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

SBA 7(a) and 504 loan data reports for loans approved since FY1991.

An aggregated dataset of PPP (Paycheck Protection Program) SBA (Small Business Administration) loans involving 3 million businesses would be a comprehensive collection of financial information, aimed at analyzing the distribution and impact of these loans. This dataset would include key details such as the names of the businesses, loan amounts, loan disbursement dates, and the terms of the loans. Additionally, the dataset would contain information on board members of these businesses, providing insights into the governance structures and potential networks influencing the flow of SBA funds. This aspect of the dataset can be crucial for understanding the distribution patterns of PPP loans, identifying trends in funding allocation among different types of businesses, and examining any correlations between board composition and loan receipt. Such a dataset would be valuable for various analyses, including: Financial Analysis: Assessing the financial health and stability of businesses that received PPP loans, and understanding how these loans have impacted their operations during challenging economic times. Governance Analysis: Evaluating the role of board members in acquiring PPP loans, and whether certain types of governance structures were more successful in securing funds. Economic Impact Assessment: Measuring the broader economic impact of the PPP loans, such as job retention, business survival rates, and sector-wise distribution of funds. Network Analysis: Mapping the connections between different businesses and their board members to identify any potential networks or clusters that may have influenced the flow of funds. Policy Evaluation: Providing data-driven insights to policymakers for assessing the effectiveness of the PPP program and for planning future economic relief measures.

Small business lending from bank lenders remained positive in 2017, but a slower pace than the previous year. The research report by the Office of Advocacy examines FDIC data to find that small banks devoted larger shares of their assets to small business loans, while large banks issued a higher total volume of small business loans. The report covers all small business loans (commercial loans of $1 million or less) and is not specific to SBA-guaranteed loans. It contains detailed appendix tables with information on small business loans outstanding and loan originations for all reporting banks by state. These tables also provide state rankings of bank lenders by small business lending ratios.

The Paycheck Protection Program (PPP) loans provide small businesses with the resources they need to maintain their payroll, hire back employees who may have been laid off, and cover applicable overhead. This data set includes businesses in New Jersey who received PPP funding, how much funding the employer received & how many jobs the employer claims they saved. The NAICS (National Industry Classification) was provided by the loan recipient.

Note: As per SBA, The Paycheck Protection Program (PPP) ended on May 31, 2021 so no updates has been made on this dataset.

Please see attached document on landing page for more details.

Paycheck Protection Program loans are SBA loans that helps businesses keep their workforce employed during the Coronavirus (COVID-19) crisis, specific to Colorado. Includes < $150,000 loans and > $150,000 loans. Current law dictates that the Paycheck Protection Program (PPP) close at the end of August 8, 2020.

This dataset is published by the Atlanta Regional Commission Research & Analytics group to show Paycheck Protection Program Loans for Georgia. Source: US Department of Treasuryhttps://home.treasury.gov/policy-issues/cares-act/assistance-for-small-businesses/sba-paycheck-protection-program-loan-level-data

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

Graph and download economic data for Delinquency Rate on Business Loans, All Commercial Banks (DRBLACBS) from Q1 1987 to Q1 2025 about delinquencies, commercial, business, loans, banks, depository institutions, industry, rate, and USA.

Survey data are sourced from the recipients of 10 emergency grant and loan initiatives offered by Carolina Small Business Development Fund (CSBDF) to qualifying small business owners across North Carolina between February 2020 and February 2022. This includes 1 loan and 1 grant program offered by CSBDF with its own funds as well as 4 loan and 4 grant programs administered via partnerships across the public and philanthropic sector. In total 1,304 unique firms received 1,410 grants and loan interventions during the study period. A total of 570 responses were received, inclusive of 487 full and 83 partially complete surveys. The survey includes grantees from the (1) State of North Carolina's Historically Underutilized Business (HUB) Office ReToolNC Program, (2) the City of Raleigh COVID-19 Relief Fund, (3) the City of Durham and Durham County's Recovery Grant Program, (4) the NC IDEA Foundation's Northeastern Rural North Carolina Grant Initiative, and (5) CSBDF's Borrower Grant Program. Additionally, loan recipients were surveyed from the following emergency financing facilities: (1) Mecklenburg County's COVID-19 Fund and its subsequent iteration the (2) MeckLending Loan Program, (3) Golden LEAF's North Carolina Rapid Recovery Program, (4) the City of Durham's Recovery Loan Program, and (5) financing offered by CBSDF from its revolving loan capital during the study period.

Status of repayment of loan from the Canada Emergency Business Account (CEBA) and if the business or organization anticipates having the liquidity available or access to credit to repay the CEBA loan by December 31, 2026, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.

This dataset is updated weekly. For more up-to-date filings, refer to the "View Filed Statements" or "Search Within Statements" links on the Ethics Commission webpage. Income, Loans, and Business positions (other than gifts and travel payments) Non-governmental salaries of public official and spouse/registered domestic partnerships Link to Form 700 overview: http://www.fppc.ca.gov/Form700.html In this dataset, the fields "incomeAddress" and "loanAddress" are redacted. This dataset contains records from Schedule C across electronic Form 700 filings with the SFEC since January 1, 2014. To see all the data from a specific filing, you should search all the datasets listed on this page and filter by the filingId of the specific filing. Prior to the start of e-filing for all in 2022, elected officials, department heads, and members of boards and Commissions filed the Form 700 with the Ethics Commission; designated employees filed the Form 700 on paper with their department's designated filing officer.

The files contain the replication codes in STATA for “Culture, Lending Relationships, and the Cost of Credit”.

Business or organization received a repayable loan from the Canada Emergency Business Account (CEBA), by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.

The datasets include the following: Businesses - License Types: * Collection Agency * Consumer Reporting Agency * Distributor (Area: Province of Ontario) * Lender * Loan Broker * Bailiff (Business) Individuals - License Types: * Bailiff (Assistant - Reg) * Personal Information Investigator * Bailiff (Owner) * Bailiff (Assistant - Appointed) * Bailiff (Employee) Search the database.

Company Information:

The data set is based upon https://www.kaggle.com/prateikmahendra/loan-data"> Lending Club Information . - TheIrish Dummy Banks is a peer to peer lending bank based in the ireland, in which bank provide funds for potential borrowers and bank earn a profit depending on the risk they take (the borrowers credit score). Irish Fake bank provides loan to their loyal customers. The complete data set is borrowed from Lending Club For more basic information about the company please check out the wikipedia article about the company. This dataset is copied and clean from kaggle but it has been changed. The any kind of similarity is just for learning purposes. I dont have any intention for Plagiarism I just like to be clear myself.

<a src="https://en.wikipedia.org/wiki/Lending_Club"> Lending Club Information </a>

The central idea and coding is abstract from Kevin mark ham youtube video series, Introduction to machine learning with scikit-learn video series. You can find link under resources section.

Data Description

• LoanStatNew Description

• addr_state The state provided by the borrower in the loan application

• annual_inc The self-reported annual income provided by the borrower during registration.

• annual_inc_joint The combined self-reported annual income provided by the co-borrowers during registration

• application_type Indicates whether the loan is an individual application or a joint application with two co-borrowers

• collection_recovery_fee post charge off collection fee

• collections_12_mths_ex_med Number of collections in 12 months excluding medical collections

• delinq_2yrs The number of 30+ days past-due incidences of delinquency in the borrower's credit file for the past 2 years

• desc Loan description provided by the borrower

• dti A ratio calculated using the borrower’s total monthly debt payments on the total debt obligations, - - - excluding mortgage and the requested LC loan, divided by the borrower’s self-reported monthly income.

• dti_joint A ratio calculated using the co-borrowers' total monthly payments on the total debt obligations, - excluding mortgages and the requested LC loan, divided by the co-borrowers' combined self-reported monthly income

• earliest_cr_line The month the borrower's earliest reported credit line was opened

• emp_length Employment length in years. Possible values are between 0 and 10 where 0 means less than one year

• and 10 means ten or more years.

• emp_title The job title supplied by the Borrower when applying for the loan.*

• fico_range_high The upper boundary range the borrower’s FICO at loan origination belongs to.

• fico_range_low The lower boundary range the borrower’s FICO at loan origination belongs to.

• funded_amnt The total amount committed to that loan at that point in time.

• funded_amnt_inv The total amount committed by investors for that loan at that point in time.

• grade LC assigned loan grade

• home_ownership The home ownership status provided by the borrower during registration. Our values are: RENT, OWN, MORTGAGE, OTHER.

At the Financial Services Commission, you can search for information on guaranteed balance and deposit and loan information among the financial information of individual businesses. The main components include date of establishment of individual businesses, industry and regional information, required deposit amount, loan amount, and guaranteed balance, etc.Data is updated once a year.

This table contains 64 series, with data for years 1981 - 1993 (not all combinations necessarily have data for all years), and was last released on 2008-10-08. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Type of currency (2 items: Canadian dollar; Foreign currency ...), Type of loan authorization (2 items: Amounts outstanding under authorized limits; Amounts authorized under authorized limits ...), Type of loans (3 items: Total; demand and term loans; Term; Demand ...), Size of loan authorization (9 items: Total; all loan authorization sizes;$0.2 million to $50 million; Less than $0.2 million;$0.2 million to $0.5 million ...).

This page contains the replication codes for my paper "Inaccurate Borrower Information and Credit Risk: Evidence from Marketplace Loans". I provide a set of pseudodata that is similar to the actual dataset used in terms of structure, but does not retain the same distributional properties. It is also smaller in size to facilitate faster running of the code.

The Maryland Department of Commerce collects and publishes its Commerce Consolidated Finance Tracker data to provide information on how the agency's grants, tax credits, equity investments and loan enhancements were distributed between FY 2016 and the most recent past fiscal year. Users can search and sort by company, amount, location and program.