Cost of food in the United States increased 2.60 percent in February 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.

Cost of food in Canada increased 1.30 percent in February 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.

Food Price Index in World increased to 127.10 Index Points in February from 125.10 Index Points in January of 2025. This dataset includes a chart with historical data for World Food Price Index.

Monthly average retail prices for selected products, for Canada and provinces. 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.

Cost of food in Jamaica increased 6.57 percent in February of 2025 over the same month in the previous year. This dataset provides - Jamaica Food Inflation- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Cost of food in India increased 3.75 percent in February 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.

A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

Cost of food in Puerto Rico increased 3.60 percent in January of 2025 over the same month in the previous year. This dataset provides - Puerto Rico Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Market Average

Cost of food in the United Kingdom increased 3.30 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United Kingdom Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

Abstract copyright UK Data Service and data collection copyright owner.

Background
A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the EFS questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprise the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys (including the EFS). For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF/EFS, including links to published reports based on the survey, may be found on the ONS Living Costs and Food Survey webpage. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.

Purpose of the LCF (formerly EFS)
The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF/EFS, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources.

Design and methodology
The design of the LCF/EFS is based on the FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous FES structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes used in the FES and NFS, which were unique to the two surveys. An additional level of hierarchy has been developed for the EFS to improve the mapping to the previous FES and NFS codes. The LCF/EFS was conducted on a financial year basis from 2001, but was moved from a financial to a calendar year basis from January 2006 in anticipation of the introduction of the IHS. Therefore, whilst SNs 4697, 5003, 5210, 5375 and 5688 cover 2001-2002, 2002-2003, 2004-2005 and 2005-2006 respectively, SN 5986 covers January-December 2006, and subsequent studies cover January-December of the survey year. The documentation for SN 5986 provides further details of the change in methodology.

Northern Ireland sample
Users of the LCF/EFS should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.

Variables available in the Secure Access version
The Secure Access version includes geographical variables with detail below government office region up to the postcode level, and urban/rural area indicators, as well as other sensitive variables. Also included are the raw diary information files and the family expenditure codes files.

In response to user demand, the Living Costs and Food Survey moved from a calendar to financial year survey from 2015. See documentation for further details of the change.

Latest edition information
For the 16th edition (November 2023), the diary files 'rawdry' and 'rawdryx' for 2020-2021, and the accompanying Volume D Expenditure Codes document, have been replaced with updated versions.

Main Topics:

Household questionnaire:
The first part of the LCF/EFS questionnaire collects information about households; the majority of the questions are asked at a household-level, with the household reference person typically responding on behalf of the household as a whole....

Cost of food in Bermuda increased 2.80 percent in October of 2024 over the same month in the previous year. This dataset provides - Bermuda Food Inflation- actual values, historical data, forecast, chart, statistics, economic calendar and news.

BackgroundTo limit the spread of COVID-19, a strict lockdown was imposed in France between March and May 2020. Mobility limitations and closure of non-essential public places (restaurants, open-air markets, etc.) affected peoples' food environment (FE) and thus their food purchasing practices (FPPs). This study aimed to explore changes in FPPs of French households during lockdown and associations with individual and environmental factors.MethodsIn April of 2020 households from the Mont'Panier cross-sectional study (n = 306), a quota sampling survey conducted in the south of France, were asked to complete an online questionnaire about their FPPs during lockdown and related factors, including perceived FE (distance to closest general food store, perception of increased food prices, etc.). Objective FE (presence, number, proximity, and density of food outlets) was assessed around participant's home using a geographical information system. Multiple correspondence analysis based on changes in frequency of use and quantity of food purchased by food outlet, followed by a hierarchical cluster analysis, resulted in the identification of clusters. Logistic regression models were performed to assess associations between identified clusters and household's sociodemographic characteristics, perceived, and objective FE.ResultsFive clusters were identified. Cluster “Supermarket” (38% of the total sample), in which households reduced frequency of trips, but increased quantity bought in supermarkets during lockdown, was associated with lower incomes and the perception of increased food prices. Cluster “E-supermarket” (12%), in which households increased online food shopping with pickup at supermarket, was associated with higher incomes. Cluster “Diversified” (22%), made up of households who reduced frequency of trips to diverse food outlet types, was associated with the perception of increased food prices. Cluster “Organic Food Store” (20%), in which households did not change frequency of trips, nor quantity purchased in organic food stores, was associated with being older (35–50 y vs.

Chinese household panel data 2011-2016 covering all CPG purchases, including support files barcode, shopcode, panelist (incl info on age, household size, income, city (tier)). Research questions: How do brand sales in the Chinese market change as the fraction of groceries sold online goes up? What category- and brand related factors influence this change, and what is the direction of the effect? How can managers use these insights to preserve and improve their brand performance in an increasingly electronic grocery market?

Cost of food in Costa Rica increased 6.76 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Costa Rica Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Cost of food in Netherlands increased 4.30 percent in February of 2025 over the same month in the previous year. This dataset provides - Netherlands Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This statistic shows the share of individuals that used food pantries and emergency kitchens in the United States in 2021, by household food security status. At that time, a 2.7 percent share of individuals from food secure households used food pantries in the United States. Compared to 2020, this figure has declined by 0.5 percent. The dataset has been discontinued by the source. This content will not be updated. More up-to-date content on the share of people living in food insecurity who receive free meals or groceries can be found here. Data is provided by the same source.

Cost of food in Georgia increased 3.70 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Georgia Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.