100+ datasets found
  1. Inflation 101

    • clevelandfed.org
    Updated May 5, 2019
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    Federal Reserve Bank of Cleveland (2019). Inflation 101 [Dataset]. https://www.clevelandfed.org/center-for-inflation-research/inflation-101
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    Dataset updated
    May 5, 2019
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Here is your guide to understanding inflation. The Cleveland Fed's Center for Inflation Research provides inflation basics and explanations of inflation essentials for you to explore.

  2. Consumer Price Data and Measures Explained

    • clevelandfed.org
    csv
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    Federal Reserve Bank of Cleveland, Consumer Price Data and Measures Explained [Dataset]. https://www.clevelandfed.org/center-for-inflation-research/consumer-price-data
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    csvAvailable download formats
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Learn the differences between the consumer price index (CPI) and the personal consumption expenditures (PCE) price index. Find out what measures are used to gauge underlying inflation, or the long-term trend in prices, such as median and trimmed-mean inflation rates and core inflation.

  3. k

    Data from: Shocks, Frictions, and Policy Regimes: Understanding Inflation...

    • kansascityfed.org
    pdf
    Updated Sep 20, 2024
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    (2024). Shocks, Frictions, and Policy Regimes: Understanding Inflation after the COVID-19 Pandemic [Dataset]. https://www.kansascityfed.org/research/research-working-papers/shocks-frictions-and-policy-regimes-understanding-inflation-after-the-covid-19-pandemic/
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    pdfAvailable download formats
    Dataset updated
    Sep 20, 2024
    Description

    Fiscal and monetary policies likely contributed to the persistent rise in inflation during the post-pandemic period.

  4. Data from: Explaining Apparent Changes in the Phillips Curve: Trend...

    • clevelandfed.org
    Updated Jan 1, 2008
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    Federal Reserve Bank of Cleveland (2008). Explaining Apparent Changes in the Phillips Curve: Trend Inflation Isn't Constant [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2008/ec-20080101-explaining-apparent-changes-in-the-phillips-curve-trend-inflation-isnt-constant
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    Dataset updated
    Jan 1, 2008
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Monetary policymakers look to the Phillips curve—an expression of the relationship between inflation and the degree to which the economy is operating relative to its potential—for information about the cost of actions undertaken to lower inflation. Recent estimations of the curve suggest it is deviating from historical norms. We argue that changes in trend inflation and Fed operating procedures are not being taken into account in these estimations and that when they are, changes in the curve are minor and need not concern policymakers.

  5. Fed Talk: Understanding Inflation Expectations

    • clevelandfed.org
    Updated Oct 8, 2025
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    Federal Reserve Bank of Cleveland (2025). Fed Talk: Understanding Inflation Expectations [Dataset]. https://www.clevelandfed.org/events/fedtalk/2025/ft-20251008-understanding-inflation-expectations
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    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Join us for a discussion about the importance of understanding inflation expectations for businesses and consumers.

  6. g

    Replication data for: Can Rational Expectations Sticky-Price Models Explain...

    • datasearch.gesis.org
    • openicpsr.org
    Updated Dec 6, 2019
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    Rudd, Jeremy; Whelan, Karl (2019). Replication data for: Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics? [Dataset]. http://doi.org/10.3886/E116078
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    Dataset updated
    Dec 6, 2019
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Rudd, Jeremy; Whelan, Karl
    Description

    The canonical inflation specification in sticky-price rational expectations models (the new-Keynesian Phillips curve) is often criticized for failing to account for the dependence of inflation on its own lags. In response, many studies employ a "hybrid" specification in which inflation depends on its lagged and expected future values, together with a driving variable such as the output gap. We consider some simple tests of the hybrid model that are derived from its closed form. We find that the hybrid model describes inflation dynamics poorly, and find little empirical evidence for the type of rational, forward-looking behavior that the model implies.

  7. 💲 🎢 Countries by Inflation rate of 2022

    • kaggle.com
    zip
    Updated Sep 15, 2023
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    meer atif magsi (2023). 💲 🎢 Countries by Inflation rate of 2022 [Dataset]. https://www.kaggle.com/datasets/meeratif/inflation-2022
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    zip(1903 bytes)Available download formats
    Dataset updated
    Sep 15, 2023
    Authors
    meer atif magsi
    Description

    Context:

    Inflation is a critical economic indicator that reflects the overall increase in prices of goods and services within an economy over a specific period. Understanding inflation trends on a global scale is crucial for economists, policymakers, investors, and businesses. This dataset provides comprehensive insights into the inflation rates of various countries for the year 2022. The data is sourced from reputable international organizations and government reports, making it a valuable resource for economic analysis and research.

    Content:

    This dataset includes four essential columns:

    1.**Countries:** The names of countries for which inflation data is recorded. Each row represents a specific country.

    2.**Inflation, 2022:** The inflation rate for each country in the year 2022. Inflation rates are typically expressed as a percentage and indicate the average increase in prices for that year.

    3.**Global Rank:** The rank of each country based on its inflation rate in 2022. Countries with the highest inflation rates will have a lower rank, while those with lower inflation rates will have a higher rank.

    4.**Available Data:** A binary indicator (Yes/No) denoting whether complete and reliable data for inflation in 2022 is available for a particular country. This column helps users identify the data quality and coverage.

    Potential Use Cases:

    -**Economic Analysis:** Researchers and economists can use this dataset to analyze inflation trends globally, identify countries with high or low inflation rates, and make comparisons across regions.

    -**Investment Decisions:** Investors and financial analysts can incorporate inflation data into their risk assessments and investment strategies.

    -**Business Planning:** Companies operating in multiple countries can assess the impact of inflation on their costs and pricing strategies, helping them make informed decisions.

    Data Accuracy: Efforts have been made to ensure the accuracy and reliability of the data; however, users are encouraged to cross-reference this dataset with official sources for critical decision-making processes.

    Updates: This dataset will be periodically updated to include the latest available inflation data, making it an ongoing resource for tracking global inflation trends.

    Acknowledgments: We would like to express our gratitude to the numerous agencies and organizations that collect and publish inflation data, contributing to the transparency and understanding of economic conditions worldwide.

    License: This dataset is provided under an open data license, allowing users to freely use and share the data while adhering to the specified licensing terms.

    Feel free to adapt and expand upon this template to create a comprehensive and informative dataset description for your Kaggle publication on global inflation rates for 2022.

  8. CPI - INFLATION ANALYSIS📈🚀 and FORECASTING 🔎

    • kaggle.com
    zip
    Updated Mar 8, 2025
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    Hrishikesh Suresh (2025). CPI - INFLATION ANALYSIS📈🚀 and FORECASTING 🔎 [Dataset]. https://www.kaggle.com/datasets/hrish4/cpi-inflation-analysis-and-forecasting
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    zip(224082 bytes)Available download formats
    Dataset updated
    Mar 8, 2025
    Authors
    Hrishikesh Suresh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides detailed Consumer Price Index (CPI) data to support economic research, financial forecasting, and market analysis of Food Items in the United States of America from the years 2002 to 2023. The CPI is a crucial economic indicator that measures the average change over time in the prices paid by consumers for goods and services. This dataset is ideal for analyzing inflation trends, assessing purchasing power, and understanding market behavior.

  9. Data from: Understanding Post-Pandemic Surprises in Inflation and the Labor...

    • clevelandfed.org
    Updated Jun 18, 2024
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    Federal Reserve Bank of Cleveland (2024). Understanding Post-Pandemic Surprises in Inflation and the Labor Market [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2024/ec-202411-understanding-postpandemic-surprises
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    Dataset updated
    Jun 18, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Since the COVID-19 pandemic, the United States has experienced sharply rising then falling inflation alongside persistent labor market imbalances. This Economic Commentary interprets these macroeconomic dynamics, as represented by the Beveridge and Phillips curves, through the lens of a macroeconomic model. It uses the structure of the model to rationalize the debate about whether the US economy can expect a hard or soft landing. The model is surprised by the resiliency of the labor market as the US economy experienced disinflation. We suggest that the model’s limited ability to capture this resiliency is a feature of using a linear model to forecast the historically unprecedented movements seen after the pandemic among inflation, unemployment, and vacancy rates. We explain how, by adjusting the model to mimic congestion in a tight labor market and greater wage and price flexibility in a high-inflation environment, as during the post-pandemic period, the model can then capture what has been a path consistent with a soft landing.

  10. h

    countries-inflation

    • huggingface.co
    Updated Oct 17, 2023
    + more versions
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    Aswin (2023). countries-inflation [Dataset]. https://huggingface.co/datasets/aswin1906/countries-inflation
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 17, 2023
    Authors
    Aswin
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Summary

    Inflation is a critical economic indicator that reflects the overall increase in prices of goods and services within an economy over a specific period. Understanding inflation trends on a global scale is crucial for economists, policymakers, investors, and businesses. This dataset provides comprehensive insights into the inflation rates of various countries for the year 2022. The data is sourced from reputable international organizations and government reports… See the full description on the dataset page: https://huggingface.co/datasets/aswin1906/countries-inflation.

  11. Inflation rate in Spain 2030

    • statista.com
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    Statista, Inflation rate in Spain 2030 [Dataset]. https://www.statista.com/statistics/271077/inflation-rate-in-spain/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The statistic shows the inflation rate in Spain from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2023, the average inflation rate in Spain increased by about 3.4 percent compared to the previous year. Inflation in Spain As explained briefly above, inflation is commonly defined as the level of prices for goods and services in a country’s economy over a certain time span. It increases when the total money supply of a country increases, causing the money’s value to decrease, and prices to increase again in turn. Nowadays the term “inflation” is used more or less synonymously with “price level increase”. Its opposite is deflation, which, in short, means a decrease of the price level. Spain and its economy have been severely affected by the financial crisis of 2008 (as can be seen above), when the real estate bubble imploded and caused the demand for goods and services to decrease and the unemployment rate in Spain to increase dramatically. Even though deflation only occurred for one year in 2009 and the price level has been increasing since, Spain’s economy still has a long way to go until full recovery. Apart from the inflation rate and the unemployment rate, gross domestic product / GDP growth in Spain and the trade balance of goods in Spain, i.e. the exports of goods minus the imports, are additional indicators of Spain’s desolate condition during the economic crisis and its slow and difficult recovery ever since. Still, there is a silver lining for Spain’s economy. All in all, things seems to be improving economically, albeit slowly; many key indicators are starting to stabilize or even pick up again, while others still have some recovering to do.

  12. Global Inflation Dataset - (1970~2022)

    • kaggle.com
    zip
    Updated Feb 21, 2023
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    Belayet HossainDS (2023). Global Inflation Dataset - (1970~2022) [Dataset]. https://www.kaggle.com/datasets/belayethossainds/global-inflation-dataset-212-country-19702022/versions/1
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    zip(80411 bytes)Available download formats
    Dataset updated
    Feb 21, 2023
    Authors
    Belayet HossainDS
    Description

    About Dataset

    https://www.tbsnews.net/sites/default/files/styles/big_2/public/images/2021/03/12/inflation_1.jpg" alt="Inflation hits nine-year high in June | undefined">###

    Global Energy, Food, Consumer, and Producer Price Inflation: A Comprehensive Dataset for Understanding Economic Trends

    Key Concepts:

    1. Energy Consumer Price Inflation data.
    2. Food Consumer Price Inflation data.
    3. Headline Consumer Price Inflation data.
    4. Official Core Consumer Price Inflation data.
    5. Producer Price Inflation data.
    6. 206 Countries name, Country code and IMF code.
    7. 52 Years data from 1970 to 2022.

    The global economy is highly complex, and understanding economic trends and patterns is crucial for making informed decisions about investments, policies, and more. One key factor that impacts the economy is inflation, which refers to the rate at which prices increase over time. The Global Energy, Food, Consumer, and Producer Price Inflation dataset provides a comprehensive collection of inflation rates across 206 countries from 1970 to 2022, covering four critical sectors of the economy.

    Finally, the Global Producer Price Inflation dataset provides a detailed look at price changes at the producer level, providing insights into supply chain dynamics and trends. This data can be used to make informed decisions about investments in various sectors of the economy and to develop effective policies to manage producer price inflation.

    In conclusion, the Global Energy, Food, Consumer, and Producer Price Inflation dataset provides a comprehensive resource for understanding economic trends and patterns across 206 countries. By examining this data, analysts can gain insights into the complex factors that impact the economy and make informed decisions about investments, policies, and more.

    Potential User:
    1. Economists and economic researchers
    2. Policy makers and government officials
    3. Investors and financial analysts
    4. Agricultural researchers and policymakers
    5. Energy analysts and policy makers
    6. Food industry professionals
    7. Business leaders and decision makers
    8. Academics and students in economics, finance, and related fields
    
    Acknowledgements:

    The data were collected from the official website of worldbank.org

  13. c

    The Mooch Explains Why Inflation Is Evil Price Prediction Data

    • coinbase.com
    Updated Oct 19, 2025
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    (2025). The Mooch Explains Why Inflation Is Evil Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-the-mooch-explains-why-inflation-is-evil-09d2
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    Dataset updated
    Oct 19, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset The Mooch Explains Why Inflation Is Evil over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  14. Understanding Inflation via Developments in Market and Nonmarket Inflation...

    • clevelandfed.org
    Updated Sep 22, 2025
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    Federal Reserve Bank of Cleveland (2025). Understanding Inflation via Developments in Market and Nonmarket Inflation Rates [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2025/ec-202509-understanding-inflation-developments-in-market-nonmarket-inflation-rates
    Explore at:
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    This Economic Commentary examines the recent behavior and the longer-term properties of market-based and non-market-based inflation series, including their cyclical properties, historical revisions, and predictive power in explaining future PCE inflation. The examination reveals a statistically significant association between market-based PCE inflation and estimates of labor market slack, and a strong positive association between movements in the stock market and in some of the financial services components of non-market-based PCE inflation. Disinflation in overall PCE inflation over the course of 2023 and 2024 was largely driven by disinflation in the market-based components, coinciding with a gradual loosening in labor market conditions.

  15. s

    Understanding the Impact of Inflation on Mutual Fund Returns - Data Table

    • smartinvestello.com
    html
    Updated Nov 7, 2025
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    Smart Investello (2025). Understanding the Impact of Inflation on Mutual Fund Returns - Data Table [Dataset]. https://smartinvestello.com/impact-of-inflation-on-mutual-fund-returns/
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    htmlAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Smart Investello
    License

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

    Description

    Dataset extracted from the post Understanding the Impact of Inflation on Mutual Fund Returns on Smart Investello.

  16. 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.

  17. Harmonised index of consumer prices - monthly data

    • ec.europa.eu
    Updated Oct 10, 2025
    + more versions
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    Eurostat (2025). Harmonised index of consumer prices - monthly data [Dataset]. http://doi.org/10.2908/EI_CPHI_M
    Explore at:
    json, tsv, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+xml;version=3.0.0Available download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    Jan 1996 - Oct 2025
    Area covered
    Greece, Luxembourg, Hungary, Montenegro, Kosovo*, Serbia, European Union, Albania, Norway, United States
    Description

    The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPI) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and Recommendations.

    In addition, the HICP provides the official measure of consumer price inflation in the https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Euro_area">euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro.

    The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three country groups: the euro area (EA), the European Union (EU), and the European Economic Area (https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:European_Economic_Area_(EEA)" target="_blank">EEA), the latter covering Iceland and Norway, in addition to the EU. Liechtenstein does not produce HICP and is therefore not included in the EEA HICP aggregate.

    The official indices for the country-groups reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group indices with stable country composition over time.

    HICP for Albania, Montenegro, North Macedonia, Serbia, Türkiye (candidate countries), as well as Kosovo (*) are also published. Their data is flagged with 'd' ('definition differs'), given that its conformity with the methodological HICP requirements has not been evaluated by Eurostat.

    A proxy-HICP for the all-items index and main headings is also available for the United States.

    National HICPs are produced by National Statistical Institutes (NSIs), while country-group indices (EU, EA and EEA) are produced by https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Eurostat" target="_blank">Eurostat.

    The data are released monthly in Eurostat's database and include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline 'all-items HICP', a number of sub-indices for different goods and services and special aggregates are available.

    Every year, with the release of the January data, the relative weights for the indices and the special aggregates (item weights) as well as the individual countries' weight within the country groups (country weights) are published.

    Eurostat publishes early estimates, called 'flash estimate', of the euro area overall inflation rate and selected components. These are published monthly, usually on the last working day of the reference month.

    (*) Under United Nations Security Council Resolution 1244/99.

  18. Consumer price inflation tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 22, 2025
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    Office for National Statistics (2025). Consumer price inflation tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/consumerpriceinflation
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    xlsxAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

  19. HICP - contributions to EA annual inflation (in percentage points)

    • ec.europa.eu
    Updated Apr 11, 2021
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    Eurostat (2021). HICP - contributions to EA annual inflation (in percentage points) [Dataset]. http://doi.org/10.2908/PRC_HICP_CTRB
    Explore at:
    tsv, json, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.genericdata+xml;version=2.1Available download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    Jan 2002 - Sep 2025
    Area covered
    EA19-2015, EA17-2011, EA15-2008, EA18-2014, EA12-2001, EA13-2007, EA16-2009, Euro area (EA11-1999, EA20-2023)
    Description

    The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPIs) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and Recommendations.

    In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro.

    The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three country groups: the euro area (EA), the European Union (EU), and the European Economic Area (EEA), the latter covering Iceland and Norway, in addition to the EU. Liechtenstein does not produce HICP and is therefore not included in the EEA HICP aggregate.

    The official indices for the country-groups reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group indices with stable country composition over time.

    HICP for Albania, Montenegro, North Macedonia, Serbia, Türkiye (candidate countries), as well as Kosovo (*) are also published. Their data is flagged with 'd' ('definition differs'), given that its conformity with the methodological HICP requirements has not been evaluated by Eurostat.

    A proxy-HICP for the all-items index and main headings is also available for the USA.

    National HICPs are produced by National Statistical Institutes (NSIs), while country-group indices (EU, EA and EEA) are produced by Eurostat.

    The data are released monthly in Eurostat's database and include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline 'all-items HICP', over 400 sub-indices for different goods and services and over 30 special aggregates are available, including the HICP at administered prices (HICP-AP).

    Every year, with the release of the January data, the relative weights for the indices and the special aggregates (item weights) as well as the individual countries' weight within the country groups (country weights) are published.

    The composition of the HICP for administered prices (HICP-AP), i.e. which sub-indices are classified as mainly or fully administered by each Member State, is updated at the same time (more information on HICP-AP can be found under the Specific topics on the web page: Information on data - Harmonised Indices of Consumer Prices (HICP) - Eurostat (europa.eu) (#HICP - administered prices).

    Eurostat publishes early estimates, called 'flash estimate', of the euro area overall inflation rate and selected components. These are published monthly, usually on the last working day of the reference month.

    The HICP at constant tax rates (HICP-CT) is also published every month and follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as value-added tax (VAT) and excise duties, on the overall inflation (more information can be found in the 'HICP-CT Reference methodology document').

    Flags

    Flags used in the Eurostat online database provide information about the status of the data or a specific data value. The list of used flags can be found in the web page Database - Eurostat (europa.eu), above the tree, through the 'i' box 'information on the database' and then 'Flags and special values' topic.

    (*) Under United Nations Security Council Resolution 1244/99.

  20. k

    Data from: Why Has Inflation Persistence Declined?

    • kansascityfed.org
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    Updated Mar 9, 2023
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    (2023). Why Has Inflation Persistence Declined? [Dataset]. https://www.kansascityfed.org/research/economic-bulletin/why-has-inflation-persistence-declined-2018/
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    Dataset updated
    Mar 9, 2023
    Description

    Empirical studies document a decline in inflation persistence in the 1980s, around the time of the Volcker disinflation. The most common explanation for this decline is a more aggressive response of monetary policy to inflation. We propose an alternative explanation: inflation persistence fell due to the lower trend inflation rate the Volcker disinflation produced. Our explanation suggests higher inflation persistence could be an important consideration in the debate about the costs and benefits of a higher inflation target.

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Federal Reserve Bank of Cleveland (2019). Inflation 101 [Dataset]. https://www.clevelandfed.org/center-for-inflation-research/inflation-101
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Inflation 101

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Dataset updated
May 5, 2019
Dataset authored and provided by
Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
Description

Here is your guide to understanding inflation. The Cleveland Fed's Center for Inflation Research provides inflation basics and explanations of inflation essentials for you to explore.

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