An Analytical Study of H-2 Visa Applications Acceptance Rates in the U.S.A.
Document Type
Conference Proceeding
Publication Date
2025
Abstract
This paper represents an analytical study of visa applications for H-2A and H-2B categories in the United States from 2000 to 2022. The study gives detailed information regarding the certification outcomes, geographic location, and work type of the applicants. Using Python and other data analytics tools, the study exposes trends reflecting the effects on visa application numbers and approval rates of changing immigration policies, labor market demand, and economic cycles. Research results show a consistent increase in H-2A applications driven by agricultural sector labor shortages and changes in H-2B applications resulting from the visa restriction and developments in non-agricultural sectors, including hotel and construction.
The findings reveal regional differences, with states like California, Texas, and Florida leading in visa requests and dominating the visa field. Particularly in seasonal and low-paying jobs, this paper highlights the vital role foreign workers play in fulfilling U.S. labor market needs. The study offers a data-driven basis for future research and policy decisions addressing temporary labor migration.
DOI
10.1007/978-3-031-87647-9_18
Recommended Citation
Pannangi, S.V.G., Nagella, S., Senbel, S. (2025). An analytical study of H-2 visa applications acceptance rates in the U.S.A.. In K. D Daimi, A. Al Sadoon, (Eds.), Proceedings of the third international conference on advances in computing research. Springer, Cham. Doi: 10.1007/978-3-031-87647-9_18
Comments
Part of the book series: Lecture Notes in Networks and Systems
Included in the following conference series: International Conference on Advances in Computing Research