100+ datasets found
  1. F

    Inflation Between 0 and 1.5 Percent

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Inflation Between 0 and 1.5 Percent [Dataset]. https://fred.stlouisfed.org/series/STLPPMLOW
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Inflation Between 0 and 1.5 Percent (STLPPMLOW) from Jan 1990 to Jul 2025 about percent, inflation, price, and USA.

  2. d

    FinPricing Inflation Curve Data Feed API - USA, UK, Canada, Australia, New...

    • datarade.ai
    .json
    Updated Dec 3, 2020
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    FinPricing (2020). FinPricing Inflation Curve Data Feed API - USA, UK, Canada, Australia, New Zealand [Dataset]. https://datarade.ai/data-products/inflation-curve-data-feed-api-finpricing
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    .jsonAvailable download formats
    Dataset updated
    Dec 3, 2020
    Dataset authored and provided by
    FinPricing
    Area covered
    Canada, United Kingdom, Australia, New Zealand, United States
    Description

    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.

  3. T

    China Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 9, 2025
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    TRADING ECONOMICS (2025). China Inflation Rate [Dataset]. https://tradingeconomics.com/china/inflation-cpi
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Aug 9, 2025
    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, 1986 - Jul 31, 2025
    Area covered
    China
    Description

    Inflation Rate in China decreased to 0 percent in July from 0.10 percent in June of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. n

    Data from: Change Processes in Ecological Momentary Assessment: Addressing...

    • curate.nd.edu
    Updated Nov 11, 2024
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    Sijing Shao (2024). Change Processes in Ecological Momentary Assessment: Addressing Zero-Inflation in Count Data [Dataset]. http://doi.org/10.7274/26170387.v1
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    Dataset updated
    Nov 11, 2024
    Dataset provided by
    University of Notre Dame
    Authors
    Sijing Shao
    License

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

    Description

    Count or zero-inflated count data is often collected in Ecological Momentary Assessment (EMA) studies where understanding the mechanisms of the change process serves as the primary research goal. Traditional methods often fail to capture the complexities inherent in EMA data, leading to discrepancies between empirical findings and theoretical expectations. To address these limitations, this study presents two novel approaches. The first integrates autoregressive effects individually, and the second utilizes a model framework to pinpoint autoregressive effects among groups. These approaches are extended for both count and zero-inflated count data. Through simulation studies and empirical applications, the proposed models show enhanced accuracy and interpretability at both individual and group levels. Furthermore, models tailored for zero-inflated data, referred to as ZIP-CAR, can distinguish zero patterns at both individual and group levels. The dissertation concludes with discussions on the practical implications, limitations, and future directions of the proposed methods. This work is expected to improve method development for EMA studies, ultimately enhancing the understanding of behavioral change processes in zero-inflated count data.

  5. w

    Dataset of book subjects that contain Inflation targets and the zero lower...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Inflation targets and the zero lower bound in a behavioral macroeconomic model [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Inflation+targets+and+the+zero+lower+bound+in+a+behavioral+macroeconomic+model&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book subjects. It has 4 rows and is filtered where the books is Inflation targets and the zero lower bound in a behavioral macroeconomic model. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  6. Inflation rate and central bank interest rate 2025, by selected countries

    • statista.com
    Updated Aug 4, 2025
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    Statista (2025). Inflation rate and central bank interest rate 2025, by selected countries [Dataset]. https://www.statista.com/statistics/1317878/inflation-rate-interest-rate-by-country/
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    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Worldwide
    Description

    In June 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In the first half of 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at 0.1 percent in June 2025. In contrast, Russia maintained a high inflation rate of 9.4 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

  7. F

    30-Year 0-3/4% Treasury Inflation-Indexed Bond, Due 2/15/2042

    • fred.stlouisfed.org
    json
    Updated Aug 18, 2025
    + more versions
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    (2025). 30-Year 0-3/4% Treasury Inflation-Indexed Bond, Due 2/15/2042 [Dataset]. https://fred.stlouisfed.org/series/DTP30F42
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year 0-3/4% Treasury Inflation-Indexed Bond, Due 2/15/2042 (DTP30F42) from 2012-03-30 to 2025-08-18 about TIPS, 30-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

  8. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 0%...

    • ceicdata.com
    Updated Feb 14, 2025
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    CEICdata.com (2025). United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 0% to 1% [Dataset]. https://www.ceicdata.com/en/united-states/survey-of-consumer-expectations-inflation/sce-distribution-of-5-year-ahead-expected-inflation-rate-0-to-1
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 0% to 1% data was reported at 7.303 % in Apr 2025. This records a decrease from the previous number of 11.681 % for Mar 2025. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 0% to 1% data is updated monthly, averaging 11.248 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 13.085 % in Jul 2024 and a record low of 7.303 % in Apr 2025. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 0% to 1% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

  9. Monthly real vs. nominal interest rates and inflation rate for the U.S....

    • statista.com
    Updated Jan 3, 2025
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    Statista (2025). Monthly real vs. nominal interest rates and inflation rate for the U.S. 1982-2024 [Dataset]. https://www.statista.com/statistics/1342636/real-nominal-interest-rate-us-inflation/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1982 - Nov 2024
    Area covered
    United States
    Description

    Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.

  10. U

    United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate:...

    • ceicdata.com
    Updated Aug 18, 2025
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    CEICdata.com (2025). United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% [Dataset]. https://www.ceicdata.com/en/united-states/survey-of-consumer-expectations-inflation
    Explore at:
    Dataset updated
    Aug 18, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data was reported at 28.374 % in Apr 2025. This records an increase from the previous number of 22.061 % for Mar 2025. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data is updated monthly, averaging 21.942 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 30.233 % in Jun 2022 and a record low of 15.468 % in Feb 2024. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

  11. d

    Data from: Estimating the intensity of use by interacting predators and prey...

    • search.dataone.org
    • datadryad.org
    Updated Jun 21, 2025
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    Jonah L. Keim; Subhash R. Lele; Philip D. DeWitt; J. Jeremy Fitzpatrick; Noemie S. Jenni (2025). Estimating the intensity of use by interacting predators and prey using camera traps [Dataset]. http://doi.org/10.5061/dryad.8s27g9f
    Explore at:
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Jonah L. Keim; Subhash R. Lele; Philip D. DeWitt; J. Jeremy Fitzpatrick; Noemie S. Jenni
    Time period covered
    Jan 1, 2019
    Description

    Understanding how organisms distribute themselves in response to interacting species, ecosystems, climate, human development and time is fundamental to ecological study and practice. A measure to quantify the relationship among organisms and their environments is intensity of use: the rate of use of a specific resource in a defined unit of time. Estimating the intensity of use differs from estimating probabilities of occupancy or selection, which can remain constant even when the intensity of use varies. We describe a method to evaluate the intensity of use across conditions that vary in both space and time. We demonstrate its application on a large mammal community where linear developments and human activity are conjectured to influence the interactions between white†tailed deer (Odocoileus virginianus) and wolves (Canis lupus) with possible consequences on threatened woodland caribou (Rangifer tarandus caribou). We collect and quantify intensity of use data for multiple, interacting...

  12. d

    Data from: Improving performance of hurdle models using rare-event weighted...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated May 1, 2025
    + more versions
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    Evans Omondi; Sharon Okello; Collins Odhiambo (2025). Improving performance of hurdle models using rare-event weighted logistic regression: An application to maternal mortality data [Dataset]. http://doi.org/10.5061/dryad.zs7h44jdc
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Evans Omondi; Sharon Okello; Collins Odhiambo
    Time period covered
    Jan 1, 2022
    Description

    In this paper, the performance of hurdle models in rare events data is improved by modifying their binary component. The rare-event weighted logistic regression model is adopted in place of logistic regression to deal with class imbalance due to rare events. Poisson Hurdle Rare Event Weighted Logistic Regression (REWLR) and Negative Binomial Hurdle (NBH) REWLR are developed as two-part models which use the REWLR model to estimate the probability of a positive count and a Poisson or NB zero-truncated count model to estimate non-zero counts. The obtained results are numerically validated and then discussed from both the mathematical and the maternal mortality perspective. Numerical simulations are also presented to give a more complete representation of the model dynamics. Results obtained suggest that NB Hurdle REWLR is the best-performing model for zero-inflated count data due to rare events.

  13. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

  14. Historical United States Money Growth, Inflation, and Inflation Credibility

    • icpsr.umich.edu
    Updated Jun 23, 1999
    + more versions
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    Dewald, William G. (1999). Historical United States Money Growth, Inflation, and Inflation Credibility [Dataset]. http://doi.org/10.3886/ICPSR01198.v1
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    Dataset updated
    Jun 23, 1999
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Dewald, William G.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1198/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1198/terms

    Area covered
    United States
    Description

    This research focuses on the longer-term monetary relationships in historical data. Charts describing the 10-year average growth rates in the M2 monetary aggregate, nominal GDP, real GDP, and inflation are used to show that there is a consistent longer-term correlation between M2 growth, nominal GDP growth, and inflation but not between such nominal variables and real GDP growth. The data reveal extremely long cycles in monetary growth and inflation, the most recent of which was the strong upward trend in M2 growth, nominal GDP growth, and inflation during the 1960s and 1970s, and the strong downward trend since then. Data going back to the 19th century show that the most recent inflation/disinflation cycle is a repetition of earlier long monetary growth and inflation cycles in the United States historical record. Also discussed is a measure of bond market inflation credibility, defined as the difference between averages in long-term bond rates and real GDP growth. By this measure, inflation credibility hovered close to zero during the 1950s and early 1960s, but then rose to a peak of about 10 percent in the early 1980s. During the 1990s, the bond market has yet to restore the low inflation credibility that existed before inflation turned up during the 1960s. The conclusion is that the risks of starting another costly inflation/disinflation cycle could be avoided by monitoring monetary growth and maintaining a sufficiently tight policy to keep inflation low. An environment of credible price stability would allow the economy to function unfettered by inflationary distortions, which is all that can reasonably be expected of monetary policy, and is precisely what should be expected.

  15. o

    Data and Code for: Optimal Inflation Target in an Economy with Menu Costs...

    • openicpsr.org
    delimited, stata
    Updated Mar 27, 2020
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    Andres Blanco (2020). Data and Code for: Optimal Inflation Target in an Economy with Menu Costs and a Zero Lower Bound [Dataset]. http://doi.org/10.3886/E118523V1
    Explore at:
    delimited, stataAvailable download formats
    Dataset updated
    Mar 27, 2020
    Dataset provided by
    American Economic Association
    Authors
    Andres Blanco
    License

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

    Area covered
    United State and United Kingdom
    Description

    These files contain the programs and data for the journal article "Optimal Inflation Target in an Economy with Menu Costs and a Zero Lower Bound," American Economic Journal: Macroeconomics.

  16. T

    United States - Inflation Between 0 and 1.5 Percent

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Inflation Between 0 and 1.5 Percent [Dataset]. https://tradingeconomics.com/united-states/inflation-between-0-and-1-5-percent-fed-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Feb 9, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Inflation Between 0 and 1.5 Percent was 0.00055 Probability in June of 2025, according to the United States Federal Reserve. Historically, United States - Inflation Between 0 and 1.5 Percent reached a record high of 0.91827 in January of 1999 and a record low of 0.00001 in March of 2025. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Inflation Between 0 and 1.5 Percent - last updated from the United States Federal Reserve on August of 2025.

  17. f

    Additional file 6 of Modeling zero inflation is not necessary for spatial...

    • springernature.figshare.com
    • figshare.com
    xlsx
    Updated Feb 21, 2024
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    Peiyao Zhao; Jiaqiang Zhu; Ying Ma; Xiang Zhou (2024). Additional file 6 of Modeling zero inflation is not necessary for spatial transcriptomics [Dataset]. http://doi.org/10.6084/m9.figshare.19793453.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 21, 2024
    Dataset provided by
    figshare
    Authors
    Peiyao Zhao; Jiaqiang Zhu; Ying Ma; Xiang Zhou
    License

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

    Description

    Additional file 6: Table S6. Database of individual datasets and accompanying citations used throughout this study.

  18. f

    Additional file 3 of Modeling zero inflation is not necessary for spatial...

    • springernature.figshare.com
    xlsx
    Updated Mar 1, 2024
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    Peiyao Zhao; Jiaqiang Zhu; Ying Ma; Xiang Zhou (2024). Additional file 3 of Modeling zero inflation is not necessary for spatial transcriptomics [Dataset]. http://doi.org/10.6084/m9.figshare.19793444.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    figshare
    Authors
    Peiyao Zhao; Jiaqiang Zhu; Ying Ma; Xiang Zhou
    License

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

    Description

    Additional file 3: Table S3. scRNA data used as reference for deconvolution in CARD.

  19. F

    10-Year 0-1/4% Treasury Inflation-Indexed Note, Due 1/15/2025 (DISCONTINUED)...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). 10-Year 0-1/4% Treasury Inflation-Indexed Note, Due 1/15/2025 (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/DTP10J25
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    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.

  20. F

    30-Year 0-5/8% Treasury Inflation-Indexed Bond, Due 2/15/2043

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2025
    + more versions
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    (2025). 30-Year 0-5/8% Treasury Inflation-Indexed Bond, Due 2/15/2043 [Dataset]. https://fred.stlouisfed.org/series/DTP30F43
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year 0-5/8% Treasury Inflation-Indexed Bond, Due 2/15/2043 (DTP30F43) from 2013-03-11 to 2025-08-04 about fees, TIPS, 30-year, bonds, Treasury, and USA.

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(2025). Inflation Between 0 and 1.5 Percent [Dataset]. https://fred.stlouisfed.org/series/STLPPMLOW

Inflation Between 0 and 1.5 Percent

STLPPMLOW

Explore at:
jsonAvailable download formats
Dataset updated
Aug 1, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Description

Graph and download economic data for Inflation Between 0 and 1.5 Percent (STLPPMLOW) from Jan 1990 to Jul 2025 about percent, inflation, price, and USA.

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