According to a survey conducted in 2023, approximately 38 percent of Hungarian households spend 21 to 40 percent of their income on food products. At the same time, a third of households' expenditure on food ranged between 41 to 60 percent of their income.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Expenditures: Other Food at Home by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) (CXUOTHRFOODLB1510M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.
In the first quarter of 2024, South Korean households in the bottom 20 percent of income allocated approximately 31.2 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.
This statistic shows the average food away-from-home household expenditure in the United States in 20223, by income. In that year, households with an income range of 30,000 to 39,999 U.S. dollars spent on average 2,235 U.S. dollars for food away-from-home.
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 30,000 to 39,999 U.S. dollars spent 6,665 U.S. dollars on food on average.
As of March 2024, approximately 50.1 percent of households' expenditure in Indonesia was allocated for food and about 49.9 percent for non-food. During the period measured, there were no significant changes on the share of income spent on food and non-food among urban households in Indonesia.
This statistic shows the share of disposable income spent on food consumed at home in the United States from 1930 to 2014. In 2014, U.S. consumers spent some 5.5 percent of their disposable income on food at home.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Expenditures: Food by Quintiles of Income Before Taxes: Fourth 20 Percent (61st to 80th Percentile) (CXUFOODTOTLLB0105M) from 1984 to 2023 about percentile, tax, expenditures, food, income, and USA.
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
In 2021/22, approximately seven percent of households in the United Kingdom that had a weekly income of less than 200 British pounds reported using a foodbank in the last 12 months, compared with one percent of households that earned more than 1,000 pounds per week.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Expenditures: Miscellaneous Foods by Quintiles of Income Before Taxes: Second 20 Percent (21st to 40th Percentile) (CXUMISCFOODLB0103M) from 1984 to 2023 about miscellaneous, percentile, tax, expenditures, food, income, and USA.
While the cost of a basic food basket as a share of net minimum wages in Ireland and the United Kingdom is quite modest, such a basket costs more than the minimum wage in Nigeria.
This statistic represents the percentage of the daily consumption of calories from fast food among adults in the United States between 2007 and 2010, sorted by age group and income. In that period, the highest rate of 16.6 percent amounted for U.S. adults aged between 20 and 39 years with less than 130 percent of the poverty level.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This data provides historical summaries of total participation and meals served as part of the USDA's Food and Nutrition Service (FNS) School Breakfast Program. The summary data begins in 1969, the year that FNS was established to administer USDA's nutrition assistance program. The School Breakfast Program is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. It began as a pilot project in 1966, and was made permanent in 1975. The School Breakfast Program is administered at the Federal level by the Food and Nutrition Service. At the State level, the program is usually administered by State education agencies, which operate the program through agreements with local school food authorities in more than 89,000 schools and institutions. School districts and independent schools that choose to take part in the breakfast program receive cash subsidies from the USDA for each meal they serve. In return, they must serve breakfasts that meet Federal requirements, and they must offer free or reduced price breakfasts to eligible children. Any child at a participating school may purchase a meal through the School Breakfast Program. Children from families with incomes at or below 130 percent of the Federal poverty level are eligible for free meals. Those with incomes between 130 percent and 185 percent of the poverty level are eligible for reduced-price meals. Resources in this dataset:Resource Title: School Breakfast Participation and Meals Served Data. File Name: sbsummar.xlsResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September.Resource Title: School Breakfast Participation and Meals Served Data. File Name: SchoolBreakfasts2.csvResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September. Participation and meals served numbers are counted in millions, and the free/reduced price meals is a percentage of total meals. 2] in the reduced price column indicates that these numbers were included with the free participation numbers. Resource Title: Data Dictionary. File Name: Data Dictionary_SchoolBreakfastParticipationMealsServed.csv
This statistic shows the share of disposable income spent on food consumed in 2013, broken down by selected countries. U.S. consumers spent 6.7 percent of their disposable income on food at home, compared to a food expenditure share of 48.1 percent in Pakistan.
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.
The statistic depicts the results of a survey conducted in November 2012 by A.T. Kearney concerning the willingness of U.S. shoppers to spend more for local food, based on household type. The survey was conducted online among 1,300 men and women 18 years and older. Some 68 percent of senior citizens said they are willing to pay more for local food.
Russians spent approximately 32 percent of their consumer expenditure on food and non-alcoholic drinks in 2023. The share of the food spending marked a decrease from the previous year, when it stood at nearly 33 percent of what households spent per member on a monthly basis.
As at March 2024, approximately 46.6 percent of urban households' expenditure in Indonesia was allocated for food and about 53.4 percent for non-food. During the period measured, there were no significant changes on the share of income spent on food and non-food among urban households in Indonesia.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Expenditures: Food Away from Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) (CXUFOODAWAYLB1508M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.
According to a survey conducted in 2023, approximately 38 percent of Hungarian households spend 21 to 40 percent of their income on food products. At the same time, a third of households' expenditure on food ranged between 41 to 60 percent of their income.