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.

number of observations : 23972
observation : households
country : Spain

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

Graph and download economic data for Expenditures: Other Food at Home by Deciles of Income Before Taxes: Fourth 10 Percent (31st to 40th Percentile) (CXUOTHRFOODLB1505M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.

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.

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.

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

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.

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.

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.

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

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.

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.

Based on figures by the National Sample Survey Organization (NSSO) from the financial year 2012, it was estimated that the bottom ** percent of the Indian population spends **** percent of their incomes on taxes for selected food items. The middle ** percent spends almost half of that and the top 10 percent spends merely ****% of their income on food items.

Percent of Household Income Spent on Food as Forecasted for 2022

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.

Get statistical data on the average net operating income by region and county in Ontario. The data includes:

• total gross farm receipts (excluding sales of forest products) - distribution
• total gross farm receipts (excluding sales of forest products) in the calendar year prior to the census or for the last complete fiscal year prior to the census – farms reporting
• total gross farm receipts (excluding sales of forest products) in the calendar year prior to the census or for the last complete fiscal year prior to the census – amount in dollars
• total farm business operating expenses in the calendar year prior to the census or for the last complete fiscal year prior to the census – amount in dollars
• average net operating income per farm
• net operating income per total dollar of gross farm receipts
• operating expenses as a percentage of total gross farm receipts

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Cal-Maine Foods reported $16.49M in Interest Income for its fiscal quarter ending in March of 2025. Data for Cal-Maine Foods | CALM - Interest Income including historical, tables and charts were last updated by Trading Economics this last December in 2025.

As at March 2024, approximately ***** percent of expenditure in rural areas in Indonesia was allocated for food and ***** percent for non-food. Over the period measured, there were no significant changes on the share of income spent on food and non-food in rural areas in Indonesia.

Percentage of total population within a designated area that is identified as both “low income” and having “low access” to healthy food. Low income is defined as Low income is defined as having an annual family income at or below 200 percent of the Federal poverty threshold. Low access is defined as population that is beyond 1 mile for urban areas or 10 miles for rural areas from a supermarket.

Note that there are many ways to measure food access for individuals and for neighborhoods, and many ways to define which areas are food deserts (neighborhoods that lack healthy food sources). Explore the USDA Food Access Research Atlas for more information: https://www.ers.usda.gov/data-products/food-access-research-atlas/.

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.