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.

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.

The World Bank Central Government Debt dataset contains information on the amount of debt owed by central governments in countries around the world. This dataset provides information on the amount of debt owed by central governments.The dataset contains data for more than 130 countries and covers a period of several decades. The data is collected from official government sources, such as national central banks, finance ministries, and debt management offices.

Some potential uses of this dataset include: * Analyzing the relationship between central government debt levels and economic indicators, such as GDP, inflation, and interest rates. * Studying the impact of different types of debt instruments on central government debt levels. * Comparing central government debt levels across different countries and regions. * Forecasting central government debt levels and analyzing the factors that drive changes in debt levels.

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.

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.

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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

Abstract copyright UK Data Service and data collection copyright owner. The World Bank International Debt Statistics (previosuly Global Development Finance) contains more debt and financial flows indicators for countries that report public and publicly-guaranteed debt to the World Bank Debtor Reporting System. The database runs from 1970 onwards and covers external debt stocks and flows, major economic aggregates and key debt ratios as well as average terms of new commitments, currency composition of long-term debt, debt restructuring and scheduled debt service projections. These data were first provided by the UK Data Service in February 2004. Main Topics: total debt stockstotal debt flowsstock-flow reconciliationresource flowslong-term debtdebt outstanding and disburseddisbursementsprincipal repaymentsnet flowsinterest paymentsnet transfers on debtdebt serviceundisbursed debtrestructuring debtdebt ratiosmacroeconomic aggregatescurrency composition of long-term debtaverage terms of new commitments

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Public debt for the Pacific island countries and territories per year.

Find more Pacific data on PDH.stat.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

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.

The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following:

Gross Domestic Product:
Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140].

Gross Disposable Income:
Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145].

Definition of Debt:
Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices.

To view other related indicator datasets, please refer to:
Institutional Investors Indicators [add link]
Household Dashboard [add link]

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

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.

Analysis of ‘Evolution of debt vulnerabilities in Africa’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/evadrichter/evolution-of-debt-distress-in-hipc-countries on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Evolution of Debt Vulnerability Classifications in Sub-Saharan African Heavily Indebted Poor Countries

This data contains debt distress vulnerability classifications for thirty Sub-Saharan African countries that have been granted debt relief under the Heavily Indebted Poor Countries (HIPC) initiative. At the turn of the century, heavily indebted countries (most of which were located in Sub-Saharan Africa) were granted large-scale cancellations of external debt owed to the World Bank, International Monetary Fund, and African Development Bank. Since then, the debt sustainability of these countries has been closely monitored by the IMF and World Bank under the Debt Sustainability Analysis for Low Income Countries (DSA for LIC). This DSA has been conducted in Low-Income countries since 2005.

This dataset contains the external debt distress classifications for 30 Sub-Saharan African countries that have been granted debt reductions under the HIPC scheme from 2005 to 2019. If there was no DSA conducted in a year, the DSA classification of the previous year is shown.

Acknowledgements

Data collected by me from documents on https://www.imf.org/en/Publications/DSA.

--- Original source retains full ownership of the source dataset ---

The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.