Key Takeaways
- In 2023, US employment rate for foreign-born was 63.5 percent versus 59.2 percent for native-born.
- Foreign-born men employment rate 69.8 percent in US 2023.
- Employment rate for foreign-born women in US reached 55.4 percent 2023.
- In 2023, the labor force participation rate for foreign-born individuals aged 16 and over in the United States was 65.9 percent, compared to 61.3 percent for native-born individuals.
- Among foreign-born women in the US labor force in 2023, the participation rate was 57.2 percent versus 56.8 percent for native-born women.
- Foreign-born Hispanic immigrants had a labor force participation rate of 67.4 percent in the US in 2023.
- In 2023, 17.1 percent of US construction workers were foreign-born.
- Foreign-born represented 36.2 percent of US agriculture workers in 2023.
- 25.4 percent of building cleaners foreign-born US 2023.
- US foreign-born unemployment rate was 3.9 percent in 2023, lower than native-born 4.1 percent.
- Foreign-born men unemployment 3.7 percent US 2023.
- Foreign-born women unemployment 4.2 percent US 2023.
- Median weekly earnings for foreign-born full-time workers in US 2023 was $1,024, 84 percent of native-born $1,216.
- Foreign-born men median earnings $1,098 US 2023, native $1,295.
- Foreign-born women earnings $912 weekly US 2023, native $1,024.
In 2023, foreign born employment outpaced native rates but earnings and participation varied widely.
Employment Statistics
Employment Statistics Interpretation
Labor Force Participation
Labor Force Participation Interpretation
Occupational Distribution
Occupational Distribution Interpretation
Unemployment Statistics
Unemployment Statistics Interpretation
Wage Statistics
Wage Statistics 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.
Gabrielle Fontaine. (2026, February 13). Immigrant Labor Force Statistics. Gitnux. https://gitnux.org/immigrant-labor-force-statistics
Gabrielle Fontaine. "Immigrant Labor Force Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/immigrant-labor-force-statistics.
Gabrielle Fontaine. 2026. "Immigrant Labor Force Statistics." Gitnux. https://gitnux.org/immigrant-labor-force-statistics.
Sources & References
- Reference 1BLSbls.gov
bls.gov
- Reference 2PEWRESEARCHpewresearch.org
pewresearch.org
- Reference 3MIGRATIONPOLICYmigrationpolicy.org
migrationpolicy.org
- Reference 4PPICppic.org
ppic.org
- Reference 5NYCnyc.gov
nyc.gov
- Reference 6NSFnsf.gov
nsf.gov
- Reference 7DALLASFEDdallasfed.org
dallasfed.org
- Reference 8CENSUScensus.gov
census.gov
- Reference 9EPIepi.org
epi.org
- Reference 10FLORIDAPOLICYfloridapolicy.org
floridapolicy.org
- Reference 11USCISuscis.gov
uscis.gov
- Reference 12ILLINOISillinois.gov
illinois.gov
- Reference 13VAva.gov
va.gov
- Reference 14AAMCaamc.org
aamc.org







