This file contains a comprehensive set from the data gathered in the Mortgage Bankers Association’s National Delinquency Survey, which is a quarterly report that highlights delinquency rates on different types of loans in America as well as a variety of delinquency ranges (days late on payment). This survey does not analyze every single loan, but takes in around 40 million “first-lien” loans that are serviced by a wide variety of institutions. The dataset highlights which quarter the observations are from, as well as the total number of loans surveyed before breaking down delinquency rates. For every type of loan, the dataset contains the raw number of, and the percentage of, loans that are delinquent by three different time ranges. This is capped off by noting the total and total percentage of loans that are delinquent (regardless of time) in each category. Categories covered are conventional, fixed rate, adjustable rate, FHA, VA, prime, and subprime loans (note: categories are not mutually exclusive: for example, a loan can be both fixed rate and prime). Given that this file only tracks loans made in North Carolina, the focus of study should surround an understanding of the general picture of how the type of a loan influenced the likelihood that the borrower is behind on their payments, as well as to understand the rate at which delinquencies increased as the nation (and the state, specifically) struggled to navigate the financial crisis. This dataset provides a clean window into basic conclusions regarding the correlational relationship between type of loan and delinquency.