization. {{#if active.precarious_daca }}This group includes about {{ active.precarious_tps }} people with TPS and {{ active.precarious_daca }} with DACA.{{/if}} The Trump administration&#8217;s attacks on these protections put these workers at risk of losing their ability to live and work lawfully in the U.S., needlessly destabilizing families and the {{ active.name }} workforce.</p>
<h4 style="margin-top: 1em;">Mass deportations hurt all working people in {{ active.name }}</h4>
<p>Continued pursuit of the mass deportation agenda has dire consequences. It will tank economic growth, gut state revenues, lead to massive job losses, disrupt key industries, spike inflation, separate families, and create a culture of fear in our workplaces and communities.</p>
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<p>This will make it more difficult to provide basic services to all residents, harming all workers and families in the state.<br />
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<h4 style="margin-top: 1em;">Mass deportations will kill jobs</h4>
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<p>{{/if}}
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<p>{{/if}}</p>
<h4 >Creating a path to citizenship would raise wages and help all working people in {{ active.name }} by boosting the economy</h4>
<p>In contrast to deportations that lead to job losses, providing citizenship would stabilize and strengthen the state&#8217;s workforce and economy. </p>
<ul>
<li>It would directly benefit {{ active.total_undocumented }} people in {{ active.name }} and raise their wages by 15%.</li>
<p>{{#if active.citizenship_benefit_amount }}</p>
<li>That could be about {{ active.citizenship_benefit_amount }} per year for a worker employed full-time, year-round at the 30th percentile wage in {{ active.name }}.</li>
<p>{{/if}}
</ul>
<p>For some workers, the wage gains could be even larger: DACA recipients have seen their wages nearly triple over ten years, just from receiving a work permit. Citizenship would further increase those gains. Better wages will benefit the overall economy in the state by creating jobs, increasing state revenues, and helping combat the affordability crisis.</p>
<h4><em>A path to citizenship is good immigration policy, good labor policy, and good economic policy. Good for {{ active.name }} and the nation.</em></h4>
<p>			</script>
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drivers","highshare2_immigrant_workers_percent":"65","highshare3_immigrant_workers":"Maids and housekeeping cleaners","highshare3_immigrant_workers_percent":"44","highshare4_immigrant_workers":"Construction laborers","highshare4_immigrant_workers_percent":"43","highshare5_immigrant_workers":"Miscellaneous agricultural workers","highshare5_immigrant_workers_percent":"36","entrepreneurs":"TRUE","number_entrepreneurs":"84,000","percent_entrepreneurs":"22","total_immigrant_household_income":"59.5 billion","lost_tax_revenue":"690 million","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_VA.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/Virginia.png","citizenship_benefit_amount":"$6,300 ","total_undocumented":"342,000","city_job_loss":"5,000","deportation_job_loss_overall":"120,000","deportation_job_loss_overall_usb":"52,000","deportation_job_loss_construction":"57,000","deportation_job_loss_construction_usb":"22,000","deportation_job_loss_construction_share":"20%","precarious_total_text":"147,000","precarious_daca":"7,800","precarious_tps":"30,000"},"Washington":{"name":"Washington","number_of_immigrant_residents":"1.2 million","percent_of_total_population":"15.6","proportion_qualifier":"more than","one_of":"TRUE","one_of_every":"7","two_of":"FALSE","two_of_every":"FALSE","stater":"Washingtonian","percent_naturalized_citizens":"49","number_living_with_one_immigrant_parent":"563,000","percent_total_us_born_resident_pop":"8.5","percent_of_jobs_filled_by_immigrants":"20","percent_state_econ_output":"21.7","top_industry":"TRUE","top1_industry":"Agriculture, forestry, fishing, and hunting","top1_industry_percent":"49","top2_industry":"Information","top2_industry_percent":"26","top3_industry":"Professional and business services","top3_industry_percent":"26","top4_industry":"Manufacturing","top4_industry_percent":"21","top5_industry":"Transportation and utilities","top5_industry_percent":"20","highshare":"TRUE","highshare1_immigrant_workers":"Manicurists and pedicurists","highshare1_immigrant_workers_percent":"80","highshare2_immigrant_workers":"Graders and sorters, agricultural products","highshare2_immigrant_workers_percent":"73","highshare3_immigrant_workers":"Miscellaneous agricultural workers","highshare3_immigrant_workers_percent":"70","highshare4_immigrant_workers":"Taxi drivers","highshare4_immigrant_workers_percent":"56","highshare5_immigrant_workers":"Maids and housekeeping cleaners","highshare5_immigrant_workers_percent":"52","entrepreneurs":"TRUE","number_entrepreneurs":"80,000","percent_entrepreneurs":"21.2","total_immigrant_household_income":"72.8 billion","lost_tax_revenue":"1 billion","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_WA.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/Washington.png","citizenship_benefit_amount":"$6,900 ","total_undocumented":"367,000","city_job_loss":"16,000","deportation_job_loss_overall":"152,000","deportation_job_loss_overall_usb":"66,000","deportation_job_loss_construction":"31,000","deportation_job_loss_construction_usb":"12,000","deportation_job_loss_construction_share":"12%","precarious_total_text":"118,000","precarious_daca":"13,600","precarious_tps":"18,100"},"West Virginia":{"name":"West Virginia","number_of_immigrant_residents":"33,000","percent_of_total_population":"1.9","proportion_qualifier":"FALSE","one_of":"FALSE","one_of_every":"FALSE","two_of":"FALSE","two_of_every":"FALSE","stater":"West Virginian","percent_naturalized_citizens":"53","number_living_with_one_immigrant_parent":"14,000","percent_total_us_born_resident_pop":"0.8","percent_of_jobs_filled_by_immigrants":"3","percent_state_econ_output":"3.1","top_industry":"FALSE","top1_industry":"FALSE","top1_industry_percent":"FALSE","top2_industry":"FALSE","top2_industry_percent":"FALSE","top3_industry":"FALSE","top3_industry_percent":"FALSE","top4_industry":"FALSE","top4_industry_percent":"FALSE","top5_industry":"FALSE","top5_industry_percent":"FALSE","highshare":"FALSE","highshare1_immigrant_workers":"FALSE","highshare1_immigrant_workers_percent":"FALSE","highshare2_immigrant_workers":"FALSE","highshare2_immigrant_workers_percent":"FALSE","highshare3_immigrant_workers":"FALSE","highshare3_immigrant_workers_percent":"FALSE","highshare4_immigrant_workers":"FALSE","highshare4_immigrant_workers_percent":"FALSE","highshare5_immigrant_workers":"FALSE","highshare5_immigrant_workers_percent":"FALSE","entrepreneurs":"FALSE","number_entrepreneurs":"FALSE","percent_entrepreneurs":"FALSE","total_immigrant_household_income":"1.4 billion","lost_tax_revenue":"10 million","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_WV.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/West-Virginia.png","citizenship_benefit_amount":"$5,600 ","total_undocumented":"11,000","city_job_loss":"1,000","deportation_job_loss_overall":"4,000","deportation_job_loss_overall_usb":"2,000","deportation_job_loss_construction":"FALSE","deportation_job_loss_construction_usb":"FALSE","deportation_job_loss_construction_share":"FALSE","precarious_total_text":"5,000","precarious_daca":"100","precarious_tps":"500"},"Wisconsin":{"name":"Wisconsin","number_of_immigrant_residents":"320,000","percent_of_total_population":"5.4","proportion_qualifier":"nearly","one_of":"TRUE","one_of_every":"18","two_of":"FALSE","two_of_every":"FALSE","stater":"Wisconsinite","percent_naturalized_citizens":"44","number_living_with_one_immigrant_parent":"166,000","percent_total_us_born_resident_pop":"3","percent_of_jobs_filled_by_immigrants":"7","percent_state_econ_output":"6.2","top_industry":"TRUE","top1_industry":"Agriculture, forestry, fishing, and hunting","top1_industry_percent":"9","top2_industry":"Professional and business services","top2_industry_percent":"8","top3_industry":"Leisure and hospitality","top3_industry_percent":"8","top4_industry":"Manufacturing","top4_industry_percent":"7","top5_industry":"Other services","top5_industry_percent":"7","highshare":"TRUE","highshare1_immigrant_workers":"Miscellaneous agricultural workers","highshare1_immigrant_workers_percent":"20","highshare2_immigrant_workers":"Postsecondary teachers","highshare2_immigrant_workers_percent":"19","highshare3_immigrant_workers":"Software developers","highshare3_immigrant_workers_percent":"16","highshare4_immigrant_workers":"Janitors and building cleaners","highshare4_immigrant_workers_percent":"13","highshare5_immigrant_workers":"Cooks","highshare5_immigrant_workers_percent":"12","entrepreneurs":"TRUE","number_entrepreneurs":"17,000","percent_entrepreneurs":"6.3","total_immigrant_household_income":"12.4 billion","lost_tax_revenue":"199 million","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_WI.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/Wisconsin.png","citizenship_benefit_amount":"$6,300 ","total_undocumented":"105,000","city_job_loss":"FALSE","deportation_job_loss_overall":"47,000","deportation_job_loss_overall_usb":"20,000","deportation_job_loss_construction":"10,000","deportation_job_loss_construction_usb":"4,000","deportation_job_loss_construction_share":"5%","precarious_total_text":"38,000","precarious_daca":"5,400","precarious_tps":"5,200"},"Wyoming":{"name":"Wyoming","number_of_immigrant_residents":"22,000","percent_of_total_population":"3.7","proportion_qualifier":"nearly","one_of":"TRUE","one_of_every":"25","two_of":"FALSE","two_of_every":"FALSE","stater":"Wyomingite","percent_naturalized_citizens":"44","number_living_with_one_immigrant_parent":"12,000","percent_total_us_born_resident_pop":"2.1","percent_of_jobs_filled_by_immigrants":"5","percent_state_econ_output":"4.2","top_industry":"FALSE","top1_industry":"FALSE","top1_industry_percent":"FALSE","top2_industry":"FALSE","top2_industry_percent":"FALSE","top3_industry":"FALSE","top3_industry_percent":"FALSE","top4_industry":"FALSE","top4_industry_percent":"FALSE","top5_industry":"FALSE","top5_industry_percent":"FALSE","highshare":"FALSE","highshare1_immigrant_workers":"FALSE","highshare1_immigrant_workers_percent":"FALSE","highshare2_immigrant_workers":"FALSE","highshare2_immigrant_workers_percent":"FALSE","highshare3_immigrant_workers":"FALSE","highshare3_immigrant_workers_percent":"FALSE","highshare4_immigrant_workers":"FALSE","highshare4_immigrant_workers_percent":"FALSE","highshare5_immigrant_workers":"FALSE","highshare5_immigrant_workers_percent":"FALSE","entrepreneurs":"FALSE","number_entrepreneurs":"FALSE","percent_entrepreneurs":"FALSE","total_immigrant_household_income":"800 million","lost_tax_revenue":"16 million","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_WY.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/Wyoming.png","citizenship_benefit_amount":"$5,700 ","total_undocumented":"5,000","city_job_loss":"FALSE","deportation_job_loss_overall":"2,000","deportation_job_loss_overall_usb":"1,000","deportation_job_loss_construction":"FALSE","deportation_job_loss_construction_usb":"FALSE","deportation_job_loss_construction_share":"FALSE","precarious_total_text":"2,000","precarious_daca":"400","precarious_tps":"200"},"active":{"name":"Alabama","number_of_immigrant_residents":"203,000","percent_of_total_population":"4","proportion_qualifier":"nearly","one_of":"TRUE","one_of_every":"20","two_of":"FALSE","two_of_every":"FALSE","stater":"Alabaman","percent_naturalized_citizens":"40","number_living_with_one_immigrant_parent":"114,000","percent_total_us_born_resident_pop":"2.3","percent_of_jobs_filled_by_immigrants":"5","percent_state_econ_output":"5.1","top_industry":"TRUE","top1_industry":"Construction","top1_industry_percent":"10","top2_industry":"Other services","top2_industry_percent":"7","top3_industry":"Manufacturing","top3_industry_percent":"6","top4_industry":"Leisure and hospitality","top4_industry_percent":"5","top5_industry":"Professional and business services","top5_industry_percent":"5","highshare":"FALSE","highshare1_immigrant_workers":"FALSE","highshare1_immigrant_workers_percent":"FALSE","highshare2_immigrant_workers":"FALSE","highshare2_immigrant_workers_percent":"FALSE","highshare3_immigrant_workers":"FALSE","highshare3_immigrant_workers_percent":"FALSE","highshare4_immigrant_workers":"FALSE","highshare4_immigrant_workers_percent":"FALSE","highshare5_immigrant_workers":"FALSE","highshare5_immigrant_workers_percent":"FALSE","entrepreneurs":"TRUE","number_entrepreneurs":"18,000","percent_entrepreneurs":"8.6","total_immigrant_household_income":"7 billion","lost_tax_revenue":"146 million","factsheet_download_url":"https:\/\/www.epi.org\/files\/uploads\/Immigrant_Fact_Sheet_Update_AL.pdf","state_outline":"https:\/\/www.epi.org\/files\/uploads\/Alabama.png","citizenship_benefit_amount":"$5,800 ","total_undocumented":"92,000","city_job_loss":"5,000","deportation_job_loss_overall":"35,000","deportation_job_loss_overall_usb":"15,000","deportation_job_loss_construction":"17,000","deportation_job_loss_construction_usb":"7,000","deportation_job_loss_construction_share":"10%","precarious_total_text":"30,000","precarious_daca":"3,600","precarious_tps":"5,800"}}			</script>
		</div>
	
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="close" data-open-text="Read the methodology">Read the methodology</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h4>Population estimates</h4>
<p>Data on the foreign-born population (including totals, shares, naturalized immigrants, the number of U.S.-born residents living with one or more foreign-born parents, and the immigrant share of the labor force) are derived from EPI analysis of American Community Survey, 2023 microdata, accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<h4>Economic contributions of immigrants</h4>
<p>Data on the economic contributions of immigrants are calculated as the sum of all individual wage, salary, and business income. These estimates are derived from EPI analysis of American Community Survey, 2019–2023 pooled microdata, accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<h4>Top industries and occupations</h4>
<p>Top industry and occupation estimates are derived from analysis of American Community Survey, 2019–2023 pooled microdata, accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<div class="box">
<p><strong>Note: </strong>Industry data are aggregated into census major industry groups, viewable at <a href="https://microdata.epi.org/variables/indocc/mocc03/"><em>Microdata.epi.org</em></a>, variable Mind03. Industry data estimates are omitted if the coefficient of variation exceeds 0.15 or if the sample size is less than 100. As a result, not all states may have five top industries listed. Some states had fewer than three top industries that resulted from the analysis. The top industry section was omitted for those states. Armed forces industries are excluded from the analysis.</p>
</div>
<p>&nbsp;</p>
<div class="box">
<p><strong>Note:</strong> Occupation data estimates are omitted if the coefficient of variation exceeds 0.15 or if the sample size is less than 100. As a result, not all states may have five top occupations listed. Some states had fewer than three top occupations that resulted from the analysis. The occupation section was omitted for those states. Armed forces occupations are excluded from the analysis.</p>
</div>
<h4>Immigrant entrepreneurs</h4>
<p>Entrepreneurs refer to foreign-born, self-employed individuals with an incorporated business. These estimates are derived from EPI analysis of American Community Survey, 2019–2023 pooled microdata, accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<h4>Household income</h4>
<p>Aggregate household incomes represent the total money income of all members in households headed by a foreign-born individual. These estimates are derived from EPI analysis of American Community Survey, 2019–2023 pooled microdata, accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>. All income figures are inflation-adjusted to 2023 dollars.</p>
<h4>Tax payments by undocumented workers</h4>
<p>Tax payments by undocumented workers are from Carl Davis, Marco Guzman, and Emma Sifre, <a href="https://itep.org/undocumented-immigrants-taxes-2024/"><em>Tax Payments by Undocumented Immigrants</em></a>, Institute on Taxation and Economic Policy, July 2024.</p>
<h4>Precarious/liminal and undocumented status totals</h4>
<p>These estimates come from the Center for Migration Studies (CMS), <a href="https://data.cmsny.org/" target="_blank"><em>Estimates of Undocumented and Eligible-to-Naturalize Populations by State</em></a> [data map], 2026, except for estimates for TPS status, which come from Jill H. Wilson, <em><a href="https://www.congress.gov/crs-product/RS20844" target="_blank">Temporary Protected Status and Deferred Enforced Departure</a></em>, Congressional Research Service Report RS20844, August 2025, and the number of Deferred Action for Childhood Arrival (DACA) recipients by state comes from U.S. Citizenship and Immigration Services (USCIS), “<a href="https://www.uscis.gov/sites/default/files/document/data/active_daca_recipients_fy2024_q4.xlsx" target="_blank">Count of Active DACA Recipients by State or Territory, as of September 30, 2024.</a>” For the total number of those with precarious/liminal status, we adjust the CMS totals by subtracting the CMS DACA estimate and replacing it with the USCIS DACA estimate.</p>
<h4>Deportation job loss estimates</h4>
<p>Trump’s deportation targets and job losses (overall, U.S.-born, and construction) are from Ben Zipperer, <em><a href="https://www.epi.org/publication/trumps-deportation-agenda-will-destroy-millions-of-jobs-both-immigrants-and-u-s-born-workers-would-suffer-job-losses-particularly-in-construction-and-child-care/">Trump’s Deportation Agenda Will Destroy Millions of Jobs</a></em>, Economic Policy Institute, July 2025. Estimates based on enforcement in cities come from Marcela Escobari, Ian Seyal, and Paul Beach, <em><a href="https://www.brookings.edu/articles/ice-enforcement-employment-effects-us-cities/" target="_blank">Shock, Awe, and Economic Fallout: The Employment Effects of ICE Enforcement in U.S. Cities</a></em>, The Brookings Institution, May 2026; the state-specific figure is a modeled allocation from their Appendix C, applying the national effect in proportion to metro-level employment for &#8220;surge&#8221; cities in that state.</p>
<h4>Benefits of citizenship</h4>
<p>Wage effects due to citizenship assume a 10% wage increase, as in Giovanni Peri and Reem Zaiour, <em><a href="https://www.americanprogress.org/article/citizenship-undocumented-immigrants-boost-u-s-economic-growth/" target="_blank">Citizenship for Undocumented Immigrants Would Boost U.S. Economic Growth</a></em>, Center for American Progress, June 2021. This 10% increase is applied to the 30th percentile wage in the state, using the EPI CPS ORG microdata extracts and annualized by multiplying by 2080 hours.</p>
</div></div>
<p style="padding-left: 40px;"><strong>References</strong></p>
<p style="padding-left: 40px;">American Community Survey (ACS). 1-Year 2023 microdata, Accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<p style="padding-left: 40px;">American Community Survey (ACS). 2019–2023 pooled microdata, Accessed via IPUMS USA, University of Minnesota, <a href="http://www.ipums.org">www.ipums.org</a>.</p>
<p style="padding-left: 40px;">Center for Migration Studies. 2026. <a href="https://data.cmsny.org/" target="_blank"><em>Estimates of Undocumented and Eligible-to-Naturalize Populations by State</em></a>. Retrieved July 13, 2026.</p>
<p style="padding-left: 40px;">Davis, Carl, Marco Guzman, and Emma Sifre. 2024. <a href="https://itep.org/undocumented-immigrants-taxes-2024/"><em>Tax Payments by Undocumented Immigrants</em></a>, Institute on Taxation and Economic Policy, July 2024.</p>
<p style="padding-left: 40px;">Economic Policy Institute (EPI). 2024. Current Population Survey Extracts, Version 1.0.60,&nbsp;<a href="https://microdata.epi.org/">https://microdata.epi.org</a>.</p>
<p style="padding-left: 40px;">Escobari, Marcela, Ian Seyal, and Paul Beach. 2026. <a href="https://www.brookings.edu/articles/ice-enforcement-employment-effects-us-cities/" target="_blank"><em>Shock, Awe, and Economic Fallout: The Employment Effects of ICE Enforcement in U.S. Cities</em></a>. The Brookings Institution, May 2026.</p>
<p style="padding-left: 40px;">Peri, Giovanni, and Reem Zaiour. 2021. <em><a href="https://www.americanprogress.org/article/citizenship-undocumented-immigrants-boost-u-s-economic-growth/" target="_blank">Citizenship for Undocumented Immigrants Would Boost U.S. Economic Growth</a></em>, Center for American Progress, June 2021.</p>
<p style="padding-left: 40px;">U.S. Bureau of Labor Statistics, Consumer Price Index for All Urban Consumers (CPI-U), Accessed via Zipperer, B (2025). <em>realtalk: Price Index Data for the US Economy</em>. R Package Version 0.19.0, <a href="https://economic.github.io/realtalk/">https://economic.github.io/realtalk/</a>.</p>
<p style="padding-left: 40px;">U.S. Citizenship and Immigration Services (USCIS). 2024. <a href="https://www.uscis.gov/sites/default/files/document/data/active_daca_recipients_fy2024_q4.xlsx" target="_blank"><em>Count of Active DACA Recipients by State or Territory, as of September 30, 2024</em></a>.</p>
<p style="padding-left: 40px;">Wilson, Jill H. 2025. <a href="https://www.congress.gov/crs-product/RS20844" target="_blank"><em>Temporary Protected Status and Deferred Enforced Departure</em></a>. Congressional Research Service Report RS20844, August 2025.</p>
<p style="padding-left: 40px;">Wong, Tom K., Ignacia Rodriguez Kmec, Diana Pliego, Karen Fierro Ruiz, Silva Mathema, Ben Greenho, and Rosa Barrientos-Ferrer. <a href="https://www.americanprogress.org/article/10th-annual-daca-survey-2024-findings-reveal-whats-at-stake-for-recipients-and-the-united-states/" target="_blank"><em>10th Annual DACA Survey: 2024 Findings Reveal What’s at Stake for Recipients and the United States</em></a>. Center for American Progress, August 2025.</p>
<p style="padding-left: 40px;">Zipperer, Ben. 2025. <a href="https://www.epi.org/publication/trumps-deportation-agenda-will-destroy-millions-of-jobs-both-immigrants-and-u-s-born-workers-would-suffer-job-losses-particularly-in-construction-and-child-care/" target="_blank"><em>Trump’s Deportation Agenda Will Destroy Millions of Jobs</em></a>. Economic Policy Institute, July 2025.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
</div>
<p><em>Last updated September 2026</em></p>
]]></content:encoded>
											
	</item>
		<item>
		<title>The Cost of Deportations Calculator: Technical documentation</title>
		<link>https://www.epi.org/publication/the-cost-of-deportations-calculator-technical-documentation/</link>
		<pubDate>Wed, 05 Aug 2026 12:59:53 +0000</pubDate>
		<dc:creator><![CDATA[Monique Morrissey]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=publication&#038;p=324136</guid>
					<description><![CDATA[Updated August 6, 2026, to correct the teachers, firefighters, and nurses benefits The National Priorities Project (NPP) at the Institute for Policy Studies has estimated the federal government plans to spend $268.9 billion to undertake mass deportations throughout the second Trump administration.]]></description>
										<content:encoded><![CDATA[<div class="box">
<p>Updated August 6, 2026, to correct the teachers, firefighters, and nurses benefits percentages.</p>
</div>
<p>The National Priorities Project (NPP) at the Institute for Policy Studies has estimated the federal government plans to spend $268.9 billion to undertake mass deportations throughout the second Trump administration. <a href="https://www.nationalpriorities.org/analysis/2026/trump-bill-mass-deportations-2689-billion-and-counting/" target="_blank" rel="nofollow noopener noreferrer">NPP’s methodology is explained here</a>.</p>
<p>The <a href="https://www.epi.org/deportation-calculator" target="_blank" rel="noopener">Cost of Deportations Calculator</a> breaks down who shoulders the cost by state, county, place, and congressional district based on the area’s share of federal income taxes paid. “State” includes the District of Columbia, and “place” as used by the U.S. Census encompasses cities, towns, and smaller jurisdictions, including unincorporated areas. The calculator also estimates the average cost per taxpayer in each state, county, place, and district (it is $2,358 for U.S. taxpayers as a whole). “Taxpayers” are tax filers, including joint filers, who owe federal income tax after credits.</p>
<p>The <a href="https://www.epi.org/deportation-calculator" target="_blank" rel="noopener">calculator</a> compares each area’s share of the cost of deportations with potential trade-offs, such as the number of teachers who could be employed over the remaining 2.5 years of the Trump administration if the money were not being spent on mass deportations. The cost of trade-offs varies by state, but cost differences by county, place, or district do not factor into estimates.</p>
<h3>Sources and methodology for federal income tax shares</h3>
<p>The Internal Revenue Service (IRS) Statistics of Income (SOI) program publishes tables showing the taxes paid and the number of taxpayers by <a href="https://www.irs.gov/statistics/soi-tax-stats-individual-income-tax-state-data" target="_blank" rel="noopener">state</a>, <a href="https://www.irs.gov/statistics/soi-tax-stats-county-data" target="_blank" rel="noopener">county</a>, <a href="https://www.irs.gov/statistics/soi-tax-stats-data-by-congressional-district-2022" target="_blank" rel="noopener">congressional district</a>, and <a href="https://www.irs.gov/statistics/soi-tax-stats-individual-income-tax-statistics-zip-code-data-soi" target="_blank" rel="noopener">zip code</a>. As of July 2026, the most recent geographic tables are for 2022. These tables are used to estimate the share of federal income taxes paid, and, by extension, the share of mass deportation costs for each area.</p>
<p>The denominator used in tax share estimates—total federal income tax paid—is from SOI’s <a href="https://www.irs.gov/pub/irs-pdf/p1304.pdf" target="_blank" rel="nofollow noopener">Individual Income Tax Returns Complete Report, 2022</a>. This total is slightly larger than the sum of taxes paid in the 50 states and District of Columbia because it includes taxes paid by taxpayers who live overseas, serve in the military, etc. Similarly, sums for smaller geographic areas within states may be less than state totals because some taxpayers were not assigned to specific counties, places, or districts.</p>
<p>SOI does not publish tax information for cities and towns, only for metropolitan and micropolitan statistical areas, or MSAs. Since MSAs do not generally correspond to administrative jurisdictions, NPP has constructed tax share estimates for cities and towns (“places”) using SOI tax data by zip code. NPP apportioned zip code data to places using <a href="https://mcdc.missouri.edu/applications/geocorr2022.html" target="_blank" rel="nofollow noopener">Geocorr crosswalks from the Missouri Census Data Center</a>. Because zip codes can span jurisdictions, these tax shares are approximations based on how populations in these zip codes are distributed across places.</p>
<h3>Trade-off costs</h3>
<p>The cost of trade-offs is based on the cost of a subset of the <a href="https://www.nationalpriorities.org/interactive-data/trade-offs/notes-and-sources/" target="_blank" rel="noopener">National Priorities Project’s budget trade-offs</a>, with minor differences described below.</p>
<p>When cost estimates are based on pre-2026 data, they are inflated to May 2026 dollars using the consumer price index (CPI-U). Costs are further inflated to 2027 and 2028 dollars based on the Federal Reserve Bank of Philadelphia’s <a href="https://www.philadelphiafed.org/surveys-and-data/real-time-data-research/spf-q2-2026" target="_blank" rel="noopener">Second Quarter 2026 Survey of Professional Forecasters</a> (the projections are for CPI inflation rates of 2.4% and 2.5% in 2027 and 2028, respectively).</p>
<p>Compensation costs are a combination of annual mean wages from the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) and benefit costs from BLS Employer Costs for Employee Compensation (ECEC) statistics. All data are the latest available as of July 2026.</p>
<p>OEWS annual wages are generally not available for the intersection of state, occupation, and sector. Therefore, annual wage estimates for teachers, firefighters, and nurses include both public- and private-sector workers.</p>
<p>ECEC benefit costs are not available at the state level. They are available for a limited number of occupations and for public- and private-sector workers, but not every combination of sector and occupation. The calculator excludes the cost of paid leave from benefits, since this is already included in OEWS annual wage estimates.</p>
<h4>Elementary school teachers</h4>
<p><em>This is an estimate of how many additional elementary school teachers could be employed in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>Teachers’ annual mean wage by state in May 2025 (inflated to 2026–2028 dollars) is from BLS OEWS data for “Elementary School Teachers, Except Special Education.” Annual wages are estimated by multiplying hourly wages by 2,080 hours. Since many teachers have summers off, this may be a conservative estimate of the number of additional teachers who could be employed.</p>
<p>Teacher benefits are estimated at 48.1% of pay based on national <a href="https://www.bls.gov/ecec/data.htm" target="_blank" rel="noopener">ECEC data</a> for “state and local government workers”/ “preschool, elementary, middle, secondary, and special education teachers” in 2025Q2. The dollar cost of paid leave is excluded because it is included in annual wages.</p>
<h4>Firefighters</h4>
<p><em>This is an estimate of how many additional firefighters could be employed in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>Firefighters’ annual mean wage by state in May 2025 (inflated to 2026–2028 dollars) is from <a href="https://www.bls.gov/oes/" target="_blank" rel="noopener">BLS OEWS data</a>. Firefighter benefits as a percent of pay are estimated at 50.6% based on <a href="https://www.bls.gov/ecec/data.htm" target="_blank" rel="noopener">BLS ECEC data</a> for “state and local government workers”/ “all occupations” in 2025Q2. The dollar cost of paid leave is excluded because it is included in annual wages.</p>
<h4>Medicaid recipients</h4>
<p><em>This is an estimate of how many additional people could receive Medicaid benefits in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>The number of people who could receive Medicaid benefits is based on Medicaid spending, by state, for all full-benefit enrollees, analyzed by the <a href="https://tinyurl.com/y2vpmtct" target="_blank" rel="noopener">Kaiser Family Foundation</a> based on data from the Medicaid Statistical Information System (T-MSIS). The data year is 2023, inflated to 2026–2028 dollars.</p>
<h4>Veterans’ medical care</h4>
<p><em>This is an estimate of how many additional military veterans could receive medical care from the Department of Veterans Affairs (VA) in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>The average cost to provide military veterans with VA medical care is based on a state&#8217;s total VA medical care expenditures divided by the state&#8217;s total number of <a href="https://www.data.va.gov/dataset/health_v2/syfx-f9ne/data_preview">unique patients</a> using data from the <a href="https://www.va.gov/VETDATA/docs/GDX/GDX_FY24.xlsx" target="_blank" rel="noopener">National Center for Veterans Analysis</a> and Statistics for fiscal year 2024, inflated to 2026–2028 dollars.</p>
<h4>Head Start</h4>
<p><em>This is an estimate of how many additional children could participate in a Head Start program in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>Head Start costs are calculated by dividing total federal Head Start funding in each state by the number of funded enrollments. The data are from the <a href="https://headstart.gov/program-data/article/head-start-program-facts-fiscal-year-2024" target="_blank" rel="noopener">headstart.gov website</a> for fiscal year 2024, inflated to 2026–2028 dollars.</p>
<h4>Registered nurses</h4>
<p><em>This is an estimate of how many additional registered nurses could be employed in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>Registered nurses’ annual mean wage by state in May 2025 (inflated to 2026–2028 dollars) is from <a href="https://www.bls.gov/oes/" target="_blank" rel="noopener">BLS OEWS data</a>. Benefits are estimated at 37.9% of pay based on <a href="https://www.bls.gov/ecec/data.htm" target="_blank" rel="noopener">BLS ECEC data</a> for registered nurses in 2025Q2. The dollar cost of paid leave is excluded from benefits because it is included in annual wages.</p>
<h4>SNAP benefits</h4>
<p><em>This is an estimate of how many additional people could receive Supplemental Nutrition Assistance Program (SNAP) benefits in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>The cost of Supplemental Nutrition Assistance Program (SNAP) benefits is based on preliminary data from the U.S. Department of Agriculture (USDA) Food and Nutrition Administration website for February 2026 (inflated to 2027 and 2028 dollars). The annual cost per recipient is derived by dividing total monthly benefits in each state by the number of participants in the state and multiplying by 12.</p>
<h4>Paid parental leave</h4>
<p><em>This is an estimate of how many parents could take 12 weeks of paid parental leave in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on average wages in the state and the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>The cost of paid parental leave is based on the average annual wage by state across all occupations from <a href="https://data.bls.gov/oes/#/home" target="_blank" rel="noopener">BLS OEWS data</a> for May 2025 inflated to 2026–2028 dollars. The measure does not include self-employed workers. We assume the cost of parental leave is equivalent to 12 weeks of wages, not including benefits.</p>
<h4>Public housing</h4>
<p><em>This is an estimate of how many additional households could have access to low-cost public housing in a state, county, district, or “place” (city, town, or equivalent) over the remaining 2.5 years of the Trump administration based on the area’s share of federal taxes being spent instead on the mass deportation of immigrants.</em></p>
<p>The annual cost of public housing units by state is based on the Department of Housing and Urban Development (<a href="https://www.huduser.gov/portal/datasets/assthsg.html#year2009-2025" target="_blank" rel="noopener">HUD</a>) “Average HUD Expenditure Per Month” on public housing for 2025, multiplied by 12 and inflated to 2026–2028 dollars.</p>
<hr>
<p>The Cost of Deportations Calculator was developed in partnership with</p>
<p><a href="https://ips-dc.org/" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321435 size-small" title="Institute for Policy Studies" src="https://files-staging.epi.org/uploads/institute-for-policy-studies-logo-320x104.png" alt="Institute for Policy Studies logo" width="110"></a> &nbsp; <a href="http://sharedfutures.us" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321436 size-small" title="Shared Future" src="https://files-staging.epi.org/uploads/shared-future-logo-320x128.jpg" alt="Shared Future logo" width="110"></a> &nbsp; <a href="https://lerc.uoregon.edu/" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321437 size-small" title="The University of Oregon Labor Center" src="https://files-staging.epi.org/uploads/university-of-oregon-logo-320x100.webp" alt="The University of Oregon Labor Center logo" width="110"></a></p>
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		<title>The Cost of Deportations Calculator</title>
		<link>https://www.epi.org/deportation-calculator/</link>
		<pubDate>Wed, 05 Aug 2026 12:59:42 +0000</pubDate>
		<dc:creator><![CDATA[]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?page_id=324102</guid>
					<description><![CDATA[The Trump administration is taking billions of _your_ taxpayer dollars to pay for mass deportations. The Cost of Deportations Calculator shows what could this money be used for instead.]]></description>
										<content:encoded><![CDATA[<p>This calculator developed in partnership with</p>
<p><a href="https://ips-dc.org/" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321435 size-small" title="Institute for Policy Studies" src="https://files.epi.org/uploads/institute-for-policy-studies-logo-320x104.png" alt="Institute for Policy Studies logo" width="110"></a><a href="http://sharedfutures.us" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321436 size-small" title="Shared Future" src="https://files.epi.org/uploads/shared-future-logo-320x128.jpg" alt="Shared Future logo" width="110"></a><a href="https://lerc.uoregon.edu/" target="_blank" rel="noopener"><img decoding="async" class="wp-image-321437 size-small" title="The University of Oregon Labor Center" src="https://files.epi.org/uploads/university-of-oregon-logo-320x100.webp" alt="The University of Oregon Labor Center logo" width="110"></a></p>
<hr>
<h4>Frequently asked questions</h4>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="How do I use the Cost of Deportations Calculator?">How do I use the Cost of Deportations Calculator?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>How do I use the Cost of Deportations Calculator?</h6>
<p>When you first view the Cost of Deportations Calculator, it is populated with data at the federal level, or for the entire country. To drill down to the spending in your area:</p>
<ol>
<li>Select your state name from the dropdown. The calculator will repopulate with the tax dollars from your selected state that are being spent on deportations, and what that amount of money could be spent on instead in the various categories.</li>
<li>To get even more local, select your county, congressional district, or city from the second dropdown. The calculator will repopulate with the tax dollars from your selected locality that are being spent on deportations, and what that amount of money could be spent on instead.</li>
<li>To see more categories, click the <img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2795.png" alt="➕" class="wp-smiley" style="height: 1em; max-height: 1em;" /> symbol at the bottom of the calculator.</li>
</ol>
</div></div>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="What does the Cost of Deportations Calculator do?">What does the Cost of Deportations Calculator do?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>What does the Cost of Deportations Calculator do?</h6>
<p>The Cost of Deportations Calculator shows you how much U.S. taxpayer money is being spent on mass deportations through the remainder of Trump&#8217;s term at the national, state, county, congressional district, city, and average federal taxpayer level.</p>
<p>It also shows what that money could be spent on—such as teachers, nurses, firefighters, veterans&#8217; health care, and nutritional support—instead. For each option, it shows what <em>the full amount</em> being spent on mass deportations could fund.</p>
</div></div>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="Can I see how much of MY taxes pay for mass deportations?">Can I see how much of MY taxes pay for mass deportations?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>Can I see how much of MY taxes pay for mass deportations?</h6>
<p>Yes! The average amount per taxpayer appears in the dark box at the top of the calculator, immediately after the large number (representing the total amount spent in the country, your state, county, congressional district, or town). This is the average per taxpayer for the area selected. Every taxpayer’s situation will be different.</p>
</div></div>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="Isn’t mass deportation saving taxpayers money, since it costs so much to support immigrants?">Isn’t mass deportation saving taxpayers money, since it costs so much to support immigrants?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>Isn’t mass deportation saving taxpayers money, since it costs so much to support immigrants?</h6>
<p>No. This gets the math backward.</p>
<p>Unauthorized immigrants pay taxes—income taxes, Social Security taxes, sales taxes, and more—like everyone else does. In fact, <a href="https://itep.org/undocumented-immigrants-taxes-2024/" target="_blank">research shows unauthorized immigrants pay close to $100 billion a year in taxes</a>. And most of that money helps pay for programs they are not even allowed to use themselves. The law prevents most unauthorized immigrants (and even many with a lawful status) from getting food stamps, Medicaid, or most other public benefits. Deportations will reduce city, state, and federal revenues, making it more difficult to provide basic services to all residents. (For more details, <a href="https://www.epi.org/publication/unauthorized-immigrants/">read our FAQ</a>.) DHS recently said  a single deportation cost about $18,000. But that’s just the initial cost to taxpayers. Deporting workers will lead to massive job losses, due to industries losing workers they can’t easily replace, as well as a decline in demand for goods and services. That in turn leads to less economic activity overall and less growth, which reduces the number of available jobs and shrinks the tax base. Taxpayers would benefit more from an economy that allows workers to stay on the job, continue paying taxes,supporting their families and investing in local communities. </p>
<p>It’s simply not credible to argue that a $268.9 billion mass deportation regime represents cost savings. It’s a massive new expense to remove people who were already paying a significant amount of money into the economy and contributing to its growth. Every dollar spent supporting and building this false narrative is a dollar that isn’t going to schools, health care, or housing for all U.S. residents. </p>
</div></div>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="Why can’t I find my location in the list? Why does my location show up more than once? Why does the name of my location look…odd?">Why can’t I find my location in the list? Why does my location show up more than once? Why does the name of my location look…odd?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>Why can’t I find my location in the list? Why does my location show up more than once? Why does the name of my location look…odd?</h6>
<p>There are several reasons why this could be happening. Sometimes a city and a county have the same, or a similar, name. Also, states organize their areas differently. Some states use boroughs or census areas; others have parishes or planning districts. Some don’t have counties. States have created different bureaucratic labels, and the federal government attempts to standardize them. </p>
<p>For example, in Virginia, Harrisonburg is both its own independent city and the name of a county. These are two differently defined locations with two different tax numbers. So, Harrisonburg will appear twice, with slightly different results, because they are two different places to the U.S. Census Bureau and the IRS.</p>
<p>Add to that, different agencies in the federal government—and sometimes even different reports within the same agency—don’t count the places we live in the same way in every state. </p>
<p>We are working to resolve some of the inconsistencies, so all users can get the clearest answers to how the federal government is using their taxes to pay for Trump’s deportation regime. With over 33,000 locations to review, it will take a little time to resolve these issues. In the meantime, you can learn more about the idiosyncrasies of federal data in our technical documentation.</p>
</div></div>
<hr>
<h4>For researchers</h4>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="Where can I get the full dataset for the Cost of Deportations Calculator?">Where can I get the full dataset for the Cost of Deportations Calculator?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>Where can I get the full dataset for the Cost of Deportations Calculator?</h6>
<p>If you are an academic, student, non-profit researcher or advocate, or a journalist, you may download and use all the Cost of Deportations Calculator related materials without requesting permission.</p>
<p>This is permitted under a non-commercial use Creative Commons license <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg" alt=""><img decoding="async" style="max-width: 1em; max-height: 1em; margin-left: .2em;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg" alt="">.</p>
<p>If you are a commercial enterprise looking to incorporate the Cost of Deportations Calculator data in any product that will be sold or as part of services and data you provide to paying customers, you may request commercial use by <a href="mailto:news@epi.org" target="_blank" rel="noopener">contacting EPI</a>.</p>
<p><a class="epi-button" href="https://files.epi.org/uploads/The-Cost-of-Deportations-Calculator-data-Economic-Policy-Institute.xlsx" rel="nofollow" download="">Download the Cost of Deportations full dataset</a></p>
<p>Here’s our suggested citation: <cite>Economic Policy Institute. 2026. <em>The Cost of Deportations Calculator</em>.</cite></p>
</div></div>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="What is the methodology EPI economists and their partners used to create the Cost of Deportations Calculator?">What is the methodology EPI economists and their partners used to create the Cost of Deportations Calculator?</a></div><div class="epi-togglable-target togglee" style="display:none;">
<h6>What is the methodology EPI economists and their partners used to create the Cost of Deportations Calculator?</h6>
<p>The Cost of Deportations Calculator’s technical documentation outlines the methodology and defines the areas, and various components of the calculator. Any updates to the methodology will be released at the same time as the calculator data.</p>
<p><a href="https://www.epi.org/publication/the-cost-of-deportations-calculator-technical-documentation">Read the methodology and technical documentation. </a></p>
</div></div>
<hr>
<h4>Additional resources</h4>
<p><a href="https://files.epi.org/uploads/The-Cost-of-Deportations-Calculator-data-Economic-Policy-Institute.xlsx" rel="nofollow" download="">Download the full dataset</a> for the Cost of Deportations Calculator.</p>
<p><a href="https://www.epi.org/publication/the-cost-of-deportations-calculator-technical-documentation">Methodology + technical documentation</a>.</p>
<hr>
<p><strong>Source:</strong> <cite>Economic Policy Institute Cost of Deportations Calculator, © August 2026.</cite></p>
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		<title>The cost of mass deportations in states like Minnesota—and what federal tax dollars could be funding instead</title>
		<link>https://www.epi.org/blog/the-cost-of-mass-deportations-in-states-like-minnesota-and-what-federal-tax-dollars-could-be-funding-instead/</link>
		<pubDate>Mon, 03 Aug 2026 18:34:07 +0000</pubDate>
		<dc:creator><![CDATA[Gordon Lafer]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=blog&#038;p=324054</guid>
					<description><![CDATA[This week, EPI will release a new tool showing the cost of mass deportations to taxpayers in every U.S. city, county, and state.]]></description>
										<content:encoded><![CDATA[<p>This week, EPI will release <a href="https://www.epi.org/deportation-calculator" target="_blank">a new tool showing the cost of mass deportations</a> to taxpayers in every U.S. city, county, and state. For the first time, the actual economic tradeoffs imposed on all taxpayers will be shown in one place. Below, we preview the data for Minnesota, a prominent target of the Trump administration’s immigration enforcement crackdown earlier this year.</p>
<p>At a time when families across the country are struggling to afford housing, health care, and education, the Trump administration and its allies in Congress have been cutting support for basic needs and diverting huge sums of money to deportations.</p>
<p>In Minnesota, $4.4 billion in federal taxpayer dollars is being spent on detaining immigrants—many of whom are <a href="https://www.cnn.com/2026/01/30/us/refugees-asylum-seekers-minnesota-detained-ice">in the country lawfully</a>—and even some <a href="https://www.npr.org/2026/02/01/nx-s1-5689031/minnesota-citizens-detained-ice">U.S. citizens</a>. That means, on average, every household in the state is paying roughly $2,000 to track down, intimidate, detain, or deport people.</p>
<p>If that money were spent instead on programs proven to improve the lives of working families—education, health care, living wages—it could improve Minnesota communities dramatically. Here are a few different ways the money could be spent over the remaining 2.5 years of the Trump administration:</p>
<p><span id="more-324054"></span></p>
<ul>
<li>Schools across the state are being forced to <a href="https://mndaily.com/city/minnesota-public-schools-face-cuts-as-students-and-teachers-fight-to-save-vital-programs/05/07/2026/eicmndaily-com/">cut staff and increase class size</a>. With the money being spent on mass deportations, <strong>the state could hire 14,000 more full-time school teachers</strong>. This would mean, for example:
<ul>
<li>1,100 more teachers in Minneapolis</li>
<li>340 more teachers in Minnetonka</li>
<li>215 more teachers in Bloomington</li>
<li>140 more teachers in Duluth</li>
</ul>
</li>
<li>With the cuts to the Affordable Care Act, over 140,000 people in Minnesota are <a href="https://www.mprnews.org/story/2026/04/17/minnesota-up-against-the-clock-on-medicaid-changes">projected to lose their health insurance</a>. Due to cuts in Medicaid funding, hospitals are <a href="https://www.citizen.org/article/big-ugly-threat/">at risk of closing down</a> in Austin, Staples, Mahnomen, Baudette, Little Falls, Hibbing, and Minneapolis. With the money being spent on deportations, we could <strong>keep 129,000 people on health insurance</strong>, which would also help keep hospitals open.</li>
<li>Over <a href="https://dcyf.mn.gov/get-involved/speak-snap/cuts-snap-hurt-minnesotans">400,000 Minnesotans rely on food stamps</a>, primarily working families with children and elderly people on fixed incomes. But because of cuts in the 2025 Republican tax and spending megabill (the OBBBA), 45,000 people across the state are <a href="https://minnesotareformer.com/2025/05/29/45000-minnesotans-at-risk-of-losing-snap-benefits/">at risk of being cut off</a>. With the money being spent on deportations, <strong>Minnesota could protect food stamps for all hungry families in the state</strong>.</li>
<li>Last year, <a href="https://www.cbpp.org/blog/veterans-have-borne-trump-administrations-deep-cuts-to-federal-personnel">over 600 Veterans Administration positions</a> were cut in Minnesota. With the funds being diverted to deportations, we could reverse all these cuts and <strong>guarantee Minnesota veterans the care they deserve</strong>.</li>
<li>Or, instead of restoring any of these services, every household in Minnesota could be given a <strong>$2,000 tax refund</strong>.</li>
</ul>
<p>EPI and others have documented the <a href="https://www.epi.org/publication/trumps-deportation-agenda-will-destroy-millions-of-jobs-both-immigrants-and-u-s-born-workers-would-suffer-job-losses-particularly-in-construction-and-child-care/">economic harms</a> of a draconian immigration policy and enforcement on immigrants and their families, as well as <a href="https://www.epi.org/blog/unemployment-has-increased-for-u-s-born-workers-in-the-face-of-mass-deportations-trumps-draconian-immigration-enforcement-is-harming-all-workers/">U.S.-born workers</a> and the economy as a whole. Any of the alternatives listed above would be a better use of taxpayer dollars for improving the welfare of everyday Minnesotans. It is critical that we take into account the missed opportunities of funding a mass deportation regime, including the badly needed services being ignored or cut off to keep this policy funded and to keep immigrants living in fear.</p>
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		<title>Immigration enforcement won&#8217;t just hurt immigrants—it will follow their classmates into public schools too</title>
		<link>https://www.epi.org/blog/immigration-enforcement-wont-just-hurt-immigrants-it-will-follow-their-classmates-into-public-schools-too/</link>
		<pubDate>Tue, 30 Jun 2026 17:45:49 +0000</pubDate>
		<dc:creator><![CDATA[Hilary Wething]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=blog&#038;p=323058</guid>
					<description><![CDATA[Immigration enforcement hurts many aspects of public life, and public schools have not been spared. ICE enforcement campaigns in cities like Washington and Minneapolis have turned public schools into staging grounds for raids: ICE agents are arresting parents and students who are suspected to be undocumented, and spreading fear among immigrant children and their families and school officials.]]></description>
										<content:encoded><![CDATA[<p>Immigration enforcement hurts many aspects of public life, and public schools have not been spared. ICE enforcement campaigns in cities like <a href="https://www.washingtonpost.com/immigration/2025/09/11/immigrants-school-kids-trump-dc/">Washington</a> and <a href="https://www.mprnews.org/story/2026/01/23/how-schools-and-students-are-affected-by-ice-enforcement">Minneapolis</a> have turned public schools into staging grounds for raids: ICE agents are arresting parents and students who are suspected to be undocumented, and spreading fear among immigrant children and their families and school officials. Additionally, anti-immigration advocates are making a play to overturn a landmark Supreme court ruling, <a href="https://www.uscourts.gov/educational-resources/educational-activities/access-education-rule-law"><em>Plyler v. Doe</em></a>, which ruled that states cannot deny students a free public education based on their immigration status.</p>
<p>In the last two years, Republicans in <a href="https://tennesseelookout.com/2025/04/23/tennessee-bill-denying-immigrant-children-right-to-an-education-dead-for-year/">Tennessee</a> have attempted to push legislation that would violate <em>Plyler</em> to set the stage to challenge the court decision (although neither proposal passed). Last year, the state proposed charging undocumented students tuition for public schools, and this year, Tennessee attempted to pass legislation to track the immigration status of all public school students.</p>
<p>The 1982 ruling of<em> Plyler v. Doe</em> is notable because it stated that the harm of <a href="https://www.americanimmigrationcouncil.org/wp-content/uploads/2025/01/public_education_for_immigrant_students_understanding_plyer_v_doe.pdf">not educating undocumented children would be worse for society than providing a basic education</a> to all children in the U.S. The ruling recognized the huge positive spillovers public education has on the U.S. labor market, public health, and civil society and that leaving immigrant children out of public education would create an “<a href="https://www.uscourts.gov/educational-resources/educational-activities/access-education-rule-law">underclass</a>” in U.S. society.</p>
<p>Moreover, if the move to deny public education to children in the U.S. is successful, particularly in pockets of the country where immigrant children are a substantial share of the student population, it will lead to an extraordinarily high cost for the students who remain in public school.</p>
<p><span id="more-323058"></span></p>
<h4>Some school costs are hard to adjust, regardless of the number of students</h4>
<p>Across the country, an estimated <a href="https://www.kff.org/racial-equity-and-health-policy/potential-impacts-of-increased-immigration-enforcement-on-school-attendance-and-funding/">17% of school-aged children</a> live with at least one noncitizen adult, according to the Kaiser Family Foundation. If these students were to leave suddenly, schools would be left to educate a fewer number of kids without any time to adjust their fixed costs. For example, when Alabama passed an immigration data collection law, <a href="https://www.americanimmigrationcouncil.org/blog/justice-department-says-alabama-immigration-law-disrupts-access-to-public-education/">more than 13% of Hispanic</a> schoolchildren withdrew from classes.</p>
<p>At first, it would seem that reducing enrollment would reduce both total revenue and the number of students needing educational services proportionately, which should leave the schools’ ability to provide education unaffected. But schools can’t adjust every educational cost quickly: School bus routes still need to circulate to all stops, even if there is one fewer child in need of transit; buildings need to be heated and cooled, even if classroom size goes down; and guidance counselors and support staff are still required to support the remaining students.</p>
<h4>School districts will pay more per pupil if student enrollment declines because of immigration enforcement</h4>
<p>Since these fixed costs can’t be adjusted in the short run, when total revenue declines due to families’ fears of deportation, districts are stuck paying&nbsp;<em>more&nbsp;</em>per pupil on costs they can’t adjust. Effectively, native-born students who remain in public schools receive no additional benefit when immigrant students are denied services and rights. Districts instead will be paying more on costs that can’t be adjusted and getting less on the costs that can be adjusted for fewer students.</p>
<h4>Calculating the cost under two different scenarios</h4>
<p>We call all the costs of downward adjustment that occur when enrollment is reduced the fiscal externality. This means the per-pupil funds each district would require to maintain the same level of spending for remaining public school students due to a rapid decline in enrollment. This cost is entirely borne by state and local education budgets and leaves districts unable to deliver the same level of instruction to the remaining public-school pupils.</p>
<p>For districts with a large share of school-aged children in immigrant families, the costs of losing these students could be substantial. <strong>Table 1 </strong>shows the top-25 school districts, based on the number of K–12 students that are in immigrant families and the corresponding fiscal externality for two scenarios. In the first scenario, half of these students stop attending public school (referred to as the lower bound in the table). In the second scenario, all of these students stop attending public school (referred to as the upper bound in the table).</p>
<p><iframe id="datawrapper-chart-BqE3b" style="width: 0; min-width: 100% !important; border: none;" title="Districts may bear the cost of immigration enforcement" src="https://datawrapper.dwcdn.net/BqE3b/11/" height="1194" frameborder="0" scrolling="no" aria-label="Table" data-external='1'></iframe>&lt;</p>
<p>The implications of a reversal of <em>Plyler v. Doe</em> or any type of policy restricting immigrant children’s access to public education would be extreme for these districts. In Houston, Texas, where 62% of students in the school district are Hispanic, we estimate that nearly 63,000 students may live in a household with immigrants and as such, might be vulnerable to dropping out of school due to anti-immigration efforts. The lower bound shows the costs if half of these students stopped showing up. Houston School District would have to reduce services by $1,654 for each remaining (and disproportionately native-born) public school student. This decline translates to a total fiscal externality of <strong>$268 million a year</strong>, or <strong>11% of the total budget</strong> for the school district.</p>
<p>The extraordinarily high cost <em>to native-born students</em> of losing students in immigrant families due to anti-immigrant policies highlights the hypocrisy in the anti-immigrant movement. If all students in immigrant families stopped attending public school tomorrow, not only would those students suffer from the lack of public education, but the quality of public education would be much worse for the remaining students in those same schools. In short, no one wins. When the costs are tallied up, it’s clear that these policies are not about improving education quality for native-born students, but instead are malicious attacks on the institution of public education in the U.S.</p>
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		<title>The Cost of DHS Attacks on Immigrants</title>
		<link>https://www.epi.org/event/the-cost-of-dhs-attacks-on-immigrants/</link>
		<pubDate>Thu, 25 Jun 2026 17:00:48 +0000</pubDate>
		<dc:creator><![CDATA[]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=event&#038;p=322478</guid>
					<description><![CDATA[The Trump administration&#8217;s deployment of DHS agencies—such as ICE—has caused irreparable harm to our communities, neighbors, and families across the country.]]></description>
										<content:encoded><![CDATA[<p>The Trump administration&#8217;s deployment of DHS agencies—such as ICE—has caused irreparable harm to our communities, neighbors, and families across the country. The economic costs are also substantial—and mounting.</p>
<p>University of Colorado Economics Professor <strong>Chloe N. East</strong>, Senior Economist and Deputy Director of Research at the W.E. Upjohn Institute for Employment Research <strong>Aaron Sojourner</strong>, and Executive Director at DC Fiscal Policy Institute <strong>Erica Williams</strong> discussed how the Trump administration’s mass deportation campaign is harming workers, businesses, and the broader economy with case studies on Minneapolis and the greater Washington, D.C. region.</p>
<p>&nbsp;<br />
<iframe title="The Economic Cost of DHS Attacks on Immigrants" width="600" height="338" src="https://www.youtube.com/embed/zPVRnqB3Wxs?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe><br />
&nbsp;</p>
<h4>Webinar links, notes and discussion</h4>
<p>Timestamped themes, discussion, and resources mentioned in the webinar</p>
<p><a href="https://files.epi.org/uploads/Deportations_and_Labor_Market-25-1.pdf" target="_blank"><strong>Chloe N. East presentation deck</strong></a></p>
<p><a href="https://files.epi.org/uploads/fin-DHS-EconImp-Labor-202606-EPI.pdf" target="_blank"><strong>Aaron Sojourner presentation deck</strong></a> </p>
<div class="epi-togglable-container  "><div><a href="#" class="epi-togglable-link toggler" data-close-text="Close" data-open-text="Open">Open</a></div><div class="epi-togglable-target togglee" style="display:none;">
<p>4:49 &#8211; <a href="https://www.nber.org/papers/w34794?utm_campaign=ntwh&#038;utm_medium=email&#038;utm_source=nt" target="_blank">ICE arrests across Trumps&#8217;s first and second terms: Variation in targeting, method, and geography</a> (<a href="https://www.chloeneast.com/uploads/8/9/9/7/8997263/w34794.pdf" target="_blank">pdf version</a>)</p>
<p>CLASP brief from Chloe <a href="" target="_blank">ICE Activity in Trump 2.0 is Increasing Employment and Decreasing Full-Time School Enrollment for Teens in Mixed-Status Families</a></p>
<p><a href="https://zekehernandez.net/research/ice-ing-the-economy-immigration-enforcement-under-trump-2-0-and-local-economic-activity/" target="_blank">Do immigrant workers depress the wages of native workers?</a>  </p>
<p>12:10 &#8211; Read Aaron’s analysis for NorthStar Policy Action: <a href="https://northstarpolicy.org/labor-outcomes/" target="_blank">Impact of DHS Agent Surge on Minneapolis-Saint Paul Metro Area Labor Outcomes</a> </p>
<p>13:19 &#8211; IRI has highlighted Dr.East’s research in reports with partners across 17 states here: <a href="https://immresearch.org/reports/stateimpactsofmassdeportation/" target="_blank">The Economic and Fiscal Impacts of Mass Deportation: What’s at Risk in Your State?</a></p>
<p>13:21 &#8211; Story on the impact of ICE raids on local economies based in part on Dr. East&#8217;s research: <a href="https://www.bloomberg.com/news/features/2026-05-21/ice-raids-inflicted-lasting-economic-damage-in-charlotte-data-show?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc4MjQwODA3NCwiZXhwIjoxNzgzMDEyODc0LCJhcnRpY2xlSWQiOiJURkRWVzZLR0NUSjMwMCIsImJjb25uZWN0SWQiOiJDQkJFMDE5Rjc1MTA0MEIzOTY1MThDNUFBRUI5M0QyRCJ9.HWtg21Qem8K5To0RK8lM8Om98kdP-rOg3VHTrfPFg9I&#038;leadSource=uverify%20wall" target="_blank">ICE raids did lasting damage to American business</a></p>
<p>13:28 &#8211; <a href="https://northstarpolicy.org/leisure-and-hospitality/" target="_blank">The Impact of Operation Metro Surge on Minnesota’s Leisure and Hospitality Sector</a></p>
<p>Related in CES Info: <a href="https://www.ifo.de/en/cesifo/publications/2026/working-paper/immigration-enforcement-visibility-and-consumer-spending" target="_blank">Immigration Enforcement Visibility and Consumer Spending</a></p>
<p><a href="https://zekehernandez.net/research/ice-ing-the-economy-immigration-enforcement-under-trump-2-0-and-local-economic-activity/" target="_blank">ICE-ing the Economy: Immigration Enforcement Under 2.0 and Local Economic Activity</a> </p>
<p>13:29 &#8211; Additional state-by-state data that are specific to the TPS population, <a href="https://budgetmodel.wharton.upenn.edu/p/2025-11-19-550-000-workers-lose-status-by-end-of-2025/" target="_blank">useful analysis by UPenn</a></p>
<p>13:31 &#8211; <a href="https://dcfpi.org/all/the-devastating-economic-and-human-toll-of-mass-deportation" target="_blank">The Devastating Economic and Human Toll of Mass Deportation</a> from DCFPI </p>
<p>13:31 &#8211; shared from an attendee <a href="https://www.sfchronicle.com/us-world/article/immigration-attorney-detained-sfo-dhs-watchlist-22315192.php" target="_blank">Immigration attorney stopped and searched at SFO, told by DHS he was on ‘watch list’</a></p>
<p>13:33 &#8211; Chloe’s commentary for Brookings: <a href="https://www.brookings.edu/articles/the-labor-market-impact-of-deportations/" target="_blank">The Labor market impact of deportations</a></p>
<p>13:34 &#8211; <a href="https://theconversation.com/when-ice-ramped-up-enforcement-us-born-workers-didnt-see-any-economic-gains-283011" target="_blank">When ICE ramped up enforcement, U.S.-born workers didn’t see any economic gains</a></p>
<p>13:35 &#8211; Related piece from EPI’s Ben Zipperer and Daniel Costa: <a href="https://www.epi.org/blog/unemployment-has-increased-for-u-s-born-workers-in-the-face-of-mass-deportations-trumps-draconian-immigration-enforcement-is-harming-all-workers/" target="_blank">Unemployment has increased for U.S.-born workers in the face of mass deportations</a></p>
<p>13:38 &#8211; shared by an attendee: <a href="https://deportationdata.org/index.html" target="_blank">An academic project on deportation data</a> (not specifically labor market aspects) compiled using public litigation records</p>
<p>13:39 &#8211; Chloe shared <a href="https://www.pnas.org/doi/10.1073/pnas.2510395122" target="_blank">a paper on ICE and school attendance</a> in addition to the report posted above</p>
<p>13:40 &#8211; shared by an attendee: Another paper on ICE and attendance, <a href="https://edworkingpapers.com/ai26-1453" target="_blank">Immigration Enforcement Actions and Empty Desks: Persistent and Acute Attendance Effects</a>; and EdWorkingPapers at Annenberg/Brown had <a href="https://edworkingpapers.com/webinar-series" target="_blank">an excellent webinar</a> about attendance impacts &#8211; recording and slides aren&#8217;t yet posted</p>
<p>13:43 &#8211; shared by an attendee: some <a href="https://www.mecep.org/blog/immigration-operations-cost-maines-economy-millions/" target="_blank">analysis of school attendance data during the smaller surge in Maine</a>. Significant declines among students of color.</p>
<p>13:46 &#8211; Related in CES Info: <a href="https://www.ifo.de/en/cesifo/publications/2026/working-paper/immigration-enforcement-visibility-and-consumer-spending" target="_blank">Immigration Enforcement Visibility and Consumer Spending</a> and <a href="https://zekehernandez.net/research/ice-ing-the-economy-immigration-enforcement-under-trump-2-0-and-local-economic-activity/" target="_blank">ICE-ing the Economy: Immigration Enforcement Under 2.0 and Local Economic Activity</a> </p>
<p>13:49 &#8211; From Chloe: <a href="https://www.brookings.edu/articles/how-many-children-are-affected-by-parental-immigrant-detention/" target="_blank">Useful report on how many children have been directly impacted by a parent being detained or deported</a></p>
<p>13:50 &#8211; From Chloe: <a href="https://www.brookings.edu/articles/immigration-and-the-future-of-social-security/" target="_blank">Immigration and the future of Social Security</a></p>
<p>13:52 &#8211; Ben Zipperer looked into these impacts in partnership with NDWA: <a href="https://www.epi.org/blog/trumps-deportation-plans-threaten-400000-direct-care-jobs-older-adults-and-people-with-disabilities-could-lose-vital-in-home-support/" target="_blank">Trump’s deportation plans threaten 400,000 direct care jobs</a></p>
<p>13:52 &#8211; an attendee shared a report of what happened in their neighborhood: <a href="https://evanstonroundtable.com/2025/11/18/city-has-referred-halloween-incident-with-feds-to-illinois-attorney-general-biss-says/" target="_blank">City has referred Halloween incident with feds to Illinois attorney general, Biss says</a></p>
<p>13:53 &#8211; Chloe shared the book she is currently reading <em><a href="https://www.plutobooks.com/product/immigration-detention-inc/" target="_blank">Immigration Detention Inc. The Big Business of Locking up Migrants</a></em> which discussion the industry capitalizing on immigrant incarceration</p>
<p>13:54 &#8211; an attendee shared <a href="https://www.wired.com/story/department-homeland-security-ice-billion-dollar-agreement-palantir/" target="_blank">DHS Opens a Billion-Dollar Tab With Palantir</a></p>
<p>13:55 &#8211; an attendee shared <a href="https://www.theguardian.com/us-news/2026/may/26/us-immigration-flights-emissions" target="_blank">Revealed: huge climate cost of harmful emissions from US immigration flights</a> and <a href="https://www.theguardian.com/us-news/2026/apr/15/ice-desert-detention-camp-east-montana" target="_blank">‘Psychological torture’: outcry over conditions at ICE desert detention camp</a></p>
<p>13:56 &#8211; an attendee shared resources from KFF <a href="https://www.kff.org/immigrant-health/the-role-of-immigrants-in-the-u-s-health-care-workforce/" target="_blank">The Role of Immigrants in the U.S. Health Care Workforce</a>, <a href="https://www.kff.org/immigrant-health/health-and-health-care-experiences-of-immigrant-parents-and-their-children-during-the-second-trump-term/" target="_blank">Health and Health Care Experiences of Immigrant Parents and Their Children During the Second Trump Term</a>, <a href="https://www.kff.org/immigrant-health/kff-new-york-times-2025-survey-of-immigrants-health-and-health-care-experiences-during-the-second-trump-administration/" target="_blank">KFF/New York Times 2025 Survey of Immigrants: Health and Health Care Experiences During the Second Trump Administration</a>, <a href="https://www.kff.org/racial-equity-and-health-policy/kff-new-york-times-2025-survey-of-immigrants-worries-and-experiences-amid-increased-immigration-enforcement/" target="_blank">KFF/New York Times 2025 Survey of Immigrants: Worries and Experiences Amid Increased Immigration Enforcement</a></p>
</div></div>
<hr>
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		<title>EPI comment on DOL proposed rule to update the prevailing wage methodology for the H-1B, H-1B1, and E-3 visa programs, and EB-2 and EB-3 green cards</title>
		<link>https://www.epi.org/publication/epi-comment-on-dol-proposed-rule-to-update-the-prevailing-wage-methodology-for-the-h-1b-h-1b1-and-e-3-visa-programs-and-eb-2-and-eb-3-green-cards/</link>
		<pubDate>Tue, 26 May 2026 17:12:20 +0000</pubDate>
		<dc:creator><![CDATA[Daniel Costa, Ron Hira]]></dc:creator>
		<guid isPermaLink="false">https://www.epi.org/?post_type=publication&#038;p=322162</guid>
					<description><![CDATA[Submitted via&#160;FederalRegister.gov at Brian D. Administrator, Office of Foreign Labor Employment and Training Department of Room 200 Constitution Avenue Washington, DC RE: Department of Labor, Employment and Training Administration, Improving Wage Protections for the Temporary and Permanent Employment of Certain Foreign Nationals in the United States, Notice of Proposed Rulemaking, DOL Docket No.]]></description>
										<content:encoded><![CDATA[<p><em>Submitted via&nbsp;FederalRegister.gov at </em><a href="https://www.federalregister.gov/documents/2026/03/27/2026-06017/improving-wage-protections-for-the-temporary-and-permanent-employment-of-certain-foreign-nationals"><em>https://www.federalregister.gov/documents/2026/03/27/2026-06017/improving-wage-protections-for-the-temporary-and-permanent-employment-of-certain-foreign-nationals</em></a></p>
<p>Brian D. Pasternak,<br />
Administrator, Office of Foreign Labor Certification<br />
Employment and Training Administration<br />
Department of Labor<br />
Room N-5311<br />
200 Constitution Avenue NW<br />
Washington, DC 20210</p>
<p><strong>RE:</strong> <strong>Department of Labor, Employment and Training Administration, </strong><a href="https://www.federalregister.gov/documents/2026/03/27/2026-06017/improving-wage-protections-for-the-temporary-and-permanent-employment-of-certain-foreign-nationals"><strong><em>Improving Wage Protections for the Temporary and Permanent Employment of Certain Foreign Nationals in the United States</em></strong></a><strong>, Notice of Proposed Rulemaking, DOL Docket No. ETA-2026-0001, RIN 1205-AC30 (March 27, 2026)</strong></p>
<p>Dear Brian Pasternak:</p>
<p>The Economic Policy Institute (EPI) is a nonprofit, nonpartisan think tank established in 1986 to include the needs of low- and middle-income workers in economic policy discussions. EPI conducts research and analysis on the economic status of working America, proposes public policies that protect and improve the economic conditions of low- and middle-income workers—regardless of immigration status—and assesses policies with respect to how well they further those goals. EPI submits these comments on the Department of Labor’s (DOL) Notice of Proposed Rulemaking (NPRM) regarding the updated four-tiered wage structure for H-1B, H-1B1, and E-3 nonimmigrant workers and DOL permanent labor certifications for employment-based permanent immigrant visas (i.e. green cards) in the second and third employment-based preference categories (EB-2 and EB-3). EPI has researched, written, and commented extensively on the U.S. system for labor migration, including in particular, the H-1B program and other temporary work visa programs and green cards. EPI has published extensively on H-1B wage levels and employer usage and abuse of H-1B and other visa programs.{{1}}</p>
<p>EPI generally supports the main substance of the NPRM and believes it is an improvement as compared to the status quo for the current four-tiered wage structure for H-1B, and will also improve H-1B1 and E-3 nonimmigrant visas, and permanent labor certifications in EB-2 and EB-3, because the NPRM will make incremental progress towards ensuring that the wages of U.S. workers are safeguarded and that the Labor Condition Application (LCA) and PERM programs are not hijacked by employers as a loophole to underpay migrant workers according to U.S. wage standards. The proposal will also help disincentivize firms from using H-1B visas as a primary tool to outsource professional jobs and send them overseas.</p>
<p>However, as we will detail in this comment, we believe DOL should go beyond what the NPRM proposes by setting the wage floor—i.e. the Level I wage—at the 50<sup>th</sup> percentile so that no H-1B, H-1B1, E-3, EB-2, or EB-3 jobs are ever certified at a wage that is below the local median wage for the occupation. If DOL implements such a rule in the final version of the regulation, the rule would address a major critique EPI has long held about the program, and which Members of Congress from both major parties have attempted to address through repeatedly proposed legislation that was first introduced nearly two decades ago.</p>
<p>It must also be noted at the outset of these comments that recent actions taken by DOL with respect to wages for migrant workers in temporary work visa programs have been inconsistent and confusing. While DOL is considering action proposed in this NPRM that will raise wage rates closer to true market rates for migrant workers in the H-1B, H-1B1, and E-3 visa programs, as well as those with labor certifications for EB-2 and EB-3 green cards, it is important to note that in October of 2025, DOL issued a new wage rule for the H-2A program that will cut wages dramatically for the migrant farmworkers in that program and unfairly charge them for lodging{{2}}—which, as EPI has estimated—will lead to a pay cut of roughly $2 billion for H-2A farmworkers and $3 billion for U.S. farmworkers per year.{{3}} DOL should issue regulations that lead to improved labor standards and fair wages for all work visa programs, and not treat workers differently based on their education levels, occupations, and nationalities. All temporary migrant workers deserve to be paid fairly for their work, and no work visa programs should operate as loopholes that allow employers to legally underpay migrant workers.</p>
<h2>The NPRM is an improvement on the status quo but DOL should amend the proposal to better protect workers</h2>
<p>In general, the NPRM improves upon the current wage structure but should be further enhanced to better protect workers and align the program with congressional intent and the goals of the H-1B statute. The principal change made by the NPRM is to update the four prevailing wage levels required in the H-1B, H-1B1, and E-3 visa programs—temporary work visa programs for college-educated migrant workers—setting levels at higher percentiles in the Occupational Employment and Wage Statistics (OEWS) survey distribution of wages, in order to more adequately reflect market wage rates in the U.S. labor market. The NPRM also applies the new wage rates/percentiles to the permanent labor certification requirements for employment-based (EB) green cards in the EB-2 and EB-3 preference categories (sometimes referred to as the PERM process).{{4}}</p>
<p>The current and newly proposed wage level percentiles are as follows:</p>


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<p>As we have detailed in published research,{{5}} the two lowest wage levels in the current wage computation method are below the local median wage according to the occupation and local area based on DOL wage survey data in the OEWS, allowing employers to undercut U.S. wage standards. The NPRM sets the lowest wage level at the 34<sup>th</sup> percentile, previously the Level II wage, thereby continuing to permit employers to pay H-1B workers at below-market wage rates—but not at the absurdly low levels allowed by the current Level I wage at the 17<sup>th</sup> percentile.</p>
<p>DOL’s faulty prevailing wage computation has cost foreign-born workers at least $6.56 billion annually (see NPRM Exhibit 1). Even that is likely to be a serious underestimate for two reasons. First, it does not account for the losses suffered by U.S. workers and students who have had their wages, job opportunities, and career development suppressed and undermined as a result of the current wage methodology. Second, it does not estimate the costs incurred due to foreign-born workers’ weakened bargaining power vis-à-vis their employment through nonimmigrant visa programs. Employers exert much more control over visa workers than U.S. workers and permanent residents. Foreign-born workers on nonimmigrant visas have less opportunity to, and are far less likely to, switch jobs. Switching jobs, or the threat of switching jobs, is fundamental to any worker’s ability to demand higher wages and better working conditions. Professor George Borjas estimates that, in fiscal year (FY) 2024, visa holders had an annual separation rate of 9.4%, less than half of comparable U.S. workers.{{6}} Workers also face dire circumstances should they be terminated. They must find a new job within 60 days or else leave the United States. All these conditions place foreign-born workers in the H-1B, H-1B1, and E-3 visa programs in a much weaker position than similarly situated U.S. counterparts when bargaining for wages and working conditions. Simply put, foreign-born visa workers have fewer employment rights than U.S. citizens and permanent residents, and employers rationally take advantage of their relatively weak position when setting employment terms. Further, the agency has never enforced the Labor Condition Application’s (LCA) <em>Working Conditions</em> attestation, where employers promise to “not adversely affect the working conditions of workers similarly employed,” so employers disregard it.</p>
<p>In addition, the ability of H-1B workers to become lawful permanent residents and remain in the United States is entirely up to the whims of their employers. Even after working for an employer for six years in H-1B status, the employer has the power to decide if an H-1B worker can remain in the country—in many cases after an H-1B worker has established firm roots in the United States. That power keeps H-1B workers from complaining and asserting their employment rights. That leaves H-1B workers in a difficult position where they might decide, rationally, to abandon any demands for higher wages and better working conditions in exchange for the possibility of being sponsored for lawful permanent residence.</p>
<p>Prevailing wages must be raised sufficiently to compensate for this government-created labor market distortion, to protect both foreign-born workers with nonimmigrant visas and U.S. workers who already reside in the United States.&nbsp;</p>
<p>DOL’s proposal to increase the wage-level percentiles is the best approach. It is straightforward and understandable to implement. The effects are easily modeled. Employers can respond to it predictably and effectively. It will improve the quality and skill mix of the pool of workers who are issued visas, pay those workers fairer salaries, and have fewer adverse impacts on the domestic workforce and labor supply. Recent results reported by United States Citizenship and Immigration Services (USCIS), from the fiscal year (FY) 2027 H-1B lottery, the first to use the new wage-level weighting process, show that a large majority of H-1B registrations selected met at least the 34th percentile threshold, 82%, while also increasing the share of F-1 advanced degree graduates selected from 57% to 71.5%.{{7}} The latter demonstrates that concerns about this proposal shutting off the foreign student pipeline are overblown and misguided.</p>
<p>However, as noted above, the increases don’t go far enough. We believe that the Level I wage should be set no lower than the median (50th percentile) to effectively adjust for the non-compensated effects of limited job-switching, an absent or ineffective labor market test, weaker bargaining position, and non-enforcement of the actual wage requirement. Recent college graduates, especially those earning degrees in computer science and computer engineering, are facing the highest unemployment rates amongst all majors according to analysis by the New York Federal Reserve Bank, and the worst job market in recent memory according to dozens of media accounts.{{8}}{{9}} Most analysts and executives predict that artificial intelligence (AI) will only make that labor market segment even worse. Major firms have laid off thousands of workers, citing AI the reason they need fewer workers. Many of those same firms employ thousands of H-1B workers. AI is predicted to reduce labor demand especially of recent graduates, the very U.S. workers competing for Level I jobs. The rules should ensure that workers assigned at Level I wages have truly special skills and will not undercut opportunities for recent university graduates.</p>
<h2>Analysis of the NPRM: “Improving Wage Protections for the Temporary and Permanent Employment of Certain Foreign Nationals in the United States”</h2>
<h3><strong>1. </strong><strong>Raising wages for H-1B workers and permanent labor certifications will benefit migrant workers and protect wage standards for U.S. workers</strong></h3>
<p>For years, H-1B employers have been allowed to pay their H-1B workers at wage rates that do not reflect local market rates, by having an option to pay them at the two lowest permitted wage levels. Our 2020 report discusses the available data, the mechanics of the current rule, and why it is important to modify the H-1B wage levels to adequately reflect market wages and ensure that H-1B workers are paid fairly, and to preserve U.S. wage standards.{{10}} In the report, we recommend that DOL prohibit any H-1B job from being certified at a wage that is below the local median for the occupation and region. In that respect, by proposing to set the lowest wage level (Level I) at the 34<sup>th</sup> percentile, DOL’s NPRM fails to do enough to protect wage standards in H-1B jobs. In the report we also recommend that DOL prohibit downward pressure on wages at the national level by requiring that every H-1B job be certified at a wage that is no lower than the national median wage for the occupation.</p>
<p>Many commentators on this NPRM, especially from the business community, including universities, are likely to claim that raising wages for migrant workers and safeguarding U.S. wage standards will harm the U.S. economy. When the misleading rhetoric is stripped away, the employers who oppose higher wage percentiles for H-1B, H-1B1, and E-3 visas, and EB-2 and EB-3 green cards, are simply claiming, in essence, that employers will only hire workers in the LCA and PERM programs if they are underpaid relative to similarly situated U.S. workers, and portray higher wages as an obstacle to migration or to the hiring of adequate talent that will prevent them from being successful and innovating.</p>
<p>Accepting this argument leads to a race to the bottom in terms of labor standards and excuses the co-optation of the immigration system in order to pad corporate profits. And such a line of argumentation is not supported by the available evidence. In fact, many advocates on all sides of the current H-1B debate now agree that the current H-1B wage rules are undercutting U.S. wage standards and should be updated. Even previous staunch defenders of the status quo, such as those representing or funded by the tech industry, as well as representatives of major employer associations, now admit that U.S. wages and U.S. workers are being undercut via the current prevailing wage rule.{{11}}</p>
<p>Adequate labor standards are never a barrier to migration or economic success—instead, they are a prerequisite to fair treatment for the migrant workers who are recruited by employers into the U.S. labor market and similarly situated U.S. workers.</p>
<p>Under the current rule, the wages of H-1B workers are being kept artificially low. The higher wage levels in DOL’s NPRM are more reasonable and closer to reflecting market wages in particular occupations and specific geographic regions. In other words, DOL’s proposal will push wage levels <em>toward</em> market wages, meaning it will <em>increase </em>labor market efficiency. It will also improve the quality and skill mix of the pool of foreign-born workers who are hired, increasing the productivity and innovation spillovers that skilled immigration promises.</p>
<h3><strong>2. </strong><strong>DOL should raise the wage percentiles so that Level I is set no lower than the 50<sup>th</sup> percentile of total wages surveyed in an occupation and region and prohibit any LCA or PERM approval for a wage that is lower than the national average for the occupation</strong></h3>
<p>The purpose of the H-1B and related programs is to “help employers who cannot otherwise obtain needed business skills and abilities from the U.S. workforce.”{{12}}&nbsp;Specialized skills should command high wages; such skills are typically a function of inherent capability, education level, and experience. It would be reasonable to expect that these workers should receive wages higher than the local median wage. One would therefore expect most H-1B positions to be assigned as Level IV (the only current wage level above the median), but as DOL and USCIS data show, H-1B employers as a whole assign only a very small minority of H-1B positions as Level IV, usually roughly 15% or less in recent fiscal years, while as DOL notes in the NPRM, 63% of H-1B positions were assigned at Levels I and II. For all LCA programs, DOL notes in the NPRM that in FY 2024, 16% of all LCA positions were certified at Level IV. At the USCIS petition level, Level IV wages are even less common: data disclosed by USCIS shows that in 2019 and 2020, only 4% of approved petitions for new employment under the regular cap were assigned at Level IV and only 2% of approved new H-1B petitions under the advanced degree exemption cap were assigned at Level IV.{{13}} We also know from more recent data from DHS that the five-year average of H-1B registrations at Level IV was just 5% over the FY 2020 to 2024 period.{{14}}</p>
<p>The data presented in our reports over the past decade and a half and more recently, the data reported by USCIS on the distribution of H-1B petitions by wage level, all point to the obvious fact that nearly all H-1B employers, but especially the largest employers, use the H-1B program&nbsp;<em>either</em>&nbsp;to hire relatively lower-wage workers (relative to the wages paid to other workers in their occupation) who possess ordinary skills&nbsp;<em>or</em>&nbsp;to hire skilled workers and pay them less than the true market value of their work. Either possibility raises important policy questions about the use and allocation of H-1B visas.</p>
<p>By setting two of the H-1B prevailing wage levels so low relative to the median and not requiring that firms pay at least market wages to H-1B workers, DOL has incentivized firms to earn extraordinary profits by legally hiring much-lower-paid H-1B workers instead of workers earning at least the local median wage. The fact that firms earn those profits through poorly crafted wage rules and by underpaying H-1B workers—instead of by offering a better or more innovative product or service—means DOL has, in effect, made wage arbitrage a feature of the H-1B program. And as the wage-level data we have reported on and cited here clearly shows, nearly all H-1B employers are exploiting these H-1B wage rules in order to pay below-median wages.{{15}} We believe the evidence is clear that these firms are not using the H-1B program sparingly to hire truly specialized workers, nor are they using it only when U.S. workers are unavailable. Given the business models and occupations, it is likely that the H-1B1 and E-3 programs are being abused similarly.</p>
<p>So how should DOL set a wage rule that guards against this and complies with the statutory requirement to prevent adverse effects on wages and working conditions?</p>
<p>The existing statutory language that sets out the H-1B prevailing wage requires four H-1B wage levels, but it does not prescribe specific percentiles, and no law requires DOL to set any of these prevailing wage levels below the local median wage. To ensure that H-1B workers possess specialized skills and are fairly paid, and to protect local wage standards and eliminate wage arbitrage as a feature of the H-1B program, <strong>DOL should issue a final rule that sets the lowest (Level I) wage for the LCA programs and EB-2 and EB-3 green cards at the 50th percentile for the occupation and local area, at least, and require that wage offers to workers in the LCA and EB-2 and EB-3 programs never be lower than the national median wage for the occupation, in order to prevent downward pressure on wages nationwide. </strong></p>
<p>Requiring and enforcing above-median wages for H-1B and other LCA and PERM program workers would disincentivize the hiring of workers with nonimmigrant visas and green cards as a money-saving exercise, ensuring that companies will use the program as intended—i.e., to bring in workers who have special skills—instead of using them as a way to hire underpaid indentured workers for jobs that require at least a college degree.</p>
<h3><strong>3. </strong><strong>DOL should set the updated wage percentiles at the 50<sup>th</sup>, 62<sup>nd</sup>, 75<sup>th</sup>, and 90<sup>th</sup> percentiles according to the total surveyed wages for the occupation and local area in the OEWS</strong></h3>
<p>As noted and discussed above, the lowest wage level, Level I, should be set no lower than at the 50<sup>th</sup> percentile. Instead of the proposed four wage levels in the NPRM, DOL should set the lowest wage level, Level I, at the median wage (at the 50<sup>th</sup> percentile), Level II at the 62<sup>nd</sup> percentile, Level III at the 75<sup>th</sup> percentile, and Level IV at the 90<sup>th</sup> percentile—according to the overall distribution of OEWS wages for each occupation and region. (See table below.)</p>


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<p>These levels would ensure that no LCA or EB-2 or EB-3 positions are certified at a wage that is below the overall local median wage for an occupation, which in turn will prevent downward pressure on U.S. wage rates in such occupations. An additional benefit of using the 50<sup>th</sup>, 62<sup>nd</sup>, 75<sup>th</sup>, and 90<sup>th</sup> percentiles, as DOL points out, is “that they are close to dividing the upper half of the distribution equally.”{{16}}</p>
<h3><strong>4. </strong><strong>DOL’s experience benchmarking proposal is inferior to the NPRM’s core proposal on wage levels and should not be implemented</strong></h3>
<p>The NPRM requests comments on ‘experience benchmarking’ as an alternative computational method to the core proposal of Level I at the 34<sup>th</sup> percentile, Level II at the 52<sup>nd</sup>, Level III at the 70<sup>th</sup>, and Level IV at the 88<sup>th</sup> percentile, based on the overall OEWS wages by occupation and region. <strong>We believe that this experience benchmarking alternative is significantly inferior to the core proposal and urge DOL to reject it for four main reasons.</strong> First, the methodological description is insufficient to evaluate, with just two pages of text. This is especially troublesome since it is an entirely novel method of setting prevailing wages that has never been rigorously tested or examined. It will impact literally millions of workers and hundreds of thousands of employers. To our knowledge, Mincer equations have never been used to this large an extent for setting wages in any government program. Second, the data necessary to calculate prevailing wages do not exist; they must be synthesized through estimation procedures after marrying two distinct surveys that were never designed for these purposes. Are the sample sizes sufficient? There’s no exploration of these potential flaws in the NPRM. Third, the method biases against women. The method does not directly measure experience; instead, it estimates experience by the age of the candidate. Women are more likely than men to have gaps in their labor force participation. The agency does not provide a method for adjusting the calculations based on gender. Fourth, this method would surely fuel age discrimination by allowing firms to legally pay younger H-1B workers less than U.S. workers doing the same job. Professor Norman Matloff, one of the leading scholars of the H-1B program, has repeatedly expressed concerns that firms prefer to hire H-1B workers because they are younger, and therefore lower-paid, than equivalent Americans.{{17}} The government would be endorsing such behavior by adopting experience benchmarking.</p>
<p>More broadly, adopting benchmarking to set prevailing wages rests on the assumption that labor markets are highly segregated by age and educational attainment. Is it true that a 28-year-old does not compete with a 35-year-old? Is it true that someone with a master’s degree does not compete with someone with a bachelor’s degree? The DOL provides no evidence to test this hypothesis with a single occupation or example, let alone whether it would hold across the roughly 400 occupations eligible for visa programs covered by this NPRM.</p>
<p>The example provided in the NPRM, of an accountant working in Dayton, Ohio, illustrates the difficulty for anyone to assess the accuracy of the procedure.</p>
<p style="padding-left: 40px;">If ACS data and Mincer wage equation estimated that U.S. accountants with 10 years of experience and a master’s degree typically earn 20 percent more than the median accountant nationwide, the Experienced Benchmarked ratio for that education-experience combination in accounting would be expressed as a wage premia factor of 1.2. Then, to compute the Level I prevailing wage for an employer seeking visa labor certification to employ an alien worker as an accountant in Dayton, Ohio, with 10 years of experience and a master’s degree, the Department would take the OEWS 50th percentile for accountants in the Dayton MSA (currently $78,710) and multiply it by 1.2, yielding an experience-benchmarked Level I prevailing wage of $94,452. The Level II prevailing wage would apply the same 1.2 ratio to the OEWS 62nd percentile; Level III to the 75th percentile; and Level IV to the 90th percentile.{{18}}</p>
<p>This hypothetical example presents several shortcomings.</p>
<p>First, we encounter problems with identifying the data. The NPRM reports the OEWS 50<sup>th</sup> percentile wage in Dayton MSA of $78,710. We are unable to validate this wage using the OFLC Wage Search page.{{19}} The OEWS 50<sup>th</sup> percentile wage (current Level III) for the occupation is shown below, with the results listed for three different years of data available in the database:</p>
<p style="padding-left: 40px;">Occupations: <em>SOC 13-2011.00 – Accountants and Auditors<br />
</em>Location: <em>Dayton OH BLS Areas Montgomery County<br />
</em>Series: <em>All Industries</em></p>
<p style="padding-left: 40px;"><em>7/2023-6/2024 Level III Wage: <strong>$77,251.00<br />
</strong></em><em>7/2024-6/2025 Level III Wage: <strong>$82,576.00<br />
</strong></em><em>7/2025-6/2026 Level III Wage: <strong>$86,403.00</strong></em></p>
<p>Further, based on the absence of data and sparse description of the methodology, there’s no way for us, or anyone else, to test or examine the method used to calculate the wage premia/discount using the Mincer equations. The “hypothetical” example claims a premia of 20%, but it is unclear whether this result comes from real calculation or if it’s a fabrication created to illustrate a point. If it is the latter, that raises serious questions about the agency’s ability to implement experience benchmarking across hundreds of occupations, thousands of locations, four skill levels, and a half-dozen educational levels.</p>
<p>More importantly, is the example, and its wage outcomes, representative of the universe of covered workers and the U.S. workers they compete with? The evidence shows that this hypothetical example is neither typical of H-1B workers nor their U.S. counterparts. The description of experience benchmarking does not investigate its implications, but such testing is fundamental to validating the method across occupations, locations, and skill levels. The hypothetical worker has 10 years of experience, which, if they had no gaps in labor force participation, would put them at 34 years old. A 34-year-old worker is older than most new H-1B workers approved for initial employment, ranking near the 68<sup>th</sup> percentile by age.{{20}} We also know that this worker is not typical of U.S. accountants. Most practicing accountants hold no more than a bachelor’s degree, 59%, and are older—with a median age of 45—than this candidate.{{21}} The example raises many more questions than it answers.</p>
<p>The median age of all H-1B workers approved for initial employment is approximately 31, whereas the median age of an American worker in an H-1B eligible occupation is approximately 40, even in STEM occupations.{{22}} H-1B workers are generally significantly younger than the typical U.S. worker with whom they compete. Experience benchmarking would favor H-1B workers by offering them a significant wage discount, based on the Mincer method, over the U.S. workers with whom they compete. The upshot is that experience benchmarking would surely fuel age discrimination in these labor markets.</p>
<p>It is likely that experience benchmarking would yield substantial wage discounts (premia ratios &lt;1.0) for H-1B workers, compared with the NPRM’s core approach. But we simply do not know because DOL has not compared the wage outcomes between experience benchmarking and raising the wage level percentiles. DOL has not published experience benchmarking wage tables for every occupation, geography, skill level, experience, and education.</p>
<p>One think tank, the Institute for Progress (IFP), a supporter of the experience benchmarking alternative, attempted to simulate the method using FY 2024 approved petitions and found that experience benchmarking wages for most H-1B workers are substantially lower than the NPRM’s core proposal. <strong>Contrary to IFP, we believe experience benchmarking should be rejected, in part for that reason.</strong> See its report, specifically the scatterplot chart “Blind Benchmarking misses underpaid H-1B workers” on page 20, where the number of red dots (i.e., experience benchmarking yields a lower prevailing wage than NPRM core proposal) far outnumbers the green dots (i.e., experience benchmarking yields a higher prevailing wage than NPRM core proposal).{{23}} Even these analysts admit they don’t know whether their calculations are consistent with DOL’s sparse description of experience benchmarking. If this think tank’s analysis is roughly correct or on the right track, then experience benchmarking will yield much lower prevailing wages than the core NPRM proposal. If this is true, then the experience benchmarking method undermines the goals of this rulemaking.</p>
<p>In its justification for considering experience benchmarking, the NPRM states that “the methodology employed under the current rule may allow positions to be classified at wage levels that are less comparable to the actual education and experience of the alien worker.” Experience benchmarking, on the other hand, would “address this limitation by comparing the sponsored alien worker’s wage to the wages earned by U.S. workers with comparable education and experience…”{{24}}</p>
<p>But elsewhere, the NPRM undermines the case for experience benchmarking by noting that educational attainment is often a poor determinant of wages:</p>
<p style="padding-left: 40px;">an examination of the top end of the wage distribution within the H–1B program shows that, for H–1B nonimmigrants with graduate and bachelor’s degrees, the association between education and income level begins to break down to some extent. An analysis of the highest earners within the H–1B program reveals that H–1B workers—particularly those with bachelor’s and graduate degrees—can be among the most skilled and capable in their fields. Interestingly, at this top end of the wage distribution, the typical link between education level and income begins to weaken. <em>Among the most highly compensated H–1B workers, the higher the income level, the more likely the alien worker only has a bachelor’s degree.{{25}} </em>(Emphasis added.)</p>
<p>While skill-level misclassification is a major problem, experience benchmarking is the wrong solution because it creates new, unnecessary loopholes. Instead, as we describe below, we recommend that you require employers document their Prevailing Wage Determination (PWD) aligned with the National Prevailing Wage Center (NPWC) guidance and provide it for inspection.</p>
<p>The NPRM’s core proposal—the 34<sup>th</sup>, 52<sup>nd</sup>, 70<sup>th</sup>, and 88<sup>th</sup> percentiles based on the overall OEWS wages by occupation and region—coupled with skill classification oversight and accountability, better achieves the program goals than the experience benchmarking proposal discussed in the NPRM.</p>
<h3><strong>5. </strong><strong>DOL should calculate an additional amount of compensation based on available data on the cost of benefits for workers in private industry and add a reasonable amount to the required prevailing wage</strong></h3>
<p>While we believe utilizing the OEWS data set and wage percentiles within the distribution is reasonable and preferable to other data sources and methods, the OEWS falls very short in terms of providing a holistic and realistic picture of what U.S. workers earn in H-1B occupations, as well as those in other LCA programs and PERM programs, by virtue of not including fringe benefits. We urge that DOL also calculate an additional amount of compensation based on available data on the cost of benefits for workers in private industry. If employers do not have to provide fringe benefits to the college-educated migrant workers they recruit or reasonable compensation that accounts for those fringe benefits, that will result in employers underpaying or undercompensating workers with visas vis-à-vis their U.S. worker counterparts, thereby causing adverse effects on workers in occupations covered by H-1B and the other LCA programs. The fissuring of the U.S. workforce has been abetted in part by employers practicing benefits’ arbitrage—in other words, employers seeking a workforce they do not need to provide benefits for—the H-1B, H-1B1, E-3, EB-2, and EB-3 program should not facilitate it.</p>
<p>Davis Bacon and Service Contract Act wage determinations—which are both valid wage sources for determining H-1B wage rates under current H-1B rules—include an additional hourly monetary value that is owed to the worker in “fringe benefits.” Under both Acts, the employer must pay the fringe benefits either in the form of a permissible fringe benefit listed by the applicable Act, or any combination of benefits thereof, or with an equivalent cash payment.{{26}} The lack of any fringe benefits in OEWS prevailing wage determinations{{27}} constitutes a severe deficiency in the OEWS wage data that conflicts with and undermines the statutory requirement that the H-1B prevailing wage will not adversely affect the wages and working conditions of similarly employed U.S. workers.&nbsp;</p>
<p>Reliance on the OEWS to determine prevailing wages—without an adjustment for fringe benefits—is not an adequate method to set prevailing wages for LCA and PERM programs. If the prevailing wages and benefits for a particular occupation in a particular Metropolitan Statistical Area (MSA) are, for example, $30 per hour plus $10 per hour in leave, pension, and health benefit costs, but DOL determines the prevailing wage to be simply $30, U.S. workers will be adversely impacted.&nbsp;Employers will be encouraged to hire H-1B workers instead of U.S. workers, saving themselves $10 in benefit costs per hour and putting downward pressure on the locally prevailing compensation.&nbsp;Hiring H-1B workers at $30 an hour for example, with no benefits, would allow employers to underprice labor by 30%—which is the average benefit share of total compensation costs for private industry workers{{28}}—and it could encourage employers to replace U.S. workers with H-1B workers, or hire H-1B workers instead of U.S. workers, since employers are not required to recruit and hire U.S. workers before hiring H-1B workers. H-1B workers and those employed through other LCA programs cannot be expected to complain about this or have the bargaining power to negotiate adequate fringe benefits, because their employers control and have near-total power over their immigration status, and some workers will be also willing to accept the lower compensation, because it will likely be far more than they could earn in their country of origin.</p>
<p>BLS already collects the necessary data to determine the appropriate amount of fringe benefits that should be required as a supplement to the OEWS wages used to set a prevailing wage.&nbsp;The <em>Employer Costs for Employee Compensation</em> (ECEC) report from the Bureau of Labor Statistics (BLS) “provides the average employer cost for wages and salaries as well as benefits per employee hour worked” for workers in the civilian economy.{{29}} The ECEC reports the total average wages and benefits paid by employers and lists these data as they correspond to broad occupational employment categories. These data are also differentiated according to the average amount paid for the major categories of fringe benefits: paid leave, supplemental pay, insurance, retirement and savings and legally required benefits. The ECEC also reports the average total compensation, wages and salaries, and total costs of fringe benefits paid by employers, broken down by geographic region, census division, and locality.{{30}}</p>
<p>Using the aforementioned data sets from the ECEC, DOL can determine the appropriate level of fringe benefits that must be offered and paid to LCA and PERM program workers. The ECEC provides data on health and retirement benefits, and wages and wage-related pay such as paid leave and supplemental pay. The wages reflected in the OEWS survey capture the wages and wage-related parts of total compensation. Employers paying wages will already be paying the ‘legally required’ payroll taxes. Therefore, the compensation missing from the OEWS wage rates is the cost of retirement and health benefits, which are about 11% of private sector compensation. The amount of pay reflecting these benefits that employers of LCA and PERM program workers should pay can easily be determined by taking the ratio of the sum of health and retirement benefits to the wages paid (the sum of wages, paid leave and supplemental pay). This can be determined for a broad occupational grouping and perhaps done at a regional level as well. This ratio when multiplied by the OEWS wage shows the amount of benefits that would be comparable to that earned in the private sector or civilian sector.</p>
<p>Although the occupational groups and geographic areas listed and reported in the ECEC are not as numerous and detailed as those in the OEWS’s occupational categories and geographical areas, this should not deter the DOL from utilizing these data to calculate the percentage of wages that should be added on as fringe benefits to the OEWS wage. Only a percentage to be added on must be determined – not an exact dollar amount.&nbsp;</p>
<p>Thus, the ECEC data are sufficient to provide DOL–by region and broad occupational group–an average level of insurance and retirement benefits received by employees in that job and in that area. Following precedent from the DBA and SCA, the fringe benefits could be paid by the employer through any combination of a variety of options, such as paid leave, health and life insurance, retirement and savings accounts, etc., or the employer could simply pay the benefits in cash.</p>
<p>Unfortunately, there is very little transparency regarding whether employers using the H-1B, H-1B1, E-3, and EB-2 and EB-3 programs are offering fringe benefits, or to what extent. A requirement that these fringe benefits be offered to LCA and PERM program workers would ensure that the wages and working conditions of similarly employed workers are not adversely impacted.&nbsp;</p>
<p>The current DOL compliance guidance on benefits for H-1B workers encourages benefits arbitrage through outsourcing and fissuring. The Wage and Hour Division fact sheet on the subject (#62L) reads, “The employer must offer benefits to H-1B workers on the same basis, and in accordance with the same criteria, as the benefits the employer provides to similarly employed U.S. workers.”{{31}} By defining <em>similarly employed</em> workers as restricted only to those directly employed by the H-1B employer, DOL is encouraging benefits arbitrage by outsourcing firms, which can offer substandard benefits to all its employees and still comply with this interpretation of the H-1B rules.</p>
<h3>6. <strong>DOL should prohibit employer-provided private wage surveys from being used as alternative sources of wage data to set prevailing wages </strong></h3>
<p>Under the main H-1B prevailing wage regulation language at 20 C.F.R. §655.731, an employer has a number of options at their disposal to determine a prevailing wage for an LCA. In other words, the OEWS wage levels are just one of the available options. The employer may use one of the following sources to establish a prevailing wage: the OEWS wage, the wage set in an applicable Collective Bargaining Agreement, an applicable wage set by the Davis-Bacon Act or McNamara-O’Hara Service Contract Act, an Office of Foreign Labor Certification National Processing Center prevailing wage determination, or a wage set by an independent authoritative source or another legitimate source of wage data. However, if the employer is paying a higher wage to similarly situated U.S. workers that it already employs, then it must pay the H-1B worker same higher “actual wage,” that it is paying the U.S. worker. (Specifically defined as “the wage rate paid by the employer to all other individuals with similar experience and qualifications for the specific employment in question.”)</p>
<p>Therefore, employers do not need to use the OFLC’s calculated levels from OEWS data to determine a prevailing wage for an LCA or permanent labor certification application. The NPRM would improve the longstanding problems in how the prevailing wage is determined when using the OFLC-generated OEWS wage rates, but in the NPRM, DOL states that it considered whether to prohibit—but ultimately decided to permit—the continued use of an independent authoritative source or another legitimate source of wage data, which includes private wage surveys provided by employers and accepted by DOL. Standards for such alternative sources of wage data are described in 20 CFR § 655.731. In our 2020 report, we showed in Table 1 that in 2019, at least 9% of all certified wages for H-1B positions on LCAs were set by a private wage survey or other source accepted by the OFLC as legitimate.{{32}}</p>
<p>We strongly urge DOL to eliminate the use of private wage surveys provided by employers for setting wage rates in the LCA programs or for EB-2 and EB-3 green cards. While the share of LCAs approved with wages set by private wages surveys is relatively small at the moment, it is likely that the use, and abuse, of private wage surveys will expand substantially after publication of a final rule that is consistent with the wage level percentiles proposed in the NPRM. This will occur because employers will be motivated to use private surveys as a loophole to avoid paying the new higher wage percentiles.</p>
<p>DOL’s justification for continuing to allow private wage surveys is based on an analysis that is confusing. On the one hand, the agency claims that private surveys yield a wage 20% higher on average than the OEWS equivalent, but also says that wage surveys are necessary for niche or very specialized markets where, “occupations [are] not well represented in OEWS datasets.”{{33}} The two claims are in contradiction. If a private wage survey is used to establish a wage in a niche job market, presumably not covered by the OEWS, then how can DOL feasibly calculate the differences? Footnote 211 in the NPRM does not provide sufficient detail to test this claim.</p>
<p>If DOL does not immediately eliminate the use of private surveys, it should at least ensure that usage of such surveys are rare and approved in only exceptional cases. Employers should be required to provide extensive documentation and justification for why the OEWS is an inadequate data source for determining the prevailing wage.</p>
<p>The recent history of the use of private wage surveys to set wages in the H-2B visa program—a temporary work visa program for lower-wage jobs outside of agriculture including in landscaping, forestry, hospitality, and construction—is instructive and should inform DOL’s review of wage surveys and other sources of wage data for setting H-1B wages. The evidence is clear in the H-2B context that when employers use private wages surveys, they primarily use them to pay lower wages than would otherwise be required.</p>
<p>In 2013 when DOL raised the minimum H-2B prevailing wage from the 17<sup>th</sup> wage percentile to the mean wage for the occupation and local area, H-2B employers immediately and en masse, shifted their business model to use private wage surveys to set H-2B wage rates at below-average wage rates. Evidence revealed in federal litigation clearly suggests that the shift to the use of private wage surveys was a systematic response to higher wage rates, and one that was clearly successful. Specifically, in the nine months beginning soon after the H-2B wage rule was updated—between July 1, 2013, and March 31, 2014—employers increased their submissions of private wage surveys for H-2B prevailing wage determinations by 3,182%, as compared with the 12 months leading up to the federal court decision that invalidated the previous H-2B wage rule. In 21.1% of those prevailing wage determinations set by private wage surveys, the certified H-2B wage was lower than the previous prevailing wage system where the Level I H-2B prevailing wage was set at the 17th percentile wage by occupation and local area, according to OFLC-generated OEWS wage survey data, and 94.4% of the determinations were for a wage that was lower than the Level II wage, at the 34th percentile.{{34}} Despite the fact that the H-2B prevailing wage has been set at the local average wage and DOL restricted the use of private wage surveys in 2015, they are still commonly used and successful at lowering wages for H-2B workers. One clear example of this which has been detailed, is a group of H-2B workers employed as crabpickers in Maryland—they earned roughly 25% less per hour than they should have been paid according to the local corresponding OEWS wage.{{35}}</p>
<p>The downside risk of continuing to allow private wage surveys—creating loopholes and administrative burdens—outweighs the risk to workers that the OEWS prevailing wage results in lower wages. If DOL’s calculations are accurate, employers should welcome the elimination of private wage surveys because the OEWS provides lower wage requirements and reduced costs in terms of purchasing survey data and/or conducting entirely new surveys.</p>
<h3><strong>7. </strong><strong>If DOL considers permitting the use of employer provided private wage surveys, it should first conduct a detailed analysis of their usage and impact on H-1B wage rates, make the findings public, and issue a separate NPRM focused solely on private wage surveys</strong></h3>
<p>In order to promote transparency and comport with the statutory requirement that H-1B employers “will provide working conditions for [H-1B workers] that will not adversely affect the working conditions of workers similarly employed,”{{36}} DOL should immediately prohibit the use of private wages surveys. However if DOL wishes to still consider their usage, DOL should conduct a study to benchmark the use of alternative wage data and especially private wage surveys against the OFLC-generated OEWS prevailing wages, to identify whether there are any systematic biases in such sources. If such biases are found, DOL could propose a new NPRM with additional guidance and safeguards to ensure that the alternative wage sources are not undermining U.S. wage standards. DOL should also conduct an analysis on the occupations that have been approved for wage setting with private wages surveys, to examine which occupations employers are claiming to be so unique that they do not fit within the definitions of over 800 occupations available in BLS’s Standard Occupational Codes, as well as analyze whether private wage surveys have negatively impacted conditions for H-1B workers and similarly situated workers.</p>
<p>It is important to note that, while in the aggregate, the use of private wage surveys is roughly 6.5% according to the NPRM, we know from our own reviews of LCA disclosure data that some firms rely on private wage surveys extensively. DOL should examine how private wage surveys vary across firms, industries, and occupations. Firms that rely on private wage surveys for more than 3% of the positions in their LCAs should be scrutinized and audited to ensure they are not being utilized to undercut the standards set by OEWS wage data.&nbsp;</p>
<h3><strong>8. </strong><strong>DOL must put measures in place that would prevent employer misclassification of H-1B workers at the wrong wage levels</strong></h3>
<p>As noted earlier, the NPRM requires that minimum H-1B, H-1B1, E-3, EB-2, and EB-3 salaries are set at more realistic wage rates that reflect the local market rates for the jobs they fill. While each wage level is intended to correspond to the position description, in practice the employer has substantial discretion choosing the skill level and DOL does not verify that a prevailing wage is appropriate unless a lawsuit or a complaint is filed by a worker. Such complaints are unlikely since it would require a migrant worker to blow the whistle on their own employer, the same employer that controls the worker’s visa status and ability to remain in the United States. We are unaware of any cases in which DOL has investigated an LCA-stage misclassification of an H-1B wage level, but there have been reports of, for example, H-1B employers receiving approval for LCAs that certify they will pay employees at the same prevailing wage level despite having job titles that clearly warrant different wage levels.</p>
<p>Simply put, employer selection of skill levels should be anchored to the actual duties of the position and verified by DOL and USCIS. There is no reason to allow employers to identify a skill level on a whim. If DOL does not fix this obvious problem, then the NPRM’s core objective of eliminating wage arbitrage will be undermined.</p>
<p>Skill level misclassification and inconsistencies undermine good governance of the H-1B program. Even a cursory examination of the LCA and I-129 data shows that such misclassifications, whether purposeful or inadvertent, are common. For example, positions with job titles leading with ‘senior’ are frequently misclassified as Level I. And even within the same employer, identical job titles are classified under different skill levels.</p>
<p>Yet the effectiveness of this NPRM hinges on ensuring that employers properly and consistently classify their positions at the correct skill level. DOL should take two actions. First, it should update and expand the NPWC’s Prevailing Wage Determination Policy Guidance.{{37}} Second, it must hold employers accountable for their skill level selections.</p>
<p>The policy guidance should be rewritten and expanded so that it not only serves PWD adjudicators but also all employers, whether they use the OEWS or a private wage survey to determine the prevailing wage. The document should clarify skill level classification and serve as compliance guidance for all employers. The most recent NPWC policy guidance, published in 2009, is obviously inadequate and outdated. Employers are not effectively or consistently interpreting and identifying skill levels. The description of each skill level, Levels I through IV, consists of a single paragraph of ambiguous language. For example, how many years of experience should Level II consist of? Can an employer’s position that requires two to three years of experience ever be classified as Level I (Entry-Level)? If a worker with a master’s degree is filling a position that typically requires only a bachelor’s degree, can they be bumped up in skill level?</p>
<p>All employers should be required to follow the five-step Prevailing Wage Determination process outlined on pages 9 through 13 to identify the position’s skill level. Employers should be required to document and retain those records for inspection by USCIS when the I-129 petition for the LCA is filed. This will ensure consistent skill level identification within and across companies whether the firm uses the OEWS, private wage survey, a CBA, or requests a PWD.</p>
<p>Then USCIS should ensure that the worker being placed in the position is not overqualified in terms of education and experience for the position&#8217;s skill level.</p>
<p>Consider this example: A well-known firm received approval for two different LCAs at the same wage level (Level II), even though one LCA had the job title&nbsp;<em>Senior Software Engineer</em>&nbsp;and the other had the job title&nbsp;<em>Software Engineer</em>.{{38}} The firm, a major employer of H-1B workers, is not accounting for differences in skill levels as evident from its own job titles when selecting the wage level for the LCA. Both engineers and senior engineers are receiving the exact same salary and wage level, and they are approved by DOL with zero scrutiny. Using the DOL Prevailing Wage Determination Policy Guidance, the LCAs in this case should be instantly flagged by identifying keywords such as&nbsp;senior, head, chief, and lead&nbsp;in job titles, and should be checked to determine whether the prevailing wage levels are appropriate. This example underscores a broader need for DOL to create a more robust compliance system to ensure employers do not misclassify workers at inappropriate wage levels. Our own cursory review has found hundreds of similar examples.</p>
<p>As a result, the LCA and petition process should be updated so that DOL reviews the qualifications of individual workers before USCIS approves a petition, to ensure that wage levels match up with the age, education, and experience of the workers being hired through the LCA and PERM programs. While USCIS currently performs this role to some extent, its adjudicators lack expertise in wage-and-hour issues and do not have the same mandate to protect labor standards as DOL staff. Therefore, these functions should be undertaken by the proper agency. DOL and USCIS already have a mandate to cooperate on H-1B applications and enforcement; a memorandum of understanding between the Secretaries of Homeland Security and Labor could detail a process where DOL plays a prominent role in ensuring that H-1B workers are classified at the appropriate wage levels. Published guidance from DOL on skill levels that is more detailed, clearer, and more realistic would also be helpful for everyone involved—employers and adjudicators alike.</p>
<h3><strong>9. </strong><strong>DOL has failed to enforce the “actual wage” component of the H-1B prevailing wage rule and should begin enforcing it immediately</strong></h3>
<p>Under the prevailing wage statute, although an employer has several options at their disposal to determine a prevailing wage for an LCA, they must offer the higher of either the prevailing wage or the “actual wage,” which the corresponding regulation at 20 C.F.R. §655.731 defines as “the wage rate paid by the employer to all other individuals with similar experience and qualifications for the specific employment in question.”</p>
<p>DOL has not exercised its authority to enforce the actual wage requirement. This is a wasted opportunity for one of the most important tools DOL has at its disposal to hold employers accountable for required wages. In order to ensure that H-1B employers are not undercutting the wage rates they pay H-1B workers, DOL should immediately begin enforcing this requirement.</p>
<p>In late 2021, we published a report detailing how thousands of skilled migrants with H-1B visas working as subcontractors at well-known corporations like Disney, FedEx, Google, and others appear to have been underpaid by one firm to the tune of at least $95 million in one single year.{{39}} The victims likely included not only the H-1B workers but also the U.S. workers who were either displaced or whose wages and working conditions were degraded when employers were allowed to underpay skilled migrant workers with impunity. The workers in question were employed by HCL Technologies, an India-based IT staffing firm that earned $11 billion in revenue in 2020. HCL is consistently one of the top 20 H-1B employers and appears to have engaged in the systematic and strategic wage theft of its H-1B workers by exploiting the lax to nonexistent enforcement of the actual wage requirement. According to its own internal documents, HCL targeted its new H-1B hires expressly based on the spread between what it paid its own U.S. employees versus what it pays its own H-1B workers.</p>
<p>The report discusses our analysis of an internal HCL document, released as part of a whistleblower lawsuit against the firm. The document suggests that HCL—and perhaps other firms with similar business models—are not paying the legally required amount that corresponds to what is being paid to U.S. worker employees at HCL. The HCL document revealed that the large-scale illegal underpayment of H-1B workers that appears to be occurring is a core part of the HCL’s competitive strategy, and likely facilitated $95 million in stolen wages from HCL’s H-1B employees in just one year. Such abuses are surely widespread among H-1B employers because DOL has done virtually nothing to ensure program integrity by enforcing the H-1B wage rules, in particular the actual wage rule.</p>
<p>DOL could easily begin enforcing the actual wage provision by requiring H-1B employers to submit evidence documenting the wage rates paid to U.S. workers who are similarly employed in occupations for which the employer is also hiring H-1B workers. Employers must already “keep records for how they calculate the actual wages.” To our knowledge, DOL has never initiated an investigation regarding compliance with the “actual wage” provision of the law. The DOL Secretary should exercise their authority to inspect the actual wages paid by H-1B employers. The Secretary can do so without a complaint from a worker, under their authority to certify investigations, and should do so if presented with credible evidence of violations. DOL should provide clear compliance guidance for the actual wage provision and then require that H-1B employers attest to the wage rates they pay similarly situated U.S. workers and include them in the LCA documentation, and DOL should conduct audits of employers on a regular basis to ensure compliance. The audits could begin with the employers that hire large numbers of H-1B workers, for example, those that employ more than 25 H-1B workers, as well as H-1B dependent firms.</p>
<p>Secondary employers should also be required to submit LCAs and evidence documenting the wage rates paid to U.S. workers in the occupations that H-1B workers will be hired for through an outsourcing firm. Otherwise, some H-1B outsourcing firms—which almost exclusively pay H-1B workers at the two lowest wage levels, and employ H-1B and L-1 workers almost exclusively—will be able to game the system by using the actual wage paid to their own employees to meet the requirement, and not the employees of the secondary employer, where the H-1B workers will be placed—and where wages paid to the U.S. workforce are likely to be higher.</p>
<h3><strong>10.</strong><strong> DOL should require secondary employers of H-1B workers to attest that they will not adversely affect wages and working conditions</strong></h3>
<p>Outsourcing companies are using the H-1B program to underpay H-1B workers, replace U.S. workers, and send tech jobs abroad. Typically, in this scenario, H-1B workers do computer and engineering work at the office of a U.S. employer but are employed by an outsourcing company, some of which are based abroad or have major operations abroad.{{40}} The many reported cases of U.S. workers being laid off and replaced by H-1B workers have all been facilitated by this arrangement. In multiple incidents, the H-1B workers have been hired with annual wages&nbsp;of around $30,000 to $40,000 less than the workers they have replaced. Before they are laid off, the U.S. workers are often forced to train their own H-1B replacements as a condition of their severance packages; this is euphemistically known as “knowledge transfer.” Major, profitable U.S. employers like Disney and Toys “R” Us—as well as public employers and institutions like the University of California and Southern California Edison—have laid off thousands of U.S. workers who were forced to train their own replacements. Eventually, many of the outsourced jobs filled by H-1B workers get moved offshore.{{41}}</p>
<p>Contrary to the popular narrative proffered by corporations that support expanding and deregulating the H-1B visa program—the staffing firms that use H-1B visas are not using them to keep technology jobs in the United States—instead they are using them precisely to facilitate the offshoring of as many of those jobs as they can. That is in fact, the business model of those firms. News reports, including from the <em>New York Times</em> and <em>Bloomberg</em>, have shown that outsourcing companies “game the system” in order to obtain a high share of H-1B visas, which leaves fewer available for the firms that directly employ H-1B workers.{{42}}</p>
<p>The outsourcing/staffing model of employment generally may increase the incidence of labor and employment law violations by separating the main beneficiary of the labor provided by H-1B workers—the third-party firm that hires the outsourcing firm, i.e. the “lead” employer—from the H-1B workers who perform the work. Firms that rely on outsourced H-1B workers are a textbook example of what former DOL Wage and Hour administrator David Weil calls a “fissured” workplace, where the relationship between the worker and the lead employer is fissured, or broken, via the use of a temp agency or subcontractor{{43}} (in this case the temp agency or subcontractors are the H-1B outsourcing firms). Research shows that fissuring leads to a wage penalty for workers who are subcontracted, employed as temps, and work for staffing firms,{{44}} in part because the subcontractor keeps a percentage of the wages earned by the workers. It is also common knowledge that employers use this model to avoid paying for benefits like health care, retirement funds, and to avoid liability for labor violations. Because the staffing and outsourcing model contributes to the fissuring of the labor market, it should not be allowed as part of the U.S. immigration system—not in H-1B or in any other temporary or permanent immigration programs.</p>
<p>One way to address the abuses of the outsourcing/staffing firms, which operate as secondary employers, would be to issue policy guidance and update the appropriate DOL ETA application forms so that secondary employers to which H-1B workers are outsourced will be required to file Labor Condition Applications with DOL. Such&nbsp;guidance, which was considered in 2021 but then abandoned,{{45}} would close the loophole that allows firms like Disney and Southern California Edison to&nbsp;replace&nbsp;its U.S. employees with H-1B workers by employing them through an outsourcing firm.{{46}} Using Disney as an example, implementing this rule would require client firms like Disney—that benefit and profit from hiring outsourcers—to acknowledge their employment relationship with H-1B workers who are employed by outsourcers like Infosys and Tata, by requiring Disney to file its own LCA. By doing so, Disney would attest that hiring the H-1B worker through the outsourcer is not adversely affecting the wages and working conditions of the Disney workforce.</p>
<h3><strong>11.</strong><strong> DOL should publish Labor Condition Application and permanent labor certification data in real-time on a central database</strong></h3>
<p>DOL publishes detailed LCA and permanent labor certification (PERM) disclosure data, but it is typically lagged by at least one quarter, and often much longer. The agency should publish LCA and PERM public access file applications in real-time to enable U.S. workers to apply for these positions. This would enhance the integrity of the programs and better align them to their purposes by ensuring that workers hired with temporary visas and green cards are filling true labor shortages.</p>
<p>U.S. workers have long complained loudly that employers hide job openings from them, reserving them for visa holders and PERM applicants. Even when those jobs are advertised, as is required by the PERM labor certification process, they are often placed in obscure locations. Workers call such job advertisements “fake job postings.” A recent ProPublica investigation has referred to the practice as “The Tech Recruitment Ruse.”{{47}}</p>
<p>The agency already collects the data and publishes it regularly on the OFLC disclosure data. But even a one-quarter year lag time renders it useless for job seekers. Publishing it in real-time would unlock enormous value for workers at little or no cost to the government or employers.</p>
<h3><strong>12.</strong><strong> DOL had the requisite legal authority to update the H-1B prevailing wage levels</strong></h3>
<p>As discussed in detail in our 2020 report, DOL has the requisite legal authority to change the H-1B prevailing wage levels to an appropriate rate that protects wage standards and prevents adverse effects on U.S. workers in H-1B occupations. No analyst or commentator has credibly argued otherwise. For far too long, the H-1B wage levels have been set at an artificially low level that undercuts U.S. wage standards, therefore, it is reasonable for DOL to increase the minimum wage levels so that Level I is no lower than the local median wage.</p>
<h3><strong>13.</strong><strong> DOL should expand the LCA process to include a front-end screening process that reviews the labor and employment law records of employers; those that have violated certain laws in the previous five years should be prohibited from hiring through the H-1B program</strong></h3>
<p>In a previous comment to the Department of Homeland Security (DHS), regarding the 2023 H-1B “modernization” rule,{{48}} we recommended that DHS should expand the H-1B Registration System to include a front-end screening process that reviews the labor and employment law records of employers. If employers have violated certain laws, they should be prohibited from hiring through the H-1B program. We further recommended that DHS should consult with DOL to develop a list of key applicable laws and operate the system jointly with DOL, and ideally, also operate the updated registration process jointly, with DOL screening employer records through the LCA process. We reiterate that recommendation here and urge DOL to take steps to exclude lawbreaking employers that violate labor, employment, and immigration laws. <em>While we realize our comment will only be read by DOL, we nevertheless include our discussion about DHS’s role in this process because we believe DOL and DHS should work in tandem to reduce labor and employment violations in the H-1B program.</em></p>
<p>In the 2023 proposed rule, <em>Modernizing H-2 Program Requirements, Oversight, and Worker Protections,{{49}}</em> DHS proposed to create or expand several additional bars to approval of new petitions filed by H-2 petitioners who have previously committed legal violations related to the H-2 programs. EPI submitted comments generally supporting the proposed changes, which were adopted as a final rule.{{50}} Although they fail to go far enough on their own, if adequately implemented the provisions will help curb abusive employers’ exploitation of the H-2 programs and will level the playing field for employers that obey the law. EPI additionally commented that employers that commit serious violations repeatedly should be permanently banned from the H-2 programs, as they have demonstrated their inability or unwillingness to comply with the programs’ requirements.</p>
<p>In those comments EPI further recommended that the DHS strengthen section 214.2(h)(10)(iii)(3), which addresses violations of “any applicable employment-related laws and regulations” by expanding it to include a number of other violations and making denial of petitions mandatory—rather than discretionary—if employers have violated any of those laws in the preceding five years.{{51}}&nbsp;</p>
<p>We believe DHS should consider similar provisions for employers seeking to hire through the H-1B program because there have been numerous credible accusations of lawbreaking against H-1B employers, as well as investigations and litigation, finding that H-1B employers and recruiters that have been guilty of wage theft, financial bondage, and even human trafficking. The reality is that DOL has limited resources and has interpreted its authority to investigate H-1B employers as constrained, and it is difficult in practice for H-1B workers to come forward and complain themselves about employer lawbreaking—because they could face retaliation and lose their status, and possibly the opportunity to become lawful permanent residents—which means DOL likely receives fewer complaints than they otherwise would. And even when DOL does receive complaints, as numerous reports have shown, DOL often lacks the resources to investigate and take action against lawbreaking employers.{{52}}</p>
<p>Thus, at a minimum, to keep lawbreaking employers out of the H-1B program, DHS should have its own list of legal violations and deny any petition for an employer that has violated any of the laws on the list in the preceding five years. That would act as a backstop to prevent lawbreaking employers from hiring through the H-1B program. At present, as DHS rightly points out in the November 2023 Modernizing H-2 Program NPRM, even some of the worst violators of the law are allowed to recruit and hire H-2 workers. We know that this is also the case in the H-1B program. In fact, in the H-1B program, some of the biggest users of the program are also the most egregious violators, receiving thousands of H-1B petition approvals per year. And then after they violate the law, H-1B employees are afraid to complain to authorities because their immigration status is tied to their employer, and even if they are brave enough to lodge a complaint, as noted above, DOL may lack the resources to investigate violations and hold the employer accountable.</p>
<p>As EPI also recommended in the H-2 NPRM, DHS should go further to implement this by also cooperating with DOL to develop a front-end screening process that takes place at the labor condition application (LCA) stage, to vet the labor and employment law records of employers before they can be allowed to hire through the H-1B program. In multiple EPI reports and in comments in response to NPRMs, EPI has made a similar proposal—namely, that a front-end screening process should be created to prohibit employers with track records of wage and hour, labor, immigration, and other legal violations from hiring through the H visa programs.</p>
<p>To make a front-end screening process a reality, ideally, DOL should require employers to register for eligibility to use the H-1B program at the LCA stage, so employer records on compliance with labor and employment laws can be screened up front, before getting to the registration or petition stage. DOL could set up a registration process in which employers list basic information about their business and the purported need for H-1B workers (as is already done via the DOL temporary labor certification forms). As part of that new process, employers could be required to attest, under penalty of perjury and of being banned from hiring through the H-1B and other visa programs, that they have not been found to have violated any of the listed labor, employment, wage and hour, immigration, civil rights, disability, anti-trafficking, or anti-discrimination laws during the past five years. DOL could then attempt to verify by cross-referencing enforcement data and other relevant records—and could cooperate with other worker protection agencies like the NLRB and EEOC—and ultimately certify employers that have not violated the applicable laws.</p>
<p>To break established patterns of abuse, employers that have violated any labor, employment, wage and hour, immigration, civil rights, disability, anti-trafficking or anti-discrimination laws should be prohibited from submitting an LCA (or having their LCA approved) and ultimately not be allowed to hire H-1B workers. Employers that have clean records and an LCA approved by DOL could then continue on with the petition process at USCIS.</p>
<p>Given the present and likely future reality that WHD and other worker protection agencies will continue to be vastly underfunded and understaffed,{{53}}&nbsp;such a screening process on the front end of the H-1B application process could act as a useful and efficient tool to prevent legal violations without WHD having to go through lengthy and costly investigations on the back end, after workers have arrived in the United States and been robbed or otherwise exploited.</p>
<p>At the petition level, if a new screening process at DOL is not created that takes place before or as part of the LCA process, DHS should, at a minimum and as noted above, build on proposed section 8 C.F.R. 214.2(h)(10)(iii)(B) for H-2 petitions by creating a list of key labor, employment, wage and hour, immigration, civil rights, disability, anti-trafficking, and anti-discrimination laws, the violation of which would establish strong evidence that an employer does not treat their employees well and is unlikely to follow employment and immigration laws with respect to their H-1B employees. Although this would work best in tandem with a front-end screening process at the LCA stage, DHS could make significant progress in keeping lawbreaking employers out of the H-1B programs by mandating that any employer that has violated any of the listed laws will be prohibited from having a petition approved for hiring H-1B workers.</p>
<p>Another option would be for DHS to modify the existing H-1B Registration System so that it also screens the records of employers. That way DHS could use it to both manage the annual cap and to assess and certify whether employers are eligible to hire through H-1B based on their past legal violations. Employers could be required to attest, under penalty of perjury and of being banned from hiring through the H-1B and other visa programs, that they have not been found to have violated any of the listed labor, employment, wage and hour, immigration, civil rights, disability, anti-trafficking, or anti-discrimination laws during the past five years. USCIS could work to verify the employer attestation, although ideally DOL should partner with to do this, by cross-referencing DOL enforcement data and other relevant records—preferably also in partnership with other worker protection agencies like the NLRB and EEOC—and would then ultimately certify employers that have not violated the applicable laws, allowing them to continue with the registration process.</p>
<h2><strong>Conclusion</strong></h2>
<p>The H-1B visa program is the largest temporary work visa program in the United States and an important pathway into the U.S. labor market for skilled migrants from around the world—but a pathway that has serious deficiencies when it comes to the workplace rights of migrant workers and for preserving U.S. labor standards. While less is known about the other LCA programs, H-1B1 and E-3, they have even fewer applicable rules in place to protect workers, which likely means they are having similar impacts on worker rights and labor standards. By issuing this NPRM, DOL has taken an important first step towards reversing decades of artificially depressed wage rates for H-1B workers, and for making the prevailing wage methodology rules consistent across the other LCA programs and for EB-2 and EB-3 green cards. This will benefit other similarly situated workers and simplify and streamline the prevailing wage determination process. Nevertheless, as our comment recommends, more must be done—in this rulemaking and other executive actions—to improve the effectiveness of the updated prevailing wage rates and on enforcement in the LCA and PERM programs, in order to safeguard U.S. wages and labor standards.</p>
<p>Daniel Costa<br />
Director of Immigration Law and Policy Research<br />
Economic Policy Institute<br />
Washington, DC</p>
<p>Ron Hira, Ph.D., P.E.<br />
Associate Professor<br />
Department of Political Science<br />
Howard University</p>
<h3>Endnotes</h3>
<p>{{1.}} See for example, Daniel Costa and Ron Hira, <a href="https://www.epi.org/publication/h-1b-visas-and-prevailing-wage-levels/"><em>H-1B visas and prevailing wage levels: A majority of H-1B employers—including major U.S. tech firms—use the program to pay migrant workers well below market wages</em></a>, Economic Policy Institute, May 4, 2020; Ron Hira and Daniel Costa, <a href="https://www.epi.org/publication/new-evidence-widespread-wage-theft-in-the-h-1b-program/"><em>New evidence of widespread wage theft in the H-1B visa program: Corporate document reveals how tech firms ignore the law and systematically rob migrant workers</em></a>, Economic Policy Institute, December 9, 2021.</p>
<p>{{2.}} Employment and Training Administration, <a href="https://www.federalregister.gov/documents/2025/10/02/2025-19365/adverse-effect-wage-rate-methodology-for-the-temporary-employment-of-h-2a-nonimmigrants-in-non-range"><em>Adverse Effect Wage Rate Methodology for the Temporary Employment of H-2A Nonimmigrants in Non-Range Occupations in the United States</em></a>, Interim Final Rule, request for comments, U.S. Department of Labor, 20 CFR Part 655, DOL Docket No. ETA-2025-0008, RIN 1205-AC24 (October 2, 2025).</p>
<p>{{3.}} Daniel Costa and Ben Zipperer, “<a href="https://www.epi.org/blog/trumps-new-h-2a-wage-rule-will-radically-cut-the-wages-of-all-farmworkers-new-estimates-show-farmworkers-stand-to-lose-4-4-to-5-4-billion-annually-under-dols-updated-adverse-effec/">Trump’s new H-2A wage rule will radically cut the wages of all farmworkers: New estimates show farmworkers stand to lose $4.4 to $5.4 billion annually under DOL’s updated Adverse Effect Wage Rate</a>,” <em>Working Economics </em>blog (Economic Policy Institute) November 26, 2025; for additional discussion and background, see Daniel Costa, “<a href="https://www.epi.org/publication/epi-comment-on-dols-2025-interim-final-rule-modifying-the-aewr-methodology-for-h-2a-farmworkers/">EPI comment on DOL’s 2025 Interim Final Rule modifying the AEWR methodology for H-2A farmworkers</a>,” Public Comments, Economic Policy Institute, December 1, 2025.</p>
<p>{{4.}} PERM stands for Program Electronic Management Review, and is the first step for employers who wish to sponsor an employee for permanent residence in the United States through the EB-2 and EB-3 categories.</p>
<p>{{5.}} See for example, Daniel Costa and Ron Hira, <a href="https://www.epi.org/publication/h-1b-visas-and-prevailing-wage-levels/"><em>H-1B visas and prevailing wage levels: A majority of H-1B employers—including major U.S. tech firms—use the program to pay migrant workers well below market wages</em></a>, Economic Policy Institute, May 4, 2020.</p>
<p>{{6.}} George Borjas, <a href="https://www.nber.org/system/files/working_papers/w34793/w34793.pdf"><em>The H-1B Wage Gap, Visa Fees, and Employer Demand</em></a>, NBER working paper 34793, March 2026. See pages 3-4.</p>
<p>{{7.}} USCIS, X.com post, May 21, 2026 at 1:37 PM, <a href="https://x.com/USCIS/status/2057561453373399339">https://x.com/USCIS/status/2057561453373399339</a></p>
<p>{{8.}} <a href="https://www.newyorkfed.org/research/college-labor-market#--:explore:outcomes-by-major">https://www.newyorkfed.org/research/college-labor-market#&#8211;:explore:outcomes-by-major</a></p>
<p>{{9.}} Here are just a sample of some of the recent news accounts in major media outlets: Katherine Bindley, “<a href="https://www.wsj.com/lifestyle/careers/tech-jobs-hiring-artifical-intelligence-35cd66b0?mod=Searchresults_pos15&amp;page=1">The ‘Great Hesitation’ That’s Making It Harder to Get a Tech Job</a>,” <em>Wall Street Journal</em>, May 18, 2025; Christopher Rugaber, “<a href="https://apnews.com/article/college-graduates-job-market-unemployment-c5e881d0a5c069de08085a47fa58f90f?utm_source=copy&amp;utm_medium=share">Unemployment among young college graduates outpaces overall US joblessness rate</a>,” <em>Associated Press</em>, June 26, 2025; Sydney Ember, “<a href="https://www.nytimes.com/2026/03/24/business/economy/college-graduates-job-market-hiring.html">Young Graduates Face the Grimmest Job Market in Years</a>,” <em>NY Times</em>, March 24, 2026.</p>
<p>{{10.}} Daniel Costa and Ron Hira, <a href="https://www.epi.org/publication/h-1b-visas-and-prevailing-wage-levels/"><em>H-1B visas and prevailing wage levels: A majority of H-1B employers—including major U.S. tech firms—use the program to pay migrant workers well below market wages</em></a>, Economic Policy Institute, May 4, 2020.</p>
<p>{{11.}} See for example, Connor O&#8217;Brien, Jeremy Neufeld, and Amy Nice, <a href="https://ifp.org/prevailing-wage-benchmarking/"><em>A Prescription for Fixing the Prevailing Wage System: Replacing Blind Benchmarking with Experience Benchmarking</em></a>, Institute for Progress, March 27, 2026.</p>
<p>{{12.}} See Overview section in Wage and Hour Division, “<a href="https://www.dol.gov/agencies/whd/immigration/h1b">H-1B Program</a>,” web page on the U.S. Department of Labor website.</p>
<p>{{13.}} U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, <a href="https://www.federalregister.gov/documents/2021/01/08/2021-00183/modification-of-registration-requirement-for-petitioners-seeking-to-file-cap-subject-h-1b-petitions"><em>Modification of Registration Requirement for Petitioners Seeking To File Cap-Subject H-1B Petitions</em></a>, 86 Fed. Reg. 1676, at 1720, Table 7, June 8, 2021.</p>
<p>{{14.}} See Table 12 in Department of Homeland Security, <a href="https://www.federalregister.gov/documents/2025/09/24/2025-18473/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b"><em>Weighted Selection Process for Registrants and Petitioners Seeking To File Cap-Subject H–1B</em></a><em> Petitions</em>, Notice of proposed rulemaking, CIS Docket No. 2820-25, DHS Docket No. USCIS-2025-0040, RIN: 1615-AD01 (September 24, 2026).</p>
<p>{{15.}} See for example, Daniel Costa and Ron Hira,&nbsp;<a href="https://www.epi.org/publication/h-1b-visas-and-prevailing-wage-levels/"><em>H-1B Visas and Prevailing Wage Levels: A Majority of H-1B Employers—Including Major U.S. Tech Firms—Use the Program to Pay Migrant Workers Well Below Market Wages</em></a>, Economic Policy Institute, May 4, 2020.</p>
<p>{{16.}} NPRM at 15490.</p>
<p>{{17.}} Norman Matloff, “<a href="https://www.compactmag.com/article/h-1b-visas-are-transforming-america/">H-1B Visas Are Transforming America</a>,” <em>Compact</em>, October 8, 2025; Norman Matloff, <a href="https://www.epi.org/publication/bp356-foreign-students-best-brightest-immigration-policy/"><em>Are foreign students the ‘best and brightest’? Data and implications for immigration policy</em></a>, Economic Policy Institute, Briefing Paper #356, February 28, 2013.</p>
<p>{{18.}} NPRM at 15490.</p>
<p>{{19.}} Office of Foreign Labor Certification, <a href="https://flag.dol.gov/wage-data/wage-search">OFLC Wage Search</a>, last visited on May 23, 2026.</p>
<p>{{20.}} United States Citizenship and Immigration Services, <a href="https://www.uscis.gov/sites/default/files/document/reports/ola_signed_h1b_characteristics_congressional_report_FY24.pdf"><em>Characteristics of H-1B Specialty Occupation Workers</em></a>, Fiscal Year 2024 Annual Report to Congress, October 1, 2023 – September 30, 2024, U.S. Department of Homeland Security, April 29, 2025.</p>
<p>{{21.}} U.S. Bureau of Labor Statistics, <a href="https://www.bls.gov/emp/tables/educational-attainment.htm">Table 5.3 Educational attainment for workers 25 years and older by detailed occupation, 2022–23 (Percent)</a>, Employment Projections, U.S. Department of Labor, retrieved May 23, 2026; U.S. Bureau of Labor Statistics, <a href="https://www.bls.gov/cps/cpsaat11b.htm">Table 11b. Employed people by detailed occupation and age</a>, Labor Force Statistics from the Current Population Survey, U.S. Department of Labor, retrieved May 23, 2026.</p>
<p>{{22.}} U.S. Bureau of Labor Statistics, <a href="https://www.bls.gov/cps/cpsaat11b.htm">Table 11b. Employed people by detailed occupation and age</a>, Labor Force Statistics from the Current Population Survey, U.S. Department of Labor, retrieved May 23, 2026.</p>
<p>{{23.}} Connor O&#8217;Brien, Jeremy Neufeld, and Amy Nice, <a href="https://ifp.org/prevailing-wage-benchmarking/"><em>A Prescription for Fixing the Prevailing Wage System: Replacing Blind Benchmarking with Experience Benchmarking</em></a>, Institute for Progress, March 27, 2026. PDF available here: <a href="https://ifp.org/wp-content/uploads/IFP_Prevailing_Wage_Experience_Benchmarking_.pdf">https://ifp.org/wp-content/uploads/IFP_Prevailing_Wage_Experience_Benchmarking_.pdf</a></p>
<p>{{24.}} NPRM at 15490.</p>
<p>{{25.}} NPRM at 15474.</p>
<p>{{26.}} For the Davis-Bacon Act, see 40 USC §3141(2); and the Service Contract Act at 41 USC §351(a)(2).</p>
<p>{{27.}} Bureau of Labor Statistics, U.S. Department of Labor, <a href="https://www.bls.gov/oes/oes_ques.htm"><em>Occupational Employment Wage Statistics, Frequently Asked Questions</em></a>, at Section C, Number 8.</p>
<p>{{28.}} Bureau of Labor Statistics, U.S. Department of Labor, <a href="https://www.bls.gov/news.release/pdf/ecec.pdf"><em>Employer Costs for Employee Compensation – December 2025</em></a>, March 20, 2026.</p>
<p>{{29.}} Bureau of Labor Statistics, U.S. Department of Labor, <a href="https://www.bls.gov/news.release/pdf/ecec.pdf"><em>Employer Costs for Employee Compensation – December 2025</em></a>, March 20, 2026.</p>
<p>{{30.}} See tables, Bureau of Labor Statistics, U.S. Department of Labor, <a href="https://www.bls.gov/news.release/pdf/ecec.pdf"><em>Employer Costs for Employee Compensation – December 2025</em></a>, March 20, 2026.</p>
<p>{{31.}} Wage and Hour Division, “<a href="https://www.dol.gov/agencies/whd/fact-sheets/62l-h1b-benefits">Fact Sheet #62L: What benefits must be offered to H-1B workers</a>,” U.S. Department of Labor, Revised July 2008.</p>
<p>{{32.}} Daniel Costa and Ron Hira, <a href="https://www.epi.org/publication/h-1b-visas-and-prevailing-wage-levels/"><em>H-1B visas and prevailing wage levels: A majority of H-1B employers—including major U.S. tech firms—use the program to pay migrant workers well below market wages</em></a>, Economic Policy Institute, May 4, 2020.</p>
<p>{{33.}} NPRM at 15479.</p>
<p>{{34.}} See discussion of the 2013 Interim Final Rule setting the H-2B prevailing wage methodology in Daniel Costa, <a href="https://www.epi.org/publication/h2b-temporary-foreign-worker-program-for-labor-shortages-or-cheap-temporary-labor/"><em>The H-2B temporary foreign worker program: For labor shortages or cheap, temporary labor?</em></a> Economic Policy Institute, January 19, 2016.</p>
<p>{{35.}} Daniel Costa, “<a href="https://www.epi.org/blog/h-2b-crabpickers-maryland-seafood-industry-paid-less-than-average/">H-2B crabpickers are so important to the Maryland seafood industry that they get paid $3 less per hour than the state or local average wage</a>,” <em>Working Economics </em>(Economic Policy Institute blog), May 26, 2017.</p>
<p>{{36.}} <a href="https://www.govinfo.gov/content/pkg/USCODE-2016-title8/html/USCODE-2016-title8-chap12-subchapII-partII-sec1182.htm">8 U.S.C. 1182 (n)(1)(A)(i)(II)</a>.</p>
<p>{{37.}} Employment and Training Administration, <a href="https://www.dol.gov/sites/dolgov/files/ETA/oflc/pdfs/NPWHC_Guidance_Revised_11_2009.pdf"><em>Prevailing Wage Determination Policy Guidance, Nonagricultural Immigration Programs</em></a>, U.S. Department of Labor, Revised November 2009.</p>
<p>{{38.}} Ethan Baron, “<a href="https://www.mercurynews.com/2019/10/17/h-1b-uber-snatches-up-more-foreign-worker-visas-as-it-lays-off-hundreds-of-employees/">H-1B: Uber snatches up more foreign-worker visas as it lays off hundreds of employees</a>,” <em>Mercury News</em>, October 17, 2019.</p>
<p>{{39.}} Ron Hira and Daniel Costa, <a href="https://www.epi.org/publication/new-evidence-widespread-wage-theft-in-the-h-1b-program/"><em>New evidence of widespread wage theft in the H-1B visa program: Corporate document reveals how tech firms ignore the law and systematically rob migrant workers</em></a>, Economic Policy Institute, December 9, 2021. See also, news coverage of our report, for example, Lauren Kaori Gurley, “<a href="https://www.vice.com/en/article/jgmpvb/analysis-claims-migrant-tech-workers-have-been-underpaid-by-tens-of-millions">Analysis Claims Migrant Tech Workers Have Been Underpaid by Tens of Millions</a>,” Vice News, December 9, 2021.</p>
<p>{{40.}} See for example, Senator Richard Durbin, “<a href="https://www.youtube.com/watch?v=Z2dR4Z6dRIo">How American Jobs are Outsourced</a>,” YouTube.com video, April 16, 2016.</p>
<p>{{41.}} See for example, Stef Kight, “<a href="https://www.axios.com/trump-att-outsourcing-h1b-visa-foreign-workers-1f26cd20-664a-4b5f-a2e3-361c8d2af502.html">U.S. companies are forcing workers to train their own foreign replacements</a>,” <em>Axios</em>, December 29, 2019; Julia Preston, “<a href="https://nyti.ms/2kkTUZu">Pink Slips at Disney. But First, Training Foreign Replacements</a>,”&nbsp;<em>New York Times</em>, June 3, 2015; Julia Preston, “<a href="https://nyti.ms/2jINcfX">Toys ‘R’ Us Brings Temporary Foreign Workers to U.S. to Move Jobs Overseas</a>,”&nbsp;<em>New York Times</em>, September 29, 2015;&nbsp;Michael Hiltzik, “<a href="http://www.latimes.com/business/hiltzik/la-fi-hiltzik-uc-visas-20170108-story.html">How the University of California Exploited a Visa Loophole to Move Tech Jobs to India</a>,”&nbsp;<em>Los Angeles Times</em>, January 6, 2017;&nbsp;Patrick Thibodeau, “<a href="https://www.computerworld.com/article/2879083/it-outsourcing/southern-california-edison-it-workers-beyond-furious-over-h-1b-replacements.html">Southern California Edison IT Workers ‘Beyond Furious’ over H-1B Replacements</a>,”&nbsp;<em>Computerworld</em>, February 5, 2015.</p>
<p>{{42.}} Eric Fan, Zachary Mider, Denise Lu, and Marie Patino, “<a href="https://www.bloomberg.com/graphics/2024-staffing-firms-game-h1b-visa-lottery-system/?terminal=1">How thousands of middlemen are gaming the H-1B program</a>,” <em>Bloomberg</em>, July 31, 2024; Julia Preston, “<a href="https://www.nytimes.com/2015/11/11/us/large-companies-game-h-1b-visa-program-leaving-smaller-ones-in-the-cold.html">Large Companies Game H-1B Visa Program, Costing the U.S. Jobs</a>,” <em>New York Times</em>, November 10, 2015.</p>
<p>{{43.}} David Weil, <a href="https://www.hup.harvard.edu/catalog.php?isbn=9780674975446&amp;content=reviews"><em>The Fissured Workplace: How Work Became So Bad for So Many and What Can Be Done to Improve It</em></a>, Harvard, 2014.</p>
<p>{{44.}} A number of studies show a wage penalty for subcontracted/outsourced workers. For example, see Arindrajit Dube and Ethan Kaplan, “<a href="https://doi.org/10.1177/001979391006300206">Does Outsourcing Reduce Wages in the Low-Wage Service Occupations? Evidence from Janitors and Guards</a>,” Cornell University ILR Review. January 1, 2010); Deborah Goldschmidt and Johannes Schmieder, “<a href="https://ideas.repec.org/a/oup/qjecon/v132y2017i3p1165-1217..html">The Rise of Domestic Outsourcing and the Evolution of the German Wage Structure</a>,” The Quarterly Journal of Economics, Oxford University Press, vol. 132(3), 2017, pages 1165-1217; Andres Drenik, Simon Jäger, Pascuel Plotkin, and Benjamin Schoefer “<a href="https://eml.berkeley.edu/~schoefer/schoefer_files/Temp_Argentina_Sept_2020.pdf">Paying Outsourced Labor: Direct Evidence from Linked Temp Agency-Worker-Client Data</a>,” Econometrics Laboratory, University of California, Berkeley, September 2020.</p>
<p>{{45.}} Employment and Training Administration, U.S. Department of Labor, “<a href="https://www.dol.gov/newsroom/releases/eta/eta20210115-2">U.S. Department of Labor revises interpretation, issues new guidance clarifying filing, compliance requirements in H-1B visa program</a>,” Press Release Number 21-97-NAT, January 15, 2021.</p>
<p>{{46.}} Julia Preston, “<a href="https://www.nytimes.com/2015/06/04/us/last-task-after-layoff-at-disney-train-foreign-replacements.html">Pink Slips at Disney. But First, Training Foreign Replacements</a>,”&nbsp;<em>New York Times</em>, June 3, 2015.</p>
<p>{{47.}} Alec MacGillis, “<a href="https://www.propublica.org/article/trump-immigration-h1b-visas-perm-tech-jobs-recruitment">The Tech Recruitment Ruse That Has Avoided Trump’s Crackdown on Immigration</a>,” ProPublica, June 3, 2025.</p>
<p>{{48.}} Daniel Costa and Ron Hira, “<a href="https://www.epi.org/publication/epi-comments-on-dhss-proposed-rule-on-modernizing-h-1b-requirements-providing-flexibility-in-the-f-1-program-and-program-improvements-affecting-other-nonimmigrant-workers/#epi-toc-18">EPI comments on DHS’s “Modernizing H-1B” proposed rule</a>,” Public Comments, Economic Policy Institute, December 22, 2023; commenting on U.S. Department of Homeland Security, <a href="https://www.federalregister.gov/documents/2023/10/23/2023-23381/modernizing-h-1b-requirements-providing-flexibility-in-the-f-1-program-and-program-improvements"><em>Modernizing H-1B Requirements, Providing Flexibility in the F-1 Program, and Program Improvements Affecting Other Nonimmigrant Workers</em></a>, Notice of proposed rulemaking, CIS No. 2745-23, DHS Docket No. USCIS-2023-0005, RIN: 1615-AC70, 88 Fed. Reg. 72870 (October 23, 2023).</p>
<p>{{49.}} U.S. Department of Homeland Security, <a href="https://www.federalregister.gov/documents/2023/09/20/2023-20123/modernizing-h-2-program-requirements-oversight-and-worker-protections"><em>Modernizing H-2 Program Requirements, Oversight, and Worker Protections</em></a>, Notice of Proposed Rulemaking, CIS No. 2740-23 and DHS Docket No. USCIS-2023-0012, RIN: 1615-AC76, 88 Fed. Reg. 65040 (September 20, 2023).</p>
<p>{{50.}} U.S. Department of Homeland Security, <a href="https://www.federalregister.gov/documents/2024/12/18/2024-29353/modernizing-h-2-program-requirements-oversight-and-worker-protections"><em>Modernizing H-2 Program Requirements, Oversight, and Worker Protections</em></a>, Final Rule, CIS No. 2740-23; DHS Docket No. USCIS-2023-0012, RIN 1615-AC76, 89 Fed Reg. 103202 (December 18, 2024).</p>
<p>{{51.}} See EPI comment on the H-2 programs in the comment submitted to DHS in November 2023; Daniel Costa, <a href="https://www.epi.org/publication/epi-comments-on-dhs-proposed-rule-on-modernizing-h-2-program-requirements-oversight-and-worker-protections/"><em>EPI comments on DHS’s proposed rule on “Modernizing H-2 Program Requirements, Oversight, and Worker Protections,”</em></a> Economic Policy Institute, November 20, 2023.</p>
<p>{{52.}} See for example, Rebecca Rainey, “<a href="https://news.bloomberglaw.com/daily-labor-report/inadequate-labor-department-resources-stymie-enforcement-efforts">Inadequate Labor Department Resources Stymie Enforcement Efforts</a>,”&nbsp;<em>Bloomberg Law</em>, November 7, 2023.</p>
<p>{{53.}} See for example, AFL-CIO, <a href="https://aflcio.org/reports/workers-rights-iced-out"><em>Workers’ Rights Ice’d Out</em></a>, February 25, 2026; Rebecca Rainey, “<a href="https://news.bloomberglaw.com/employment/trumps-federal-workforce-cuts-hit-labor-department-enforcement">Trump’s Federal Workforce Cuts Hit Labor Department Enforcement</a>,” Bloomberg Law, Feb. 24, 2025; Daniel Costa, Josh Bivens, Ben Zipperer, and Monique Morrissey, <a href="https://www.epi.org/publication/u-s-benefits-from-immigration/#epi-toc-20"><em>The U.S. benefits from immigration but policy reforms needed to maximize gains: Recommendations and a review of key issues to ensure fair wages and labor standards for all workers</em></a>, October 4, 2024 (see Figure J); Daniel Costa and Philip Martin, <a href="https://www.epi.org/publication/record-low-farm-investigations/"><em>Record-low number of federal wage and hour investigations of farms in 2022: Congress must increase funding for labor standards enforcement to protect farmworkers</em></a>, Economic Policy Institute, August 22, 2023; Ihna Mangundayao, Celine McNicholas, and Margaret Poydock, “<a href="https://www.epi.org/blog/worker-protection-agencies-need-more-funding-to-enforce-labor-laws-and-protect-workers/">Worker protection agencies need more funding to enforce labor laws and protect workers</a>,” <em>Working Economics</em> blog (Economic Policy Institute), July 29, 2021.</p>
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