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.

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.

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.

Food Banks is a point dataset identifying food banks in British Columbia.

State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Others data was reported at 10.400 JOD in 2017. This records a decrease from the previous number of 33.500 JOD for 2011. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Others data is updated yearly, averaging 21.300 JOD from Dec 1996 (Median) to 2017, with 12 observations. The data reached an all-time high of 33.500 JOD in 2011 and a record low of 0.200 JOD in 2010. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Others 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.H001: Average Monthly Household Consumption and Expenditure.

State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Food: Cash: Fish and Sea Products data was reported at 6.000 JOD in 2017. This records a decrease from the previous number of 7.400 JOD for 2011. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Food: Cash: Fish and Sea Products data is updated yearly, averaging 4.250 JOD from Dec 1996 (Median) to 2017, with 12 observations. The data reached an all-time high of 7.500 JOD in 2010 and a record low of 3.500 JOD in 2001. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Food: Cash: Fish and Sea 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.H001: Average Monthly Household Consumption and Expenditure.

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 Jun 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, 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.

Abstract copyright UK Data Service and data collection copyright owner.The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP. The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage. The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage. Safe Room Access FRS data In addition to the standard End User Licence (EUL) version, Safe Room access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 7196, where the extra contents are listed. The Safe Room version also includes secure access versions of the Households Below Average Income (HBAI) and Pensioners' Incomes (PI) datasets. The Safe Room access data are currently only available to UK HE/FE applicants and for access at the UK Data Archive's Safe Room at the University of Essex, Colchester. Prospective users of the Safe Room access version of the FRS/HBAI/PI will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from Guidance on applying for the Family Resources Survey: Secure Access.FRS, HBAI and PIThe FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503 respectively. The secure access versions are held within the Safe Room FRS study under SN 7196 (see above). The FRS aims to: support the monitoring of the social security programmesupport the costing and modelling of changes to National Insurance contributions and social security benefitsprovide better information for the forecasting of benefit expenditure From April 2002, the FRS was extended to include Northern Ireland. Detailed information regarding anonymisation within the FRS can be found in the anonymised variables volume of the dataset documentation. Latest Edition: For the third edition (October 2014) the data were re-grossed following revision of the FRS grossing methodology to take account of the 2011 Census mid-year population estimates. New variable GROSS4 was added to the dataset. In August 2019, at the depositor's request, the Pensioners' Income (PI) dataset (pianon) previously held with the FRS was moved to a separate PI series study, SN 8503.

This interactive map of Nepal, broken down into five development regions, highlights the Mid-Western and Far-Western regions as the priority area for the Nepal Food Security Enhancement Project (jointly financed by the Nepal Government and GAFSP). The project is being implemented in nineteen hill and mountain districts of these two regions. The interactive map shows sub-national poverty and malnutrition data, as well as information on irrigation in the various regions. The Mid-Western and Far-Western regions are the two regions where poverty and malnutrition are the highest in the country. The Nepal Living Standard Survey (NLSS III, 2010) showed that 37% of the people in the rural hills of these regions fall below the poverty line, compared to the national average of 25.16%. The proportion of underweight children under the age of 5 years in the Mid-Western region is the highest in the country (more than 10%). The project has been designed to enhance food security and nutrition in food insecure communities in these two regions. Data Sources: Nepal Agriculture and Food Security Project (NAFSP) LocationsSource: GAFSP and World Bank Documents. Poverty (Proportion of population below the poverty line) (2010/11): Proportion of the population living on less than Rs 19.261 per year, in average 2010/11 prices.Source: Nepal Central Bureau of Statistics. Poverty in Nepal 2010/11. Nepal Living Standard Survey III 2010/11 (NLSS III). Poverty (Proportion of population below the poverty line at district level) (2011): Proportion of the population living on less than Rs 19.261 per year, in average 2010/11 prices.Source: Nepal Central Bureau of Statistics - World Bank. “Nepal Small Area Estimation of Poverty, 2011 -Estimations based on Living Standards Survey 2010-11, Nepal Census 2011 and GIS information from the Vulnerability Analysis and Mapping Unit of World Food Program Nepal.” Malnutrition (Proportion of underweight children under 5 years) (2011): Prevalence of severely underweight children is the percentage of children aged 0-59 months whose weight for age is less than minus 3 standard deviations below the median weight-for-age of the international reference population.Source: Measure DHS - Nepal Ministry of Health and Population. "2011 Nepal Demographic and Health Survey." Population (Total population) (2011): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Source: Nepal Central Bureau of Statistics. “2011 Census Preliminary Results.” Population Density (Persons per 1 square kilometer) (2011): Population divided by land area in square kilometers.Source: Nepal Central Bureau of Statistics. 2011 Census preliminary results. Irrigation (2009/10): Total Irrigated Area in Hectares.Source: Ministry of Agriculture and Co-operatives. Statistical Information on Nepalese Agriculture 2009/10. Irrigation (2011/12): Total irrigated area in hectares.Source: Ministry of Agriculture - Department of Irrigation - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Area (2011-12): Area in hectares of agricultural land used for rice.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012."

Rice Production (2011-12): Rice harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Productivity (2011-12): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Area (2013-14): Area in hectares of agriculture land used for rice.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."

Rice Production (2013-14): Rice harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."
Rice Productivity (2013-14): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Wheat Area (2011-12): Area in hectares of agriculture land used for wheat.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Wheat Production (2011-12): Wheat harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012."
Wheat Productivity (2011-12): Wheat yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Wheat Area (2013-14): Area in hectares of agriculture land used for wheat.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Wheat Production (2013-14): Wheat harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."
Wheat Productivity (2013-14): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Livestock Inventory (2011-12): Number of cattle, goat, and sheep by district.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Livestock Inventory (2013-14): Number of cattle, goat, and sheep by district.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."

The maps displayed on the GAFSP website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Household Operations data was reported at 12.200 JOD in 2017. This records a decrease from the previous number of 13.800 JOD for 2011. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Household Operations data is updated yearly, averaging 9.100 JOD from Dec 1996 (Median) to 2017, with 12 observations. The data reached an all-time high of 13.900 JOD in 2010 and a record low of 7.200 JOD in 1998. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Household Operations 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.H001: Average Monthly Household Consumption and Expenditure.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The basic goal of the Household and Consumption Survey is to provide a necessary database for formulating national policies at various levels. This survey provides the contribution of the household sector to the Gross National Product (GNP). It determines the incidence of poverty, and provides 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. Furthermore, this 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 Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

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

Analysis unit

1- Household/family. 2- Individual/person.

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

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

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 Agency.
• 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 then conducted 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.

State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Alcoholic Beverages data was reported at 0.100 JOD in 2017. This stayed constant from the previous number of 0.100 JOD for 2011. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Alcoholic Beverages data is updated yearly, averaging 0.100 JOD from Dec 1996 (Median) to 2017, with 12 observations. The data reached an all-time high of 38.700 JOD in 2010 and a record low of 0.000 JOD in 2006. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Alcoholic Beverages 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.H001: Average Monthly Household Consumption and Expenditure.

State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Recreation data was reported at 14.500 JOD in 2017. This records an increase from the previous number of 13.800 JOD for 2011. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Recreation data is updated yearly, averaging 15.550 JOD from Dec 1996 (Median) to 2017, with 12 observations. The data reached an all-time high of 31.400 JOD in 2010 and a record low of 11.600 JOD in 2006. State of Palestine (West Bank and Gaza) Avg Monthly Household Consumption: Non Food: Cash: Recreation 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.H001: Average Monthly Household Consumption and Expenditure.

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

The dataset portrays poverty rates at the country level. The data for the poverty dataset comes from the Tajikistan Living Standard Measurement Survey 2009 (TLSS) collected by the State Statistical Agency of Tajikistan in collaboration with the World Bank, and the 2010 Census of Tajikistan. The TLSS provides information on food and non-food expenditure, labor activities, migration, agriculture, education, dwelling, utilities, and durable goods. The Census of Tajikistan covers approximately 1.6 million households and 8 million individuals.

Poverty rates vary from 12.7 to 76.2 percent, a higher percentage representing areas of higher poverty incidence.

This dataset has been produced based on the data provided in the "Poverty Mapping in Tajikistan: Method and Key Findings" report. This report is the joint product of the World Bank Group (WBG) and the Agency of Statistics under the President of Tajikistan (TajStat).

Data publication: 2021-11-03

Contact points:

Metadata Contact: Dariia Nesterenko

Resource Contact: World Bank Group

Resource constraints:

Creative Commons Attribution 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ for the poverty data Creative Commons Attribution-ShareAlike 2.0 https://creativecommons.org/licenses/by-sa/2.0/ for the administrative boundaries

Online resources:

The World Bank

Online resource

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