100+ datasets found
  1. Tax credits and benefits – inflation adjustment

    • open.canada.ca
    • datasets.ai
    • +1more
    csv, html, xlsx
    Updated Jun 13, 2025
    + more versions
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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 13, 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_DES_ZIP - Dataset...

    • portal.tad3.org
    Updated Nov 17, 2024
    + more versions
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    (2024). INCOME AND BENEFITS (IN INFLATION-ADJUSTED DOLLARS) - DP03_DES_ZIP - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/income-and-benefits-in-inflation-adjusted-dollars-dp03_des_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. F

    Employment Cost Index: Benefits: Private Industry Workers: Manufacturing

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Benefits: Private Industry Workers: Manufacturing [Dataset]. https://fred.stlouisfed.org/series/ECIMANBEN
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 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 Q1 2025 about ECI, benefits, workers, private industries, private, manufacturing, industry, inflation, and USA.

  4. F

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

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
    + more versions
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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
    Apr 30, 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 Q1 2025 about state & local, ECI, benefits, workers, government, inflation, and USA.

  5. 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 .

  6. 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.

  7. F

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

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
    + more versions
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    (2025). Employment Cost Index: Benefits: Private Industry Workers: Service Occupations [Dataset]. https://fred.stlouisfed.org/series/ECISRVBEN
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 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 Q1 2025 about ECI, occupation, benefits, workers, private industries, services, private, industry, inflation, and USA.

  8. Bureau of Labor Statistics Unemployment and Inflation

    • redivis.com
    • columbia.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://redivis.com/datasets/ymdq-1a9mgdxff
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    arrow, avro, csv, parquet, spss, application/jsonl, stata, sasAvailable 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

  9. 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.

  10. w

    Consumer Price Indices

    • data360.worldbank.org
    Updated Aug 18, 2020
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    (2020). Consumer Price Indices [Dataset]. https://data360.worldbank.org/en/dataset/FAO_CP
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    Dataset updated
    Aug 18, 2020
    License

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

    Time period covered
    2000 - 2024
    Description

    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.

  11. 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.

  12. n

    Consumer Price Index (CPI)

    • db.nomics.world
    Updated Jul 11, 2025
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    DBnomics (2025). Consumer Price Index (CPI) [Dataset]. https://db.nomics.world/IMF/CPI
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    Dataset updated
    Jul 11, 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.

  13. 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.

  14. 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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    excel xlsx, excel xls, pdfAvailable download formats
    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.

  15. J

    Can inflation data improve the real-time reliability of output gap...

    • journaldata.zbw.eu
    .data, bin, pdf, txt +1
    Updated Dec 8, 2022
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    Christophe Planas; Alessandro Rossi; Christophe Planas; Alessandro Rossi (2022). Can inflation data improve the real-time reliability of output gap estimates? (replication data) [Dataset]. http://doi.org/10.15456/jae.2022314.1316437764
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    .data(4383), pdf(157207), pdf(109412), txt(31), bin(909312), txt(2496), xls(4182528), .data(3435), .data(4034), .data(4821)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Christophe Planas; Alessandro Rossi; Christophe Planas; Alessandro Rossi
    License

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

    Description

    Potential output plays a central role in monetary policy and short-term macroeconomic policy making. Yet, characterizing the output gap involves a trend-cycle decomposition, and unobserved component estimates are typically subject to a large uncertainty at the sample end. An important consequence is that output gap estimates can be quite inaccurate in real time, as recently highlighted by Orphanides and van Norden (2002), and this causes a serious problem for policy makers. For the cases of the US, EU-11 and two EU countries, we evaluate the benefits of using inflation data for improving the accuracy of real-time estimates.

  16. 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.

  17. Health and Medical Insurance Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). Health and Medical Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/health-and-medical-insurance-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 22, 2024
    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

    Health and Medical Insurance Market Outlook



    The global health and medical insurance market size was valued at approximately $2.8 trillion in 2023 and is projected to reach around $4.5 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.4% during the forecast period. This robust growth can be attributed to a combination of factors, including rising healthcare costs, increasing awareness about the importance of health insurance, and an aging global population. The market's expansion is further supported by technological advancements that streamline the insurance process and enhance customer experience.



    One of the primary growth drivers in this market is the escalating cost of healthcare services worldwide. Medical inflation is outpacing general inflation, leading to higher out-of-pocket expenses for individuals. This has created a significant demand for health and medical insurance as a financial safety net. Furthermore, advancements in medical technology and the introduction of new treatment methods are contributing to higher healthcare costs, which in turn boosts the demand for insurance coverage. Governments and private entities are increasingly collaborating to make health insurance more accessible and affordable, thus driving market growth.



    Another crucial factor contributing to the market's growth is the increasing awareness and understanding of health insurance benefits among the global population. With the proliferation of information through digital media and government initiatives, more people are becoming aware of the financial and health security that insurance provides. Educational campaigns and policy reforms are playing a pivotal role in educating the masses about the necessity of health insurance, thereby leading to higher enrollment rates. Additionally, employers are also recognizing the importance of offering health benefits to their employees, which further adds to the market's growth.



    The aging global population is another significant driver for the health and medical insurance market. As the population ages, the prevalence of chronic diseases and the need for long-term care increase. Older adults are more likely to require frequent medical attention, making health insurance a crucial component of their financial planning. This demographic shift is particularly pronounced in developed countries, but emerging markets are also beginning to experience similar trends. Consequently, insurance providers are developing specialized products to cater to the needs of an aging population, thereby expanding their customer base.



    Regionally, the market growth is expected to vary significantly. North America currently dominates the market, thanks to high healthcare costs, comprehensive insurance plans, and government mandates like the Affordable Care Act. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. This can be attributed to improving economic conditions, increased healthcare spending, and growing awareness about health insurance. Countries like China and India are implementing extensive healthcare reforms, making insurance more accessible to their vast populations. Europe and Latin America are also expected to show steady growth, supported by government initiatives and increasing private sector participation.



    Type Analysis



    The health and medical insurance market can be segmented by type into individual health insurance, family health insurance, critical illness insurance, and others. Individual health insurance plans are designed to cover a single person, offering customized coverage based on personal health needs. This segment is experiencing significant growth due to the increasing number of self-employed individuals and freelancers who require personal health coverage. Additionally, the rise in single-person households is contributing to the demand for individual health insurance plans.



    Family health insurance plans cover the entire family under a single policy. These plans are becoming increasingly popular as they offer comprehensive coverage for all family members, often at a lower cost compared to purchasing individual policies for each member. The convenience and cost-effectiveness of family health insurance plans are driving their adoption, especially among young families who are looking to secure their health future. Moreover, insurers are offering flexible plans that can be tailored to meet the specific health needs of families, further boosting this segment.



    Critical illness insurance is another vital segment

  18. G

    Crédits d’impôt et prestations – rajustement en fonction de l’inflation

    • ouvert.canada.ca
    • data.ontario.ca
    csv, html, xlsx
    Updated Jun 13, 2025
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    Gouvernement de l'Ontario (2025). Crédits d’impôt et prestations – rajustement en fonction de l’inflation [Dataset]. https://ouvert.canada.ca/data/fr/dataset/b8001156-e2bb-48bb-bc32-dd99bb34e408
    Explore at:
    csv, xlsx, htmlAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Gouvernement de l'Ontario
    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

    Les donnees comprennent les informations suivantes au sujet des divers credits d'impot et prestations : * plafonds * paliers de revenu * taux d'elimination progressive Chaque annee, les plafonds et les paliers de revenu de certains credits et prestations sont rajustes en fonction de l'inflation. Vous pouvez telecharger les ensembles de donnees pour voir ces rajustements.

  19. H

    Unemployment Benefits and Financial Leverage in an Agent Based Macroeconomic...

    • data.niaid.nih.gov
    pdf
    Updated Nov 25, 2013
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    Luca Riccetti; Alberto Russo; Mauro Gallegati (2013). Unemployment Benefits and Financial Leverage in an Agent Based Macroeconomic Model [Dataset] [Dataset]. http://doi.org/10.7910/DVN/23512
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 25, 2013
    Authors
    Luca Riccetti; Alberto Russo; Mauro Gallegati
    License

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

    Description

    This paper is aimed at investigating the effects of government intervention through unemployment benefits on macroeconomic dynamics in an agent based decentralized matching framework. The major result is that the presence of such a public intervention in the economy stabilizes the aggregate demand and the financial conditions of the system at the cost of a modest increase of both the inflation rate and the ratio between public deficit and nominal GDP. The successful action of the public sector is sustained by the central bank which is committed to buy outstanding government securities.

  20. Inflation rate of Iran 2030

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Inflation rate of Iran 2030 [Dataset]. https://www.statista.com/statistics/294320/iran-inflation-rate/
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Iran
    Description

    Iran’s inflation rate rose sharply to 34.79 percent in 2019 and was projected to rise another 14 percentage points before slowly starting to decline. Given the recent sanctions by the United States regarding the nuclear deal, this number has both political and economic implications. Political implications President Hassan Rouhani won the 2017 election based on economic promises, many stemming from the Joint Comprehensive Plan of Action (JCPOA), commonly known as the Iran Nuclear Deal. Lifting these sanctions opened the Iranian economy to many opportunities, including the chance to benefit from increased oil exports. The JCPOA was an integral part of the Rouhani campaign, so any economic hardship that is linked to the deal will likely be blamed on the president. Economic implications High inflation leads to high interest rates, which leads to less borrowing. Less borrowing means less investment, which slows economic growth. This slower growth often leads to higher inflation, which is what economists call an inflationary spiral. As such, Iran will have difficulty achieving substantial GDP growth until inflation returns to manageable rates.

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TwitterTwitter
Email
Click to copy link
Link copied
Close
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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
Organization logo

Tax credits and benefits – inflation adjustment

Explore at:
csv, xlsx, htmlAvailable download formats
Dataset updated
Jun 13, 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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