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 Indicators (OECD)

Country-level Measurements of General Government Debt

By OECD [source]

About this dataset

This dataset provides key indicators regarding the general government debt of OECD countries. These figures reflect the fact that an unfortunate portion of a country’s annual budget is allocated to repaying debt, and suggest different levels of financial stability across nations. By examining this data, we can observe fluctuations in public debt levels over time, as well as how various countries compare in terms of their general government debt buckets. Featuring monthly measurements for multiple years, these data points provide valuable insight into how borrowing affects the overall financial landscapes of the countries captured. Additionally, a convenient flag code system separately gauges the data’s accuracy and credibility to ensure that only reliable readings are observed

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How to use the dataset

• This dataset contains indicators on general government debt for OECD members and selected non-members. The indicators included in this dataset are useful in measuring country-level financial stability and understanding the sources of government financing. This dataset is a great resource for researchers, policy makers, and data journalists who are interested in analyzing trends in public finances across countries.

• The data is organized by twelve columns, which include LOCATION, INDICATOR, SUBJECT, MEASURE, FREQUENCY (annual or quarterly), TIME (year), Value (in national currency units where applicable) and Flag Codes which denote the accuracy of a given value’s measurement. To access specific information from this dataset such as a values or locations associated with particular indicators such as “Gross Debt of General Government” one can use the filtering options available to select specific regions that they want to compare against each other. The results page will show multiple graphs where users can export individual numbers or view/download all datasets related to particular subgroups based on their selection criteria. Additionally users can choose to generate tables if they wish to compare numerical results rather than graphical ones since each entry shows details up until 2018 along with values published over various years when available.

• It is important that users take note of any flag codes pertaining these datasets as this indicates why data may have been missing from specific points series entries under certain conditions thus providing additional context that should be good practice for comparative analysis purposes between different countries' results for instance. Finally we recommend that advanced users download directly and read through raw csv files provided at the link contained within this description so as to better understand how variables were recorded upon original entry though always keep current standards corresponding filtering column filter selection into account prior making any graphical comparison output interpretations without confirmation further details from more authoritative sources including national treasuries departments themselves if possible beforehand nature needed since all fields contained were originally filled out just once during collection process associated source year indicated at time entry only after has been approved management group curation following validation our accuracy protocols chosen site lastly once all said taken care creating memorable finalized looks report visualizations done easier all via software programs compatible kaggle now let's get started analyzing!

Research Ideas

• Computing gender-disaggregated government debt levels to reveal systemic imbalances such as gender inequality in government spending.
• Estimating the amount of money spent on infrastructure projects by specific OECD countries over a certain period of time.
• Modeling and predicting future macroeconomic trends in terms of general government debt, for use in investment and financial planning activities

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - **Give appropriate cr...

Portugal recorded a Government Debt to GDP of 93.60 percent of the country's Gross Domestic Product in 2024. This dataset provides - Portugal Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Policy decisions, and public preferences about them, often entail judgements about costs people should be willing to pay for the benefit of future generations. Economic analyses discount policies’ future benefits based on expectations about increasing standards of living, while empirical studies in psychology have found future-oriented people are more motivated to protect the environment. In this article, using original surveys and survey experiments in four countries—Sweden, Spain, South Korea, and China—we show that support for future-oriented policies also strongly reflects people’s political trust. Focusing on policies for reducing either global warming or public debt, we find political trust operates on attitudes by shaping people’s (a) confidence in policies’ effectiveness and (b) willingness to sacrifice for others. The influence of political trust outweighs that of subjective concern, while discounting has so little impact that people who expect future generations to be richer are more, not less, willing to sacrifice.

External Debt in Argentina increased to 305043 USD Million in the second quarter of 2025 from 281259 USD Million in the first quarter of 2025. This dataset provides - Argentina External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains information on the finances of the general government sector. The terms and definitions used are in accordance with the framework of the National Accounts. The National Accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of the National Accounts may occur due to the fact that the government finance statistics are sometimes more up to date.

Data available from: Yearly figures from 1995, quarterly figures from 1999.

Status of the figures: The figures for the period 1995-2022 are final. The quarterly figures for 2023 are provisional. The annual figures for 2023 are final. The figures for 2024 and 2025 are provisional.

Changes as of 23 September 2025: The figures for the second quarter of 2025 are available. The figures for the first of quarter 2025 are revised. (Seasonal adjusted) government revenue, (seasonal adjusted) government expenditure and (seasonal adjusted) balance of general government have been adjusted.

Changes as of 10 April 2025: Due to an error made while processing the data, the initial preliminary figures for government expenditure in 2024 were calculated incorrectly, which means that the figure published for the general government balance was also incorrect. It concerns a decrease in government expenditure. Therefore, the general government balance is 2.3 billion euros higher than originally reported. This means the government deficit is equivalent to 0.9 percent of GDP, rather than the 1.1 percent published previously. (Seasonal adjusted) government revenue, (seasonal adjusted) government expenditure and (seasonal adjusted) balance of general government have been adjusted.

When will new figures be published? Initial quarterly figures are published three months after the end of the quarter. In September the figures on the first quarter are revised, in December the figures on the second quarter are revised and in March the first three quarters are revised. Yearly figures are published for the first time three months after the end of the year concerned. Yearly figures are revised two times: 6 and 18 months after the end of the year. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the latest figures. Revised yearly figures are published in June each year. Quarterly figures are aligned to revised years at the end of June. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

Debt-To-Assets-Ratio Time Series for Amedisys Inc. Amedisys, Inc. provides healthcare services in the United States. It operates through three segments: Home Health, Hospice, and High Acuity Care. The Home Health segment provides a range of services in the homes of individuals for the recovery of patients from surgery, chronic disability, or illness, as well as prevents avoidable hospital readmissions through its skilled nurses; nursing services, rehabilitation therapists specialized in physical, speech, and occupational therapy; and social workers and aides for assisting its patients. The Hospice segment offers services that is designed to provide comfort and support for those who are dealing with a terminal illness, including cancer, heart disease, pulmonary disease, or Alzheimer's. The High Acuity Care offers essential elements of inpatient hospital, skilled nursing facility care, and palliative care to patients in their homes. Amedisys, Inc. was formerly known as Analytical Nursing Management Corp. and changed its name to Amedisys, Inc. in August 1995. The company was founded in 1982 and is headquartered in Baton Rouge, Louisiana with an additional office in Nashville, Tennessee. As of August 14, 2025, Amedisys, Inc. operates as a subsidiary of Optum, Inc.

Abstract copyright UK Data Service and data collection copyright owner.

The project’s main aims:
1.To contribute to knowledge by engaging in a study of the relationship between Australia, New Zealand and international capital markets 1850-1950 which would focus on three key themes:
i.The history of Australia and New Zealand as borrowers and debtors.
ii.The rise and consolidation of the British 'colonial' market in the London capital market from the mid-nineteenth century to the late 1920s.
iii.The interaction between the market disciplines to which all borrowers were subject, and the opportunities and constraints created by membership of the British Empire.
The study would also evaluate recent arguments (Cain and Hopkins, 1993) about the role of the City of London in the dynamics of British imperial expansion and control with respect to two British settler societies, Australia and New Zealand.
2.To extend and revise the statistics of Australasian public debt in the period 1850-1950.
3.To create a database of Australasian overseas public loans during that period.

The project’s specific objectives were to complete three stages of research:
1.The consultation of archival and printed official sources in the United Kingdom and Australia relating to Australasian borrowing activity and relations with overseas creditors during nineteenth century. These either had not been available to, or were not consulted by, earlier historians.
2.The collection of quantitative data for revised statistics of Australian and New Zealand public debt between 1850 and 1950.
3.The collection of data for a database of Australasian overseas public loans during that period.

Main Topics:

The database contains a record of every Australasian government loan offered in London by public advertisement between the first such issue in 1857 and 1914. The governments concerned are those of the seven British colonies of New South Wales, New Zealand, Queensland, South Australia, Tasmania, Victoria and Western Australia, and the four New Zealand provincial administrations of Auckland, Canterbury, Otago and Wellington which also attempted to raise capital by this means. There are no records of loans floated by the Commonwealth of Australia (the federal government created in 1901) because its first issue in London did not occur until 1916. Purely conversion operations in which holders were offered the exchange of new securities for old have been excluded. The dataset provides information about the activities of a significant group of borrowers in the London capital market during its rise and prime as the dominant international financial centre in the world economy. It contains details about the characteristics of all publicly advertised loan issues; their marketing arrangements; and their results. It therefore can be used to examine the way in which Australasian borrowers approached the London market, the success with which they did this, and the ways in which both changed over time. It can be used for comparison with the activity of other borrowers. More broadly, it contributes to our understanding of development of the London capital market during the period.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

The yield on US 10 Year Note Bond Yield rose to 4.12% on December 2, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has remained flat, and it is 0.11 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 10 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on December of 2025.

Die Kurzumfrage über aktuelle Fragen zu Staatsausgaben und Staatsschulden wurde vom Meinungsforschungsinstitut forsa im Auftrag des Presse- und Informationsamtes der Bundesregierung durchgeführt. Im Erhebungszeitraum 18.03.2024 bis 20.03.2024 wurde die deutschsprachige Bevölkerung ab 14 Jahren in telefonischen Interviews (CATI) zu ihren Einstellungen zu Staatsausgaben und Staatsschulden befragt. Insbesondere geht es um die Bewertung der Schuldenbremse bzw. um verschiedene Möglichkeiten, sie zu reformieren. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsstichprobe im Rahmen einer Mehrthemenbefragung (Politik-BUS) unter Einschluss von Festnetz- und Mobilfunknummern (Dual-Frame Stichprobe). Bewertung der finanziellen Lage Deutschlands insgesamt bezogen auf Einnahmen und Ausgaben; Einschätzung der Schuldenlast Deutschlands im Vergleich zu den meisten anderen Industriestaaten; Meinung zu Staatsschulden (Schulden des Staates sollten grundsätzlich vermieden werden, sind grundsätzlich kein Problem, sind nur dann sinnvoll, wenn sie für Investitionen für die Zukunft eingesetzt werden); Staat gibt zu viel vs. zu wenig Geld aus für verschiedene politische und gesellschaftliche Aufgaben (Gesundheit und Pflege, Verteidigung, Soziales, Klimaschutz, Wohnungsbau, Integration von Zugewanderten, Renten); Meinung zur Neuaufnahme größerer Kredite durch den Staat nur in außergewöhnlichen Notsituationen wie z.B. Naturkatastrophen (Schuldenbremse sollte so bestehen bleiben wie sie ist, sie sollte reformiert werden oder sie sollte vollständig abgeschafft werden); Bewertung verschiedener Vorschläge zur Reform der Schuldenregelung (die Schuldengrenze verändern, damit der Staat generell mehr Schulden aufnehmen kann als bisher, eine Übergangsregel schaffen, sodass man auch im Jahr nach einer Notsituation noch etwas mehr Kredite aufnehmen kann als gewöhnlich, die Aufnahme höherer Schulden erlauben, wenn die Wirtschaftslage schlechter ist als erwartet, die Aufnahme höherer Schulden erlauben für Verteidigungsausgaben, die Aufnahme höherer Schulden erlauben für Investitionen in den Klimaschutz, die Aufnahme höherer Schulden erlauben für Investitionen in die Infrastruktur wie Straßen und Schienen). Demographie: Geschlecht; Alter; Bildung; Einkommenslage niedrig, mittel, hoch (Nettoäquivalenzeinkommen); Ortsgröße; Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl. Zusätzlich verkodet wurde: Befragten ID; Region West/Ost; Gewichtungsfaktor. The short survey on current issues relating to government spending and public debt was conducted by the opinion research institute forsa on behalf of the Press and Information Office of the Federal Government. In the survey period from 18.03.2024 to 20.03.2024, the German-speaking population aged 14 and over was asked in telephone interviews (CATI) about their attitudes to government spending and government debt. In particular, the focus is on the assessment of the debt brake and various options for reforming it. Respondents were selected using a multi-stage random sample as part of a multi-topic survey (policy BUS) including landline and mobile phone numbers (dual-frame sample). Assessment of Germany´s overall financial situation in terms of income and expenditure; assessment of Germany´s debt burden compared to most other industrialized countries; opinion on government debt (government debt should generally be avoided, is generally not a problem, only makes sense if it is used for investments for the future); government spends too much vs. too little money on various political and social tasks (health and care, defense, social affairs, climate protection, housing, integration of immigrants, pensions); opinion on the state only taking out new larger loans in exceptional emergency situations such as natural disasters (debt brake should remain as it is, it should be reformed or it should be abolished completely); evaluation of various proposals for reforming the debt regulation (change the debt limit so that the state can generally take on more debt than before, create a transitional rule so that even in the year following an emergency situation it is still possible to take on slightly more debt than usual, allow higher debt to be taken on if the economic situation is worse than expected, allow higher debt to be taken on for defense spending, allow higher debt to be taken on for investments in climate protection, allow higher debt to be taken on for investments in infrastructure such as roads and railways). Demography: sex; age; education; income level low, medium, high (net equivalent income); city size; party preference in the next federal election; voting behavior in the last federal election. Additionally coded were: Respondent ID; region west/east; weighting factor. Telephone interview: CATI Deutschsprachige Bevölkerung ab 14 Jahren mit einem Festnetz- oder Mobilfunkanschluss German-speaking population aged 14 and over with a landline or mobile phone connection. Wahrscheinlichkeitsauswahl: Mehrstufige Zufallsauswahl; Auswahlverfahren Kommentar: Bei der Auswahl der Befragungsteilnehmer im Rahmen der forsa-Mehrthemenumfrage (Politik-BUS) werden sowohl Festnetz- als auch Mobilfunknummern einbezogen. Die Stichprobenbildung erfolgt daher auf der Grundlage einer kombinierten Festnetz- und Mobilfunkstichprobe (sog. ADM Dual-Frame-Design). Das Verhältnis der Interviews, die über den Mobil-Auswahlrahmen gewonnen werden, zu denen, die über den Festnetzrahmen gewonnen werden, beträgt 30:70. Die Auswahl der Teilnehmer mit einem Festnetzanschluss erfolgt durch eine mehrfach geschichtete, mehrstufige Zufallsstichprobe auf Basis des ADM-Telefonstichproben-Systems. Die Auswahlgrundlage ist das so genannte ADM-Telefon-Mastersample. Ist ein Haushalt mit Festnetzanschluss auf Basis des ADM-Telefon-Mastersamples ausgewählt, so erfolgt auf der zweiten Stufe des Auswahlprozesses die Auswahl der zu befragenden Person innerhalb des Haushalts. Handelt es sich um einen Ein-Personen-Haushalt, so steht die Befragungsperson bereits eindeutig fest. Leben mehrere Personen der Grundgesamtheit im Haushalt, so ermittelt der Interviewer die zu befragende Person mithilfe der sogenannten Geburtstagsmethode.

Der Krisenmonitor wird vom Meinungsforschungsinstitut forsa im Auftrag des Presse- und Informationsamtes der Bundesregierung seit Kalenderwoche 1/2023 regelmäßig durchgeführt. Der Krisenmonitor ist die Fortsetzung der im Zeitraum von Kalenderwoche 13/2022 bis 50/2022 regelmäßig von forsa durchgeführten repräsentativen Bevölkerungsbefragungen Trendfragen Ukraine zum Thema Deutschland und der Ukraine-Krieg. Die einzelnen Fragengebiete wurden je nach Befragungszeitraum angepasst. Im Erhebungszeitraum 11.12.2023 bis 13.12.2023 wurde die deutschsprachige Wohnbevölkerung ab 14 Jahren in telefonischen Interviews (CATI) befragt. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsstichprobe. Stärke der persönlichen Belastung durch die aktuelle Situation rund um die derzeitigen Krisen in Deutschland; Entwicklungen in Deutschland, die persönlich am meisten Sorgen bereiten; Meinung zum Streitmaß in wichtigen politischen Fragen (es wird zu viel, zu wenig oder gerade richtig gestritten); Sorgen über eine Verschlechterung der eigenen finanziellen Situation bzw. des Haushalts im Zusammenhang mit Diskussionen über den Bundeshaushalt; Bereiche, in denen durch die angespannte Haushaltslage konkret eine Verschlechterung der eigenen finanziellen Situation befürchtet wird (offen); Sorgen darüber hinaus (dass notwendige Ausgaben für die Zukunftsfähigkeit Deutschlands unterbleiben, Kürzung von Sozialausgaben, Steuererhöhungen, Staatsverschuldung, zunehmende Politikverdrossenheit, Zerbrechen der Regierungskoalition und keine stabilen Mehrheiten im Bundestag); in der letzten Zeit Konsum- und Einkaufsverhalten eingeschränkt; Bereiche des Alltags mit finanziellen Einschränkungen. Demographie: Geschlecht; Alter (gruppiert); Erwerbstätigkeit; Bildung; Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl; Einkommenslage niedrig, mittel, hoch, Rest (Nettoäquivalenzeinkommen). Zusätzlich verkodet wurde: Region West/Ost; Bundesland; Gewichtungsfaktor. The Crisis Monitor has been conducted regularly by the opinion research institute forsa on behalf of the Press and Information Office of the Federal Government since calendar week 1/2023. The Crisis Monitor is the continuation of the representative population surveys conducted regularly by forsa from calendar week 13/2022 to 50/2022 on the topic of Germany and the war in Ukraine. The individual question areas were adjusted depending on the survey period. In the survey period from 11.12.2023 to 13.12.2023, the German-speaking resident population aged 14 and over was surveyed in telephone interviews (CATI). Respondents were selected using a multi-stage random sample. Level of personal stress caused by the current situation surrounding the current crises in Germany; developments in Germany that personally cause the most concern; opinion on the level of controversy on important political issues (there is too much, too little or just the right amount of controversy); concerns about a deterioration in one´s own financial situation or budget in connection with discussions about the federal budget; areas in which one specifically fears a deterioration in one´s own financial situation as a result of the tense budget situation (open); concerns beyond this (that necessary (open); worries about a deterioration in their own financial situation or the budget in connection with discussions about the federal budget; areas in which they specifically fear a deterioration in their own financial situation due to the tight budget situation (open); worries beyond this (that necessary expenditure for the future viability of Germany will not be made, cuts in social spending, tax increases, national debt, increasing disenchantment with politics, break-up of the governing coalition and no stable majorities in the Bundestag); recently restricted consumer and shopping behavior; areas of everyday life with financial restrictions. Demography: sex; age (grouped); employment; education; party preference in the next federal election; voting behavior in the last federal election; income situation low, medium, high, residual (net equivalent income). Additionally coded were: West/East region; federal state; weighting factor. Telephone interview: CATI Deutschsprachige Wohnbevölkerung ab 14 Jahren German-speaking resident population aged 14 and over

The yield on Japan 10Y Bond Yield eased to 1.86% on December 2, 2025, marking a 0.02 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.20 points and is 0.78 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 10 Year Government Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

The 2015-16 Budget is officially available at budget.gov.au as the authoritative source of Budget Papers and Portfolio Budget Statement (PBS) documents. This dataset is a collection of data sources from the 2015-16 Budget, including:

• The Portfolio Budget Statement Excel spreadsheets – Available after PBSs tabled in the Senate (~8.30pm Budget night).
• A Machine Readable CSV of all PBS Excel Spreadsheet Line Items – Available after PBSs tabled in the Senate and translated (~8.30pm Budget night).

Data from the 2015-16 Budget are provided to assist those who wish to analyse, visualise and programmatically access the 2015-16 Budget.

Data users should refer to footnotes and memoranda in the original files as these are not usually captured in machine readable CSVs.

We welcome your feedback and comments below.

This dataset was prepared by the Department of Finance and the Department of the Treasury.

Information about the PBS Excel files and CSV

The PBS Excel files published should include the following financial tables with headings and footnotes. Only the line item data (table 2.2) is available in CSV at this stage. Much of the other data is also available in the Budget Papers 1 and 4 in aggregate form:

• Table 1.1: Entity Resource Statement;
• Table 1.2: Entity 2015-16 Budget Measures;
• Table 2.1: Budgeted Expenses for Outcome X;
• Table 2.2: Programme Expenses and Programme Components.
• Table 3.1.1: Movement of Administered Funds Between Years;
• Table 3.1.2: Estimates of Special Account Flows and Balances;
• Table 3.1.3: Australian Government Indigenous Expenditure (AGIE);
• Tables 3.2.1 to 3.2.6: Departmental Budgeted Financial Statements; and
• Tables 3.2.7 to 3.2.11: Administered Budgeted Financial Statements.

Please note, total expenses reported in the CSV file ‘2015-16 PBS line items dataset’ was prepared from individual entity programme expense tables. Totalling these figures does not produce the total expense figure in ‘Table1: Estimates of General Government Expenses’ (Statement 6, Budget Paper 1).

Differences relate to:

1. Intra entity charging for services which are eliminated for the reporting of general government financial statements;
2. Entity expenses that involve revaluation of assets and liabilities are reported as other economic flows in general government financial statements; and
3. Additional entities’ expenses are included in general government sector expenses (e.g. Australian Strategic Policy Institute Limited and other entities) noting that only entities that are directly government funded are required to prepare a PBS.

The original PBS Excel files and published documents include sub-totals and totals by entity and appropriation type which are not included in the line item CSV. These can be calculated programmatically. Where modifications are identified they will be updated as required.

If a corrigendum to an entities PBS is issued after budget night, tables will be updated as necessary.

The structure of the line item CSV is;

• Portfolio
• Department/Entity
• Outcome
• Program
• Expense type
• Appropriation type
• Description
• 2014-15
• 2015-16
• 2016-17
• 2017-18
• 2018-19
• Source document
• Source table
• URL

The data transformation is expected to be complete by midday 13 May. We may put up an incomplete CSV which will continue to be updated as additional PBSs are transformed into data form.

The following Portfolios are included in the line item CSV:

• Agriculture
• Attorney General's
• Communications
• Defence
• Education and Training
• Employment
• Environment
• Finance
• Foreign Affairs and Trade
• Health
• Human Services
• Immigration and Border Protection
• Industry and Science
• Infrastructure and Regional Development
• Parliamentary Departments
• Prime Minister and Cabinet
• Social Services
• Treasury
• Veterans' Affairs

Budget Paper Tables

We have made a number of data tables from the Budget Papers available in Excel and CSV formats.

Below is the list of the tables published and whether we’ve translated them into CSV form this year:

• Budget Paper 1: Appendix A1 - Estimates of expenses by function and sub‑function
• Budget Paper 1: Overview - Appendix C Major Intiatives
• Budget Paper 1: Overview - Appendix D Major Savings
• Budget Paper 1: Statement 3 - Table 7: Reconciliation of underlying cash balance estimates
• Budget Paper 1: Statement 4 - Table 1: Australian Government general government receipts
• Budget Paper 1: Statement 4 - Table 7: Australian Government general government (cash) receipts
• Budget Paper 1: Statement 4 - Table 10: Reconciliation of 2015‑16 general government (accrual) revenue
• Budget Paper 1: Statement 4 - Supplementary table 3: Australian Government (accrual) revenue
• Budget Paper 1: Statement 10 - Table 1: Australian Government general government sector receipts, payments, net Future Fund earnings and underlying cash balance
• Budget Paper 1: Statement 10 - Table 4: Australian Government general government sector taxation receipts, non‑taxation receipts and total receipts
• Budget Paper 1: Statement 10 - Table 5: Australian Government general government sector net debt and net interest payments
• Budget Paper 4 Table 1.1 – Agency Resourcing
• Budget Paper 4 Table 1.2 – Special Appropriations
• Budget Paper 4 Table 1.3 – Special Accounts
• Budget Paper 4 Table 2.2 – Staffing Tables
• Budget Paper 4 Table 3.1 – Departmental Expenses
• Budget Paper 4 Table 3.2 – Net Capital Investment

Change Log

1. 22:30PM 12/05/2015 dataset first published
2. 09:00 13/05/2015 machine readable csv updated to include data from National Museum of Australia, Australian Aged Care Quality Agency & Australian Institute of Family Studies.
3. 15:30 13/05/2015 machine readable csv updated to include a column linking to resource file and fixed a few minor errors.
4. 16:00 14/05/2015 have added several selected transformed tables from Budget Paper 4.
5. 12:30 18/05/2015 several minor updates to CSV.
6. 16:00 03/06/2015 added several machine readable Budget Paper 1 tables prepared by Department of the Treasury.

The yield on United Kingdom 10Y Bond Yield rose to 4.51% on December 2, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.07 points and is 0.26 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. UK 10 Year Gilt Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

Total-Long-Term-Debt Time Series for Welltower Inc. Welltower Inc. (NYSE: WELL), an S&P 500 company, is one of the world's preeminent residential wellness and healthcare infrastructure companies. We seek to position our portfolio of 1,500+ seniors and wellness housing communities at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also strive to support physicians in our outpatient medical buildings with the critical infrastructure needed to deliver quality care. We believe our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper, driven by relationships and an unconventional culture. Through our disciplined approach to capital allocation powered by our Data Science platform and superior operating results driven by our operating platform, the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors " our North Star.

Funds-From-Operation-To-Total-Debt Time Series for Addus HomeCare Corporation. Addus HomeCare Corporation, together with its subsidiaries, provides personal care services to elderly, chronically ill, disabled persons, and individuals who are at risk of hospitalization or institutionalization in the United States. It operates through three segments: Personal Care, Hospice, and Home Health. The Personal Care segment provides non-medical assistance with activities of daily living. This segment offers services that include assistance with bathing, grooming, oral care, feeding and dressing, medication reminders, meal planning and preparation, housekeeping, and transportation services. The Hospice segment provides palliative nursing care, social work, spiritual counseling, homemaker, and bereavement counseling services for people who are terminally ill, as well as related services for their families. The Home Health segment offers skilled nursing and physical, occupational, and speech therapy for the individuals who requires assistance during an illness or after hospitalization. The company serves federal, state, and local governmental agencies; managed care organizations; commercial insurers; and private individuals. Addus HomeCare Corporation was founded in 1979 and is headquartered in Frisco, Texas.

Total-Debt-To-Ebitda Time Series for Pennant Group Inc. The Pennant Group, Inc. provides healthcare services in the United States. It operates in two segments, Home Health and Hospice Services, and Senior Living Services. The company offers home health services, including clinical services, such as nursing, speech, occupational and physical therapy, medical social work, and home health aide services; and hospice services comprising clinical care, education, and counseling services for the physical, spiritual, and psychosocial needs of terminally ill patients and their families. It also provides senior living services, such as residential accommodations, activities, meals, housekeeping, and assistance in the activities of daily living to seniors who are independent or who require some support. The company operates home health, hospice, and home care agencies, as well as senior living communities in Arizona, California, Colorado, Idaho, Montana, Nevada, Oklahoma, Oregon, Texas, Utah, Washington, Wisconsin, and Wyoming. The Pennant Group, Inc. was incorporated in 2019 and is headquartered in Eagle, Idaho.

Short-Term-Debt Time Series for CubeSmart. CubeSmart is a self-administered and self-managed real estate investment trust. As of June 30, 2025, CubeSmart owned or managed 1,532 self-storage properties across the United States. According to the 2025 Self Storage Almanac, CubeSmart is one of the top three owners and operators of self-storage properties in the U.S. The Company's mission is to simplify the organizational and logistical challenges created by the many life events and business needs of its customers through innovative solutions, unparalleled service, and genuine care. The Company's self-storage properties are designed to offer affordable, easily accessible, and, in most locations, climate-controlled storage space for residential and commercial customers.

Funds-From-Operation-To-Total-Debt Time Series for Lifevantage Corporation. LifeVantage Corporation engages in the identification, research, development, formulation, and sale of advanced nutrigenomic activators, dietary supplements, nootropics, weight management, pre- and pro-biotics and skin and hair care products. It offers Protandim, a dietary supplement; LifeVantage Omega+, a dietary supplement that combines DHA and EPA Omega-3 and Omega-7 fatty acids, and vitamin D3; LifeVantage ProBio, a dietary supplement to support gut health; LifeVantage IC Bright, a supplement to support eye and brain health, reduce eye fatigue and strain, supports cognitive functions, and support normal sleep patterns; LifeVantage Daily Wellness, a dietary supplement to strengthen immune health; LifeVantage Rise AM & Reset PM System that provides the body with the right nutrients; LifeVantage D3+, a dietary supplement that provides vitamin D3 and K2, magnesium, calcium, and other trace minerals to support a balanced immune system, strong bones, and cardiovascular health; PhysIQ Fat Burn to support weight management; PhysIQ Prebiotic is a dietary supplement designed to support the good bacteria in the gut and a healthy microbiome; MindBody GLP-1 System, a dietary supplement that combines two products, MB Core and MB Enhance, which are designed to support weight management and wellness by activating GLP-1 naturally and balancing signals along the gut-brain axis; Petandim for Dogs, a supplement to combat oxidative stress in dogs; and Axio, a nootropic energy drink mix. It also provides anti-aging skin care products, such as liquid collagen, facial cleansers, eye cream, moisturizing cream, sunscreen, perfecting lotions, hand creams, as well as shampoos, nourishing conditioners, and scalp serums under the TrueScience brand name. It sells its products through its website and network of independent consultants. LifeVantage Corporation is based in Lehi, Utah.

Net-Buyback-Yield Time Series for Golub Capital BDC Inc. Golub Capital BDC, Inc. (GBDC) is a business development company and operates as an externally managed closed-end non-diversified management investment company. It invests in debt and minority equity investments in middle-market companies that are, in most cases, sponsored by private equity investors. It typically invests in diversified consumer services, automobiles, healthcare technology, insurance, health care equipment and supplies, hotels, restaurants and leisure, healthcare providers and services, IT services and specialty retails. It seeks to invest in the United States. It primarily invests in first lien traditional senior debt, first lien one stop, junior debt and equity, senior secured, one stop, unitranche, second lien, subordinated and mezzanine loans of middle-market companies, and warrants.