The National Student Loan Data System (NSLDS) is the national database of information about loans and grants awarded to students under Title IV of the Higher Education Act (HEA) of 1965. NSLDS provides a centralized, integrated view of Title IV loans and grants during their complete life cycle, from aid approval through disbursement, repayment, deferment, delinquency, and closure.

Complete set of loan-level data on the recipients of Paycheck Protection Program loans

HERA Section 1212k requires FHFA to prepare a Public Use Database containing information on their loan purchases at the Census Tract level.

This dataset contains the customer's data from a loan company known as Prosper. This dataset comprises of 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others.

Definition of Variables:

ListingKey: Unique key for each listing, same value as the 'key' used in the listing object in the API. ListingNumber: The number that uniquely identifies the listing to the public as displayed on the website. ListingCreationDate: The date the listing was created. CreditGrade: The Credit rating that was assigned at the time the listing went live. Applicable for listings pre-2009 period and will only be populated for those listings. Term: The length of the loan expressed in months. LoanStatus: The current status of the loan: Cancelled, Chargedoff, Completed, Current, Defaulted, FinalPaymentInProgress, PastDue. The PastDue status will be accompanied by a delinquency bucket. ClosedDate: Closed date is applicable for Cancelled, Completed, Chargedoff and Defaulted loan statuses. BorrowerAPR: The Borrower's Annual Percentage Rate (APR) for the loan. BorrowerRate: The Borrower's interest rate for this loan. LenderYield: The Lender yield on the loan. Lender yield is equal to the interest rate on the loan less the servicing fee. EstimatedEffectiveYield: Effective yield is equal to the borrower interest rate (i) minus the servicing fee rate, (ii) minus estimated uncollected interest on charge-offs, (iii) plus estimated collected late fees. Applicable for loans originated after July 2009. EstimatedLoss: Estimated loss is the estimated principal loss on charge-offs. Applicable for loans originated after July 2009. EstimatedReturn: The estimated return assigned to the listing at the time it was created. Estimated return is the difference between the Estimated Effective Yield and the Estimated Loss Rate. Applicable for loans originated after July 2009. ProsperRating (numeric): The Prosper Rating assigned at the time the listing was created: 0 - N/A, 1 - HR, 2 - E, 3 - D, 4 - C, 5 - B, 6 - A, 7 - AA. Applicable for loans originated after July 2009. ProsperRating (Alpha): The Prosper Rating assigned at the time the listing was created between AA - HR. Applicable for loans originated after July 2009. ProsperScore: A custom risk score built using historical Prosper data. The score ranges from 1-10, with 10 being the best, or lowest risk score. Applicable for loans originated after July 2009. ListingCategory: The category of the listing that the borrower selected when posting their listing: 0 - Not Available, 1 - Debt Consolidation, 2 - Home Improvement, 3 - Business, 4 - Personal Loan, 5 - Student Use, 6 - Auto, 7- Other, 8 - Baby&Adoption, 9 - Boat, 10 - Cosmetic Procedure, 11 - Engagement Ring, 12 - Green Loans, 13 - Household Expenses, 14 - Large Purchases, 15 - Medical/Dental, 16 - Motorcycle, 17 - RV, 18 - Taxes, 19 - Vacation, 20 - Wedding Loans BorrowerState: The two letter abbreviation of the state of the address of the borrower at the time the Listing was created. Occupation: The Occupation selected by the Borrower at the time they created the listing. EmploymentStatus: The employment status of the borrower at the time they posted the listing. EmploymentStatusDuration: The length in months of the employment status at the time the listing was created. IsBorrowerHomeowner: A Borrower will be classified as a homowner if they have a mortgage on their credit profile or provide documentation confirming they are a homeowner. CurrentlyInGroup: Specifies whether or not the Borrower was in a group at the time the listing was created. GroupKey: The Key of the group in which the Borrower is a member of. Value will be null if the borrower does not have a group affiliation. DateCreditPulled: The date the credit profile was pulled. CreditScoreRangeLower: The lower value representing the range of the borrower's credit score as provided by a consumer credit rating agency. CreditScoreRangeUpper: The upper value representing the range of the borrower's credit score as provided by a consumer credit rating agency. FirstRecordedCreditLine: The date the first credit line was opened. CurrentCreditLines: Number of current credit lines at the time the credit profile was pulled. OpenCreditLines: Number of open credit lines at the time the credit profile was pulled. TotalCreditLinespast7years: Number of credit lines in the past seven years at the time the credit profile was pulled. OpenRevolvingAccounts: Number of open revolving accounts at the time the credit profile was pulled. OpenRevolvingMonthlyPayment: Monthly payment on revolving accounts at the time the credit profile was pulled. InquiriesLast6Months: Number of inquiries in the past six months at the time the cre...

The database contains data on corporate loan transactions (+14,000 records) sourced from filings by US SEC Registrants in all non-financial industries from January 2009 to present. Of the +14,116 records, as of March 31, 2021, there are 484 loan transactions with credit rating equal to or higher than A-, 1,942 records in the BBB letter category, 2,634 records in the BB letter category, 2,349 records in the B letter category, 273 records that are rated at less than B-, and 6,434 records that are not rated. These +14,000 corporate loan transactions span the 11 GICS Sectors: Energy; Materials; Industrials; Consumer Discretionary; Consumer Staples; Healthcare; Financials (mainly REITS, excludes FIs); Information Technology; Communication Services; Utilities; and Real Estate. The following categories of data are described as follows: 1) Filing Information (with 7 data fields) includes the Filing Company Name, Filing Date, Filing Form and Type of Agreement (credit agreement, amended and restated credit agreement, or an amendment to a credit agreement), and Filing Company’s Central Index Key (CIK), SIC Code and GICS Sector Name; 2) Borrower and Other Loan Participant Details (6 data fields) includes the Primary Borrower’s Name, the Primary Borrower’s country of incorporation, the name(s) of additional borrowers, the name(s) of guarantors, the relationship of the guarantor(s) to the primary borrower, the name(s) of the lead arranger(s)/lender(s); 3) Credit Rating Information (17 data fields) includes publicly available S&P credit ratings and Moody’s credit ratings, if available, as at the date of the credit agreement for Primary Borrower, Parent, Issue and the respective dates of the ratings; 4) Loan Characteristics (16 data fields) includes whether the loan is a revolver or term loan, senior secured or senior unsecured, or other asset class. Also includes data on the loan amount, currency, pricing notes, collateral type, and types of financial covenants; and 5) Loan Pricing Details (11 data fields) includes the type of reference interest rate (e.g., LIBOR), the lending margin (or the fixed rate), commitment fee, annual (facility) fee, and other types of fees, as well as notes and other information related to the pricing.

This data/information would assist any company’s finance & treasury department in negotiating pricing with banks/lenders or a multinational corporation’s international tax department to price its intercompany loans for transfer pricing purposes. CUFTanalytics' corporate loan database has over 14,000 records from corporate loan transactions from January 2009 to March 2021. The database is updated monthly by the 15th of following month.

SBA Coronavirus (COVID-19) Relief Options: Economic Injury Disaster Loan (EIDL) Loans Report

United States WAS: Refinance Loans % of the Total Loan Amounts data was reported at 32.700 % in 20 Jul 2018. This records an increase from the previous number of 31.900 % for 13 Jul 2018. United States WAS: Refinance Loans % of the Total Loan Amounts data is updated weekly, averaging 47.010 % from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 86.500 % in 09 Jan 2009 and a record low of 9.990 % in 10 Mar 1995. United States WAS: Refinance Loans % of the Total Loan Amounts data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

Dataset

This dataset was created by Ross Warren

Contents

Abstract

Title: Cotality Loan-Level Market Analytics (LLMA)

Cotality Loan-Level Market Analytics (LLMA) for primary mortgages contains detailed loan data, including origination, events, performance, forbearance and inferred modification data. This dataset may not be linked or merged with any of the other datasets we have from Cotality.

Formerly known as CoreLogic Loan-Level Market Analytics (LLMA).

Methodology

Cotality sources the Loan-Level Market Analytics data directly from loan servicers. Cotality cleans and augments the contributed records with modeled data. The Data Dictionary indicates which fields are contributed and which are inferred.

The Loan-Level Market Analytics data is aimed at providing lenders, servicers, investors, and advisory firms with the insights they need to make trustworthy assessments and accurate decisions. Stanford Libraries has purchased the Loan-Level Market Analytics data for researchers interested in housing, economics, finance and other topics related to prime and subprime first lien data.

Cotality provided the data to Stanford Libraries as pipe-delimited text files, which we have uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see Cotality 2024 GitLab.

Usage

Per the End User License Agreement, the LLMA Data cannot be commingled (i.e. merged, mixed or combined) with Tax and Deed Data that Stanford University has licensed from Cotality, or other data which includes the same or similar data elements or that can otherwise be used to identify individual persons or loan servicers.

The 2015 major release of Cotality Loan-Level Market Analytics (for primary mortgages) was intended to enhance the Cotality servicing consortium through data quality improvements and integrated analytics. See **Cotality_LLMA_ReleaseNotes.pdf **for more information about these changes.

For more information about included variables, please see Cotality_LLMA_Data_Dictionary.pdf.

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For more information about how the database was set up, please see LLMA_Download_Guide.pdf.

Bulk Data Access

Data access is required to view this section.

Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. This report, which analyzes loan data from June 2019 to June 2020, examines the small business lending market at the beginning of the COVID-19 pandemic. Small business loans (loans below $1 million) increased by nearly 40% from 2019 to 2020, largely due to the newly enacted Paycheck Protection Program. Alongside the report, the appendix tables provide bank level detail of small business lending activity and breakdowns at the state level.

Should This Loan be Approved or Denied?

If you like the data set and download it, an upvote would be appreciated.

The Small Business Administration (SBA) was founded in 1953 to assist small businesses in obtaining loans. Small businesses have been the primary source of employment in the United States. Helping small businesses help with job creation, which reduces unemployment. Small business growth also promotes economic growth. One of the ways the SBA helps small businesses is by guaranteeing bank loans. This guarantee reduces the risk to banks and encourages them to lend to small businesses. If the loan defaults, the SBA covers the amount guaranteed, and the bank suffers a loss for the remaining balance.

There have been several small business success stories like FedEx and Apple. However, the rate of default is very high. Many economists believe the banking market works better without the assistance of the SBA. Supporter claim that the social benefits and job creation outweigh any financial costs to the government in defaulted loans.

The Data Set

The original data set is from the U.S.SBA loan database, which includes historical data from 1987 through 2014 (899,164 observations) with 27 variables. The data set includes information on whether the loan was paid off in full or if the SMA had to charge off any amount and how much that amount was. The data set used is a subset of the original set. It contains loans about the Real Estate and Rental and Leasing industry in California. This file has 2,102 observations and 35 variables. The column Default is an integer of 1 or zero, and I had to change this column to a factor.

For more information on this data set go to https://amstat.tandfonline.com/doi/full/10.1080/10691898.2018.1434342

These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

This is a dataset which merges loan data from Lending Club from 2007-2017

United States WAS: USDA Loans as % of Total Loan Applicationss data was reported at 0.800 % in 20 Jul 2018. This records an increase from the previous number of 0.700 % for 13 Jul 2018. United States WAS: USDA Loans as % of Total Loan Applicationss data is updated weekly, averaging 0.800 % from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 1.300 % in 08 Aug 2014 and a record low of 0.400 % in 17 Jan 2014. United States WAS: USDA Loans as % of Total Loan Applicationss data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

Synthesised loan risk database data on Loans to non-financial corporations includes loan amounts, maturities, and interest rates. To be accurate but not identify specific companies, the data was synthesised using specific software.

Graph and download economic data for Loans and Leases in Bank Credit, All Commercial Banks (LOANS) from Jan 1947 to Dec 2025 about leases, credits, commercial, loans, banks, depository institutions, and USA.

These are complaints we’ve received about financial products and services.

The 7A loan is the most common loan granted by the SBA, and is usually used for working capital, debt refinancing, and capex. This dataset contains three CSV files that present all publicly-available data from 1991 through year-end 2022.

Other SBA data are available here.