96 datasets found
  1. F

    Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXUOTHRFOODLB1508M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) (CXUOTHRFOODLB1508M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.

  2. Share of household income spent on food products in Hungary 2023

    • statista.com
    Updated Mar 6, 2023
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    Statista (2023). Share of household income spent on food products in Hungary 2023 [Dataset]. https://www.statista.com/statistics/1375078/hungary-share-of-household-income-spent-on-food-products/
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    Dataset updated
    Mar 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 28, 2023 - Mar 6, 2023
    Area covered
    Hungary
    Description

    According to a survey conducted in 2023, approximately ** percent of Hungarian households spend ** to ** percent of their income on food products. At the same time, a third of households' expenditure on food ranged between ** to ** percent of their income.

  3. U.S. consumer food at home and away from home expenditure share 2009-2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). U.S. consumer food at home and away from home expenditure share 2009-2024 [Dataset]. https://www.statista.com/statistics/237190/number-of-persons-fed-per-farmer-in-the-us-since-1940/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2009, consumers in the United States spent some 5.3 percent of their disposable income on food at home. By 2024 that share had slightly decreased to just over five percent. For food away from home, on the other hand, the share of disposable income spent by U.S. consumers grew from just under 4.4 percent in 2009 to nearly six percent as of 2024.

  4. Share of food expenses of low-income households South Korea 2019-2024

    • statista.com
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    Statista, Share of food expenses of low-income households South Korea 2019-2024 [Dataset]. https://www.statista.com/statistics/1499082/south-korea-food-expense-share-of-low-income-households/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In the first quarter of 2024, South Korean households in the bottom ** percent of income allocated approximately **** percent of their budget to food, non-alcoholic beverages, and dining out. Low-income households' share of food expenses has increased over the past few years.

  5. P

    Food security: Income and expenditure indicators by poverty and food...

    • pacificdata.org
    • pacific-data.sprep.org
    csv
    Updated Nov 14, 2023
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    SPC (2023). Food security: Income and expenditure indicators by poverty and food security status, by geography, sex, age and urbanization (Kiribati, Solomon Islands and Vanuatu) [Dataset]. https://pacificdata.org/data/dataset/food-security-income-and-expenditure-indicators-by-poverty-and-food-securit-df-food-security-hies-1
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    csvAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 2012 - Dec 31, 2019
    Area covered
    Solomon Islands, Kiribati, Vanuatu
    Description

    This dataset contains a series of indicators related to income and expenditure for Kiribati, Tuvalu and Vanuatu based on Household Income and Expenditure Surveys (HIES). Indicators included are the following: Number of households, Proportion of households, Number of persons, Proportion of persons, Income, Income per household, Income per person, Proportion of income, Expenditure, Expenditure per household, Expenditure per person, Proportion of expenditure. The table provides a breakdown by geography (1 sub-national level), sex, age and urbanization, poverty status (2 categories) and food security status (2 categories). This dataset has been compiled as a result of a collaborative project on food security between the Pacific Community (SPC) and the Food and Agriculture Organization of the United Nations (FAO).

    Find more Pacific data on PDH.stat.

  6. Average household food expenditure in the U.S. by income 2023

    • statista.com
    Updated Oct 23, 2024
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    Statista (2024). Average household food expenditure in the U.S. by income 2023 [Dataset]. https://www.statista.com/statistics/241012/average-us-household-food-expenditures-by-income/
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    Dataset updated
    Oct 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the average household food expenditure by income in the United States in 2023. In that year, households with an income range of ****** to ****** U.S. dollars spent ***** U.S. dollars on food on average.

  7. F

    Expenditures: Food by Deciles of Income Before Taxes: Ninth 10 Percent (81st...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Food by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXUFOODTOTLLB1510M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Expenditures: Food by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) (CXUFOODTOTLLB1510M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.

  8. Share of income spent on basic essentials in the EU 1950-1990s

    • statista.com
    Updated Jan 1, 2007
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    Statista (2007). Share of income spent on basic essentials in the EU 1950-1990s [Dataset]. https://www.statista.com/statistics/1073153/share-income-spent-basics-eu-1950-1990s/
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    Dataset updated
    Jan 1, 2007
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    European Union
    Description

    A major characteristic of life in Western Europe in the second half of the 20th century was the emergence of consumerism. For the generations who had endured the devastation of two world wars, the economic difficulties that accompanied these and the Great Depression, and widespread food shortages across these five decades, the opportunity to spend their newfound income was embraced. In 1950, at the end of the recovery period after the Second World War, almost two-thirds of all income in Western Europe's* most-developed nations was spent on basic essentials, such as food and clothing. While economic recovery ended for most countries by the early 1950s, rapid economic growth did not stop there. Throughout the 1960s and 1970s, household income increased by around three percent per year in the most developed countries and five percent per year across Southern Europe. Food spending In Britain, France, and Germany, the share of income spent on food in 1950 was around 44 percent; this dropped to about 27 percent in 1971, and 13 percent in the 1990s. There were some regional variations, specifically the slower rate of this transition in the south, as 34 and 52 percent of income was spent on food in Spain and Portugal, respectively, in 1971. Clothing spending In Europe's 15 most-developed countries, approximately 16 percent of income was spent on clothing in 1950, but this dropped below seven percent by 1996. This was not only because income rose over this period, but also as quality improved due to advances in manufacturing and synthetic materials, and as clothing became more affordable as much of the production was relocated from Europe to China, Turkey, and other parts of East Asia.

  9. Share of food in gross disposable income of French households 1960-2014

    • statista.com
    Updated Oct 16, 2015
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    Statista (2015). Share of food in gross disposable income of French households 1960-2014 [Dataset]. https://www.statista.com/statistics/777780/share-expenses-food-gross-available-income-households-france/
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    Dataset updated
    Oct 16, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1960 - 2014
    Area covered
    France
    Description

    The graph shows the share of food expenditure in gross disposable income of French households from 1960 to 2014. It appears that the expenditure for food has fallen sharply, decreasing by more than *** percentage points between 1960 and 2014.

  10. Percentage of households using a food bank in 2023/24, by weekly income

    • statista.com
    Updated Aug 10, 2011
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    Statista (2011). Percentage of households using a food bank in 2023/24, by weekly income [Dataset]. https://www.statista.com/statistics/1379986/uk-foodbank-usage-by-household-income/
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    Dataset updated
    Aug 10, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2023 - Mar 31, 2024
    Area covered
    United Kingdom
    Description

    In 2023/24, approximately **** percent of households in the United Kingdom that had a weekly income of less than 200 British pounds reported using a food bank in the last 12 months, compared with *** percent of households that earned more than 1,000 pounds per week.

  11. f

    Percentage changes of household income and food consumption for different...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jun 13, 2018
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    Luckmann, Jonas; Grethe, Harald; Zikeli, Sabine; Boysen, Ole; Feuerbacher, Arndt (2018). Percentage changes of household income and food consumption for different income types and agroecological zones. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000627608
    Explore at:
    Dataset updated
    Jun 13, 2018
    Authors
    Luckmann, Jonas; Grethe, Harald; Zikeli, Sabine; Boysen, Ole; Feuerbacher, Arndt
    Description

    Percentage changes of household income and food consumption for different income types and agroecological zones.

  12. a

    Percent of Household Income Spent on Food as Forecasted for 2022

    • zero-hunger-fredericton.hub.arcgis.com
    Updated Nov 10, 2022
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    City of Fredericton - Ville de Fredericton (2022). Percent of Household Income Spent on Food as Forecasted for 2022 [Dataset]. https://zero-hunger-fredericton.hub.arcgis.com/datasets/percent-of-household-income-spent-on-food-as-forecasted-for-2022
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    Dataset updated
    Nov 10, 2022
    Dataset authored and provided by
    City of Fredericton - Ville de Fredericton
    Area covered
    Description

    Percent of Household Income Spent on Food as Forecasted for 2022

  13. Household income of meal kit users in the United States in 2025

    • statista.com
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    Statista, Household income of meal kit users in the United States in 2025 [Dataset]. https://www.statista.com/statistics/1472549/us-meal-kit-users-by-income/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2024 - Mar 21, 2025
    Area covered
    United States
    Description

    Meal kit customers in the United States typically have a relatively high annual household income. 2025 data from Statista Consumer Insights shows that ** percent of the customers of food subscription services such as HelloFresh had an annual income of over ****** U.S. dollars. A further ** percent of respondents preferred not to share their household income.

  14. Global food price increases in 2023, by country income classification

    • statista.com
    Updated Sep 2, 2025
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    Statista (2025). Global food price increases in 2023, by country income classification [Dataset]. https://www.statista.com/statistics/1427782/food-price-inflation-worldwide-by-country-type/
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    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Average food price inflation was highest in ********** countries in 2023 when compared to the rest of the world. When compared to the previous year, food prices were almost ** percent higher in September and October of 2023 in low-income countries. This figure stood at *** percent for high income countries.

  15. Budget Share of Food for Spanish Households

    • kaggle.com
    Updated Jul 2, 2023
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    Utkarsh Singh (2023). Budget Share of Food for Spanish Households [Dataset]. https://www.kaggle.com/datasets/utkarshx27/budget-share-of-food-for-spanish-households
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 2, 2023
    Dataset provided by
    Kaggle
    Authors
    Utkarsh Singh
    License

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

    Description
    number of observations : 23972
    observation : households
    country : Spain
    
    ColumnDescription
    wfoodpercentage of total expenditure which the household has spent on food
    totexptotal expenditure of the household
    ageage of reference person in the household
    sizesize of the household
    townsize of the town where the household is placed categorized into 5 groups: 1 for small towns, 5 for big ones
    sexsex of reference person (man,woman)

    References Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.

  16. a

    Location Affordability Index

    • hub.arcgis.com
    • hub-lincolninstitute.hub.arcgis.com
    • +6more
    Updated May 10, 2022
    + more versions
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    New Mexico Community Data Collaborative (2022). Location Affordability Index [Dataset]. https://hub.arcgis.com/maps/447a461f048845979f30a2478b9e65bb
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    Dataset updated
    May 10, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

    Title: Location Affordability Index - NMCDC Copy

    Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

    Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

    Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

    Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

    Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

    UID: 73

    Data Requested: Family income spent on basic need

    Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

    Date Acquired: Map copied on May 10, 2022

    Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

    Tags: PENDING

  17. F

    Expenditures: Food Away from Home by Quintiles of Income Before Taxes:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Expenditures: Food Away from Home by Quintiles of Income Before Taxes: Highest 20 Percent (81st to 100th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXUFOODAWAYLB0106M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Expenditures: Food Away from Home by Quintiles of Income Before Taxes: Highest 20 Percent (81st to 100th Percentile) (CXUFOODAWAYLB0106M) from 1984 to 2023 about percentile, tax, expenditures, food, income, and USA.

  18. Share of spending on food and non-food among households Indonesia 2016-2024

    • statista.com
    Updated Nov 25, 2025
    + more versions
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    Statista (2025). Share of spending on food and non-food among households Indonesia 2016-2024 [Dataset]. https://www.statista.com/statistics/1421738/indonesia-food-and-non-food-expenditure-breakdown/
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2016 - Mar 2024
    Area covered
    Indonesia
    Description

    As of March 2024, approximately **** percent of households' expenditure in Indonesia was allocated for food and about **** percent for non-food. During the period measured, there were no significant changes in the share of income spent on food and non-food among urban households in Indonesia.

  19. Affordability of food prices in Canada 2023, by household income

    • statista.com
    Updated Jul 15, 2023
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    Statista (2023). Affordability of food prices in Canada 2023, by household income [Dataset]. https://www.statista.com/statistics/1441459/food-prices-affordability-canada-by-income/
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    Dataset updated
    Jul 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 13, 2023 - Jul 17, 2023
    Area covered
    Canada
    Description

    According to a survey carried out in July 2023, ** percent of Canadian consumers earning less than ** thousand Canadian dollars found it difficult or very difficult to afford to feed their household. As expected, the higher the income, the easier it was to fee one's household. In fact, ** percent of those earning more than *** thousand dollars found it very easy or easy.

  20. U.S. adults who consider if food is processed before buying it, 2024, by...

    • statista.com
    Updated Feb 23, 2018
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    Statista (2018). U.S. adults who consider if food is processed before buying it, 2024, by income [Dataset]. https://www.statista.com/statistics/1491302/adults-consider-processed-food-before-purchase-income/
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    Dataset updated
    Feb 23, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 22, 2024 - Apr 9, 2024
    Area covered
    United States
    Description

    In 2024, around ** percent of adults in the United States reported that when shopping for food and beverages, they consider whether food is processed before purchasing it. Those from high-income households were more likely to state they consider if food is processed than those from lower income households. The consumption of ultra-processed foods such as potato chips, candy, and soft drinks has been linked to an increased risk of a number of health issues including certain cancers, cardiovascular disease, and type 2 diabetes. These foods are often cheaper than healthier alternatives. This statistic shows the percentage of adults in the United States who consider if food is processed before purchasing it as of 2024, by household income.

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(2024). Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXUOTHRFOODLB1508M

Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile)

CXUOTHRFOODLB1508M

Explore at:
jsonAvailable download formats
Dataset updated
Sep 25, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) (CXUOTHRFOODLB1508M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.

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