Graph and download economic data for 20-Year 2-1/2% Treasury Inflation-Indexed Bond, Due 1/15/2029 (DTP20J29) from 2010-01-04 to 2025-09-29 about 20-year, TIPS, bonds, Treasury, interest rate, interest, real, rate, and USA.

Israel Bond Index: TASE: General:(CPI) Consumer Price IndexLinked data was reported at 347.940 31Dec1996=100 in Nov 2018. This records a decrease from the previous number of 350.640 31Dec1996=100 for Oct 2018. Israel Bond Index: TASE: General:(CPI) Consumer Price IndexLinked data is updated monthly, averaging 227.960 31Dec1996=100 from Jan 2000 (Median) to Nov 2018, with 227 observations. The data reached an all-time high of 354.310 31Dec1996=100 in Aug 2018 and a record low of 124.180 31Dec1996=100 in Feb 2000. Israel Bond Index: TASE: General:(CPI) Consumer Price IndexLinked data remains active status in CEIC and is reported by Tel Aviv Stock Exchange. The data is categorized under Global Database’s Israel – Table IL.Z002: Tel Aviv Stock Exchange: Bond Index.

The average market yield on the United States Treasury's 10-year bond was **** percent during the second quarter of 2024. This rate was adjusted to reflect a constant maturity and also indexed to inflation, giving an idea of real returns for longer-term investments. The recent expected return was highest at the end of the end of the last quarter of 2024, and lowest in the second half of 2021, when it was negative.

Graph and download economic data for 10-Year 0.125% Treasury Inflation-Indexed Bond, Due 01/15/2030 (DTP10J30) from 2020-02-20 to 2025-09-29 about TIPS, 10-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

Israel Bond Index: TASE: Corporate:(CPI) Consumer Price IndexLinked data was reported at 366.150 31Dec1996=100 in Nov 2018. This records a decrease from the previous number of 368.760 31Dec1996=100 for Oct 2018. Israel Bond Index: TASE: Corporate:(CPI) Consumer Price IndexLinked data is updated monthly, averaging 224.660 31Dec1996=100 from Jan 2000 (Median) to Nov 2018, with 227 observations. The data reached an all-time high of 371.460 31Dec1996=100 in Aug 2018 and a record low of 123.990 31Dec1996=100 in Feb 2000. Israel Bond Index: TASE: Corporate:(CPI) Consumer Price IndexLinked data remains active status in CEIC and is reported by Tel Aviv Stock Exchange. The data is categorized under Global Database’s Israel – Table IL.Z002: Tel Aviv Stock Exchange: Bond Index.

Graph and download economic data for 5-Year 0.125% Treasury Inflation-Indexed Bond, Due 4/15/2025 (DISCONTINUED) (DTP5A25) from 2020-06-30 to 2025-04-14 about fees, notes, TIPS, bonds, Treasury, 5-year, and USA.

Inflation curves or Consumer Price Index (CPI) curves are the term structures of CPI rates at different maturities. They are essential for pricing inflation securities and derivatives.

The most popular inflation products are inflation linked bonds, zero coupon inflation swaps, inflation swaps, and inflation caps/floors.

Unfortunately forward CPI rates are not market observable. But they can be derived/implied from inflation instruments.

FinPricing bootstraps inflation curve from a number of inflation instruments that are the most liquid inflation products at certain maturities.

Graph and download economic data for 10-Year 0.875% Treasury Inflation-Indexed Note, Due 1/15/2029 (DTP10J29) from 2019-01-18 to 2025-09-30 about fees, notes, TIPS, 10-year, bonds, and Treasury.

Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

In an effort to further coordinate and harmonize the collection of CPI data, the international organizations agreed that the International Monetary Fund (IMF) and the Organisation for Economic Cooperation and Development (OECD) would assume responsibility for the international collection and dissemination of national CPI data. Under this data collection initiative, countries are reporting the aggregate all items index; more detailed indexes and weights for 12 subgroups of consumption expenditure (according to the so-called COICOP-classification), and detailed metadata. These detailed data represent a valuable resource for data users throughout the world and this portal would not be possible without the ongoing cooperation of all reporting countries. In this effort, the OECD collects and validates the data for their member countries, including accession and key partner countries, whereas the IMF takes care of the collection of data for all other countries.

Ecuador Consumer Price Index (CPI): RC: NS: Bond Paper data was reported at 130.003 2004=100 in Dec 2014. This stayed constant from the previous number of 130.003 2004=100 for Nov 2014. Ecuador Consumer Price Index (CPI): RC: NS: Bond Paper data is updated monthly, averaging 123.406 2004=100 from Jan 2005 (Median) to Dec 2014, with 120 observations. The data reached an all-time high of 130.003 2004=100 in Dec 2014 and a record low of 103.867 2004=100 in Aug 2006. Ecuador Consumer Price Index (CPI): RC: NS: Bond Paper data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.I016: Consumer Price Index: 2004=100.

Treasury Inflation-Protected Securities (TIPS) Market Outlook

According to our latest research, the global Treasury Inflation-Protected Securities (TIPS) market size reached USD 1.12 trillion in 2024, reflecting the growing demand for inflation-hedged investment vehicles. The market is projected to expand at a CAGR of 6.1% from 2025 to 2033, with the market value expected to reach approximately USD 1.91 trillion by 2033. This robust growth is primarily driven by heightened concerns over inflationary pressures, increased institutional participation, and the rising need for portfolio diversification in uncertain economic climates. As per our latest research, a combination of macroeconomic volatility and evolving investor preferences continues to shape the trajectory of the TIPS market globally.

One of the primary growth factors for the Treasury Inflation-Protected Securities (TIPS) market is the persistent uncertainty surrounding global inflation. In recent years, the resurgence of inflation across major economies has reignited interest in instruments that can offer protection against eroding purchasing power. TIPS, which are designed to adjust their principal value in line with the Consumer Price Index (CPI), have become increasingly attractive to both individual and institutional investors seeking to safeguard their capital. The growing awareness of the limitations of traditional fixed-income securities in inflationary environments has led to a strategic shift, with asset managers and pension funds allocating a larger proportion of their portfolios to TIPS. This trend is further supported by the growing sophistication of investors who are now more inclined to utilize advanced financial instruments for risk management and yield optimization.

Another significant driver fueling the expansion of the TIPS market is the evolving regulatory and policy landscape. Central banks and financial regulators in developed markets, particularly in North America and Europe, have introduced measures aimed at enhancing market transparency, liquidity, and accessibility. These initiatives have not only increased the supply of TIPS but have also facilitated broader participation by lowering entry barriers for retail investors. Additionally, the proliferation of digital trading platforms and the integration of TIPS into major bond indices have contributed to improved price discovery and secondary market liquidity. These developments have made it easier for investors of all sizes to access, trade, and manage TIPS holdings, further bolstering market growth and deepening investor engagement.

The increasing adoption of TIPS for portfolio diversification and retirement planning represents another crucial growth factor. With the demographic shift towards an aging population, especially in developed economies, there is a heightened emphasis on preserving wealth and ensuring stable income streams during retirement. TIPS, with their inflation-adjusted returns and government backing, are increasingly being incorporated into target-date funds, pension plans, and retirement portfolios. Financial advisors and wealth managers are proactively educating clients about the benefits of TIPS as a strategic hedge against long-term inflation risks. This growing demand from the retirement planning segment is expected to provide a steady and resilient source of growth for the TIPS market over the forecast period.

In addition to TIPS, investors are increasingly exploring Perpetual Preferred Securities as a viable option for income generation and capital preservation. These securities, which offer fixed dividends and have no maturity date, provide a steady income stream that can be particularly appealing in low-interest-rate environments. The perpetual nature of these securities allows investors to benefit from ongoing income without the pressure of reinvestment risk associated with traditional bonds. As economic conditions fluctuate, Perpetual Preferred Securities offer a blend of equity and fixed-income characteristics, making them a strategic choice for those looking to diversify their portfolios and hedge against inflationary pressures. The growing interest in these securities is reflective of a broader trend towards seeking stable, long-term investment solutions in uncertain economic times.

Regionally, North America remains the dominant force in the gl

About this dataset

Context

The dataset illustrates the median household income in Bond County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Bond County decreased by $11,378 (15.59%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 8 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Bond County median household income. You can refer the same here

South Africa Consumer Price Index (CPI): sa: Metropolitan & Other Urban: excl Interest Rates on Mortgage Bonds data was reported at 149.900 1995=100 in Jan 2001. This records an increase from the previous number of 148.800 1995=100 for Dec 2000. South Africa Consumer Price Index (CPI): sa: Metropolitan & Other Urban: excl Interest Rates on Mortgage Bonds data is updated monthly, averaging 130.100 1995=100 from Jan 1997 (Median) to Jan 2001, with 49 observations. The data reached an all-time high of 149.900 1995=100 in Jan 2001 and a record low of 113.600 1995=100 in Jan 1997. South Africa Consumer Price Index (CPI): sa: Metropolitan & Other Urban: excl Interest Rates on Mortgage Bonds data remains active status in CEIC and is reported by South African Reserve Bank. The data is categorized under Global Database’s South Africa – Table ZA.I022: Consumer Price Index: Metropolitan and Other Urban: 1995=100: Seasonally Adjusted.

About this dataset

Context

The dataset illustrates the median household income in Bond County, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Bond County decreased by $12,095 (17.26%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 3 years and declined for 8 years.

https://i.neilsberg.com/ch/bond-county-il-median-household-income-trend.jpeg" alt="Bond County, IL median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Bond County median household income. You can refer the same here

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What happens to gold if CPI increases?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

"Bound" and "free" solvent-extractable lipids have been examined from Sections 440A-7-6, 440B-3-5, 440B-8-4, 440B-68-2, and 436-11-4. The compound classes studied include aliphatic and aromatic hydrocarbons, ketones, alcohols, and carboxylic acids. Carotenoids and humic acids have also been examined. The quantitative results are considered in terms of input indicators, diagenesis parameters, and structural classes. A difference in input is deduced across the Japan Trench, with a higher proportion of autochthonous components on the western inner trench slope compared with the more easterly, outer trench, wall and greater input in the early Pleistocene than in the Miocene. A variety of diagenetic transformations is observed at Site 440 as sample depth increases. Results are compared with those of samples from Atlantic Cretaceous sediments and from the Walvis Bay high productivity area.

Turkey Domestic Debt Stock: Duration: TRY Denominated data was reported at 30.300 Month in Sep 2018. This records a decrease from the previous number of 30.700 Month for Aug 2018. Turkey Domestic Debt Stock: Duration: TRY Denominated data is updated monthly, averaging 14.150 Month from Dec 2005 (Median) to Sep 2018, with 154 observations. The data reached an all-time high of 32.500 Month in Oct 2017 and a record low of 7.500 Month in Dec 2009. Turkey Domestic Debt Stock: Duration: TRY Denominated data remains active status in CEIC and is reported by Turkish Treasury. The data is categorized under Global Database’s Turkey – Table TR.F031: Domestic Debt Stock. Data on Domestic Debt Stock Duration excludes non-cash securities and CPI indexed government bonds.

The yield on Australia 10Y Bond Yield rose to 4.35% on October 1, 2025, marking a 0.01 percentage points increase from the previous session. Over the past month, the yield has fallen by 0.01 points, though it remains 0.42 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on October of 2025.

The variables included in the dataset are real GDP (seasonally adjusted, in log-levels, https://sdw.ecb.de/quickview.do?SERIES_KEY=314.MNA.Q.Y.AT.W2.S1.S1.B.B1GQ._Z._Z._Z.EUR.LR.N), the GDP Deflator (seasonally adjusted, in log-levels, https://data.ecb.europa.eu/data/datasets/MNA/MNA.Q.Y.AT.W2.S1.S1.B.B1GQ._Z._Z._Z.IX.D.N), CPI (food and energy excluded, base year 2015, seasonally adjusted, enters in log-levels, https://www.oecd.org/en/data/indicators/inflation-cpi.html}{retrieved from OECD Data Archive), the EUR/USD exchange rate (https://data.ecb.europa.eu/data/datasets/EXR/EXR.D.USD.EUR.SP00.A), a measure of bank concentration by country (interpolated to a quarterly series from yearly values, only contemporaneous values included, https://data.ecb.europa.eu/data/datasets/SSI/SSI.A.AT.122C.H10.X.A1.Z0Z.Z) the cost of new short-term (https://data.ecb.europa.eu/data/datasets/MIR/MIR.M.U2.B.A2J.FM.R.A.2230.EUR.N) and long-term (https://data.ecb.europa.eu/data/datasets/MIR/MIR.M.U2.B.A2J.KM.R.A.2230.EUR.N) borrowing in the euro area, the monetary policy shocks as in Altavilla et al. (2019) (https://doi.org/10.1016/j.jmoneco.2019.08.016), which were summed up to quarterly values, and finally the loans granted by Euro Area Monetary Financial Institutions to domestic non financial corporations (https://data.ecb.europa.eu/data/datasets/QSA/QSA.Q.N.AT.W2.S12K.S11.N.A.LE.F4.T.Z.XDC.T.S.V.N.T). To conclude, the time series on loans granted by investment funds and the aggregate size of the bonds issued by non-financial corporations that are held/issued by each country (retrieved from the Securities Holdings Statistics by Sector dataset) are confidential series and cannot be shared.

Graph and download economic data for 10-Year 0-1/4% Treasury Inflation-Indexed Note, Due 1/15/2025 (DISCONTINUED) (DTP10J25) from 2015-03-11 to 2025-01-14 about fees, notes, TIPS, 10-year, bonds, Treasury, and USA.