100+ datasets found
  1. T

    HOUSEHOLDS DEBT TO INCOME by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 29, 2015
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    TRADING ECONOMICS (2015). HOUSEHOLDS DEBT TO INCOME by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/households-debt-to-income
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 29, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

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

  2. World Bank: International Debt Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: International Debt Data [Dataset]. https://www.kaggle.com/datasets/theworldbank/world-bank-intl-debt
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    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    World Bankhttps://www.worldbank.org/
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

    Content

    This dataset contains both national and regional debt statistics captured by over 200 economic indicators. Time series data is available for those indicators from 1970 to 2015 for reporting countries.

    For more information, see the World Bank website.

    Fork this kernel to get started with this dataset.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_intl_debt

    https://cloud.google.com/bigquery/public-data/world-bank-international-debt

    Citation: The World Bank: International Debt Statistics

    Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by @till_indeman from Unplash.

    Inspiration

    What countries have the largest outstanding debt?

    https://cloud.google.com/bigquery/images/outstanding-debt.png" alt="enter image description here"> https://cloud.google.com/bigquery/images/outstanding-debt.png

  3. T

    PRIVATE DEBT TO GDP by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). PRIVATE DEBT TO GDP by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/private-debt-to-gdp
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    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.

  4. T

    GOVERNMENT DEBT TO GDP by Country in EUROPE/1000

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 11, 2024
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    TRADING ECONOMICS (2024). GOVERNMENT DEBT TO GDP by Country in EUROPE/1000 [Dataset]. https://tradingeconomics.com/country-list/government-debt-to-gdp?continent=europe/1000
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

    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.

  5. T

    GOVERNMENT DEBT TO GDP by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). GOVERNMENT DEBT TO GDP by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/government-debt-to-gdp?continent=asia
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Asia
    Description

    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.

  6. Historical Debt Outstanding

    • fiscaldata.treasury.gov
    csv, json, xml
    Updated Apr 7, 2022
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    U.S. DEPARTMENT OF THE TREASURY (2022). Historical Debt Outstanding [Dataset]. https://fiscaldata.treasury.gov/datasets/historical-debt-outstanding/
    Explore at:
    xml, csv, jsonAvailable download formats
    Dataset updated
    Apr 7, 2022
    Dataset provided by
    United States Department of the Treasuryhttps://treasury.gov/
    Authors
    U.S. DEPARTMENT OF THE TREASURY
    Time period covered
    Jan 1, 1790 - Sep 30, 2024
    Description

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

  7. Debt to the Penny

    • fiscaldata.treasury.gov
    csv, json, xml
    Updated Apr 12, 2022
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    U.S. DEPARTMENT OF THE TREASURY (2022). Debt to the Penny [Dataset]. https://fiscaldata.treasury.gov/datasets/debt-to-the-penny/
    Explore at:
    json, csv, xmlAvailable download formats
    Dataset updated
    Apr 12, 2022
    Dataset provided by
    United States Department of the Treasuryhttps://treasury.gov/
    Authors
    U.S. DEPARTMENT OF THE TREASURY
    Time period covered
    Apr 1, 1993 - Jul 29, 2025
    Description

    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).

  8. e

    Current Questions on Government Spending and Public Debt (March 2024) -...

    • b2find.eudat.eu
    Updated Mar 15, 2024
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    (2024). Current Questions on Government Spending and Public Debt (March 2024) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/8925d133-c567-55b9-baaa-53d7268b34b4
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    Dataset updated
    Mar 15, 2024
    Description

    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. 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.

  9. T

    United States Gross Federal Debt to GDP

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Gross Federal Debt to GDP [Dataset]. https://tradingeconomics.com/united-states/government-debt-to-gdp
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1940 - Dec 31, 2024
    Area covered
    United States
    Description

    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.

  10. m

    External_Debt_Stocks_Total_$ - Haiti

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2023
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    macro-rankings (2023). External_Debt_Stocks_Total_$ - Haiti [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/External-Debt-Stocks-Total-$/Haiti
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Haiti
    Description

    Time series data for the statistic External_Debt_Stocks_Total_$ and country Haiti. Indicator Definition:Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars.The statistic "External Debt Stocks Total $" stands at 2,637,609,831.70 Haitian Gourdes as of 12/31/2023, the highest value at least since 12/31/1971, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.97 percent compared to the value the year prior.The 1 year change in percent is 2.97.The 3 year change in percent is 13.77.The 5 year change in percent is 18.82.The 10 year change in percent is 68.07.The Serie's long term average value is 1,101,348,455.47 Haitian Gourdes. It's latest available value, on 12/31/2023, is 139.49 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1971, to it's latest available value, on 12/31/2023, is +5,171.32%.The Serie's change in percent from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0%.

  11. F

    Federal Debt: Total Public Debt

    • fred.stlouisfed.org
    json
    Updated Jun 3, 2025
    + more versions
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    (2025). Federal Debt: Total Public Debt [Dataset]. https://fred.stlouisfed.org/series/GFDEBTN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  12. List_of_countries_by_future_gross_government_debt

    • kaggle.com
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_countries_by_future_gross_government_debt [Dataset]. https://www.kaggle.com/mathurinache/list-of-countries-by-future-gross-government-debt/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 17, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_future_gross_government_debt. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  13. Data from: CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++

    • zenodo.org
    zip
    Updated May 31, 2025
    + more versions
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    Phuoc Pham; Phuoc Pham; Murali Sridharan; Murali Sridharan; Matteo Esposito; Matteo Esposito; Valentina Lenarduzzi; Valentina Lenarduzzi (2025). CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++ [Dataset]. http://doi.org/10.5281/zenodo.15562944
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    zipAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Phuoc Pham; Phuoc Pham; Murali Sridharan; Murali Sridharan; Matteo Esposito; Matteo Esposito; Valentina Lenarduzzi; Valentina Lenarduzzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    CppSATD is the first dataset of Self-Admitted Technical Debt (SATD) comments that focuses on C++ projects, one of the most widely-used programming languages. In addition to multi-class SATD annotations, the dataset also captures source code context around each comment, offering valuable insight into where and how SATD occurs in practice.

    CppSATD is currently the largest multi-type SATD dataset with contextual source code, consisting of over 531,000 annotated comments, including more than 13,000 manually classified SATD instances.

    Contents

    FileDescription
    data_and_scripts.zipContains the full CppSATD dataset (cppsatd.csv), the manually annotated subset (manual_annotations.csv), and the Python extraction scripts with pattern files (cppsatd.data.extraction.zip).
    repos.zipSource code of the 5 C++ repositories from which SATD comments were extracted.
    Annotation_Reference_Document.pdfGuideline document used to ensure consistent annotation of SATD types among annotators.

    SATD Types Covered

    • Design/Code Debt
    • Requirement Debt
    • Defect Debt
    • Test Debt
    • Documentation Debt

    Each comment is labeled as one of the above SATD types or marked as NON-SATD.

    How to Use

    1. Explore Annotations: Use cppsatd.csv to analyze comment distributions, frequencies, and types.
    2. Use Manual Labels: Rely on manual_annotations.csv for high-quality ground truth data in training or evaluation.
    3. Reproduce Extraction: Refer to cppsatd.data.extraction.zip to understand or replicate the data collection and pattern matching process.
    4. Inspect Repos: Use repos.zip if you want to see the actual C++ projects and their corresponding comments.

    Checksums

    A SIGNATURES.MD file is included to ensure the integrity of all files in this replication package. You can verify the data_and_scripts.zip using its corresponding MD5, SHA1, or SHA256 digest.

    Contact

    For questions, suggestions, or collaboration inquiries, please contact the dataset authors.

  14. T

    United States Government Debt

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Government Debt [Dataset]. https://tradingeconomics.com/united-states/government-debt
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1942 - Jun 30, 2025
    Area covered
    United States
    Description

    Government Debt in the United States decreased to 36211469 USD Million in June from 36215818 USD Million in May of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. m

    Apple Hospitality REIT Inc - Short-Term-Debt

    • macro-rankings.com
    csv, excel
    Updated Jul 21, 2025
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    macro-rankings (2025). Apple Hospitality REIT Inc - Short-Term-Debt [Dataset]. https://www.macro-rankings.com/markets/stocks/aple-nyse/balance-sheet/short-term-debt
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Short-Term-Debt Time Series for Apple Hospitality REIT Inc. Apple Hospitality REIT, Inc. (NYSE: APLE) is a publicly traded real estate investment trust ("REIT") that owns one of the largest and most diverse portfolios of upscale, rooms-focused hotels in the United States. Apple Hospitality's portfolio consists of 220 hotels with approximately 29,800 guest rooms located in 85 markets throughout 37 states and the District of Columbia. Concentrated with industry-leading brands, the Company's hotel portfolio consists of 97 Marriott-branded hotels, 117 Hilton-branded hotels, five Hyatt-branded hotels and one independent hotel.

  16. c

    Government; debt guarantees, off-balance PPP, non-performing loans

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Nov 7, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (2024). Government; debt guarantees, off-balance PPP, non-performing loans [Dataset]. https://www.cbs.nl/en-gb/figures/detail/82823ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2023
    Area covered
    The Netherlands
    Description

    This table comprises figures related to debt guarantees provided by the general government sector, adjusted capital value of off-balance sheet public private partnerships (PPP), and non-performing loans. The figures are also available per government subsector, and are taken from end-of-year balance sheets. The non-performing loans are consolidated which means that loans between units that belong to the same sector are eliminated. As a result, non-performing loans of subsectors do not add up to total non-performing loans of general government. For example, loans of the State provided to local government are part of loans of the State. However, these are not included in the consolidated loans of general government, because it is an asset of a government unit with a government unit as debtor. Publication of this table meets one of the requirements of Directive EU 2011/85, part of the Enhanced Economic Governance package ("Sixpack") adopted by the European Council in 2011.

    Data available from: situation on 31 December 2010.

    Status of the figures: The figures for 2023 are provisional. The figures for the earlier years are final.

    Changes as of 7 November 2024: Provisional figures for 2023 have been published. The figures for 2022 have become final. The figures for the period of 2010-2021 have been revised in the context of the revision policy of National accounts. The largest revision at the level of central government is mainly due to the reclassification of two guarantee funds Waarborgfonds Sociale Woningbouw (WSW) and Waarborgfonds Eigen Woningen (WEW) within this governmental sector.

    When will new figures be published? New provisional figures for the previous year will be published in October. Previous provisional figures will then become definite. More information on the revision policy of National Accounts can be found under "Relevant articles" under paragraph 3.

  17. e

    Own debt

    • data.europa.eu
    csv, json
    Updated Nov 7, 2024
    + more versions
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    Ville de Paris (2024). Own debt [Dataset]. https://data.europa.eu/data/datasets/https-opendata-paris-fr-explore-dataset-dette-propre-?locale=en
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Ville de Paris
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The "Debt of the City of Paris" dataset presents the breakdown of Parisian debt in bank or bond format* in a few key figures.Bond debt represents the issuance of debt securities (bonds) by the City of Paris on the financial markets to French or foreign institutional investors.

    *and with SIAAP (Syndicat Interdépartemental pour l'Assainissement de l'Agglomération Parisienne)

    Column nameDescription
    Year of PublicationYear of the Administrative Account for which the data was published

    Nature | In accounting, the term "nature" means the account in the accounting nomenclature (account number - Heading), expenditure or revenue Organisation lender or leader lending bank in the case of a bank loan;bank or group of banks that organised the issue in the case of a bond issue

    Date issuance or date of mobilisation Date of collection by the City of Paris

    Last due date End of life date of the loan

    Initial capital Amount originally subscribed.

    Capital outstanding at 31/12 of the year of publication Since almost all of the City's loans are of the "in fine" type, the capital remaining due is generally equal to the nominal amount, i.e. the amount of the loan (except in the case of depreciation in the year)

    Type of interest rate

    Indexed rates are rates adjusted periodically according to market values

    Index

    The borrowings of the City of Paris are indexed to different interest rates: EURIBOR (Euro area interbank rate), TAG (Annual rolling rate) and T4M (Monthly average rate of the Monetary Market), TAG and T4M being derived from EONIA (day-to-day rate)

    Initial Rate - Rate Level

    Rate paid for the first instalment Initial rate - Actuarial rate

    Rate calculated over the term of the loan

    Depreciation profile Method of amortization of the loan: almost all of the City's loans are of the "in fine" type, i.e. fully repaid on the last day of the contract

    Possibility of reimbursement

    Possibility left contractually to the City to get out of the loan by repaying it in advance

    Borrowing category

    Classification of the loan according to the Gissler charter which establishes a classification according to the degree of risk of the loan for the local community. Category A-1 represents the lowest level of risk.The "Debt of the City of Paris" dataset presents the breakdown of Parisian debt in bank or bond format* in a few key figures. Bond debt represents the issuance of debt securities (bonds) by the City of Paris on the financial markets to French or foreign institutional investors. *and with SIAAP (Syndicat Interdépartemental pour l'Assainissement de l'Agglomération Parisienne)

    Column name | Description

    ---|--- Year of Publication | Year of the Administrative Account for which the data was published Nature | In accounting, the term "nature" means the account in the accounting nomenclature (account number - Heading), expenditure or revenue

    Organisation lender or leader

    lending bank in the case of a bank loan;bank or group of banks that organised the issue in the case of a bond issue

    Date

    issuance or date of

    mobilisation Date of collection by the City of Paris

    Last due date

    End of life date of the loan

    Initial capital

    Amount originally subscribed.

    Capital outstanding at 31/12 of the year of publication

    Since almost all of the City's loans are of the "in fine" type, the capital remaining due is generally equal to the nominal amount, i.e. the amount of the loan (except in the case of depreciation in the year)

    Type of interest rate

    Indexed rates are rates adjusted periodically according to market values

    Index The borrowings of the City of Paris are indexed to different interest rates: EURIBOR (Euro area interbank rate), TAG (Annual rolling rate) and T4M (Monthly average rate of the Monetary Market), TAG and T4M being derived from EONIA (day-to-day rate)

    Initial Rate - Rate Level

    Rate paid for the first instalment

    Initial rate - Actuarial rate

    Rate calculated over the term of the loan

    Depreciation profile Method of amortization of the loan: almost all of the City's loans are of the "in fine" type, i.e. fully repaid on the last day of the contract

    Possibility of reimbursement

    Possibility left contractually to the City to get out of the loan by repaying it in advance

    Borrowing category

    Classification of the loan according to the Gissler charter which establishes a classification according to the degree of risk of the loan for the local community. Category A-1 represents the lowest level of risk.

  18. G20 Countries Development Indicators

    • kaggle.com
    Updated Jan 29, 2025
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    Svetlana Kalacheva (2025). G20 Countries Development Indicators [Dataset]. https://www.kaggle.com/datasets/kalacheva/g20-countries-development-indicators/versions/2
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Kaggle
    Authors
    Svetlana Kalacheva
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Description

    World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. [Note: Even though Global Development Finance (GDF) is no longer listed in the WDI database name, all external debt and financial flows data continue to be included in WDI. The GDF publication has been renamed International Debt Statistics (IDS), and has its own separate database, as well.

    Last Updated:01/28/2025

    Data contains Following 20 Countries 'Argentina', 'Australia', 'Brazil', 'China', 'France', 'Germany', 'India', 'Indonesia', 'Italy', 'Japan', 'Korea, Rep.', 'Mexico', 'Netherlands', 'Russian Federation', 'Saudi Arabia', 'Spain', 'Switzerland', 'Turkiye', 'United Kingdom', 'United States'

    Dataset contains below Development Indicators 'Adolescent fertility rate (births per 1,000 women ages 15-19)', 'Agriculture, forestry, and fishing, value added (% of GDP)', 'Annual freshwater withdrawals, total (% of internal resources)', 'Births attended by skilled health staff (% of total)', 'Contraceptive prevalence, any method (% of married women ages 15-49)', 'Domestic credit provided by financial sector (% of GDP)', 'Electric power consumption (kWh per capita)', 'Energy use (kg of oil equivalent per capita)', 'Exports of goods and services (% of GDP)', 'External debt stocks, total (DOD, current US$)', 'Fertility rate, total (births per woman)', 'Foreign direct investment, net inflows (BoP, current US$)', 'Forest area (sq. km)', 'GDP (current US$)', 'GDP growth (annual %)', 'GNI per capita, Atlas method (current US$)', 'GNI per capita, PPP (current international $)', 'GNI, Atlas method (current US$)', 'GNI, PPP (current international $)', 'Gross capital formation (% of GDP)', 'High-technology exports (% of manufactured exports)', 'Immunization, measles (% of children ages 12-23 months)', 'Imports of goods and services (% of GDP)', 'Income share held by lowest 20%', 'Industry (including construction), value added (% of GDP)', 'Inflation, GDP deflator (annual %)', 'Life expectancy at birth, total (years)', 'Merchandise trade (% of GDP)', 'Military expenditure (% of GDP)', 'Mobile cellular subscriptions (per 100 people)', 'Mortality rate, under-5 (per 1,000 live births)', 'Net barter terms of trade index (2015 = 100)', 'Net migration', 'Net official development assistance and official aid received (current US$)', 'Personal remittances, received (current US$)', 'Population density (people per sq. km of land area)', 'Population growth (annual %)', 'Population, total', 'Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)', 'Poverty headcount ratio at national poverty lines (% of population)', 'Prevalence of HIV, total (% of population ages 15-49)', 'Prevalence of underweight, weight for age (% of children under 5)', 'Primary completion rate, total (% of relevant age group)', 'Revenue, excluding grants (% of GDP)', 'School enrollment, primary (% gross)', 'School enrollment, primary and secondary (gross), gender parity index (GPI)', 'School enrollment, secondary (% gross)', 'Surface area (sq. km)', 'Tax revenue (% of GDP)', 'Terrestrial and marine protected areas (% of total territorial area)', 'Time required to start a business (days)', 'Total debt service (% of exports of goods, services and primary income)', 'Urban population growth (annual %)

  19. M

    Greece Debt to GDP Ratio

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Greece Debt to GDP Ratio [Dataset]. https://www.macrotrends.net/global-metrics/countries/grc/greece/debt-to-gdp-ratio
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1997 - Dec 31, 2023
    Area covered
    Greece
    Description

    Historical chart and dataset showing Greece debt to gdp ratio by year from 1997 to 2023.

  20. T

    PRIVATE DEBT TO GDP by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). PRIVATE DEBT TO GDP by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/private-debt-to-gdp?continent=europe
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

    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.

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TRADING ECONOMICS (2015). HOUSEHOLDS DEBT TO INCOME by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/households-debt-to-income

HOUSEHOLDS DEBT TO INCOME by Country Dataset

HOUSEHOLDS DEBT TO INCOME by Country Dataset (2025)

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4 scholarly articles cite this dataset (View in Google Scholar)
csv, json, excel, xmlAvailable download formats
Dataset updated
Dec 29, 2015
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2025
Area covered
World
Description

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

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