Summary The Dataset contains the last five years of H-1B visa(temporary work visa) & PERM (permanent residency application, also know as Green Card). Dataset has been collected between October 1 through September 30 every year by US Department of Labour. Source: www.foreignlaborcert.doleta.gov More details Every year there are thousands of applications are made to the United States Citizenship and Immigration Services. In the last five years, immigration policies changed, companies changed their policies for hiring foreign labor and the overall job market has been great. These aspects make this dataset interesting to see. This could be interesting dataset to perform Exploratory Data Analysis and also perform Machine Learning model could be build to predict rejection rate. The challenging aspect of this dataset is its class imbalance between acceptance and rejection. This could be framed as a classification problem or anomaly detection too. If an application could be built using this dataset for predicting applicants' rejection likelihood, it might gain great interest among thousands of applicants every year as waiting time to know the result has increased from 14 days to over a few months. Dataset Each year has its own XLSX file with 52 features. H1B visa and PERM applications are in different XLSX files.