34 datasets found
  1. T

    United States Food Inflation

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States Food Inflation [Dataset]. https://tradingeconomics.com/united-states/food-inflation
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1914 - Sep 30, 2025
    Area covered
    United States
    Description

    Cost of food in the United States increased 3.10 percent in September of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. Global - Food Prices

    • kaggle.com
    zip
    Updated Aug 29, 2023
    + more versions
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    Jocelyn Dumlao (2023). Global - Food Prices [Dataset]. https://www.kaggle.com/datasets/jocelyndumlao/global-food-prices/code
    Explore at:
    zip(227550 bytes)Available download formats
    Dataset updated
    Aug 29, 2023
    Authors
    Jocelyn Dumlao
    License

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

    Description

    Description

    This dataset contains Countries, Commodities, and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country-level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

    Acknowledgements & Source

    Compiled by the World Food Program and distributed by HDX.

    Image Source

    Please don't forget to upvote if you find this useful.

  3. T

    China Food Inflation

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 9, 2025
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    TRADING ECONOMICS (2025). China Food Inflation [Dataset]. https://tradingeconomics.com/china/food-inflation
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1993 - Oct 31, 2025
    Area covered
    China
    Description

    Cost of food in China decreased 2.90 percent in October of 2025 over the same month in the previous year. This dataset provides - China Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. USDA Food Price Outlook

    • kaggle.com
    zip
    Updated May 25, 2023
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    Duncan Reid (2023). USDA Food Price Outlook [Dataset]. https://www.kaggle.com/datasets/duncanreid/usda-food-price-outlook/code
    Explore at:
    zip(41765 bytes)Available download formats
    Dataset updated
    May 25, 2023
    Authors
    Duncan Reid
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    The USDA, Economic Research Service (ERS) Food Price Outlook (FPO) provides data on food prices and forecasts annual food price changes up to 18 months in the future. On a monthly basis, ERS forecasts the annual percentage change in food prices for the current year and, beginning in July each year, for the following year. These forecasts are primarily based on the U.S. Department of Labor, Bureau of Labor Statistics’ (BLS) Consumer Price Index (CPI) and Producer Price Index (PPI) data.

    This dataset contains the following records from the Food Price Outlook: 1. Changes in Consumer Price Indexes, 2020 through 2023 2. Annual percent changes in selected Consumer Price Indexes, 1974 through 2021

    The data examines the historical change in the Consumer Price Index (CPI) for food in the United States. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. This includes different categories of food such as meat and dairy products, fruits and vegetables, as well as the overall cost of Food at home compared to Food away from home. The CPI for food measures the changes in the retail prices of food items only.

    For more information on this dataset visit: ers.usda.gov

  5. T

    Lebanon Food Inflation

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 15, 2025
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    TRADING ECONOMICS (2025). Lebanon Food Inflation [Dataset]. https://tradingeconomics.com/lebanon/food-inflation
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2009 - Oct 31, 2025
    Area covered
    Lebanon
    Description

    Cost of food in Lebanon increased 23.90 percent in September of 2025 over the same month in the previous year. This dataset provides - Lebanon Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. T

    Canada Food Inflation

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Food Inflation [Dataset]. https://tradingeconomics.com/canada/food-inflation
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1951 - Oct 31, 2025
    Area covered
    Canada
    Description

    Cost of food in Canada increased 3.40 percent in October of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Canada Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Monthly average retail prices for selected products

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Nov 5, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Monthly average retail prices for selected products [Dataset]. http://doi.org/10.25318/1810024501-eng
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    Dataset updated
    Nov 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly average retail prices for selected products, for Canada, provinces, Whitehorse and Yellowknife. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

  8. Food Price Index: August 2021

    • kaggle.com
    zip
    Updated Oct 13, 2021
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    intelai (2021). Food Price Index: August 2021 [Dataset]. https://www.kaggle.com/intelai/food-price-index-august-2021
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    zip(253365 bytes)Available download formats
    Dataset updated
    Oct 13, 2021
    Authors
    intelai
    License

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

    Description

    This is a food price index for New Zealand measures the changes in prices that households pay for food.

    Monthly change

    Food prices rose 0.3 percent in August 2021. After seasonal adjustment, they were up 0.2 percent.

    In August 2021 compared with July 2021:

    • Fruit and vegetable prices rose 0.4 percent (down 0.2 percent after seasonal adjustment).
    • Meat, poultry, and fish prices rose 1.3 percent.
    • Grocery food prices fell 0.1 percent (up 0.2 percent after seasonal adjustment).
    • Non-alcoholic beverage prices fell 0.5 percent.
    • Restaurant meals and ready-to-eat food prices rose 0.4 percent.

    Annual change

    Food prices increased 2.4 percent in the year ended August 2021.

    In August 2021 compared with August 2020: - Fruit and vegetable prices increased 2.1 percent. - Meat, poultry, and fish prices increased 2.2 percent. - Grocery food prices increased 1.9 percent. - Non-alcoholic beverage prices decreased 0.6 percent. - Restaurant meals and ready-to-eat food prices increased 4.6 percent.

    Use Infoshare to access the food price index time series:

    Subject category: Economic indicators Group: Consumers price index – CPI

  9. Monthly average retail prices for food and other selected products

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Mar 16, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Monthly average retail prices for food and other selected products [Dataset]. http://doi.org/10.25318/1810000201-eng
    Explore at:
    Dataset updated
    Mar 16, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

  10. Food Prices for Nutrition

    • datacatalog.worldbank.org
    • kaggle.com
    api, databank, utf-8
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    fpn@worldbank.org, Food Prices for Nutrition [Dataset]. https://datacatalog.worldbank.org/int/search/dataset/0061222/food-prices-for-nutrition
    Explore at:
    utf-8, api, databankAvailable download formats
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    Food Prices for Nutrition provides indicators on the cost and affordability of a healthy diet (CoAHD) in each country, showing the population’s physical and economic access to sufficient quantities of locally available items for an active and healthy life. It also hosts indicators on the cost and affordability of an energy-sufficient diet and of a nutrient-adequate diet. These indicators are explained in detail in the Food Prices for Nutrition DataHub at: https://www.worldbank.org/foodpricesfornutrition.


    The most recently updated database version, Food Prices for Nutrition 4.0, estimated in July 2025, relies on the 2021 global retail food price data from the International Comparison Program (ICP) and the latest 2021 PPP conversion factors to assess the diet cost indicators. For the non-ICP benchmark years, it estimates the diet costs based on the latest food and general CPI data from FAOSTAT. It also reflects the most updated income distribution data for India and other countries from the World Bank’s Poverty and Inequality Platform (PIP). For the first time, the cost and affordability of a healthy diet and related indicators are estimated up to one year preceding the report year, and diet cost indicators are reported in both PPP dollars and local currency units. Version 4.0 also updates the method of converting current year to constant year PPPs based on national CPIs instead of US inflation rates. Estimates for the prevalence and number of people unable to afford a healthy diet were imputed for countries with missing information based on their regional and global aggregates. Countries' income classifications at the aggregate reporting level follow the calendar year of 2023 standard (the fiscal year of 2025 of the World Bank). The Cost and Affordability of a Healthy Diet indicators reported in the United Nations' State of Food Security and Nutrition in the World 2025 correspond to those in version 4.0.

  11. kimonaim

    • kaggle.com
    Updated Aug 10, 2022
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    Ariel Paz-Sawicki (2022). kimonaim [Dataset]. https://www.kaggle.com/datasets/arielpazsawicki/kimonaim
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 10, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ariel Paz-Sawicki
    Description

    August 2022 update

    1. The updated database has monthly prices from over 400 supermarkets across six chains (all Shufersal stores, plus ~20 per chain for the other chains), from March 2022-August 2022. Before march there is a steady increase in the number of stores.
    2. The current database has combined all the supermarket chains, which required adding two columns - 'ChainName' is the supermarket chain, and 'store_code' is a concatenation of the store_id and the beginning of the chain name, to solve the duplicate store_ids.
    3. A new table was constructed to try and identify the manufacturers of each product, given the significant discrepancies in the retailers' reporting. This table ("manufacturer_finder") has identified the likely supplier of around half of the products in the database, and can be used to track specific suppliers (producers/importers).

    This dataset was created to analyze changes in prices in the Israeli grocery retail market. It was created based on the files retailers are legally required to upload, available here: https://www.gov.il/he/departments/legalInfo/cpfta_prices_regulations

    The data is not complete and downloads increased gradually. Beginning in May 2020 there are sporadic files for three specific Shufersal stores. Starting in November 2021 Downloads increased, ~20-50 stores downloaded at various times from Shufersal, and ~5-10 stores downloaded from a few other retailers.

    Different table for each retailer. The table "snifim" specifies the names for stores for Shufersal (in the main table you can find store_id which can be joined to the names).

    Description of columns in the Prices tables: Filename - original file name (without the xml extension) store_id - ID of the store upload_date - date of file download. Upload dates before 2020 - unclear what they are, probably of stores which shut down.
    PriceUpdateDate - Last date of price change of the item. ItemCode - a unique ID of the item. ItemName - name. ManufacturerName - manufacturer. These data are messy. ManufactureCountry - country of production. ManufacturerItemDescription - similar to ItemName UnitQty - unit of measure Quantity - quantity. UnitOfMeasure - also unit of measure ItemPrice - price (NIS) UnitOfMeasurePrice - price divided by quantity AllowDiscount - boolean/dummy variable.

    Supplementary data can be found here: https://docs.google.com/spreadsheets/d/1LYyCt3BTJ-QInja-4iN1vqZ91xV6TAwhywgJxecSOkM/edit?usp=sharing Including: - Analysis of suppliers - different labels associated with each supplier - A table linking Shufersal stores with their store_id - A table with details on how many price files (stores) were downloaded each date.

    What are we looking for? - Price collusion - producers raising prices at the same time. - Which producers saw the greatest price increase? - Which is the most expensive store? - Which products are most promoted? You can go to the source and find "promo" tables. - Can you create a user-friendly tool to analyze these data for non-data scientists?

  12. 🍕Food Bank🏦of the World🌍

    • kaggle.com
    zip
    Updated Nov 9, 2022
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    Pranav941 (2022). 🍕Food Bank🏦of the World🌍 [Dataset]. https://www.kaggle.com/datasets/pranav941/-world-food-wealth-bank/code
    Explore at:
    zip(12439185 bytes)Available download formats
    Dataset updated
    Nov 9, 2022
    Authors
    Pranav941
    License

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

    Area covered
    World
    Description

    Dataset Structure & Description

    https://imgur.com/AYzsmYU.jpg" alt="Dataset Structure">

    Context and Inspiration

    I read an article yesterday which got my mind storming, A article by Worldbank on August 15th, 2022 better explains it, It has been quoted below,
    I already have a project i'm working on since Feb 2021, trying to solving this problem, listed in my datasets

    This dataset showcases the statistics over the past 6-7 decades which covers the production of 150+ unique crops, 50+ livestock elements, Land distribution by usage and population, As aspiring data scientists one can try to extract insights incentivizing the optimal use of natural resources and distribution of resources

    August 15, 2022 - Worldbank

    Record high food prices have triggered a global crisis that will drive millions more into extreme poverty, magnifying hunger and malnutrition, while threatening to erase hard-won gains in development. The war in Ukraine, supply chain disruptions, and the continued economic fallout of the COVID-19 pandemic are reversing years of development gains and pushing food prices to all-time highs. Rising food prices have a greater impact on people in low- and middle-income countries, since they spend a larger share of their income on food than people in high-income countries. This brief looks at rising food insecurity and World Bank responses to date.

    IMAGE ALT TEXT HERE

    Please leave a upvote if you found this helpful ☮️

    Hello 👋, If you are enjoying so far, Please checkout my other Datasets, I would love to hear your support & feedback on it, Thank you !

    <---(❁´◡`❁)--->

    Checkout my other Datasets & Notebooks

  13. Results of formal equivalence tests to assess correspondence between weekly...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Apr 8, 2025
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    Julius Adewopo; Bo Pieter Johannes Andrée; Helen Peter; Gloria Solano-Hermosilla; Fabio Micale (2025). Results of formal equivalence tests to assess correspondence between weekly enumerators (Er) and crowdsourced data (Cr) commodity prices over an eight-month period (March - October 2021), and between monthly crowdsourced data (Cr) and AI-imputed (AI) food prices, over a 3-year period (2019-2021). [Dataset]. http://doi.org/10.1371/journal.pone.0320720.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Julius Adewopo; Bo Pieter Johannes Andrée; Helen Peter; Gloria Solano-Hermosilla; Fabio Micale
    License

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

    Description

    Results of formal equivalence tests to assess correspondence between weekly enumerators (Er) and crowdsourced data (Cr) commodity prices over an eight-month period (March - October 2021), and between monthly crowdsourced data (Cr) and AI-imputed (AI) food prices, over a 3-year period (2019-2021).

  14. Global Inflation Dataset - (1970~2022)

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

    About Dataset

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

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

    Key Concepts:

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

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

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

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

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

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

  15. T

    India Food Inflation

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 3, 2015
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    TRADING ECONOMICS (2015). India Food Inflation [Dataset]. https://tradingeconomics.com/india/food-inflation
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Aug 3, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2012 - Oct 31, 2025
    Area covered
    India, India
    Description

    Cost of food in India decreased 5.02 percent in October of 2025 over the same month in the previous year. This dataset provides - India Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. u

    Food price data used to assess the cost and affordability of basic meals in...

    • researchdata.up.ac.za
    xlsx
    Updated Jun 14, 2023
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    Mercy Bwanaisa (2023). Food price data used to assess the cost and affordability of basic meals in Malawi between 2017 and 2021 [Dataset]. http://doi.org/10.25403/UPresearchdata.23261528.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Mercy Bwanaisa
    License

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

    Area covered
    Malawi
    Description

    The food price data were collected between January 2017 and December 2021 and contained a total of 19 food items. The data were obtained from the National Statistics Office of Malawi (NSO) and were used in my mini-dissertation with permission from the Commissioner of Statistics. The data were used to assess the cost and affordability of basic meals in Malawi to which world food programmes (WFP's) basic plate approach was employed.

  17. m

    Tomra Systems ASA - Price-To-Book-Ratio

    • macro-rankings.com
    csv, excel
    Updated Jul 1, 2025
    + more versions
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    macro-rankings (2025). Tomra Systems ASA - Price-To-Book-Ratio [Dataset]. https://www.macro-rankings.com/markets/stocks/tom-ol/key-financial-ratios/valuation/price-to-book-ratio
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    norway
    Description

    Price-To-Book-Ratio Time Series for Tomra Systems ASA. Tomra Systems ASA provides sensor-based solutions for optimal resource productivity worldwide. It operates through four segments: TOMRA Collection, TOMRA Recycling, TOMRA Food, and TOMRA Horizon. The company develops, produces, sales, leases, and services reverse vending machines and related data management systems; and provides pick-up, transportation, and processing services of empty beverage containers on behalf of beverage producers/fillers. It also develops, produces, sale, and service sorting and processing technology for waste management companies or plant builders; and provides sorting systems for waste and metal material streams, as well as ore sorting sensors for mining companies. In addition, the company provides post-harvest food solutions for fresh and processed food industries. Tomra Systems ASA was founded in 1972 and is headquartered in Asker, Norway.

  18. World Economic Outlook 2021

    • kaggle.com
    zip
    Updated Aug 18, 2021
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    Syed Mubarak (2021). World Economic Outlook 2021 [Dataset]. https://www.kaggle.com/syedmubarak/world-economic-outlook-2021
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    zip(2254440 bytes)Available download formats
    Dataset updated
    Aug 18, 2021
    Authors
    Syed Mubarak
    License

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

    Description

    Fault Lines Widen in the Global Recovery

    Economic prospects have diverged further across countries since the April 2021 World Economic Outlook (WEO) forecast. Vaccine access has emerged as the principal fault line along which the global recovery splits into two blocs: those that can look forward to further normalization of activity later this year (almost all advanced economies) and those that will still face resurgent infections and rising COVID death tolls. The recovery, however, is not assured even in countries where infections are currently very low so long as the virus circulates elsewhere.

    The global economy is projected to grow 6.0 percent in 2021 and 4.9 percent in 2022.The 2021 global forecast is unchanged from the April 2021 WEO, but with offsetting revisions. Prospects for emerging market and developing economies have been marked down for 2021, especially for Emerging Asia. By contrast, the forecast for advanced economies is revised up. These revisions reflect pandemic developments and changes in policy support. The 0.5 percentage-point upgrade for 2022 derives largely from the forecast upgrade for advanced economies, particularly the United States, reflecting the anticipated legislation of additional fiscal support in the second half of 2021 and improved health metrics more broadly across the group.

    Recent price pressures for the most part reflect unusual pandemic-related developments and transitory supply-demand mismatches. Inflation is expected to return to its pre-pandemic ranges in most countries in 2022 once these disturbances work their way through prices, though uncertainty remains high. Elevated inflation is also expected in some emerging market and developing economies, related in part to high food prices. Central banks should generally look through transitory inflation pressures and avoid tightening until there is more clarity on underlying price dynamics. Clear communication from central banks on the outlook for monetary policy will be key to shaping inflation expectations and safeguarding against premature tightening of financial conditions. There is, however, a risk that transitory pressures could become more persistent and central banks may need to take preemptive action.

    Risks around the global baseline are to the downside. Slower-than-anticipated vaccine rollout would allow the virus to mutate further. Financial conditions could tighten rapidly, for instance from a reassessment of the monetary policy outlook in advanced economies if inflation expectations increase more rapidly than anticipated. A double hit to emerging market and developing economies from worsening pandemic dynamics and tighter external financial conditions would severely set back their recovery and drag global growth below this outlook’s baseline.

    Multilateral action has a vital role to play in diminishing divergences and strengthening global prospects. The immediate priority is to deploy vaccines equitably worldwide. A $50 billion IMF staff proposal, jointly endorsed by the World Health Organization, World Trade Organization, and World Bank, provides clear targets and pragmatic actions at a feasible cost to end the pandemic. Financially constrained economies also need unimpeded access to international liquidity. The proposed $650 billion General Allocation of Special Drawing Rights at the IMF is set to boost reserve assets of all economies and help ease liquidity constraints. Countries also need to redouble collective efforts to reduce greenhouse gas emissions. These multilateral actions can be reinforced by national-level policies tailored to the stage of the crisis that help catalyze a sustainable, inclusive recovery. Concerted, well-directed policies can make the difference between a future of durable recoveries for all economies or one with widening fault lines—as many struggle with the health crisis while a handful see conditions normalize, albeit with the constant threat of renewed flare-ups.

  19. T

    South Africa Food Inflation

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 15, 2025
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    TRADING ECONOMICS (2025). South Africa Food Inflation [Dataset]. https://tradingeconomics.com/south-africa/food-inflation
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2009 - Oct 31, 2025
    Area covered
    South Africa
    Description

    Cost of food in South Africa increased 3.90 percent in October of 2025 over the same month in the previous year. This dataset provides the latest reported value for - South Africa Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. Consumer Price Index, annual average, not seasonally adjusted

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jan 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000501-eng
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    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

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TRADING ECONOMICS (2025). United States Food Inflation [Dataset]. https://tradingeconomics.com/united-states/food-inflation

United States Food Inflation

United States Food Inflation - Historical Dataset (1914-01-31/2025-09-30)

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6 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, json, xmlAvailable download formats
Dataset updated
Sep 15, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 31, 1914 - Sep 30, 2025
Area covered
United States
Description

Cost of food in the United States increased 3.10 percent in September of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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