Key Takeaways
- As of 2022, the estimated unauthorized immigrant population in the United States stood at 11 million, comprising about 3.3% of the total U.S. population.
- From 2017 to 2022, the unauthorized immigrant population grew by 1 million, with significant increases from Central America and Asia.
- In 2022, 4.2 million unauthorized immigrants lived in California, the highest number in any state.
- Unauthorized immigrants cost U.S. taxpayers $150.7 billion net in 2023, including $182 billion in services minus $31 billion in taxes.
- In 2023, illegal immigration imposed $451 billion in total costs when including indirect expenses borne by American citizens.
- Unauthorized immigrants paid $35.1 billion in federal taxes and $21.3 billion in state and local taxes in 2022.
- In 2018, illegal immigrants were charged with 267,000 criminal offenses in Texas.
- Non-detained aliens released into the U.S. committed 63% more crimes than detained ones.
- ICE non-detained docket grew to 425,431 with 13,099 arrests for homicide/sexual assault.
- Unauthorized immigrants used Medicaid at 42% rate vs. 25% for natives.
- 59% of illegal immigrant households used at least one welfare program.
- Uncompensated hospital care for illegal immigrants: $4.6 billion in California alone yearly.
- In FY2023, Border Patrol apprehended 2.4 million illegal aliens at the southwest border.
- Gotaways (evaded apprehensions) estimated at 1.6 million since FY2021.
- ICE deported 142,580 illegal immigrants in FY2023.
The unauthorized immigrant population is large, costly, and complex, with significant economic and social impacts.
Border and Enforcement
Border and Enforcement Interpretation
Crime and Public Safety
Crime and Public Safety Interpretation
Economic Impact
Economic Impact Interpretation
Health and Welfare
Health and Welfare Interpretation
Population and Demographics
Population and Demographics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Illegal Immigrant Statistics. Gitnux. https://gitnux.org/illegal-immigrant-statistics
Priya Chandrasekaran. "Illegal Immigrant Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/illegal-immigrant-statistics.
Priya Chandrasekaran. 2026. "Illegal Immigrant Statistics." Gitnux. https://gitnux.org/illegal-immigrant-statistics.
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