The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Government Debt in the United States increased to 36916987 USD Million in July from 36211469 USD Million in June of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q1 2025 about public, debt, federal, government, and USA.

Total outstanding debt of the U.S. government reported daily. Includes a breakout of intragovernmental holdings (federal debt held by U.S. government) and debt held by the public (federal debt held by entities outside the U.S. government).

Households Debt in the United States decreased to 69.20 percent of GDP in the fourth quarter of 2024 from 70.50 percent of GDP in the third quarter of 2024. This dataset provides - United States Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Summarizes the U.S. government's total outstanding debt at the end of each fiscal year from 1789 to the current year.

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 September of 2025.

This dataset provides values for GOVERNMENT 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.

Short-Term-Debt Time Series for Rexford Industrial Realty Inc. Rexford Industrial creates value by investing in, operating and redeveloping industrial properties throughout infill Southern California, the world's fourth largest industrial market and consistently the highest-demand with lowest-supply major market in the nation. The Company's highly differentiated strategy enables internal and external growth opportunities through its proprietary value creation and asset management capabilities. As of June 30, 2025, Rexford Industrial's high-quality, irreplaceable portfolio comprised 422 properties with approximately 51.0 million rentable square feet occupied by a stable and diverse tenant base. Structured as a real estate investment trust (REIT) listed on the New York Stock Exchange under the ticker REXR, Rexford Industrial is an S&P MidCap 400 Index member.

Short-Term-Debt Time Series for CH Robinson Worldwide Inc. C.H. Robinson Worldwide, Inc., together with its subsidiaries, provides freight transportation and related logistics and supply chain services in the United States and internationally. It operates in two segments, North American Surface Transportation and Global Forwarding. The company offers transportation and logistics services, such as truckload; less than truckload transportation brokerage services, which include the shipment of single or multiple pallets of freight; intermodal transportation that comprises the shipment service of freight in containers or trailers by a combination of truck and rail; and non-vessel operating common carrier and freight forwarding services, as well as organizes air shipments and provides door-to-door services. It also provides customs brokerage services; and other logistics services, such as fee-based managed, warehousing, and other services. In addition, the company is involved in the buying, selling, and/or marketing of fresh fruits, vegetables, and other value-added perishable items under the Robinson Fresh trade name. Further, the company offers transportation management and other surface transportation services. It provides its fresh produce to grocery retailers, restaurants, produce wholesalers, and foodservice distributors through a network of independent produce growers and suppliers. The company was founded in 1905 and is headquartered in Eden Prairie, Minnesota.

Monthly and fiscal year-to-date increases and decreases in federal debt. The data is broken out by debt holder type, principal, interest, and premiums/discounts.

The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes. Experimental variations were used in the instruments. The questionnaire contains numerous randomisations as well as a cross-questionnaire experiment. Topics: Party preference (Sunday question); assessment of the importance of selected policy fields for the federal government (labour market, foreign policy, education and research, citizen participation, energy supply, food and agriculture, European unification, family, health care system, gender equality, internal security, personal rights, pension system, national debt, tax system, environment and climate protection, consumer protection, transport, defence, currency, economy, immigration and integration); currently most important policy areas for the respondent; satisfaction with the performance of the federal government (scalometer); satisfaction with the performance of the parties CDU/CSU, SPD, Bündnis 90/Die Grünen, Die Linke (scalometer); probability of an external event: Effects of the Ukraine crisis on the availability and price of Russian gas in Germany; Federal government should draw consequences from the Ukraine crisis and find alternatives to the purchase of Russian gas; assessment of political decisions of the Federal government on the introduction of a rent brake and a car toll, on the expansion of the digital infrastructure as well as on the re-regulation of prostitution; respective responsibility for the fact that corresponding laws have not yet been passed; expected change in unemployment due to the introduction of the minimum wage respectively in Eastern Germany, Western Germany and in Germany as a whole; opinion on the introduction of a statutory minimum wage; assessment of an alternative proposal to the minimum wage (state pays the difference between the real hourly wage and a gross wage of 8.50 euros); opinion on lowering the minimum wage in regions with high unemployment instead of the same minimum wage throughout Germany; self-assessment of patience and willingness to take risks (scalometer); preferred date for the debt brake (from 2015, from 2020, from 2025, after 2030 or not at all); assessment of the debt brake; assessment of the probability that one´s own federal state will manage without new debt from 2020; one´s own federal state should comply with the debt brake if not all 16 federal states manage without new debt from 2020; net household income resp. personal income; own willingness to pay an additional tax amount so that the own federal state can get along without new debts from 2020 onwards and the amount of this contribution (answer scale depending on household income and personal income); debts of cities and municipalities: Willingness to pay additional fees so that the municipality of residence can manage without new debts and the amount of this contribution (classified); willingness to agree to the merger of one´s own federal state with a neighbouring federal state; opinion on self-determination of the tax level by the federal states; opinion on the financing of infrastructure costs in poor regions via a common EU budget; opinion on EU loans within the framework of the euro bailout fund for heavily indebted member states; opinion on the fiscal equalisation system between the federal states; whether one´s own federal state belongs to the donor states or the recipient states; opinion on a law on the formation of reserves by the federal states for the pensions of state civil servants; demand for state measures to reduce income disparities; acceptance of tax evasion; inflation in Germany: Assessment of the price development for food and clothing in general and measured against the expectations of the European Central Bank (ECB) (inflation expectations); expected annual inflation rate in five and in ten years (medium-term and long-term inflation); assessment of the European Central Bank with regard to price stability in the Eurozone; preferred combination of the amount of monthly expenditure and the amount of a loan repayment; reception frequency of news in general and of news on the topic of economy. Demography: sex; citizenship; year of birth (categorised); highest school-leaving qualification; highest professional qualification; marital status; household size; employment status; private internet use; federal state. Additionally coded were: Interview date; year of recruitment; questionnaire evaluation; overall interview assessment; unique ID identifier, household identifier and person identifier within household. Das German Internet Panel (GIP) ist ein Infrastrukturprojekt. Das GIP dient der Erhebung von Daten über individuelle Einstellungen und Präferenzen, die für politische und ökonomische Entscheidungsprozesse relevant sind. Es wurden experimentelle Variationen in den Instrumenten eingesetzt. Der Fragebogen enthält zahlreiche Randomisierungen sowie ein fragebogenübergreifendes Experiment. Themen: Parteipräferenz (Sonntagsfrage); Einschätzung der Wichtigkeit ausgewählter Politikfelder für die Bundesregierung (Arbeitsmarkt, Außenpolitik, Bildung und Forschung, Bürgerbeteiligung, Energieversorgung, Ernährung und Landwirtschaft, Europäische Einigung, Familie, Gesundheitssystem, Gleichstellung von Frauen und Männern, Innere Sicherheit, Persönlichkeitsrechte, Rentensystem, Staatsverschuldung, Steuersystem, Umwelt und Klimaschutz, Verbraucherschutz, Verkehr, Verteidigung, Währung, Wirtschaft, Zuwanderung und Integration); derzeit wichtigste Politikfelder für den Befragten; Zufriedenheit mit den Leistungen der Bundesregierung (Skalometer); Zufriedenheit mit den Leistungen der Parteien CDU/CSU, SPD, Bündnis 90/Die Grünen, Die Linke (Skalometer); Wahrscheinlichkeit eines von außen wirkenden Ereignisses: Auswirkungen der Ukraine-Krise auf die Verfügbarkeit und den Preis von russischem Gas in Deutschland; Bundesregierung sollte Konsequenzen aus der Ukraine-Krise ziehen und Alternativen zum Bezug von russischem Gas finden; Beurteilung von politischen Entscheidungen der Bundesregierung zur Einführung einer Mietpreisbremse und einer Pkw-Maut, zum Ausbau der digitalen Infrastruktur sowie zur Neuregulierung von Prostitution; jeweilige Verantwortlichkeit für die bisher nicht erfolgte Verabschiedung entsprechender Gesetze; erwartete Veränderung der Arbeitslosigkeit durch die Einführung des Mindestlohns jeweils in Ostdeutschland, Westdeutschland und in Deutschland insgesamt; Meinung zur Einführung eines gesetzlichen Mindestlohns; Bewertung eines Alternativvorschlags zum Mindestlohn (Staat zahlt Differenz zwischen dem realen Stundenlohn und einem Bruttolohn von 8,50 Euro); Meinung zur Senkung des Mindestlohns in Regionen mit hoher Arbeitslosigkeit statt gleicher Mindestlohn in ganz Deutschland; Selbsteinschätzung der Geduld und der Risikobereitschaft (Skalometer); präferierter Zeitpunkt für die Schuldenbremse (ab 2015, ab 2020, ab 2025, nach 2030 oder überhaupt nicht); Bewertung der Schuldenbremse; Einschätzung der Wahrscheinlichkeit, dass das eigene Bundesland ab 2020 ohne neue Schulden auskommt; eigenes Bundesland sollte Schuldenbremse einhalten, falls nicht alle 16 Bundesländer ab 2020 ohne neue Schulden auskommen; Haushaltsnettoeinkommen bzw. persönliches Einkommen; eigene Bereitschaft zur Zahlung eines zusätzlichen Steuerbetrages, damit das eigene Bundesland ab 2020 ohne neue Schulden auskommt und Höhe dieses Beitrags (Antwortskala abhängig vom Haushaltseinkommen und dem persönlichen Einkommen); Schulden von Städten und Gemeinden: Bereitschaft zur Zahlung zusätzlicher Gebühren, damit die Wohngemeinde ohne neue Schulden auskommt und Höhe diese Betrages (klassiert); Bereitschaft, dem Zusammenschluss des eigenen Bundeslandes mit einem benachbarten Bundesland zuzustimmen; Meinung zur Selbstbestimmung der Steuerhöhe durch die Bundesländer; Meinung zur Finanzierung der Infrastrukturkosten in armen Regionen über einen gemeinsamen EU-Haushalt; Meinung zu EU-Krediten im Rahmen des Euro-Rettungsschirms für stark verschuldete Mitgliedsstaaten; Meinung zum Länderfinanzausgleich; Zugehörigkeit des eigenen Bundeslandes zu den Geberländern oder Nehmerländern; Meinung zu einem Gesetz zur Bildung von Rücklagen durch die Bundesländer für die Pensionen von Landesbeamten; Forderung nach staatlichen Maßnahmen zur Verringerung von Einkommensunterschieden; Akzeptanz von Steuerhinterziehung; Inflation in Deutschland: Einschätzung der Preisentwicklung für Lebensmittel und Kleidung allgemein und gemessen an den Erwartungen der Europäischen Zentralbank (EZB) (Inflationserwartung); erwarte jährliche Inflationsrate in fünf und in zehn Jahren (mittelfristige und langfristige Inflation); Beurteilung der Europäischen Zentralbank im Hinblick auf die Preisstabilität in der Eurozone; präferierte Kombination der Höhe von monatlichen Ausgaben und der Höhe einer Kreditrückzahlung; Rezeptionshäufigkeit von Nachrichten allgemein und von Nachrichten zum Thema Wirtschaft. Demographie: Geschlecht; Staatsbürgerschaft; Geburtsjahr (kategorisiert); höchster Schulabschluss; höchste berufliche Qualifikation; Familienstand; Haushaltsgröße; Erwerbsstatus; private Internetnutzung; Bundesland. Zusätzlich verkodet wurde: Interviewdatum; Jahr der Rekrutierung; Fragebogenevaluation; Beurteilung der Befragung insgesamt; eindeutige ID-Kennung, Haushalts-Kennung und Personen-Kennung innerhalb des Haushalts.

This project contains a city-level panel dataset of city revenue, expenses, and debt between the years 1924 and 1938, annually, derived from state archival records and the U.S. Census Bureau. All variables have been aggregated to the smallest comparable category – that is, if one state only reports “total taxes” while another splits taxes into different types, total taxes from the first and the sum from the second are reported here. Please get in touch with the principal investigator if you would like the disaggregated data (especially for Massachusetts and New York). Sample sizes vary from 519 to 819 cities per year.

The State Tax Revolt Data Set is a time-series, cross sectional data collection assembled from publicly available sources. It includes data on tax and expenditure limitation policies and selected covariates, observed annually for the 50 United States over the period of 1960-1992. Data were collected for variables both during the fiscal year and at the end of the fiscal year. Data collected at the end of the fiscal year include: (1) long-term and short-term debt of state and local governments, and (2) the total cash held by the state and its local governments. Data collected during the fiscal year include: (1) the total intergovernmental revenue from the federal government to the state and its local governments, (2) the total direct general revenue of the state and its local governments, (3) the total tax revenue of the state and its local governments, (4) total property tax revenue of the state and its local governments, (5) the total direct general expenditure of the state and its local governments, (6) the total direct general expenditure of the state and its local governments on "public welfare", (7) the total number of homeowners' associations in the state. Additional data were collected on: (1) the percentage of randomly sampled adults who said that the local property tax was "the worst tax--that is, the least fair", (2) the percentage of households in the state that were owner-occupied, the percentage of the state's population that the Census classified as "urban", (3) the estimated total personal income in the state, (4) the population of the state, (5) the estimated percentage of the state's population that was not White, (6) the estimated percentage of the state's population that was Black, (7) the total state and local spending on education during the fiscal year and, (8) the estimated number of union members as a percentage of the state's labor force.

This table represents fiscal year-to-date activity for the Federal Debt Managed by the Bureau of the Fiscal Service separated by Held by the Public and Intragovernmental Debt Holdings totaled by Principal, Accrued Interest Payable, and Net Unamortized Premiums/Discounts. All figures are rounded to the nearest million.

Debt-To-Assets-Ratio Time Series for Knight Transportation Inc. Knight-Swift Transportation Holdings Inc., together with its subsidiaries, provides freight transportation services in the United States and Mexico. The company operates through four segments: Truckload, Less-than-truckload (LTL), Logistics, and Intermodal. The Truckload segment provides transportation services, which include irregular route and dedicated, refrigerated, expedited, flatbed, and cross-border operations. This segment operates an average of 22,791 tractors, which includes 20,644 company tractors and 2,147 independent contractor tractors, as well as 92,831 trailers. The LTL segment offers regional LTL transportation services through a network of approximately 170 service centers; and national coverage through partner carrier outside the network. This segment operates an average of 3,569 tractors and 9,564 trailers. The Logistic segment provides brokerage and other freight management services through third-party transportation providers and equipment. The Intermodal segment offers transportation services, including freight through third-party intermodal rail services on trailing equipment, such as containers and trailers on flat cars; and drayage services. This segment operates an average of 615 tractors and 12,572 intermodal containers. The company also provides repair and maintenance shop, equipment leasing, warranty, and insurance services; and warehousing and driving academy services, as well as manufactures trailer parts. It serves retail, food and beverage, consumer and paper products, transportation and logistics, housing and building, automotive, and manufacturing industries. The company was incorporated in 1989 and is headquartered in Phoenix, Arizona.

This table represents monthly activity for the Federal Debt Managed by the Bureau of the Fiscal Service separated by Held by the Public and Intragovernmental Debt Holdings totaled by Principal, Accrued Interest Payable, and Net Unamortized Premiums/Discounts. All figures are rounded to the nearest million.

Total-Long-Term-Debt Time Series for XPO Logistics Inc. XPO, Inc., together with its subsidiaries, provides freight transportation services in the United States, North America, France, the United Kingdom, and rest of Europe. The company operates in two segments, North American Less-Than-Truckload (LTL) and European Transportation. The North American LTL segment provides shippers with geographic density and day-definite domestic and cross-border services to the U.S., Mexico, Canada, and the Caribbean. The European Transportation segment offers dedicated truckload, LTL, truck brokerage, managed transportation, last mile, freight forwarding, and warehousing and multimodal solutions, such as road-rail and road-short sea combinations to an extensive base of customers within the consumer, trade, and industrial markets. The company was formerly known as XPO Logistics, Inc. and changed its name to XPO, Inc. in December 2022. The company is based in Greenwich, Connecticut.

TIAS 14-929 cover memo. Visit https://dataone.org/datasets/sha256%3Abf21252d7dfeb8a174fb849064c4eb2fda7a7664cfcdb418ecf90daaf9a8d884 for complete metadata about this dataset.

KAV 7939 cover memo. Visit https://dataone.org/datasets/sha256%3Adb87476fd42983280afe679fc243dec7e9c5e8778cd44e0b216f806fae5ed500 for complete metadata about this dataset.