100+ datasets found
  1. IMF Africa Inflation Database - Dataset - ADH Data Portal

    • ckan.africadatahub.org
    Updated Aug 29, 2022
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    africadatahub.org (2022). IMF Africa Inflation Database - Dataset - ADH Data Portal [Dataset]. https://ckan.africadatahub.org/dataset/imf-africa-inflation-database
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    Dataset updated
    Aug 29, 2022
    Dataset provided by
    Africa Data Hub
    CKANhttps://ckan.org/
    License

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

    Area covered
    Africa
    Description

    The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.

  2. n

    Consumer Price Index (CPI)

    • db.nomics.world
    Updated Jun 30, 2025
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    DBnomics (2025). Consumer Price Index (CPI) [Dataset]. https://db.nomics.world/IMF/CPI
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    Dataset updated
    Jun 30, 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.

  3. F

    Core Consumer Price Inflation for Iran, Islamic Republic of

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
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    (2024). Core Consumer Price Inflation for Iran, Islamic Republic of [Dataset]. https://fred.stlouisfed.org/series/IRNPCPICOREPCHPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

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

    Area covered
    Iran
    Description

    Graph and download economic data for Core Consumer Price Inflation for Iran, Islamic Republic of (IRNPCPICOREPCHPT) from 2007 to 2025 about Iran, consumer prices, core, REO, consumer, inflation, and rate.

  4. F

    Consumer Price Inflation for Pakistan

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
    + more versions
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    (2024). Consumer Price Inflation for Pakistan [Dataset]. https://fred.stlouisfed.org/series/PAKPCPIPCHPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

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

    Area covered
    Pakistan
    Description

    Graph and download economic data for Consumer Price Inflation for Pakistan (PAKPCPIPCHPT) from 2000 to 2025 about Pakistan, consumer prices, REO, consumer, inflation, and rate.

  5. F

    Consumer Price Inflation for Iraq

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
    + more versions
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    (2024). Consumer Price Inflation for Iraq [Dataset]. https://fred.stlouisfed.org/series/IRQPCPIPCHPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

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

    Area covered
    Iraq
    Description

    Graph and download economic data for Consumer Price Inflation for Iraq (IRQPCPIPCHPT) from 2005 to 2025 about Iraq, consumer prices, REO, consumer, inflation, and rate.

  6. Global inflation rate from 2000 to 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 28, 2025
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    Statista (2025). Global inflation rate from 2000 to 2030 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  7. 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.

  8. s

    Inflation, average consumer prices, Annual percent change (IMF) 1990-2018 -...

    • store.smartdatahub.io
    Updated Jul 13, 2019
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    (2019). Inflation, average consumer prices, Annual percent change (IMF) 1990-2018 - Datasets - This service has been deprecated - please visit https://www.smartdatahub.io/ to access data. See the About page for details. // [Dataset]. https://store.smartdatahub.io/dataset/fi_statistics_finland_inflaatio_imf_en_px
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    Dataset updated
    Jul 13, 2019
    Description

    Inflation, average consumer prices, Annual percent change (IMF) 1990-2018

  9. F

    Consumer Price Inflation for Jordan

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
    + more versions
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    (2024). Consumer Price Inflation for Jordan [Dataset]. https://fred.stlouisfed.org/series/JORPCPIPCHPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

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

    Description

    Graph and download economic data for Consumer Price Inflation for Jordan (JORPCPIPCHPT) from 2000 to 2025 about Jordan, consumer prices, REO, consumer, inflation, and rate.

  10. f

    Data file.

    • plos.figshare.com
    xlsx
    Updated Jul 16, 2024
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    Kalindu Abeywickrama; Nehan Perera; Sithesha Samarathunga; Harshani Pabasara; Ruwan Jayathilaka; Krishantha Wisenthige (2024). Data file. [Dataset]. http://doi.org/10.1371/journal.pone.0307071.s001
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    xlsxAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Kalindu Abeywickrama; Nehan Perera; Sithesha Samarathunga; Harshani Pabasara; Ruwan Jayathilaka; Krishantha Wisenthige
    License

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

    Description

    This study examines the determinants influencing the likelihood of Sub-Saharan African (SSA) countries seeking assistance from the International Monetary Fund (IMF). The IMF, as a global institution, aims to promote sustainable growth and prosperity among its member countries by supporting economic strategies that foster financial stability and collaboration in monetary affairs. Utilising panel-probit regression, this study analyses data from thirty-nine SSA countries spanning from 2000 to 2022, focusing on twelve factors: Current Account Balance (CAB), inflation, corruption, General Government Net Lending and Borrowing (GGNLB), General Government Gross Debt (GGGD), Gross Domestic Product Growth (GDPG), United Nations Security Council (UNSC) involvement, regime types (Closed Autocracy, Electoral Democracy, Electoral Autocracy, Liberal Democracy) and China Loan. The results indicate that corruption and GDP growth rate have the most significant influence on the likelihood of SSA countries seeking IMF assistance. Conversely, factors such as CAB, UNSC involvement, LD and inflation show inconsequential effects. Notable, countries like Sudan, Burundi, and Guinea consistently rank high in seeking IMF assistance over various time frames within the observed period. Sudan emerges with a probability of more than 44% in seeking IMF assistance, holding the highest ranking. Study emphasises the importance of understanding SSA region rankings and the variability of variables for policymakers, investors, and international organisations to effectively address economic challenges and provide financial assistance.

  11. s

    Inflation, average consumer prices, Annual percent change (IMF) 1990-2017 -...

    • store.smartdatahub.io
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    Inflation, average consumer prices, Annual percent change (IMF) 1990-2017 - Datasets - This service has been deprecated - please visit https://www.smartdatahub.io/ to access data. See the About page for details. // [Dataset]. https://store.smartdatahub.io/dataset/fi_statistics_finland_inflation_average_consumer_prices_annual_percent_change_imf_1990_2017
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    Description

    Inflation, average consumer prices, Annual percent change (IMF) 1990-2017

  12. India Inflation Nowcast: Contribution: International Reserves: RBI: FX...

    • ceicdata.com
    Updated Mar 10, 2025
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    CEICdata.com (2025). India Inflation Nowcast: Contribution: International Reserves: RBI: FX Reserve: USD: Position in the IMF [Dataset]. https://www.ceicdata.com/en/india/ceic-nowcast-inflation-headline/inflation-nowcast-contribution-international-reserves-rbi-fx-reserve-usd-position-in-the-imf
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    India
    Description

    India Inflation Nowcast: Contribution: International Reserves: RBI: FX Reserve: USD: Position in the IMF data was reported at 0.978 % in 12 May 2025. This stayed constant from the previous number of 0.978 % for 05 May 2025. India Inflation Nowcast: Contribution: International Reserves: RBI: FX Reserve: USD: Position in the IMF data is updated weekly, averaging 0.348 % from Jul 2020 (Median) to 12 May 2025, with 254 observations. The data reached an all-time high of 16.090 % in 08 Mar 2021 and a record low of 0.000 % in 07 Apr 2025. India Inflation Nowcast: Contribution: International Reserves: RBI: FX Reserve: USD: Position in the IMF data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s India – Table IN.CEIC.NC: CEIC Nowcast: Inflation: Headline.

  13. Real GDP growth forecast world regions 2022-2028

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Real GDP growth forecast world regions 2022-2028 [Dataset]. https://www.statista.com/statistics/1261641/real-gdp-growth-forecast-world-regions/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    World
    Description

    Based on IMF forecasts from October 2023, the real GDP growth in industrial countries will slow in 2023, only growing by 1.5 percent. This is because if the impact of the high global inflation rates. On the other hand, the GDP of emerging and developing countries is expected to grow by around four percent both in 2022, 2023, and 2024.

  14. n

    Sub-Saharan Africa Regional Economic Outlook (AFRREO)

    • db.nomics.world
    Updated Apr 25, 2025
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    DBnomics (2025). Sub-Saharan Africa Regional Economic Outlook (AFRREO) [Dataset]. https://db.nomics.world/IMF/AFRREO
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Area covered
    Sub-Saharan Africa, Africa
    Description

    AFR Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Sub-Saharan Africa. Data for the REO for Sub-Saharan Africa is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.

  15. n

    Asia and Pacific Regional Economic Outlook (APDREO)

    • db.nomics.world
    Updated Oct 31, 2024
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    DBnomics (2024). Asia and Pacific Regional Economic Outlook (APDREO) [Dataset]. https://db.nomics.world/IMF/APDREO
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Area covered
    Asia–Pacific
    Description

    APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.

  16. 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/
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    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.

  17. n

    Western Hemisphere Regional Economic Outlook (WHDREO)

    • db.nomics.world
    Updated Apr 25, 2025
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    DBnomics (2025). Western Hemisphere Regional Economic Outlook (WHDREO) [Dataset]. https://db.nomics.world/IMF/WHDREO
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Description

    The WHD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in the Western Hemisphere. Data for the Western Hemisphere REO are prepared in conjunction and are consistent with the semi-annual World Economic Outlook (WEO) exercises. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.

  18. Inflation rate in China 2014-2030

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). Inflation rate in China 2014-2030 [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
    Statista Research Department
    Description

    In 2024, the average annual inflation rate in China ranged at around 0.2 percent compared to the previous year. For 2025, projections by the IMF expect slightly negative inflation. The monthly inflation rate in China dropped to negative values in the first quarter of 2025. Calculation of inflation The inflation rate is calculated based on the Consumer Price Index (CPI) for China. The CPI is computed using a product basket that contains a predefined range of products and services on which the average consumer spends money throughout the year. Included are expenses for groceries, clothes, rent, power, telecommunications, recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. The product basked is adjusted every five years to reflect changes in consumer preference and has been updated in 2020 for the last time. The inflation rate is then calculated using changes in the CPI. As the inflation of a country is seen as a key economic indicator, it is frequently used for international comparison. China's inflation in comparison Among the main industrialized and emerging economies worldwide, China displayed comparatively low inflation in 2023 and 2024. In previous years, China's inflation ranged marginally above the inflation rates of established industrialized powerhouses such as the United States or the European Union. However, this changed in 2021, as inflation rates in developed countries rose quickly, while prices in China only increased moderately. According to IMF estimates for 2024, Zimbabwe was expected to be the country with the highest inflation rate, with a consumer price increase of about 561 percent compared to 2023. In 2023, Turkmenistan had the lowest price increase worldwide with prices actually decreasing by about 1.7 percent.

  19. F

    Consumer Price Inflation for Kuwait

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
    + more versions
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    (2024). Consumer Price Inflation for Kuwait [Dataset]. https://fred.stlouisfed.org/series/KWTPCPIPCHPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

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

    Area covered
    Kuwait
    Description

    Graph and download economic data for Consumer Price Inflation for Kuwait (KWTPCPIPCHPT) from 2014 to 2025 about Kuwait, consumer prices, REO, consumer, inflation, and rate.

  20. U.S. projected annual inflation rate 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected annual inflation rate 2010-2029 [Dataset]. https://www.statista.com/statistics/244983/projected-inflation-rate-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

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africadatahub.org (2022). IMF Africa Inflation Database - Dataset - ADH Data Portal [Dataset]. https://ckan.africadatahub.org/dataset/imf-africa-inflation-database
Organization logoOrganization logo

IMF Africa Inflation Database - Dataset - ADH Data Portal

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Dataset updated
Aug 29, 2022
Dataset provided by
Africa Data Hub
CKANhttps://ckan.org/
License

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

Area covered
Africa
Description

The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.

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