97 datasets found
  1. Tax credits and benefits – inflation adjustment

    • open.canada.ca
    • datasets.ai
    • +1more
    csv, html, xlsx
    Updated Jun 25, 2025
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    Government of Ontario (2025). Tax credits and benefits – inflation adjustment [Dataset]. https://open.canada.ca/data/en/dataset/b8001156-e2bb-48bb-bc32-dd99bb34e408
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    csv, xlsx, htmlAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Jun 30, 2026
    Description

    The data includes the following information for various tax credits and benefits: * maximum amounts * income ranges * phase-out rates Each year the maximum amounts and income ranges for certain credits and benefits are adjusted for inflation. You can download the dataset to view these adjustments.

  2. t

    INCOME AND BENEFITS (IN INFLATION-ADJUSTED DOLLARS) - DP03_MAN_ZIP - Dataset...

    • portal.tad3.org
    Updated Nov 17, 2024
    + more versions
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    (2024). INCOME AND BENEFITS (IN INFLATION-ADJUSTED DOLLARS) - DP03_MAN_ZIP - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/income-and-benefits-in-inflation-adjusted-dollars-dp03_man_zip
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    Dataset updated
    Nov 17, 2024
    License

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

    Description

    SELECTED ECONOMIC CHARACTERISTICS INCOME AND BENEFITS (IN 2021 2022 INFLATION-ADJUSTED DOLLARS) - DP03 Universe - Total households Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Total income is the sum of the amounts reported separately for wage or salary income; net self-employment income; interest, dividends, or net rental or royalty income or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); public assistance or welfare payments; retirement, survivor, or disability pensions; and all other income. Receipts from the following sources are not included as income: capital gains, money received from the sale of property (unless the recipient was engaged in the business of selling such property); the value of income “in kind” from food stamps, public housing subsidies, medical care, employer contributions for individuals, etc.; withdrawal of bank deposits; money borrowed; tax refunds; exchange of money between relatives living in the same household; gifts and lump-sum inheritances, insurance payments, and other types of lump sum receipts.

  3. US Inflation and Unemployment

    • console.cloud.google.com
    Updated Jul 21, 2018
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    https://console.cloud.google.com/marketplace/browse?filter=partner:U.S.%20Bureau%20of%20Labor%20Statistics&inv=1&invt=Ab1DWw (2018). US Inflation and Unemployment [Dataset]. https://console.cloud.google.com/marketplace/product/bls-public-data/cpi-unemployement
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    Dataset updated
    Jul 21, 2018
    Dataset provided by
    Googlehttp://google.com/
    Description

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS). This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  4. o

    Replication data for: Public Debt and Changing Inflation Targets

    • openicpsr.org
    Updated Oct 1, 2016
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    Michael U. Krause; Stéphane Moyen (2016). Replication data for: Public Debt and Changing Inflation Targets [Dataset]. http://doi.org/10.3886/E114060V1
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    Dataset updated
    Oct 1, 2016
    Dataset provided by
    American Economic Association
    Authors
    Michael U. Krause; Stéphane Moyen
    Description

    What are the effects of a higher central bank inflation target on the burden of real public debt? Several recent proposals have suggested that even a moderate increase in the inflation target can have a pronounced effect on real public debt. We consider this question in a New Keynesian model with a maturity structure of public debt and an imperfectly observed inflation target. We find that moderate changes in the inflation target only have significant effects on real public debt if they are essentially permanent. Moreover, the additional benefits of not communicating a change in the inflation target are minor.

  5. F

    Employment Cost Index: Benefits: State and Local Government: All Workers

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
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    (2025). Employment Cost Index: Benefits: State and Local Government: All Workers [Dataset]. https://fred.stlouisfed.org/series/ECIGVTBEN
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    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Benefits: State and Local Government: All Workers (ECIGVTBEN) from Q1 2001 to Q2 2025 about ECI, state & local, benefits, workers, government, inflation, and USA.

  6. Bureau of Labor Statistics Unemployment and Inflation

    • columbia.redivis.com
    • redivis.com
    application/jsonl +7
    Updated Dec 14, 2020
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    Columbia Data Platform Demo (2020). Bureau of Labor Statistics Unemployment and Inflation [Dataset]. https://columbia.redivis.com/datasets/ymdq-1a9mgdxff
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    application/jsonl, parquet, arrow, stata, sas, spss, avro, csvAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Dec 31, 2020
    Description

    Abstract

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

    Documentation

    Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

  7. H

    Replication data for: Partially Independent Central Banks, Politically...

    • dataverse.harvard.edu
    Updated Jan 21, 2009
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    Harvard Dataverse (2009). Replication data for: Partially Independent Central Banks, Politically Responsive Governments, and Inflation: Central Banks, Governments, and Inflation [Dataset]. http://doi.org/10.7910/DVN/0SV6CF
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    pdf(33174), tsv(26179), application/x-zip-compressed(310981), pdf(257192)Available download formats
    Dataset updated
    Jan 21, 2009
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Theories of central bank independence have more exact implications regarding inflation in different political-economic environments than generally understood or empirically examined. They imply that inflation in any given country-time will be a weighted average of what it would be if the central bank completely controlled monetary policy and what it would be if the government completely controlled it, with the degree of central bank independence weighting the former. An equation embodying this theoretical expectation is estimated by constrained least-squares from a time-series c ross-section of inflation rates in developed democracies since the Bretton Woods era. The results confirm that the anti-inflationary benefit of central bank independence is not constant but rather depends on every variable in the broader political-economic environment to which wholly autonomous central banks and governments would respond differently. Conversely, the inflationary impacts of all such political-economic variables depend on the degree of central bank independence.

  8. Opinion on inflation adjustment of the Family 500+ benefit in Poland 2022

    • statista.com
    Updated Apr 10, 2024
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    Statista (2024). Opinion on inflation adjustment of the Family 500+ benefit in Poland 2022 [Dataset]. https://www.statista.com/statistics/1316407/poland-opinion-on-inflation-adjustment-of-the-family-500-benefit/
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    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 3, 2022 - Jun 4, 2022
    Area covered
    Poland
    Description

    In 2022, more than 60 percent of Poles stated that the Family 500+ benefit should be indexed for inflation every year.

  9. F

    Employment Cost Index: Benefits: Private Industry Workers: Manufacturing

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Employment Cost Index: Benefits: Private Industry Workers: Manufacturing [Dataset]. https://fred.stlouisfed.org/series/ECIMANBEN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Benefits: Private Industry Workers: Manufacturing (ECIMANBEN) from Q1 2001 to Q2 2025 about ECI, benefits, workers, private industries, private, manufacturing, industry, inflation, and USA.

  10. u

    Tax credits and benefits – inflation adjustment - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Tax credits and benefits – inflation adjustment - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-b8001156-e2bb-48bb-bc32-dd99bb34e408
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    Dataset updated
    Oct 1, 2024
    Description

    The data includes the following information for various tax credits and benefits: * maximum amounts * income ranges * phase-out rates Each year the maximum amounts and income ranges for certain credits and benefits are adjusted for inflation. You can download the dataset to view these adjustments.

  11. Shoe-Leather Costs of Inflation and Policy Credibility

    • icpsr.umich.edu
    Updated Apr 30, 1999
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    Pakko, Michael R. (1999). Shoe-Leather Costs of Inflation and Policy Credibility [Dataset]. http://doi.org/10.3886/ICPSR01197.v1
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    Dataset updated
    Apr 30, 1999
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Pakko, Michael R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1197/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1197/terms

    Area covered
    United States
    Description

    Inflation can cause costly misallocations of resources as consumers seek to protect the purchasing power of their nominal assets. This research deals with the nature of these distortions, known as "shoe-leather costs," in a model where the demand for money is motivated by a shopping-time constraint. While the estimates of the shoe-leather costs of long-run inflation (implied by this model) are generally consistent with previous studies, the research shows that the transition between inflation rates can involve dynamics that alter the nature of these welfare effects. Specifically, the benefits of a disinflation policy are mitigated by the gradual adjustment of the economy in response to a lower inflation rate. This transition can be particularly protracted when there is uncertainty about the credibility of the disinflation policy.

  12. Inflation rate in India 2030

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Aaron O'Neill (2025). Inflation rate in India 2030 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F9230%2Fstagflation%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Description

    The statistic shows the inflation rate in India 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 2024, the inflation rate in India was around 4.67 percent compared to the previous year. See figures on India's economic growth for additional information. India's inflation rate and economy Inflation is generally defined as the increase of prices of goods and services over a certain period of time, as opposed to deflation, which describes a decrease of these prices. Inflation is a significant economic indicator for a country. The inflation rate is the rate at which the general rise in the level of prices, goods and services in an economy occurs and how it affects the cost of living of those living in a particular country. It influences the interest rates paid on savings and mortgage rates but also has a bearing on levels of state pensions and benefits received. A 4 percent increase in the rate of inflation in 2011 for example would mean an individual would need to spend 4 percent more on the goods he was purchasing than he would have done in 2010. India’s inflation rate has been on the rise over the last decade. However, it has been decreasing slightly since 2010. India’s economy, however, has been doing quite well, with its GDP increasing steadily for years, and its national debt decreasing. The budget balance in relation to GDP is not looking too good, with the state deficit amounting to more than 9 percent of GDP.

  13. F

    Employment Cost Index: Benefits: Private Industry Workers: Service...

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Employment Cost Index: Benefits: Private Industry Workers: Service Occupations [Dataset]. https://fred.stlouisfed.org/series/ECISRVBEN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Benefits: Private Industry Workers: Service Occupations (ECISRVBEN) from Q1 2002 to Q2 2025 about ECI, occupation, benefits, workers, private industries, private, services, industry, inflation, and USA.

  14. N

    Nitrogen Tire Inflator Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 4, 2025
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    Archive Market Research (2025). Nitrogen Tire Inflator Report [Dataset]. https://www.archivemarketresearch.com/reports/nitrogen-tire-inflator-120588
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global nitrogen tire inflator market is experiencing robust growth, projected to reach a market size of $78 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.5% from 2025 to 2033. This expansion is fueled by several key factors. The increasing awareness among vehicle owners and fleet managers about the benefits of nitrogen inflation, including improved tire pressure retention, enhanced fuel efficiency, and extended tire lifespan, is driving significant demand. Furthermore, stringent emission regulations globally are pushing for fuel-efficient vehicles, indirectly boosting the adoption of nitrogen tire inflators. The automotive industry's continuous innovation in tire technology and the rise of electric vehicles (EVs), which are particularly sensitive to tire pressure fluctuations, are further contributing to market growth. The market is segmented by type (manual, semi-automatic, automatic) and application (passenger cars, motorcycles, buses, trucks, others). The automatic segment is expected to dominate due to its convenience and precision, while the passenger car segment holds the largest application share, reflecting the high volume of passenger vehicles globally. Growth will likely be geographically diverse, with North America and Europe maintaining significant market shares, while the Asia-Pacific region is expected to witness substantial expansion driven by the growing automotive sector in countries like China and India. Competitive landscape analysis reveals a mix of established players like Bosch and emerging companies such as Karjoys and NitroFill. These companies are focusing on product innovation, expanding distribution networks, and strategic partnerships to strengthen their market positions. Future market growth will depend on factors such as technological advancements in inflator designs, the integration of smart features, and the development of cost-effective solutions to cater to a wider consumer base. Continued regulatory support for fuel efficiency and tire safety standards will also significantly impact market trajectory. While challenges such as initial higher costs compared to traditional air inflation methods may persist, the long-term benefits of nitrogen inflation are likely to outweigh these concerns, leading to sustained market growth in the forecast period.

  15. n

    Consumer Price Index (CPI)

    • db.nomics.world
    Updated Aug 18, 2025
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    DBnomics (2025). Consumer Price Index (CPI) [Dataset]. https://db.nomics.world/IMF/CPI
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    Dataset updated
    Aug 18, 2025
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Description

    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.

  16. Extent the business or organization considers inflation when setting wages...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +3more
    Updated Nov 25, 2022
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    Government of Canada, Statistics Canada (2022). Extent the business or organization considers inflation when setting wages and salaries, fourth quarter of 2022 [Dataset]. http://doi.org/10.25318/3310061501-eng
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    Dataset updated
    Nov 25, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Extent the business or organization considers inflation when setting wages and salaries, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2022.

  17. g

    World Bank - Consumer Price Indices

    • gimi9.com
    Updated Aug 18, 2020
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    (2020). World Bank - Consumer Price Indices [Dataset]. https://gimi9.com/dataset/worldbank_fao_cp/
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    Dataset updated
    Aug 18, 2020
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🏳️‍🌈 International Organization English The FAOSTAT monthly Food CPI and General CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB), UNdata, United Nations Conference on Trade and Development (UNCTAD) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. Data gaps on monthly Food CPI and General CPI are filled using statistical estimation procedures to have full data coverage for all countries for Food CPI and for General CPI. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The General CPI is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts. The FAOSTAT monthly Food CPI inflation rates are annual year-over-year inflation or percentage change over corresponding month of the previous year. The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details. This collection includes only a subset of indicators from the source dataset.

  18. e

    New methods for forecasting inflation and its sub-components: Applications...

    • b2find.eudat.eu
    Updated May 8, 2023
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    (2023). New methods for forecasting inflation and its sub-components: Applications to the UK, USA and South Africa - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/46dd3e2e-0488-5f01-9585-66686e20b244
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    Dataset updated
    May 8, 2023
    Area covered
    United States, United Kingdom, South Africa
    Description

    The aim is to forecast the chief components of inflation (such as changes in fuel prices, food prices and prices of durable goods) for the USA, UK and South Africa, and to test whether the weighted sum of the component forecasts gives a more accurate overall forecast for inflation, than simply forecasting overall inflation itself. In the long run, the ratios of these prices to the overall consumer price index have altered because of technological changes and globalization, among other factors. For example, the prices of internationally traded consumer goods have fallen relative to prices of services. By building separate models for the components, the long-run information in the data and specific economic features likely to drive each component can be exploited. These models will test for asymmetries, such as the tendency of petrol prices to respond faster to rises than to falls in oil prices. The models should help better understand the causes of overall inflation through understanding the inflation trends of the underlying sectors. Modelling the components separately should also highlight where interest rate policy could be effective, and where other policies such as competition policy or price regulation might have complementary benefits.

  19. D

    Inflation Devices Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Inflation Devices Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-inflation-devices-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Inflation Devices Market Outlook




    The global inflation devices market size was estimated to be USD 500 million in 2023 and is projected to reach approximately USD 850 million by 2032, growing at a Compound Annual Growth Rate (CAGR) of 6.2% during the forecast period. The primary factors driving the growth of this market include advancements in minimally invasive surgical procedures, an increasing prevalence of chronic diseases, and a rising demand for technologically advanced devices.




    One of the main growth factors of the inflation devices market is the rising prevalence of cardiovascular diseases, which are among the leading causes of death globally. Technological advancements in medical devices have significantly improved patient outcomes in procedures like angioplasty, where inflation devices are essential. The increasing number of such procedures, driven by a growing elderly population and unhealthy lifestyle choices, is expected to fuel the demand for these devices. Furthermore, the continuous development and adoption of minimally invasive surgical techniques, which utilize inflation devices, are boosting market growth.




    Another critical factor contributing to the expansion of the inflation devices market is the increasing investment in healthcare infrastructure, particularly in emerging economies. Governments and private entities are increasingly investing in advanced medical facilities, which in turn raises the demand for sophisticated medical devices like inflation devices. Additionally, the rising awareness about the benefits of early diagnosis and treatment of various diseases is propelling the market. Educational initiatives and health campaigns have played an essential role in increasing the number of diagnostic and surgical procedures, thereby augmenting the utilization of inflation devices.




    Moreover, innovations in material science and engineering have led to the development of more efficient and durable inflation devices. Devices with enhanced accuracy, safety, and ease of use are finding favor among healthcare professionals, thereby driving their adoption. The focus on patient safety and the need for precise control during procedures have resulted in widespread acceptance of advanced inflation devices. This trend is expected to continue as manufacturers invest in research and development to create even more sophisticated devices.



    The advent of the Digital Inflation Device has marked a significant milestone in the evolution of inflation devices. These devices integrate digital technology to provide enhanced precision and control during medical procedures. By offering real-time feedback and data analytics, digital inflation devices empower healthcare professionals to make informed decisions, thereby improving patient outcomes. The incorporation of digital interfaces also facilitates easier operation and reduces the likelihood of human error, making these devices highly desirable in complex surgical environments. As the healthcare industry continues to embrace digital transformation, the demand for digital inflation devices is expected to rise, further propelling the growth of the inflation devices market.




    Regionally, North America is expected to dominate the inflation devices market, owing to its well-established healthcare infrastructure, high adoption rate of advanced medical technologies, and significant healthcare expenditure. Europe follows closely due to similar factors, along with robust government support for healthcare innovation. The Asia Pacific region is anticipated to witness the highest growth rate due to increasing healthcare investments, a large patient pool, and rising awareness about advanced medical treatments. Latin America and Middle East & Africa are also expected to experience steady growth, driven by improving healthcare facilities and economic development.



    Product Type Analysis




    The product type segment of the inflation devices market can be broadly categorized into balloon inflation devices, syringe inflation devices, and others. Balloon inflation devices hold the largest share in this segment due to their widespread use in cardiovascular and interventional procedures. These devices are preferred by healthcare professionals for their precision and ease of use. The increasing prevalence of cardiovascular diseases, coupled with a rise in the number of angioplasty and other i

  20. e

    Consumer price index

    • data.europa.eu
    excel xls, excel xlsx +1
    Updated Feb 9, 2018
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    North Gate II & III - INS (STATBEL - Statistics Belgium) (2018). Consumer price index [Dataset]. https://data.europa.eu/data/datasets/78b06e72e3614d1019d54adf9ff84d7f4b23c35f?locale=en
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    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Purpose and brief description The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. The index does not necessarily measure the price level of this basket for a specific period of time, but rather the fluctuation between two periods, the first one acting as basis for comparison. Moreover, this difference in the price level is not measured in absolute, but in relative terms. The consumer price index can be determined as a hundred times the ratio between the observed prices of a range of goods and services at a given time and the prices of the same goods and services, observed under the same circumstances during the reference period, chosen as basis for comparison. Price observations always take place in the same regions. Since 2014, the consumer price index has been a chain index in which the weighting reference period is regularly shifted and prices and quantities are no longer compared between the current period and a fixed reference period, but the current period is compared with an intermediate period. By multiplying these short-term indices, and so creating a chain, we get a long-term series with a fixed reference period. Population Belgian private households Data collection method and possible sampling Survey technique applied using a computer, based on the use of electronic questionnaires and laptops. Frequency Monthly. Timing of publication The results are available on the penultimate working day of the reference period. Definitions Weight (CPI): The weight represents the importance of the goods and services included in the CPI in the total expenditure patterns of the households. Weights are determined based on the household budget survey. Consumer price index (CPI): The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. Health index: The health index is derived from the consumer price index and has been published since January 1994. The current value of this index is determined by removing a number of products from the consumer price index product basket, in particular alcoholic beverages (bought in a shop or consumed in a bar), tobacco products and motor fuels except for LPG. Inflation: Inflation is defined as the ratio between the value of the consumer price index of a given month and the index of the same month the year before. Therefore, inflation measures the rhythm of the evolution of the overall price level. Consumer price index without petroleum products: This index is calculated by removing the following products from the consumer price index: butane, propane, liquid fuels and motor fuels. Consumer price index without energy products: This index is calculated by removing the following products from the consumer price index: electricity, natural gas, butane, propane, liquid fuels, solid fuels and motor fuels. Smoothed index: The smoothed health index, also called smoothed index (the average value of the health indexes of the last 4 months) is used as a basis for the indexation of retirement pensions, social security benefits and some salaries and wages. Public wages and social benefits are indexed as soon as the smoothed index reaches a given value, called the central index. The smoothed index is also called moving average. In order to perform a 2% index jump (laid down in the Law of 23 April 2015 on employment promotion), the smoothed health index has been temporarily blocked at its value of March 2015 (100.66). The smoothed health index was then reduced by 2% from April 2015. When the reduced smoothed health index (also called the reference index) had increased again by 2% or in other words when it had exceeded the value of 100.66, the index was no longer blocked. It occurred in April 2016. Since April 2016 the smoothed health index is calculated in the same manner as the reference index and therefore corresponds to the arithmetical mean of the health indexes of the last 4 months multiplied by a factor of 0.98. The central index is a predetermined threshold value against which the smoothed health index is compared. If the central index is reached or exceeded, there is an indexation of the wages and salaries or benefits. This indexation is proportional to the percentage between the old and the new central index. For the public sector and social benefits, the difference between the central indices always amounts to 2 %. Therefore, a 2 % indexation is applied every time the central index is reached. There are also collective labour agreements according to which the difference between the central indices amounts to 1 % or 1.5 %. The reaching of a central index then leads to an indexation of 1 % or 1,5 %. See also: https://bosa.belgium.

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Government of Ontario (2025). Tax credits and benefits – inflation adjustment [Dataset]. https://open.canada.ca/data/en/dataset/b8001156-e2bb-48bb-bc32-dd99bb34e408
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Tax credits and benefits – inflation adjustment

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csv, xlsx, htmlAvailable download formats
Dataset updated
Jun 25, 2025
Dataset provided by
Government of Ontariohttps://www.ontario.ca/
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Time period covered
Jan 1, 2019 - Jun 30, 2026
Description

The data includes the following information for various tax credits and benefits: * maximum amounts * income ranges * phase-out rates Each year the maximum amounts and income ranges for certain credits and benefits are adjusted for inflation. You can download the dataset to view these adjustments.

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