The Consumer Price Index (CPI) for food is a component of the all-items CPI. 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. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: North, South, Artibonite, Centre, South-East, Grande'Anse, North-East, West, North-West, Market Average

Graph and download economic data for Global price of Food index (PFOODINDEXM) from Jan 1992 to Apr 2025 about World, food, indexes, and price.

This statistic depicts the consumer price index (CPI) for food in the United States from 1960 to 2024. In December 2024, the consumer price index (CPI) for food amounted to ******, compared to the period from 1982 to 1984 (=100).

According to a survey carried out between October and November 2024, consumers in Hungary were the most likely to be expecting food prices to increase. Some 86 percent of South African survey respondents stated they expected the cost of their food shopping to increase in the coming six months. In comparison, half of Japanese respondents said the same.

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.

Cost of food in the United States increased 2.90 percent in May 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.

India: Food price index, world average = 100: The latest value from 2021 is 58.17 index points, a decline from 58.758 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for India from 2017 to 2021 is 58.464 index points. The minimum value, 58.17 index points, was reached in 2021 while the maximum of 58.758 index points was recorded in 2017.

This dataset contains Food Prices data for Benin, sourced from the World Food Programme Price Database. 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.

Israel: Food price index, world average = 100: The latest value from 2021 is 188.73 index points, an increase from 171.324 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for Israel from 2017 to 2021 is 180.027 index points. The minimum value, 171.324 index points, was reached in 2017 while the maximum of 188.73 index points was recorded in 2021.

Abstract This Australian and New Zealand food category cost dataset was created to inform diet and economic modelling for low and medium socioeconomic households in Australia and New Zealand. The dataset was created according to the INFORMAS protocol, which details the methods to systematically and consistently collect and analyse information on the price of foods, meals and affordability of diets in different countries globally. Food categories were informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods.

Methods The dataset was created according to the INFORMAS protocol [1], which detailed the methods to collect and analyse information systematically and consistently on the price of foods, meals, and affordability of diets in different countries globally.

Cost data were collected from four supermarkets in each country: Australia and New Zealand. In Australia, two (Coles Merrylands and Woolworths Auburn) were located in a low and two (Coles Zetland and Woolworths Burwood) were located in a medium metropolitan socioeconomic area in New South Wales from 7-11th December 2020. In New Zealand, two (Countdown Hamilton Central and Pak ‘n Save Hamilton Lake) were located in a low and two (Countdown Rototuna North and Pak ‘n Save Rosa Birch Park) in a medium socioeconomic area in the North Island, from 16-18th December 2020.

Locations in Australia were selected based on the Australian Bureau of Statistics Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) [2]. The index ranks areas from most disadvantaged to most advantaged using a scale of 1 to 10. IRSAD quintile 1 was chosen to represent low socio-economic status and quintile 3 for medium SES socio-economic status. Locations in New Zealand were chosen using the 2018 NZ Index of Deprivation and statistical area 2 boundaries [3]. Low socio-economic areas were defined by deciles 8-10 and medium socio-economic areas by deciles 4-6. The supermarket locations were chosen according to accessibility to researchers. Data were collected by five trained researchers with qualifications in nutrition and dietetics and/or nutrition science.

All foods were aggregated into a reduced number of food categories informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods. Nutrient data for each food category can therefore be linked to the Australian Food and Nutrient (AUSNUT) 2011-13 database [4] and NZ Food Composition Database (NZFCDB) [5] using the 8-digit codes provided for Australia and New Zealand, respectively.

Data were collected for three representative foods within each food category, based on criteria used in the INFORMAS protocol: (i) the lowest non-discounted price was chosen from the most commonly available product size, (ii) the produce was available nationally, (iii) fresh produce of poor quality was omitted. One sample was collected per representative food product per store, leading to a total of 12 food price samples for each food category. The exception was for the ‘breakfast cereal, unfortified, sugars ≤15g/100g’ food category in the NZ dataset, which included only four food price samples because only one representative product per supermarket was identified.

Variables in this dataset include: (i) food category and description, (ii) brand and name of representative food, (iii) product size, (iv) cost per product, and (v) 8-digit code to link product to nutrient composition data (AUSNUT and NZFCDB).

References

Vandevijvere, S.; Mackay, S.; Waterlander, W. INFORMAS Protocol: Food Prices Module [Internet]. Available online: https://auckland.figshare.com/articles/journal_contribution/INFORMAS_Protocol_Food_Prices_Module/5627440/1 (accessed on 25 October). 2071.0 - Census of Population and Housing: Reflecting Australia - Stories from the Census, 2016 Available online: https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/2071.0~2016~Main%20Features~Socio-Economic%20Advantage%20and%20Disadvantage~123 (accessed on 10 December). Socioeconomic Deprivation Indexes: NZDep and NZiDep, Department of Public Health. Available online: https://www.otago.ac.nz/wellington/departments/publichealth/research/hirp/otago020194.html#2018 (accessed on 10 December) AUSNUT 2011-2013 food nutrient database. Available online: https://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/foodnutrient.aspx (accessed on 15 November). NZ Food Composition Data. Available online: https://www.foodcomposition.co.nz/ (accessed on 10 December)

This dataset contains Food Prices data for Namibia, sourced from the World Food Programme Price Database. 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.

In 2022 and 2023, the price for a hamper with essential food products rose continuously, reaching its highest value in March 2023, at 234.84 euros. After a decrease for a few months, prices rose again starting in August 2023. In January 2024, the price peaked, meaning that Portuguese families had to pay more than 243 euros to supply their pantry with essential food items. The year 2024 presented slight fluctuations, and, by June 2025, the price of a hamper stood at 238.93 euros.

In 2022, the annual average of food price inflation was highest in the ************************** region. Food price inflation reached an average of ** percent here. In comparison, inflation reached an average of *** percent in ************************* region, making it the least impacted region in 2022.

This dataset contains price estimates (in €/kg) of 1357 foods consumed in Martinique, allowing to explore the cost of diet in the French West Indies. The prices of 10820 food products were collected in June 2019 from the website of a supermarket located in Martinique and matched with 1357 food items declared to be consumed by adults of the Kannari survey ("Health, Nutrition and Exposition to Chlordecone in French West Indies” conducted in Martinique and Guadeloupe in 2013-2014) in order to estimate a mean, median, minimum and maximum price for the 1357 food items. This dataset was created in 2019 as part of the NuTWInd research project (Nutrition Transition in the French West Indies, https://www6.inrae.fr/nutwind) funded by the French Research Agency. A form must be sent to marlene.perignon@inrae.fr to access the data. Download the form The authors reserve the right to grant or deny access to the dataset after reviewing the form. The use of the dataset is subject to a confidentiality agreement. ******************* Ce dataset fournit des estimations de prix (en €/kg) de 1357 aliments consommés en Martinique et permet d'étudier le coût de l'alimentation dans les Antilles Françaises. Les prix de 10820 produits alimentaires ont été collectés en juin 2019 à partir du site internet d'un supermarché basé en Martinique, et appariés avec une liste de 1357 aliments déclarés comme consommés par les adultes participant à l'enquête Kannari ("Santé, nutrition et exposition au chlordécone aux Antilles » réalisée en Martinique et Guadeloupe en 2013-2014) afin de pouvoir estimer un prix moyen, médian, minimal et maximal pour ces 1357 aliments. Cette base de données a été créée en 2019 dans le cadre du projet de recherche NuTWInd (Transition Nutritionnelle aux Antilles françaises : Interactions entre offre et comportements alimentaires, https://www6.inrae.fr/nutwind) financé par l’Agence Nationale de la Recherche. L'envoi d'un formulaire à marlene.perignon@inrae.fr est nécessaire pour accéder aux données. Télécharger le formulaire Les auteurs se réservent le droit d’autoriser ou refuser l’accès aux données après examen du formulaire. L’utilisation des données est soumise à un accord de confidentialité.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDNS) from Jan 1913 to May 2025 about urban, food, consumer, CPI, inflation, price index, indexes, price, and USA.

The Quarterly Food-at-Home Price Database provides food price data to support research on the economic determinants of food consumption, diet quality, and health outcomes.

Since 2019, food prices have increased every year. In 2022 and 2023, prices went up drastically in many countries. In 2023, in the European Union, inflation reached almost 12.6 percent compared to the previous year. This figure decreased to 2.3 percent in 2024.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Market Average

This statistic shows the percentage difference in the price of organic foods compared to conventional foods in the United States as of 2017, by product category. According to the source, the prices of organic milk were 87 percent higher than the their non-organic equivalent in the U.S. in 2017.