In 2024/25, approximately 2.9 million emergency food parcels were distributed from Trussell Trust food banks in the United Kingdom, compared with 3.1 million in 2023/24. There has been a steep rise in food bank usage in the UK, with a threefold increase in the number of parcels distributed in 2023/24, compared with 2014/15. As of the most recent year, there were over 1,700 Trussell Trust food bank distribution centers in the UK, compared with 1,500 in 2018/19. Cost of Living crisis continues Since late 2021, UK households have had to grapple with a steep rise in the cost of living. This crisis appeared to have peaked in 2022, when around 90 percent of households were reporting monthly increases to their living costs, and inflation reached a 40-year high of 11.1 percent in October 2022. Although inflation subsequently came down and wages began to outpace inflation from 2023 onward, prices remain far higher than before the crisis began. Furthermore, the first half of 2025 has seen an uptick in inflation, which, although expected to subside towards the end of the year, has piled further misery on struggling UK households. Growing discontent with political mainstream After one year in power, the current Labour government is almost as unpopular as the Conservative government they replaced, which suffered one of their worst results in their history at the last election. To deal with the UK's precarious public finances without significant tax rises, Labour have attempted to make reforms to welfare, such as cutting the winter fuel allowances for all but the poorest pensioners. This cut in particular was so unpopular that Labour reinstated it for most pensioners, with further attempts at welfare reform also hitting a roadblock. These events, along with a stuttering economy, have seen Labour fall significantly at the polls, especially at the expense of the right-wing Reform Party, who have generally led the polls since the start of the year.

In 2024/25, over ******* people used a food bank in London, an when compared to the previous year. Food bank use in London has steadily climbed recently, with 108,370 users recorded in 2014/15.

In 2024/25 there were 1,711 food bank distribution centers run by the UK's main food bank distributor, the Trussell Trust, compared with 1,703 in the previous year. In this year, over 2.89 million parcels were distributed, compared with 3.13 million in the previous year.

As of 2025, there were *** food banks in Germany. This was a decrease by one compared to the previous year. The German Tafel scheme was set up in 1993. Food bank usage ‘Tafel’ in Germany is an organization that it similar to the concept of food banks in the United States. These food banks operate at a regional level and provide food that would otherwise be destroyed to those in need either for free or at a heavily discounted price. In 2022, around two million people were using food banks in Germany, this was the highest figure since 2014. This new peak was likely due to the large increase in food prices over the past two years. Both 2022 and 2023 saw a year-on-year increase of over 12 percent. It was not just Germany that was facing higher food prices. Countries across the world have been experiencing a rise in the price of groceries. Over 10 percent of people living in Spain, Great Britain, Germany, France, and Italy said that it was usually difficult for them to afford food items at the end of 2022. In France and Italy there were noticeably higher rates. Poverty When it came to the average financial wealth of adults in Europe, Switzerland, Iceland, and Denmark topped the list. Germany ranked 13th on the list, with average wealth of adults at 113,00 U.S. dollars. This average, however, does not represent the entire population, and there are people in Germany, as in every country, who struggle to finance day-to-day life. In 2024, there were around **** percent of people at risk of living in poverty. This was a slight increase compared to the previous year. In certain cities the risk of living in poverty was even higher than the national average. The city of Duisburg, which is located in western Germany, had an at risk of living in poverty rate of over ** percent. In Bremen, a city close to Hamburg, the share of those facing financial difficulties was almost ** percent.

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.

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.

Japan JP: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 12.893 % in 2012. This records an increase from the previous number of 12.847 % for 2010. Japan JP: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 9.773 % from Dec 1963 (Median) to 2012, with 49 observations. The data reached an all-time high of 14.415 % in 2009 and a record low of 7.863 % in 1970. Japan JP: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

At the time of Appraisal of the Food Security Project, Ethiopia was a post-conflict state having just emerged from a two-year long armed conflict with Eritrea. Though the conflict resulted in a suspension of development assistance, an Interim Strategy Note (ISN) was put in place in November 2000 to guide the World Bank’s post-conflict recovery program. This ISN guided much of the strategy for the Food Security Project’s design. District governments, or woredas, were largely responsible for delivering services. Though the agricultural sector remained underemployed, it was still the largest sector of the economy, meaning there was little opportunity outside rural areas for non-farming activities. Poor rural households also lacked sufficient access to the microfinance sector. Droughts and food price escalation caused massive food insecurity for around 7-13 million people. The Food Security Project (FSP) wanted to shift assistance focus away from short term temporary fixes toward addressing long-term problems of food insecurity. The FSP was designed to comprise 5 components: (i) grants to communities and kebeles, including community-level assets building, household asset building and income generating activities, and child growth promotion; (ii) capacity building for woredas, regions, and federal ministries; (iii) food marketing initiatives, including improved management of food aid, establishment of a food market information system, development of a warehouse receipt and inventory credit system for traders, and development of a competitive and efficient market in warehousing services; (iv) communications and public education; and (v) project administration and impact evaluation. While these components were edited before the culmination of the project, they generally remained. The project development objective was to build the resource base of poorer rural households, increase their employment and incomes, and improve their nutrition levels, especially for children under five years of age, pregnant and lactating women. A major benefit of FSP participation is access to credit. Documented outcomes included: (i) small increase in the number of months FSP households were food secure and a small decrease in number of months of food consumption covered by own resources; (ii) positive effect on caregivers’ knowledge of and behavior regarding child nutrition; (iii) FSP households slightly less likely to have had at least one shock in the last five years and less likely to have used savings or a loan to buy food; and (iv) FSP households reported an increase of off-farm work.

Climate change is increasing temperature, decreasing precipitation, and increasing atmospheric CO2 concentrations in many ecosystems. As atmospheric carbon rises, plants may increase carbon-based defenses such as phenolics, thereby potentially affecting food quality, foraging habits, and habitat suitability for mammalian herbivores. In alpine habitats, the American pika (Ochotona princeps) is a model species for studying effects of changing plant chemistry on mammals. To survive between growing seasons, pikas cache “haypiles” of plants rich in phenolics. Although they are acutely toxic to pikas, phenolic compounds help plants retain biomass and nutrition during storage, and they break down over time. Alpine avens (Geum rossii, Rosales: Rosaceae) is a high-phenolic plant species that comprises up to 75% of pika winter diet in Colorado. Here, we tested the hypothesis that contemporary climate change has affected the nutritional value of Alpine avens to pikas in the last 30 years. Specifically, we compared phenolic activity, nutritional quality, and overwinter preservation of plants collected at Niwot Ridge, Colorado (USA) in 1992 to those collected between 2010 – 2018, spanning nearly three decades of climate change. Phenolic activity increased in alpine avens since 1992, while fiber and nitrogen content decreased. Importantly, overwinter preservation of plant biomass also increased, particularly on windblown slopes without long-lasting snow cover. Previous studies indicate that pikas at this site still depend on alpine avens in their winter food caches. Increasing phenolic content in alpine avens could therefore enhance the preservation of haypiles over winter; however, if pikas must further delay consuming these plants to avoid acute toxicity, then he nutritional gains from enhanced preservation may not be beneficial. This study provides important insights into how changing plant chemistry will affect mammalian herbivores in the future.

State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Manufacture of Food Products data was reported at 342,571.200 USD th in 2017. This records an increase from the previous number of 341,764.600 USD th for 2016. State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Manufacture of Food Products data is updated yearly, averaging 310,793.850 USD th from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 393,190.165 USD th in 2013 and a record low of 248,350.400 USD th in 2011. State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Manufacture of Food Products data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.B005: Industrial Production.

Peru Loans: Commercial Banks: Corporate: Manufacturing: Food Beverages & Tobacco data was reported at 11,099,306.454 PEN th in Jun 2018. This records an increase from the previous number of 10,921,785.436 PEN th for May 2018. Peru Loans: Commercial Banks: Corporate: Manufacturing: Food Beverages & Tobacco data is updated monthly, averaging 8,167,201.376 PEN th from Jul 2010 (Median) to Jun 2018, with 96 observations. The data reached an all-time high of 11,099,306.454 PEN th in Jun 2018 and a record low of 5,195,387.616 PEN th in Nov 2010. Peru Loans: Commercial Banks: Corporate: Manufacturing: Food Beverages & Tobacco data remains active status in CEIC and is reported by Superintendency of Banks, Insurance and Pension Funds. The data is categorized under Global Database’s Peru – Table PE.KA011: Commercial Banks: Direct Loans by Economic Sector. This series includes Corporate, Large Companies, Medium Companies, Small Companies & Microenterprises

Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California (SMU06000007072259001SA) from Jan 1990 to Aug 2025 about restaurant, leisure, hospitality, food, CA, services, employment, and USA.

Abstract

The basic goal of this survey is to provide the necessary database for formulating national policies at various levels. It represents the contribution of the household sector to the Gross National Product (GNP). Household Surveys help as well in determining the incidence of poverty, and providing weighted data which reflects the relative importance of the consumption items to be employed in determining the benchmark for rates and prices of items and services. Generally, the Household Expenditure and Consumption Survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory.

The raw survey data provided by the Statistical Office was cleaned and harmonized by the Economic Research Forum, in the context of a major research project to develop and expand knowledge on equity and inequality in the Arab region. The main focus of the project is to measure the magnitude and direction of change in inequality and to understand the complex contributing social, political and economic forces influencing its levels. However, the measurement and analysis of the magnitude and direction of change in this inequality cannot be consistently carried out without harmonized and comparable micro-level data on income and expenditures. Therefore, one important component of this research project is securing and harmonizing household surveys from as many countries in the region as possible, adhering to international statistics on household living standards distribution. Once the dataset has been compiled, the Economic Research Forum makes it available, subject to confidentiality agreements, to all researchers and institutions concerned with data collection and issues of inequality. Data is a public good, in the interest of the region, and it is consistent with the Economic Research Forum's mandate to make micro data available, aiding regional research on this important topic.

Geographic coverage

The survey data covers urban, rural and camp areas in West Bank and Gaza Strip.

Analysis unit

1- Household/families. 2- Individuals.

Universe

The survey covered all Palestinian households who are usually resident in the Palestinian Territory during 2010.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample and Frame:

The sampling frame consists of all enumeration areas which were enumerated in 2007, each numeration area consists of buildings and housing units with average of about 120 households in it. These enumeration areas are used as primary sampling units PSUs in the first stage of the sampling selection.

Sample Design:

The sample is a stratified cluster systematic random sample with two stages: First stage: selection of a systematic random sample of 192 enumeration areas. Second stage: selection of a systematic random sample of 24 households from each enumeration area selected in the first stage.

Note: in Jerusalem Governorate (J1), 13 enumeration areas were selected; then in the second phase, a group of households from each enumeration area were chosen using census-2007 method of delineation and enumeration. This method was adopted to ensure household response is to the maximum to comply with the percentage of non-response as set in the sample design.Enumeration areas were distributed to twelve months and the sample for each quarter covers sample strata (Governorate, locality type) Sample strata:

The population was divided by:

1- Governorate 2- Type of Locality (urban, rural, refugee camps)

Sample Size:

The calculated sample size for the Expenditure and Consumption Survey in 2010 is about 3,757 households, 2,574 households in West Bank and 1,183 households in Gaza Strip.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire consists of two main parts:

First: Survey's questionnaire

Part of the questionnaire is to be filled in during the visit at the beginning of the month, while the other part is to be filled in at the end of the month. The questionnaire includes:

Control sheet: Includes household’s identification data, date of visit, data on the fieldwork and data processing team, and summary of household’s members by gender.

Household roster: Includes demographic, social, and economic characteristics of household’s members.

Housing characteristics: Includes data like type of housing unit, number of rooms, value of rent, and connection of housing unit to basic services like water, electricity and sewage. In addition, data in this section includes source of energy used for cooking and heating, distance of housing unit from transportation, education, and health centers, and sources of income generation like ownership of farm land or animals.

Food and Non-Food Items: includes food and non-food items, and household record her expenditure for one month.

Durable Goods Schedule: Includes list of main goods like washing machine, refrigerator,TV.

Assistances and Poverty: Includes data about cash and in kind assistances (assistance value,assistance source), also collecting data about household situation, and the procedures to cover expenses.

Monthly and annual income: Data pertinent to household’s income from different sources is collected at the end of the registration period.

Second: List of goods

The classification of the list of goods is based on the recommendation of the United Nations for the SNA under the name Classification of Personal Consumption by purpose. The list includes 55 groups of expenditure and consumption where each is given a sequence number based on its importance to the household starting with food goods, clothing groups, housing, medical treatment, transportation and communication, and lastly durable goods. Each group consists of important goods. The total number of goods in all groups amounted to 667 items for goods and services. Groups from 1-21 includes goods pertinent to food, drinks and cigarettes. Group 22 includes goods that are home produced and consumed by the household. The groups 23-45 include all items except food, drinks and cigarettes. The groups 50-55 include durable goods. The data is collected based on different reference periods to represent expenditure during the whole year except for cars where data is collected for the last three years.

Registration form

The registration form includes instructions and examples on how to record consumption and expenditure items. The form includes columns: 1.Monetary: If the good is purchased, or in kind: if the item is self produced. 2.Title of the service of the good 3.Unit of measurement (kilogram, liter, number) 4. Quantity 5. Value

The pages of the registration form are colored differently for the weeks of the month. The footer for each page includes remarks that encourage households to participate in the survey. The following are instructions that illustrate the nature of the items that should be recorded: 1. Monetary expenditures during purchases 2. Purchases based on debts 3.Monetary gifts once presented 4. Interest at pay 5. Self produced food and goods once consumed 6. Food and merchandise from commercial project once consumed 7. Merchandises once received as a wage or part of a wage from the employer.

Cleaning operations

Raw Data

Data editing took place through a number of stages, including: 1. Office editing and coding 2. Data entry 3. Structure checking and completeness 4. Structural checking of SPSS data files

Harmonized Data

• The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.
• The harmonization process starts with cleaning all raw data files received from the Statistical Office.
• Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/compute/recode/rename/format/label harmonized variables.
• A post-harmonization cleaning process is run on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.

Response rate

The survey sample consisted of 4,767 households, which includes 4,608 households of the original sample plus 159 households as an additional sample. A total of 3,757 households completed the interview: 2,574 households from the West Bank and 1,183 households in the Gaza Strip. Weights were modified to account for the non-response rate. The response rate in the Palestinian Territory 28.1% (82.4% in the West Bank was and 81.6% in Gaza Strip).

Sampling error estimates

The impact of errors on data quality was reduced to a minimum due to the high efficiency and outstanding selection, training, and performance of the fieldworkers. Procedures adopted during the fieldwork of the survey were considered a necessity to ensure the collection of accurate data, notably: 1) Develop schedules to conduct field visits to households during survey fieldwork. The objectives of the visits and the data collected on each visit were predetermined. 2) Fieldwork editing rules were applied during the data collection to ensure corrections were implemented before the end of fieldwork activities. 3) Fieldworkers were instructed to provide details in cases of extreme expenditure or consumption by the household. 4) Questions on income were postponed until the final visit at the end of the month. 5) Validation rules were embedded in the data processing systems, along with procedures to verify data entry and data edit.

All potato chips, regardless of style of chips, flavor, packaging type or size."

In July 2025, the inflation rate for food prices in the United Kingdom was measured at 4.9 percent. A period of continuous deflation between March 2015 and January 2017 preceded a return to a sustained rise in the cost of food from February 2017 onwards. While food prices were deflating between September 2020 and July 2021, they started increasing rapidly from August 2021 to March 2023. The inflation rate started to decline from April 2023, but is picking up again in 2025.Inflation rate and consumer price indexInflation is commonly measured via the consumer price index, which illustrates changes to prices paid by consumers for a representative basket of goods and services. An annualized percentage change in the price index constitutes a measure of inflation. In order to maintain an inflation rate at a stable level, to enable the general public and businesses to plan their spending, the Government set a two percent inflation target for the Bank of England. The discounter boom The increase in food prices in the United Kingdom has shifted shopping behaviors amongst consumers. Value is now key and shoppers are changing their retailer loyalties. Aldi, the German discount supermarket retailer, overtook Morrisons as Great Britain's fourth largest supermarket in September of 2022. Aldi's market share reached double digits for the first time in April 2023. It is yet to be seen if Lidl, Aldi's discounter competitor, can also continue to rise up in the ranks and eventually take over Morrisons as the fifth leading food retailer.

Sri Lanka Commercial Banks: Loans: Vegetable, Fruit, Minor Food Crops data was reported at 28,148.000 LKR mn in Jun 2018. This records an increase from the previous number of 27,759.000 LKR mn for Mar 2018. Sri Lanka Commercial Banks: Loans: Vegetable, Fruit, Minor Food Crops data is updated quarterly, averaging 14,720.000 LKR mn from Jun 2010 (Median) to Jun 2018, with 33 observations. The data reached an all-time high of 29,336.000 LKR mn in Dec 2017 and a record low of 6,024.000 LKR mn in Sep 2010. Sri Lanka Commercial Banks: Loans: Vegetable, Fruit, Minor Food Crops data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.KB001: Deposits and Loans: Commercial Bank.

Regular butter, sold in sticks, per pound (16 oz.). Includes organic and non-organic butter."

Graph and download economic data for Average Price: All Soft Drinks (Cost per 2 Liters/67.6 Ounces) in U.S. City Average (APU0000FN1101) from Apr 2018 to Sep 2025 about other food items, retail, price, and USA.

State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Food and Beverage Service Activities data was reported at 86,096.800 USD th in 2017. This records an increase from the previous number of 84,530.000 USD th for 2016. State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Food and Beverage Service Activities data is updated yearly, averaging 72,182.300 USD th from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 101,872.800 USD th in 2014 and a record low of 19,339.100 USD th in 2011. State of Palestine (West Bank and Gaza) Industrial Production: West Bank: Food and Beverage Service Activities data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.B005: Industrial Production.

South Africa ZA: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 21.867 % in 2010. This records an increase from the previous number of 19.703 % for 2009. South Africa ZA: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 15.196 % from Dec 1963 (Median) to 2010, with 38 observations. The data reached an all-time high of 21.867 % in 2010 and a record low of 12.281 % in 1980. South Africa ZA: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;