The yield on India 10Y Bond Yield rose to 6.93% on March 27, 2026, marking a 0.07 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.25 points and is 0.35 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. India 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on March of 2026.

Key information about India Short Term Government Bond Yield

• India Short Term Government Bond Yield: Month End: India: 1 Year was reported at 5.64 % pa in Jan 2026, compared with 5.55 % pa in the previous month.
• India Short Term Government Bond Yield data is updated monthly, available from May 1996 to Jan 2026.
• The data reached an all-time high of 13.01 % pa in Jan 1998 and a record low of 3.46 % pa in Nov 2020.
• Short Term Government Bond Yield is reported by CEIC Data.

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for India (INDIRLTLT01STM) from Dec 2011 to Feb 2026 about India, long-term, 10-year, bonds, yield, interest rate, interest, and rate.

The yield on India 1 Year Bond Yield eased to 5.82% on March 27, 2026, marking a 0.10 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.24 points, though it remains 0.57 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 52W.

Prices for India 1 Year Bond Yield including live quotes, historical charts and news. India 1 Year Bond Yield was last updated by Trading Economics this March 28 of 2026.

The yield on India 30 Year Bond Yield rose to 7.69% on March 27, 2026, marking a 0.06 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.33 points and is 0.77 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 30Y.

As of July 18, 2025, the major economy with the highest yield on 10-year government bonds was Turkey, with a yield of ** percent. This is due to the risks investors take when investing in Turkey, notably due to high inflation rates potentially eradicating any profits made when using a foreign currency to investing in securities denominated in Turkish lira. Of the major developed economies, United Kingdom had one the highest yield on 10-year government bonds at this time with **** percent, while Switzerland had the lowest at **** percent. How does inflation influence the yields of government bonds? Inflation reduces purchasing power over time. Due to this, investors seek higher returns to offset the anticipated decrease in purchasing power resulting from rapid price rises. In countries with high inflation, government bond yields often incorporate investor expectations and risk premiums, resulting in comparatively higher rates offered by these bonds. Why are government bond rates significant? Government bond rates are an important indicator of financial markets, serving as a benchmark for borrowing costs, interest rates, and investor sentiment. They affect the cost of government borrowing, influence the price of various financial instruments, and serve as a reflection of expectations regarding inflation and economic growth. For instance, in financial analysis and investing, people often use the 10-year U.S. government bond rates as a proxy for the longer-term risk-free rate.

The yield on India 5 Year Bond Yield eased to 6.68% on March 27, 2026, marking a 0.10 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.27 points and is 0.23 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 5Y.

Graph and download economic data for Interest Rates, Government Securities, Government Bonds for India (INTGSBINM193N) from Jan 1960 to May 2017 about India, bonds, securities, government, interest rate, interest, and rate.

Prices for India 5 Year Bond Yield including live quotes, historical charts and news. India 5 Year Bond Yield was last updated by Trading Economics this March 27 of 2026.

CCIL: Government Securities Yield: 1 Year data was reported at 5.780 % in 25 Mar 2026. This records an increase from the previous number of 5.730 % for 24 Mar 2026. CCIL: Government Securities Yield: 1 Year data is updated daily, averaging 7.390 % from Jun 2009 (Median) to 25 Mar 2026, with 4050 observations. The data reached an all-time high of 11.140 % in 29 Aug 2013 and a record low of 3.400 % in 20 Nov 2020. CCIL: Government Securities Yield: 1 Year data remains active status in CEIC and is reported by The Clearing Corporation of India Limited. The data is categorized under India Premium Database’s Financial Market – Table IN.ZD: The Clearing Corporation of India Limited (CCIL): Government Securities Yield.

Prices for India 30 Year Bond Yield including live quotes, historical charts and news. India 30 Year Bond Yield was last updated by Trading Economics this March 28 of 2026.

NIFTY Fixed Income indices offer independent and comprehensive benchmarks for the fixed income market in India, covering universe of fixed income assets including government securities, corporate bonds of different credit rating categories, commercial papers etc.

The data set consists of daily log return percentages of 14 NIFTY Fixed Income indices, since the base period of each index upto the 31st March 2018 (which is the last day of the previous financial year). The daily log return values of an index are natural logarithms of the ratios of the closing values of the index on two consecutive trading days within a specified period. The log return percentage values are simply the log return values multiplied by hundred.

The first six csv files are the daily log return percentages of NIFTY AAA Corporate Bond Indices, which measure the performance of AAA rated corporate bonds across 6 duration buckets. Each index in the series consists of up to 14 most liquid issuers represented by their most liquid bonds. see https://www.nseindia.com/content/indices/Factsheet_NIFTY_AAA_Corporate_Bond_Indices.pdf

The next six csv files correspond to the daily log return percentages of Government of India (GOI) G-Sec bonds of maturity exceeding 1 year. The names of the csv files indicate the duration of the G Sec bonds in that index. The csv file "Gseccompreturns.csv" consists of the log returns of the NIFTY Composite G-Sec index, which is constructed using the prices of top 10 (in terms of traded value) liquid GOI bonds with residual maturity greater than 1 year and having outstanding issuance of over Rs.5000 crores.

The file moneymarketreturns.csv contains the daily log retruns of the Nifty 1D Rate Index. The overnight market in India is the most active component of the money market. Lenders agree to lend borrowers funds only "overnight" i.e. the borrower must repay the borrowed funds plus interest on next business day. The objective of this index is to measure the returns generated by market participants lending in the overnight market. See http://www.niftyindices.com/Methodology/Method_Nifty_1D_Rate.pdf

The last file sdlreturns.csv contains the daily log return percentage values of the NIFTY 10 Year SDL Index, which seeks to measure the performance of a portfolio of State Development Loans (SDLs) in India with residual maturity of about 10 years. See https://www.nseindia.com/content/indices/NIFTY_10_Year_SDL_Index_Methodology.pdf

Value of the data

1. To estimate daily market risk in terms of the Value at Risk, Expected Shortfall, Median Shortfall of the NIFTY Fixed Income indices

2. To estimate the risk adjusted returns in terms of Sharpe ratio of the NIFTY Fixed Income indices

3. Compare the risk and returns of the various fixed income indices in India, with the same in other developed financial markets

4. Estimating the marginal loss distribution of the NIFTY fixed income indices.

The yield on India 3 Year Bond Yield rose to 6.40% on March 27, 2026, marking a 0.11 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.54 points, though it remains 0.04 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 3Y.

In financial year 2021, the volume of green bonds in India was over *********** U.S. dollars. The volume of green bond issuance has been fluctuating since financial year 2017. The green bond is a fixed-income instrument, the proceeds from which fund an environmental project. The bond proceeds are, for example, invested across ventures related to renewable energy, clean transport, green buildings, etc. First Indian sovereign green bonds Green bonds are also crucial as a solution to address the investment gap in the Indian market. In 2022, the government approved the Sovereign Green Bonds Framework of India, through which it aims to issue green bonds. The focus will be on financing green infrastructure and renewable energy projects. This is deemed to be a move towards achieving Nationally Determined Contribution (NDC) targets adopted under the Paris Agreement of 2016. Moving towards renewable energy   India has witnessed a tremendous rise in energy consumption as a result of rapid economic development and an increase in population. It is one of the leading carbon emitters in the world; however, its per capita consumption is lower than the global average. The country is striving to achieve energy independence through initiatives like Make in India, with a growing focus on sustainability. The government recognized various startups under the sustainability sector as of 2022. Investment in renewable energy has also spiked as compared to the previous years.

The dataset contains All India and Yearly Ownership of Central and State Government Securities.

Note: 1. The total refers to aggregate issuances of Central and State Government securities which represent the face value of interest bearing outstanding rupee securities excluding Treasury Bills, Saving Prize Bonds, expired loans and interest-free non-negotiable securities of Government of India. 2. The format of the Table has been revised from 2010-11 Handbook of Statistics to improve the sectoral coverage. 3. State Government Securities include special bonds under UDAY scheme. Treasury Bills include Cash Management Bills also. 4. Source of data are banks' SGL/CSGL balances maintained with Reserve Bank of India/custodian banks. 5. The category 'Others' include State Government Foreign Central banks, Individuals and HUF

Prices for India 3 Month Bond Yield including live quotes, historical charts and news. India 3 Month Bond Yield was last updated by Trading Economics this March 28 of 2026.

Indian Electoral Bonds Data

This dataset presents a detailed overview of the expenditures made by various companies through Indian Electoral Bonds since 2019. Electoral bonds, introduced by the Government of India in 2018, were aimed to be a mechanism for political funding. The Government of India had introduced them for transparency in the electoral process, however, the Supreme Court of India declared them unconstitutional on February 15, 2024, on the grounds of bypassing the right to information of the citizens of India.

Context: The dataset emerges amidst significant legal and regulatory developments surrounding electoral bonds in India. The Election Commission of India (ECI), in compliance with orders from the Supreme Court (SC), mandated the State Bank of India (SBI) to furnish details regarding electoral bonds. Following the SC's ruling declaring the 2018 scheme unconstitutional, the SBI was directed to disclose electoral bond data to the ECI by March 15, 2024. This dataset encapsulates the information disclosed by the ECI on its website.

Contents: 1. Purchaser Details: This section includes information on the purchasers of electoral bonds, encompassing names, dates of purchase, and denominations. 2. Political Party Beneficiaries: It delineates the political parties receiving donations through electoral bonds, featuring details such as dates, denominations, and parties encashing the bonds. 3. Financial Metrics: The dataset encompasses financial aspects of electoral bond transactions, offering insights into the amounts donated through bonds of varying denominations (₹1 lakh, ₹10 lakh, and ₹1 crore).

Significance: This dataset holds paramount importance in shedding light on the intersection of corporate interests and political funding in India. By revealing the identities of donors, their associated companies, and the recipient political parties, it facilitates a deeper understanding of political financing dynamics. It is to be noted that the data of the money spent by a party is not mapped to the data of the money received by the corresponding political party, the reason for this, as stated by the SBI, was that these data were maintained in two physical silos and the SBI needed time till June 30, 2024, to map them (one month after the National elections 2024 in India).

Implications: Stakeholders ranging from policymakers and researchers to journalists and civil society can leverage this dataset to scrutinize the flow of funds within the political landscape. It provides a foundation for assessing the influence of corporate entities on electoral processes and policy formulation.

Key Insights: The dataset showcases contributions from diverse corporate entities, including prominent names like Megha Engineering and Infrastructure, Future Gaming and Hotel Services (Lottery Martin), Sun Pharma, Lakshmi Mittal, Sula Wine, and DLF Commercial Developers. Furthermore, it highlights major political parties such as the BJP, Congress, AITMC, BRS, AIDMK, TDP, YSR Congress, AAP, SP, and JD(U) as recipients of electoral bond donations.

Usage: Researchers can utilize this dataset to conduct in-depth analyses on patterns of political funding, donor preferences, and the impact of electoral bonds on democratic processes. Additionally, journalists can employ this data to produce investigative reports, enhancing public awareness and accountability.

Ethical Considerations: While this dataset provides valuable insights, it raises ethical questions regarding the influence of corporate interests on democratic institutions. It underscores the importance of robust regulatory frameworks and transparency measures to safeguard the integrity of electoral processes.

Conclusion: This Kaggle dataset serves as a valuable resource for elucidating the intricacies of political financing in India. By fostering transparency and accountability, it empowers stakeholders to engage in informed discussions and advocate for reforms aimed at strengthening democratic governance.

View market daily updates and historical trends for 3 Month Treasury Bill Rate. from United States. Source: Federal Reserve. Track economic data with YCha…

RDB: Automatic Route: Economic Sector: Scientific Research and Development data was reported at 0.304 USD mn in Apr 2019. RDB: Automatic Route: Economic Sector: Scientific Research and Development data is updated monthly, averaging 0.304 USD mn from Apr 2019 (Median) to Apr 2019, with 1 observations. The data reached an all-time high of 0.304 USD mn in Apr 2019 and a record low of 0.304 USD mn in Apr 2019. RDB: Automatic Route: Economic Sector: Scientific Research and Development data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAH072: Rupee Denominated Bond: Automatic Route.