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 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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to Sep 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

This statistic highlights the average monthly grocery expenditure of consumers in the United States in 2017, by generation. In that year, Baby Boomers in the United States spent on average *** US dollars per month for groceries compared to a shopping budget of *** US dollars among Millennial consumers.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDSL) from Jan 1947 to Sep 2025 about urban, food, consumer, CPI, inflation, price index, indexes, price, and USA.

U.S. consumers were asked how much money they spent on average on groceries per week. The findings present that U.S. households' weekly grocery expenditure amounted to about *** U.S. dollars in 2025. Between 2019 and 2025, the average weekly expenditure grew exponentially, favored by the pandemic first and inflation after. Food affordability Since the pandemic, food affordability has been a challenge for consumers around the world, leading to changes around their food consumption. In the United States, meats, specialty foods and snacks are among the less purchased products, other changes include the purchase of generic products to save money on groceries. Generational differences Due to the rise of online grocery shopping, the difference in generational consumer behavior is significant. Millennials are most likely to shop online for their groceries, followed by Gen Z, while older generations prefer in-store shopping. When it comes to shopping frequency, those aged between 25 and 34 tended to shop more often compared to the youngest and oldest generations.

The average for 2021 based on 165 countries was 105.854 index points. The highest value was in South Korea: 208.84 index points and the lowest value was in India: 58.17 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

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.

The Food Plans represent a nutritious diet at four different cost levels: thrifty plan, low-cost plan, moderate-cost plan, and a liberal plan. The report is based on the costs of home-prepared meals and snacks.

In 2024, Japanese households, including workers' and non-workers' households, spent an average of around ****** Japanese yen per month on food. Food was the leading expense item among households.

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: Ouaddai, Salamat, Wadi Fira, Sila, Ennedi Est, Batha, Tibesti, Logone Oriental, Logone Occidental, Guera, Hadjer Lamis, Lac, Mayo Kebbi Est, Chari Baguirmi, Ennedi Ouest, Borkou, Tandjile, Mandoul, Moyen Chari, Mayo Kebbi Ouest, Kanem, Barh El Gazal, Ndjaména, Market Average

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.

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

This table contains a selection of weighted average retail prices for the current and previous months. These weighted average retail prices were calculated from prices collected in the June 2006 month. Subsequent months' weighted average prices are then calculated by applying price index movements for the relevant items. These are not statistically accurate measures of average transaction price levels, but are reliable indicators of percentage changes in prices.

View monthly updates and historical trends for Food Price Index. Source: World Bank. Track economic data with YCharts analytics.

Indonesia Avg Monthly Expenditure per Capita: Food: Vegetables data was reported at 39,664.000 IDR in 2018. This records a decrease from the previous number of 42,397.000 IDR for 2017. Indonesia Avg Monthly Expenditure per Capita: Food: Vegetables data is updated yearly, averaging 16,813.000 IDR from Dec 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 42,397.000 IDR in 2017 and a record low of 6,060.000 IDR in 2000. Indonesia Avg Monthly Expenditure per Capita: Food: Vegetables data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.HC001: Average Monthly Expenditure per Capita.

The FAO Food Price Index (FFPI) averaged 128.8 points in September 2025. This represents an increase of 3.4 percent compared to the same month of the previous year. Food prices worldwide Some food commodities have been hit harder than others in the past years. Global dairy, meat, and vegetable oil prices were on an upward trajectory in the first half of 2025. Regionally, the European Union (EU) and the UK have experienced a particularly high increase in the annual consumer prices for food and non-alcoholic beverages, as compared to other selected countries worldwide. Inflation in Europe The inflation rate for food in the EU grew from 0.2 percent in May 2021 to 19.2 percent in March 2023, as compared to the same month in the previous year. In the following months, the food inflation started decreasing again, yet has picked up again in 2025 in line with the global trend. The overall inflation rate in the Euro area reached its peak in December 2022 at 9.2 percent. The rate has since fallen to 2.4 percent in December 2024. As measured by the Harmonized Index of Consumer Prices (HICP), inflation rates in Europe were highest in Turkey, Romania, and Estonia as of April 2025.

View monthly updates and historical trends for US Consumer Price Index: Food. from United States. Source: Bureau of Labor Statistics. Track economic data …

Accommodation and Food Services: Subject Series - Misc Subjects: Average Cost Per Meal for the U.S. and States: 2012.

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: Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bomi, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, Market Average