India recorded a Government Debt to GDP of 81.92 percent of the country's Gross Domestic Product in 2024. This dataset provides - India Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The dataset contains All India Yearly Central and State Government Debt Indicators as percentage to GDP from Handbook of Statistics on Indian Economy.

Note: 1. Data for 2022-23 are Revised Estimates and data for 2023-24 are Budget Estimates. 2. External liabilities of the Centre is at current exchange rate. 3. Total liabilities of the States, Combined domestic liabilities of Centre & States and Combined total liabilities of the Centre & States have been revised to include 'reserve funds', 'deposits and advances' and 'contingency fund' of State Governments. 4. Data in respect of Combined finances are exclusive of NCT Delhi from 2005-06 onwards. 5. Combined and Centre's liabilities are inclusive of securities/treasury bills under market stabilisation scheme (MSS). 6. GDP data for 2023-24 is taken from Union Budget 2023-24. 7. Combined total liabilities of Centre & States is the sum of External liabilities of the Centre and Combined domestic liabilities of Centre & States

Households Debt in India increased to 42 percent of GDP in the first quarter of 2025 from 41.90 percent of GDP in the fourth quarter of 2024. This dataset provides - India Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset showing India debt to gdp ratio by year from 1990 to 2018.

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.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for India Public Debt.

India External Debt: Debt Stock to(GDP) Gross Domestic ProductRatio data was reported at 20.200 % in 2017. This records a decrease from the previous number of 23.500 % for 2016. India External Debt: Debt Stock to(GDP) Gross Domestic ProductRatio data is updated yearly, averaging 22.450 % from Mar 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 38.700 % in 1992 and a record low of 16.800 % in 2006. India External Debt: Debt Stock to(GDP) Gross Domestic ProductRatio data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC002: External Debt: INR (Annual).

Explore global financial development data including remittance inflows, bank assets, loans, insurance premiums, stock market indicators, and more. Analyze trends in India, Qatar, Saudi Arabia, and other countries with the World Bank dataset.

Remittance inflows to GDP, Foreign bank assets, Global leasing volume, Private debt securities, Bank Z-score, Loans requiring collateral, Stock price volatility, Bank cost to income ratio

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

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The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics.

The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details.

Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

The dataset contains All India Yearly Central and State Governments Development and Non-Development Expenditure from Handbook of Statistics on Indian Economy.

Note: 1. Data for 2022-23 are Revised Estimates and data for 2023-24 are Budget Estimates. 2. Centre Developmental, Non-Development and Total Expenditure include gross expenditure of commercial departments and postal in respect of Central Government’s Revenue Account. 3. States- Other Expenditure comprise discharge of internal debt, repayment of loans to the Centre and compensation and assignments to local bodies and Panchayati Raj institutions. 4. Central & State Combined - Other Expenditure adjusted for repayment of loans by the State Governments to the Centre as given in Central Government Budget documents includes repayments to National Small Saving Fund (NSSF) by the Centre for the years 2002-03 to 2004-05. 5. Central Developmental, Non-developmental and Total Expenditure of 2007-08 include an amount of Rupees 35531 crore on account of transaction relating to transfer of the Reserve Bank’s stake in SBI to the Government. 6. Data in respect of combined finances are exclusive of NCT Delhi from 2005-06 onwards. 7. For the period 1993-94 to 2004-05 NCT Delhi was included in the expenditure of the States. 8. Data from 2017-18 onwards pertains to all states and UTs with legislatures.

The study ´Current questions on the economy and transformation´ has been conducted by forsa on behalf of the Press and Information Office of the Federal Government. In the survey period from 15 April to 17 April 2024, the German population was asked about their opinions on the economic transformation. Topics: Current challenges of economic development in Germany compared to ten years ago; assessment of the appropriateness of the activities of the following actors with regard to overcoming the economic challenges: federal government, opposition in the Bundestag, state governments, companies and business associations, trade unions; preference for a future orientation of the German economy towards: climate protection and green technologies, established industries; importance of the following aspects with regard to the federal government´s actions: higher investment in infrastructure, greater expansion of renewable energies, promotion of climate-neutral industry, promotion of the establishment of future industries, improvement of working conditions, increasing the efficiency of public administration work, relieving companies of bureaucracy, no further debt, expansion of partnerships with Brazil, India and South Africa; attitude towards selected statements: ‘Made in Germany’ is recognised worldwide as a seal of quality, German economy should also become more independent of other countries in the long term despite higher costs in the short term, Germany needs more skilled workers from abroad. Demography: sex; age (grouped); school leaving certificate; net household income (grouped); party preference in the next federal election; voting behaviour in the last federal election. Additionally coded: respondent ID; size of locality; region; weight. Die Studie ´Aktuelle Fragen zu Wirtschaft und Transformation´ wurde von forsa im Auftrag des Presse- und Informationsamts der Bundesregierung durchgeführt. Im Erhebungszeitraum 15.04.2024 bis 17.04.2024 wurde die deutsche Bevölkerung zu ihren Meinungen zur wirtschaftlichen Transformation befragt. Themen: aktuelle Herausforderungen der wirtschaftlichen Entwicklung in Deutschland im Vergleich zu vor zehn Jahren; Bewertung der Angemessenheit der Aktivitäten der folgenden Akteure in Bezug auf die Bewältigung der wirtschaftlichen Herausforderungen: Bundesregierung, Opposition im Bundestag, Landesregierungen, Unternehmen und Unternehmensverbände, Gewerkschaften; Präferenz für eine künftige Ausrichtung der deutschen Wirtschaft auf: Klimaschutz und grüne Technologien, bewährte Industrien; Bedeutung der folgende Aspekte im Hinblick auf das Handeln der Bundesregierung: höhere Investitionen in Infrastruktur, stärkerer Ausbau erneuerbarer Energien, Förderung einer klimaneutralen Industrie, Förderung der Ansiedlung von Zukunftsindustrien, Verbesserung der Arbeitsbedingungen, Steigerung der Effizienz der Arbeit der öffentlichen Verwaltung, Entlastung von Unternehmen von Bürokratie, keine weitere Verschuldung, Ausbau der Partnerschaften mit Brasilien, Indien und Südafrika; Zustimmung zu ausgewählten Aussagen: ´Made in Germany´ gilt weltweit als anerkanntes Qualitätssiegel, deutsche Wirtschaft sollte auch trotz kurzfristig höherer Kosten langfristig unabhängiger von anderen Ländern werden, Deutschland braucht mehr Fachkräfte aus dem Ausland. Demographie: Geschlecht; Alter (gruppiert); Schulabschluss; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl. Zusätzlich verkodet wurde: Befragtennummer; Ortsgröße; Region; Gewicht.

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.

Explore Green Bond Issuances by Country, Sovereign Green Bond Issuances, Cumulative Green Bond Issuances, and more on this dataset webpage.

Green Bond Issuances by Country, Sovereign Green Bond Issuances, Cumulative Green Bond Issuances, Cumulative Green Bond Issuances by Type of Currency, Environment, Climate Change, Financial and Physical and Transition Risk Indicators, Green Bonds, Green Bond Issuances (All Countries), US Dollars, Green Bond Issuances by Type of Issuers, Green Bonds Issuances, Green Bonds, Environment, Climate Change, Financial and Physical and Transition Risk Indicators, Green Bonds, Green Bonds Issuances, All, International Organization, State owned entities, Banks, Nonfinancial corporations, Local and state Government, Other financial corporations, Sovereign, Access to Essential Services, Acquisition, Affordable Basic Infrastructure, Capital expenditure/Financing expenses, Carbon reduction through reforestation and avoided deforestation, E-education programs - Education Projects, Economic Development, Funding new technologies to reduce GHS emissions, General Purpose/Acquisition, Pollution Control, Production/Supply of Cannabis, Sustainable Management of Living Natural Resources, Wind projects, Capital expenditure, Electric & Public Power, General Purpose/Working Capital, Green Construction/Buildings, Merger or Acquisition, Other, Project Finance, Refinance/Financing expenses, Repay Bank Loan or Bridge Financing, China Municipal Development, Employee stock ownership plan, Environmentally Sustainable Products, Equipment Upgrade/Construction, General Purpose, Industrial Development, Infrastructure, Land Preservation, Other Education, Other Public Service, Repay Intercompany Debt, Solar projects, Sustainable Management of Land Use, Sustainable Water or Wastewater management, The Belt and Road Initiative, Acquiring and distribution of vaccine, Alternative Energy, Aquatic Biodiversity Conservation, Clean Transport, Climate Change Adaptation, Environmental Protection Projects, Other Housing, Other Transportation, Pollution Prevention & Control, Redeem Existing Bonds or Securities, Water & Sewer, Working capital, Circular Economy Adapted/Eco-efficient Products, Production Technologies/Processes, Eligible Green Projects, Energy Efficiency, Financing of Subordinated Loan, Gas, General Purpose/Refinance, Property Expendit (acquisit/development), Renewable Energy Projects, Waste Management, Green bond, Sustainable finance



Argentina, Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Chile, China, Colombia, Costa Rica, Denmark, Egypt, Estonia, Fiji, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Kazakhstan, Latvia, Liechtenstein, Lithuania, Luxembourg, Malaysia, Marshall Islands, Mauritius, Mexico, Morocco, Namibia, Netherlands, New Zealand, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Peru, Philippines, Poland, Portugal, Romania, Russia, Serbia, Seychelles, Singapore, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Arab Emirates, United Kingdom, Vietnam

Follow data.kapsarc.org for timely data to advance energy economics research..Important notesexcluding international organizations type of currency and type of issuers (nonfinancial corporations, other financial corporations, banks, state owned entities, sovereign, state and local governments and international organizations).

The dataset contains year- and month-wise compiled data on policy rates fixed by Reserve Bank of India (RBI) for various financial policy and securities. These include data relating to Policy Repo Rate, Reverse Repo Rate, Marginal Standing Facility (MSF) Rate, Bank Rate, Base Rate, MCLR (Overnight), Term Deposit Rate greater than Year, Savings Deposit Rate, Call Money Rate (Weighted Average), 91, 182, 654-Day Treasury Bill (Primary) Yield, 10-Year G-Sec Par Yield (FBIL), etc.

Notes:

1. Repo rate is the rate at which the RBI lends money to commercial banks in the event of any shortfall of funds
2. Reverse Repo rate is the rate at which the RBI borrows money from commercial banks in the event of any shortfall of funds
3. Standing Deposit Facility is an overnight deposit facility that allows banks to park excess liquidity (money) and earn interest
4. Marginal Standing Facility rate is the interest rate at which RBI provides money to the scheduled commercial banks who are facing acute shortage of liquidity
5. The call money rate is the benchmark interest rate that banks charge brokers who are borrowing the money to fund margin loans. The call money rate, also known as the broker loan rate, typically isn't available to individuals, instead, investors pay the call money rate plus a service fee on a margin account.
6. Treasury bills or T-bills, which are money market instruments, are short term debt instruments issued by the Government of India and are presently issued in three tenors, namely, 91 days, 182 days and 364 days.
7. Government Securities (G-sec_ yield is a method to evaluate the broader trend of interest rates in the economy
8. Marginal Cost of Funds-based Lending Rate (MCLR) is the minimum rate at which a bank can lend to its customers on certain loans