Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data was reported at 34.400 % in 2015. This records a decrease from the previous number of 36.000 % for 2013. Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data is updated yearly, averaging 39.900 % from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 44.500 % in 2005 and a record low of 34.400 % in 2015. Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H010: Average Household Expenditure.

Survey of Household Spending (SHS), average household spending on detailed food categories.

This table contains 2356 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (31 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household expenditure summary-level categories (19 items: Total expenditure; Total current consumption; Food; Shelter;...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).

The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

This table contains 624 series, with data for years 2010 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...); Statistic (1 item: Average expenditure per household); Food expenditures, summary-level categories (48 items: Food expenditures; Food purchased from stores; Bakery products;Bread and unsweetened rolls and buns; ...).

Bangladesh HIES: Household Expenditure per Month: Food data was reported at 14,003.000 BDT in 2022. This records an increase from the previous number of 7,354.000 BDT for 2016. Bangladesh HIES: Household Expenditure per Month: Food data is updated yearly, averaging 6,031.000 BDT from Dec 2000 (Median) to 2022, with 5 observations. The data reached an all-time high of 14,003.000 BDT in 2022 and a record low of 2,477.000 BDT in 2000. Bangladesh HIES: Household Expenditure per Month: Food data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.H011: Household Income and Expenditure Survey: Average Monthly Expenditure per Household.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

A 2022 survey determined that most diners, 42 percent, spend on average 11 to 20 U.S. dollars on dining out in the United States. Meanwhile eight percent of survey respondents spent 50 U.S. dollars or more.

Jordan Average Household Expenditure: per Capita: Urban: Food and Non Alcoholic Beverages (FB) data was reported at 702.700 JOD in 2013. This records an increase from the previous number of 645.200 JOD for 2010. Jordan Average Household Expenditure: per Capita: Urban: Food and Non Alcoholic Beverages (FB) data is updated yearly, averaging 587.700 JOD from Mar 2002 (Median) to 2013, with 5 observations. The data reached an all-time high of 702.700 JOD in 2013 and a record low of 366.300 JOD in 2002. Jordan Average Household Expenditure: per Capita: Urban: Food and Non Alcoholic Beverages (FB) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Jordan – Table JO.H002: Average Household Expenditure per Capita.

Nepal Average Monthly Household Expenditure: Mountain: Non Food data was reported at 1,646.000 NPR in 2015. This records a decrease from the previous number of 7,513.000 NPR for 2006. Nepal Average Monthly Household Expenditure: Mountain: Non Food data is updated yearly, averaging 4,579.500 NPR from Jul 2006 (Median) to 2015, with 2 observations. The data reached an all-time high of 7,513.000 NPR in 2006 and a record low of 1,646.000 NPR in 2015. Nepal Average Monthly Household Expenditure: Mountain: Non Food data remains active status in CEIC and is reported by Nepal Rastra Bank. The data is categorized under Global Database’s Nepal – Table NP.H002: Household Budget Survey: Average Monthly Household Expenditure.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

Average Household Amount Spent on Food, as forcasted for 2021

Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data was reported at 332,901.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data is updated yearly, averaging 332,901.000 CLP from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 332,901.000 CLP in 2022 and a record low of 332,901.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.H031: Household Budget Survey: Monthly Average Household Expenditure.

Abstract

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation. The HIECS 2010/2011 is the tenth Household Income, Expenditure and Consumption Survey that was carried out in 2010/2011, among a long series of similar surveys that started back in 1955. The survey main objectives are:

• To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

• To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

• To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

• To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

• To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

• To define average household and per-capita income from different sources.

• To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

• To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

• To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

• To study the relationships between demographic, geographical, housing characteristics of households and their income.

• To provide data necessary for national accounts especially in compiling inputs and outputs tables.

• To identify consumers behavior changes among socio-economic groups in urban and rural areas.

• To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

• To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

• To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

• To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

Compared to previous surveys, the current survey experienced certain peculiarities, among which :

1- The total sample of the current survey (26.5 thousand households) is divided into two sections:

a- A new sample of 16.5 thousand households. This sample was used to study the geographic differences between urban governorates, urban and rural areas, and frontier governorates as well as other discrepancies related to households characteristics and household size, head of the household's education status, etc.

b- A panel sample with 2008/2009 survey data of around 10 thousand households was selected to accurately study the changes that may have occurred in the households' living standards over the period between the two surveys and over time in the future since CAPMAS will continue to collect panel data for HIECS in the coming years.

2- The number of enumeration area segments is reduced from 2526 in the previous survey to 1000 segments for the new sample, with decreasing the number of households selected from each segment to be (16/18) households instead of (19/20) in the previous survey.

3- Some additional questions that showed to be important based on previous surveys results, were added, such as:

a- Collect the expenditure data on education and health on the person level and not on the household level to enable assessing the real level of average expenditure on those services based on the number of beneficiaries.

b- The extent of health services provided to monitor the level of services available in the Egyptian society.

c- Smoking patterns and behaviors (tobacco types- consumption level- quantities purchased and their values).

d- Counting the number of household members younger than 18 years of age registered in ration cards.

e- Add more details to social security pensions data (for adults, children, scholarships, families of civilian martyrs due to military actions) to match new systems of social security.

f- Duration of usage and current value of durable goods aiming at estimating the service cost of personal consumption, as in the case of imputed rents.

4- Quality control procedures especially for fieldwork, are increased, to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment. 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

National

Analysis unit

1- Household/family

2- Individual/Person

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of HIECS, 2010-2011 is a self-weighted two-stage stratified cluster sample, of around 26500 households. The main elements of the sampling design are described in the following:

1- Sample Size It has been deemed important to collect a smaller sample size (around 26.5 thousand households) compared to previous rounds due to the convergence in the time period over which the survey is conducted to be every two years instead of five years because of its importance. The sample has been proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates. Thus, a sample of about 26500 households has been considered, and was distributed between urban and rural with the percentages of 47.1 % and 52.9, respectively. This sample is divided into two parts: a- A new sample of 16.5 thousand households selected from main enumeration areas. b- A panel sample with 2008/2009 survey data of around 10 thousand households.

2- Cluster size The cluster size in the previous survey has been decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, it has been decided to use a cluster size of only 16 households (that was increased to 18 households in urban governorates and Giza, in addition to urban areas in Helwan and 6th of October, to account for anticipated non-response in those governorates: in view of past experience indicating that non-response may almost be nil in rural governorates). While the cluster size for the panel sample was 4 households.

3- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2010 and its size reached more than 1 million household (1004800 household) selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Detailed breakdown of average weekly household expenditure on goods and services in the UK. Data are shown by place of purchase, income group (deciles) and age of household reference person.

Average household spending on ultra-processed food and beverages, by expenditure tertile.

(StatCan Product) Customization details: This information product has been customized to present information on average household expenditures by household type and age in Alberta for 2010. The age groups presented are outlined below. They are split into 3 separate household types: 1) Alberta (as a whole); 2) One person households; 3) Families. For each of these household types, the age groupings are presented as follows: Total; Less than 35 yrs; 35 to 44 yrs; 45 to 54 yrs; 55 to 64 yrs; Less than 65 yrs; 65 to 74 yrs; 65 yrs plus; 75 yrs plus. The expenditures reported are from these 14 main categories which are broken down even further within this information product: Food; Shelter; Household Operation; Household Furnishings and Equipment; Clothing; Transportation; Health Care; Personal Care; Recreation; Reading materials and other printed matter; Education; Tobacco Products and Alcoholic Beverages; Games of Chance (Net); Miscellaneous Expenditures. The following are also presented: Total Expenditures; Total Current Consumption; Personal Taxes; Personal insurance payments and pension contributions; Gifts of money and contributions. The Survey of Household Spending is carried out annually across Canada in the ten provinces. Data for the territories are available for 1998, 1999 and every second year thereafter. The main purpose of the survey is to obtain detailed information about household spending during the reference year (previous calendar year). Information is also collected about dwelling characteristics as well as household equipment. The survey data are used by the following groups: Government departments use the data to help formulate policy; Community groups, social agencies and consumer groups use the data to support their positions and to lobby governments for social changes; Lawyers and their clients use the data to determine what is fair for child support and other compensation; Labour and contract negotiators rely on the data when discussing wage and cost-of-living clauses; Individuals and families can use the data to compare their spending habits with those of similar types of households. Conducted since 1997, the Survey of Household Spending integrates most of the content found in the Family Expenditure Survey (FAMEX, record number 3504) and the Household Facilities and Equipment Survey (HFE, record number 3505). As of the 2004 reference year, the Homeowner Repair and Renovation Survey (HRRS, record number 3886) was integrated into the Survey of Household Spending.

Nepal Average Monthly Household Expenditure: Mountain: Food data was reported at 18,211.000 NPR in 2015. This records an increase from the previous number of 6,806.000 NPR for 2006. Nepal Average Monthly Household Expenditure: Mountain: Food data is updated yearly, averaging 12,508.500 NPR from Jul 2006 (Median) to 2015, with 2 observations. The data reached an all-time high of 18,211.000 NPR in 2015 and a record low of 6,806.000 NPR in 2006. Nepal Average Monthly Household Expenditure: Mountain: Food data remains active status in CEIC and is reported by Nepal Rastra Bank. The data is categorized under Global Database’s Nepal – Table NP.H002: Household Budget Survey: Average Monthly Household Expenditure.