Success of Indian immigrants becomes a source of suspicion and political targeting

A welfare chart reignites immigration resentment, exposing how policy failure is redirected into scapegoating

A welfare chart reignites immigration resentment, exposing how policy failure is redirected into scapegoating
A welfare chart reignites immigration resentment, exposing how policy failure is redirected into scapegoating

Why Indian immigrants are being blamed for America’s broken immigration system

A chart recently shared by Donald Trump purported to show welfare reliance by immigrant households from different regions of the world. The chart highlighted high usage rates of welfare among certain communities and reignited a familiar debate about immigration and public assistance in the United States. A recent article in the New India Abroad sparked my attention, necessitating additional commentary.[1]

Indian immigrants did not appear on the chart. At best, their welfare usage was negligible. For many Indian Americans, including this author, the omission merely affirmed what decades of census, labor, and education data have consistently shown: Indian immigrants are among the most educated, highest-earning, and lowest users of public assistance in the country.

What followed, however, revealed something more troubling.

Rather than reinforcing confidence in skills-based immigration, the chart triggered a surge of online backlash aimed squarely at Indian Americans[2]. In replies and quote-tweets, critics accused them of exploiting the H-1B visa program, defrauding the immigration system, suppressing American wages, and “taking without giving back.” In one widely circulated exchange, a commenter suggested that high salaries themselves were evidence that Indian immigrants “needed to leave,” prompting a blunt response: “We are Americans. We aren’t going anywhere.”

This episode exposes a central paradox in US immigration politics. If a community visibly succeeds under the rules of the system, why does that success become grounds for suspicion, particularly when the US immigration system is widely acknowledged to be broken?

Data without context is not policy

The chart spread rapidly across platforms without explaining how “welfare” was defined, whether usage was measured at the household or individual level, how immigration status was categorized, or whether long-settled immigrants were distinguished from recent arrivals.

That lack of transparency matters. Data stripped of context is easily weaponized, not to inform policy, but to justify resentment. Statistical snapshots cannot substitute for policy analysis, yet they are increasingly used as rhetorical shortcuts in immigration debates. President Trump is known to use half-baked data to suit his own assertions without context. Presumably, he believes that his statements and executive orders constitute policy, a false assumption at best, and not serving the United States well on the global stage.

The model minority trap

Indian immigrants were identified with markers once associated with the “model minority”—education, income, and professional concentration. The same markers are increasingly reframed as evidence of unfair advantage or systemic manipulation. They are low users of welfare for a simple reason: they enter the United States primarily through skills-based pathways. More than three-quarters hold a bachelor’s degree or higher, among the highest educational attainment rates of any demographic group.

They are heavily represented in medicine, engineering, technology, research, finance, and higher education. Indian Americans are also among the fastest-growing groups of entrepreneurs and small-business owners.

Immigrants overall comprise roughly 14–15% of the US population, yet contribute a disproportionately large share of tax revenue. Indian immigrants, estimated at 1.5–2% of the population, are believed to contribute about 6% of federal income tax receipts. This reflects high labor-force participation, high earnings, and sustained employment. It is a factual story of net fiscal contribution by Indian immigrants—taxes paid, skills supplied, and public systems sustained.

That same success now carries risk. The sudden outbursts of negative sentiments about the model minority have little to do with welfare. It has everything to do with scarcity, fear, and political displacement in the United States. In an era of housing pressure, labor-market anxiety, and economic uncertainty, high-performing immigrant groups are easily recast as competitors rather than contributors. Legitimate policy concerns blur into collective blame.

Immigration policy failure—reassigned

Concerns about visa abuse, enforcement gaps, and regulatory oversight are real and long overdue. The US immigration system is outdated, fragmented, and inconsistently enforced. Visa categories designed decades ago have failed to keep pace with global talent flows and modern labor markets. Enforcement is uneven, audits are sporadic, and accountability is diffused.

What is striking is how rarely these failures are examined at their source. Successive administrations have deferred comprehensive immigration reform. President Trump is no exception, except that his interventions have often been reactionary rather than structural. Instead of asking whether immigration agencies are adequately resourced, trained, or legally equipped to enforce complex rules, public frustration and blame are erroneously redirected toward immigrants themselves.

Indian immigrants did not design visa caps, draft eligibility criteria, or determine enforcement thresholds. They responded rationally to a system that explicitly rewards education, credentials, and specialized skills. To retroactively criminalize that outcome, socially if not legally, is to punish compliance rather than abuse.

Myths vs. facts

The Indian immigrant community is largely law-abiding, family-oriented, and God-fearing individuals. Their hard work and dedication to the profession have led to success, high wages, and decent living standards. Unfortunately, there are many myths around that must be confronted with facts, such as:

Myth: Indian immigrants exploit the welfare system.
Fact: They are among the lowest users of public assistance.

Myth: High earnings signal fraud or unfair advantage.
Fact: Earnings track education and skill-intensive professions.

Myth: H-1B abuse is an “Indian problem.”
Fact: Any abuse reflects regulatory and enforcement gaps, not ethnic behavior.

Myth: Remittances reduce the US contribution.
Fact: Taxes are paid first. Any remittances come from earned, taxed income.

Immigrant communities are often lumped together in public discourse. For example, reports of welfare fraud involving Somali populations in Minnesota, though limited to specific cases, have shaped public perception broadly. Such headlines can easily obscure critical distinctions and unfairly tarnish law-abiding communities whose outcomes appear very different.

Beyond scapegoating

The welfare chart that sparked controversies and accusations was never really about Indian Americans. But the reaction to it reveals how easily institutional failure can target and blame innocent communities. Their success becomes suspect, competence becomes threatening, and blame finds the path of least resistance.

Structural reform is difficult. Scapegoating is easy.

The United States must move beyond symbolic outrage toward serious immigration reform. That means scrutinizing laws, agencies, incentives, and enforcement capacity rather than projecting systemic frustration onto communities that largely followed the rules and contributed at scale.

The data chart shared by Donald Trump is not inherently the problem. The problem lies in how selectively they are framed, how loosely they are interpreted, and whom they are used to blame. If the United States is serious about immigration reform, it must confront policy design failures, address genuine welfare fraud wherever it exists, and enforce the law fairly—without turning success into suspicion.

Note:
1. Text in Blue points to additional data on the topic.
2. The views expressed here are those of the author and do not necessarily represent or reflect the views of PGurus.

Reference:

[1] Indian Americans flag rising hate after data shows low welfare useJan 05, 2026, New India Abroad

[2] Sidharth – X

For all the latest updates, download PGurus App.

Vijendra Agarwal, born in village Kota (Saharanpur, U.P), left India in 1973 after Ph.D. (Physics) from IIT Roorkee. He is currently a member of project GNARUS, a syndicated service and writers collective. He and his wife co-founded a US-based NGO, Vidya Gyan, to serve rural India toward better education and health of children, especially empowerment of girls. Vidya Gyan is a calling to give back to rural communities and keeping connected to his roots which gave him so much more. His passion for writing includes the interface of policy, politics, and people, and social/cultural activities promoting community engagement.

Formerly, a researcher in Italy, Japan, and France, he has widely travelled and came to the US in 1978. He was a faculty and academic administrator in several different universities in PA, TX, NJ, MN, WI, and NY, and an Executive Fellow in the White House S&T Policy during the Clinton administration.
Vijendra Agarwal

LEAVE A REPLY

Please enter your comment!
Please enter your name here