Private Debt to GDP in the United States decreased to 142 percent in 2024 from 147.50 percent in 2023. United States Private Debt to GDP - values, historical data, forecasts and news - updated on July of 2025.

The Debt to the Penny dataset provides information about the total outstanding public debt and is reported each day. Debt to the Penny is made up of intragovernmental holdings and debt held by the public, including securities issued by the U.S. Treasury. Total public debt outstanding is composed of Treasury Bills, Notes, Bonds, Treasury Inflation-Protected Securities (TIPS), Floating Rate Notes (FRNs), and Federal Financing Bank (FFB) securities, as well as Domestic Series, Foreign Series, State and Local Government Series (SLGS), U.S. Savings Securities, and Government Account Series (GAS) securities. Debt to the Penny is updated at 3:00 PM EST each business day with data from the previous business day.

This dataset provides values for PRIVATE DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The Monthly Statement of the Public Debt (MSPD) details the Treasury's outstanding debts and the statutory debt limit. Debt is categorized by whether it is marketable or non-marketable and whether it is debt held by the public or debt held by government agencies. All amounts are reported in millions of U.S. dollars. Data is published on the fourth business day of each month, detailing the debt as of the end of the previous month.

A novel dataset for bankruptcy prediction related to American public companies listed on the New York Stock Exchange and NASDAQ is provided. The dataset comprises accounting data from 8,262 distinct companies recorded during the period spanning from 1999 to 2018.

According to the Security Exchange Commission (SEC), a company in the American market is deemed bankrupt under two circumstances. Firstly, if the firm's management files for Chapter 11 of the Bankruptcy Code, indicating an intention to "reorganize" its business. In this case, the company's management continues to oversee day-to-day operations, but significant business decisions necessitate approval from a bankruptcy court. Secondly, if the firm's management files for Chapter 7 of the Bankruptcy Code, indicating a complete cessation of operations and the company going out of business entirely.

In this dataset, the fiscal year prior to the filing of bankruptcy under either Chapter 11 or Chapter 7 is labeled as "Bankruptcy" (1) for the subsequent year. Conversely, if the company does not experience these bankruptcy events, it is considered to be operating normally (0). The dataset is complete, without any missing values, synthetic entries, or imputed added values.

The resulting dataset comprises a total of 78,682 observations of firm-year combinations. To facilitate model training and evaluation, the dataset is divided into three subsets based on time periods. The training set consists of data from 1999 to 2011, the validation set comprises data from 2012 to 2014, and the test set encompasses the years 2015 to 2018. The test set serves as a means to assess the predictive capability of models in real-world scenarios involving unseen cases.

Reflects the number of loans approved by fiscal year for the major programs and aggregate totals for the other direct and guarantied programs.

This table represents the breakdown of tax refunds by recipient (individual vs business) and type (check vs electronic funds transfer). Tax refunds are also represented as withdrawals in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million. As of February 14, 2023, Table VI Income Tax Refunds Issued was renamed to Table V Income Tax Refunds Issued within the published report.