公开数据集
数据结构 ? 284.79M
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Context:
A permanent labor certification issued by the Department of Labor (DOL) allows an employer to hire a foreign worker to work permanently in the United States. In most instances, before the U.S. employer can submit an immigration petition to the Department of Homeland Security's U.S. Citizenship and Immigration Services (USCIS), the employer must obtain a certified labor certification application from the DOL's Employment and Training Administration (ETA). The DOL must certify to the USCIS that there are not sufficient U.S. workers able, willing, qualified and available to accept the job opportunity in the area of intended employment and that employment of the foreign worker will not adversely affect the wages and working conditions of similarly employed U.S. workers.
Content:
Data covers 2012-2017 and includes information on employer, position, wage offered, job posting history, employee education and past visa history, associated lawyers, and final decision.
Acknowledgements:
This data was collected and distributed by the [US Department of Labor](https://www.foreignlaborcert.doleta.gov/perm.cfm).
Inspiration:
* Can you predict visa decisions based on employee/employer/wage?
* How does this data compare to H1B decisions in this [dataset](https://www.kaggle.com/nsharan/h-1b-visa)?
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