This statistic presents the results of a survey about the average monthly expenditure on e-commerce in Taiwan as of November 2019. During the survey period, respondents in Taiwan aged 25 to 29 years old were spending online around 2,689 New Taiwan dollars per month on average.

Survey of Household Spending (SHS), average household spending by age of reference person.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: from Age 25 to 34 (CXUTOTALEXPLB0403M) from 1984 to 2023 about age, 25 years +, average, expenditures, and USA.

The average weekly household expenditure for households where the reference person was aged between 30 and 49 in the United Kingdom was approximately 608.4 British pounds a week in 2021/22, the highest of the provided age groups. Households where the reference person was over the age of 75 had the lowest average weekly expenditure, at 356.3 pounds a week.

In 2024, households in Japan with a household head aged between 50 and 59 years old spent a monthly average of about ***** thousand Japanese yen on consumption expenditures, the highest among households. By comparison, the monthly consumer spending of households with a head aged 29 years and younger amounted to around ***** thousand yen on average.

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

This statistic reveals the average monthly food budget of French households in 2016, according to the age group, in euros. It shows that households aged 18 to 24 spent a little more than *** euros a month on their food purchases.

The Singapore Department of Statistics undertakes the Household Expenditure Survey (HES) once in 5 years to collect detailed information from resident households in Singapore. The latest HES was conducted from Oct 2012 to Sep 2013. Topics covered include household consumption expenditure, households' income, socio-economic characteristics and ownership of selected consumer durables.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_1db7fc61182711ea8e2f125e9dd2c014/view

According to a 2024 conducted survey on fast food consumption and spending habits in Australia, those aged between 40 and 49 years old had the highest spending per month on fast food, at an average of ** Australian dollars. Following closely, respondents aged 18 to 39 shelled out on average *** Australian dollar less per month than 40 to 49-year-olds. Those aged 70 and over recorded the lowest average monthly expenditure on fast food across the age groups surveyed.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_2ede16ab227a079fdf98f64aa2ee00a3/view

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_c92c69c95f6bcbf83c31e132eddc8997/view

Pet owners aged between 35 and 44 spent the most on their most expensive pet in the United States, with an average monthly spend of *** dollars in 2021. The ** and older old age group of pet owners spent the least on average per month.

According to the source, people in France spent an average of 28 euros per month of their budget on purchasing footwear, before the COVID-19 pandemic occurred. In detail, it also appears that the people who had the highest spending on shoes were between 18 and 24 years old. They spent an average of 36 euros per month on footwear, compared to only 23 euros for people aged over 65 years.

The average monthly spending on apparel and footwear in Russian households has increased since 2020. In 2023, over 1,900 Russian rubles per month were spent on fashion items, having grown by 12 percent from the previous year. Russian clothing retail industry Average per capita household spending growth on apparel and footwear, along with the accelerated e-commerce market development in the region, were some of the crucial stimulating factors to the industry. Simultaneously, the Russian offline trade of clothing and footwear is also experiencing expansion. For example, the highest number of retail chains countrywide was recorded for the named sectors as of January 2023.    Shopping behavior Even though online shopping is becoming increasingly popular in Russia, preference for a traditional shopping experience remains significantly widespread among customers of all ages. In terms of average spending, traditional offline stores outperformed their online counterparts by average receipt value in all age groups until 45 years old in 2021.

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.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. To meet the needs of users, the Bureau of Labor Statistics (BLS) produces population estimates for consumer units (CUs) of average expenditures in news releases, reports, issues, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (See Section XV. APPENDIX 4). The microdata are available online at http://www/bls.gov/cex/pumdhome.htm. These microdata files present detailed expenditure and income data from the Interview component of the CE for 2003 and the first quarter of 2004. The Interview survey collects data on up to 95 percent of total household expenditures. In addition to the FMLI, MEMI, MTBI, and ITBI files, the microdata include files created directly from the expenditure sections of the Interview survey (EXPN files). The EXPN files contain expenditure data and ancillary descriptive information, often not available on the FMLI or MTBI files, in a format similar to the Interview questionnaire. In addition to the extra information available on the EXPN files, users can identify distinct spending categories easily and reduce processing time due to the organization of the files by type of expenditure. Estimates of average expenditures in 2003 from the Interview Survey, integrated with data from the Diary Survey, will be published in the report Consumer Expenditures in 2003. A list of recent publications containing data from the CE appears at the end of this documentation. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: "U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Interview Survey, 2003."

Analysis unit

Consumer Units

Kind of data

Sample survey data [ssd]

Sampling procedure

Samples for the CE are national probability samples of households designed to be representative of the total U. S. civilian population. Eligible population includes all civilian non-institutionalized persons. The first step in sampling is the selection of primary sampling units (PSUs), which consist of counties (or parts thereof) or groups of counties. The set of sample PSUs used for the 2003 and 2004 samples is composed of 105 areas. The design classifies the PSUs into four categories: • 31 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. • 46 "B" PSUs, are medium-sized MSA's. • 10 "C" PSUs are nonmetropolitan areas that are included in the CPI. • 18 "D" PSUs are nonmetropolitan areas where only the urban population data will be included in the CPI.

The sampling frame (that is, the list from which housing units were chosen) for the 2003 and 2004 surveys is generated from the 1990 Census of Population 100-percent-detail file. The sampling frame is augmented by new construction permits and by techniques used to eliminate recognized deficiencies in census coverage. All Enumeration Districts (EDs) from the Census that fail to meet the criterion for good addresses for new construction, and all EDs in non-permit-issuing areas are grouped into the area segment frame. Interviewers are then assigned to list these areas before a sample is drawn. To the extent possible, an unclustered sample of units is selected within each PSU. This lack of clustering is desirable because the sample size of the Diary Survey is small relative to other surveys, while the intraclass correlations for expenditure characteristics are relatively large. This suggests that any clustering of the sample units could result in an unacceptable increase in the within-PSU variance and, as a result, the total variance. The Interview Survey is a panel rotation survey. Each panel is interviewed for five consecutive quarters and then dropped from the survey. As one panel leaves the survey, a new panel is introduced. Approximately 20 percent of the addresses are new to the survey each month.

WEIGHTING Each CU included in the CE represents a given number of CUs in the U.S. population, which is considered to be the universe. The translation of sample families into the universe of families is known as weighting. However, since the unit of analysis for the CE is a CU, the weighting is performed at the CU level. Several factors are involved in determining the weight for each CU for which an interview is obtained. There are four steps in the weighting procedure: 1) The basic weight is assigned to an address and is the inverse of the probability of selection of the housing unit. 2) A weight control factor is applied to each interview if subsampling is performed in the field. 3) A noninterview adjustment is made for units where data could not be collected from occupied housing units. The adjustment is performed as a function of region, housing tenure, family size and race. 4) A final adjustment is performed to adjust the sample estimates to national population controls derived from the Current Population Survey. The adjustments are made based on both the CU's Member composition and the CU as a whole. The weight for the CU is adjusted for individuals within the CU to meet the controls for 14 age/race categories, 4 regions, and 4 region/urban categories. The CU weight is also adjusted to meet the control for total number of CUs and total number of CUs who own their living quarters. The weighting procedure uses an iterative process to ensure that the sample estimates meet all the population controls. NOTE: The weight for a consumer unit (CU) can be different for each quarter in which the CU participates in the survey, as the CU may represent a different number of CUs with similar characteristics.

Mode of data collection

Computer Assisted Personal Interview [capi]

Malaysia Exp Per Household: 25 to 34yrs: Monthly Average (MA) data was reported at 3,737.000 MYR in 2016. This records an increase from the previous number of 3,489.000 MYR for 2014. Malaysia Exp Per Household: 25 to 34yrs: Monthly Average (MA) data is updated yearly, averaging 2,792.500 MYR from May 2005 (Median) to 2016, with 4 observations. The data reached an all-time high of 3,737.000 MYR in 2016 and a record low of 1,708.000 MYR in 2005. Malaysia Exp Per Household: 25 to 34yrs: Monthly Average (MA) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H042: Household Expenditure Survey: by Age Group.

Survey of Household Spending (SHS), average household spending by household type.

Personal Spending in the United States decreased 0.10 percent in May of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.