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US H-1B Visa Petitions 2017-2022
Data Science and Analytics
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About
Information concerning H-1B, H-1B1, and E-3 visa petitions for the period 2017 to 2022 is presented. These programmes are part of the Labor Condition Application (LCA) Specialty Occupation framework, enabling employers to temporarily engage foreign workers in the United States for specialty occupations. The H-1B visa caters to various specialty occupations, while H-1B1 is specific to workers from Chile and Singapore, and E-3 is for workers from Australia. The data is compiled by the Office of Foreign Labor Certification and updated quarterly. All private information has been removed or anonymised, and transformations have been applied to enhance its utility for analysis.
Columns
- Visa_Class: Indicates the type of temporary application submitted for processing, such as H-1B, E-3 Australian, or other categories.
- Employer_Name: The legal business name of the employer submitting the Labor Condition Application.
- SOC_Title: The occupational title associated with the SOC/O*NET Code. Common examples include Software Developers, Applications, and Computer Systems Analysts.
- Job_Title: The specific title of the job being offered, such as PROGRAMMER ANALYST or SOFTWARE ENGINEER.
- Full_Time_Position: A boolean indicator (Y for Full Time, N for Part Time) specifying the employment status.
- Worksite: Geographic information for the first worksite location.
- Prevailing_Wage: The prevailing wage for the job requested for the first worksite location.
- Unit_Of_Pay: The unit in which the prevailing wage is paid, typically 'Year' or 'Hour'.
- Employer_Location: Contact information for the Employer Point of Contact submitting a Labor Condition Application, including city and state.
- Employer_Country: The country of the employer point of contact, predominantly 'United States Of America'.
- Case_Status: The status associated with the last significant event or decision of the application, such as 'CERTIFIED' or 'CERTIFIED-WITHDRAWN'.
Distribution
The dataset is provided in CSV format. An example file, LCA_FY_2017.csv, is approximately 109.02 MB in size and contains around 625,000 records across 11 columns. Specific numbers for rows or records for the entire dataset are not explicitly provided, but individual columns indicate a similar record count.
Usage
This data is ideal for time series analysis to observe trends, such as the growth of Software Engineer or Data Scientist roles over time. It can be used for survey and statistical analysis to explore how academia fills positions or the performance of STEM versus non-STEM occupations. Additionally, it enables exploratory data analysis to understand patterns in petition increases year-on-year, human rights aspects, and income distributions.
Coverage
The dataset covers H-1B, H-1B1, and E-3 visa petitions submitted between 2017 and 2022. Geographically, it focuses on temporary employment of foreign workers in the United States, with specific provisions for workers from Chile, Singapore (H-1B1), and Australia (E-3). Information on employer and worksite locations within the United States is also included. For data from periods prior to 2017, separate resources are available.
License
CC BY-NC-SA 4.0
Who Can Use It
Researchers and policy analysts can use this data to study immigration policies and their impact on the U.S. labour market. Economists may find it valuable for analysing wage trends and employment patterns in specialty occupations. Human resource professionals and recruiters can gain insights into the supply and demand for skilled foreign labour. Data scientists and analysts can leverage it for statistical modeling, trend forecasting, and data visualisation projects related to temporary work visas.
Dataset Name Suggestions
- US H-1B Visa Petitions 2017-2022
- Specialty Occupation Visa Applications (H-1B, H-1B1, E-3)
- Foreign Worker Visa Data (USA, 2017-2022)
- Labor Condition Applications: H-1B, H-1B1, E-3 (2017-2022)
Attributes
Original Data Source: US H-1B Visa Petitions 2017-2022
QUALITY