Graph and download economic data for Expenditures: Total Average Annual Expenditures by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) (CXUTOTALEXPLB1509M) from 2014 to 2023 about percentile, tax, average, expenditures, income, and USA.

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.

This statistic shows the average household food expenditure by income in the United States in 2023. In that year, households with an income range of 30,000 to 39,999 U.S. dollars spent 6,665 U.S. dollars on food on average.

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

A 2022 survey on apparel and footwear shopping revealed that overall, the highest share of consumers (** percent) across all surveyed income groups spent on average between *** and *** U.S. dollars on apparel and footwear annually.

Canada Consumer Expectations: Household Income & Spending: Income Growth data was reported at 2.220 % in Mar 2025. This records a decrease from the previous number of 2.360 % for Dec 2024. Canada Consumer Expectations: Household Income & Spending: Income Growth data is updated quarterly, averaging 2.050 % from Dec 2014 (Median) to Mar 2025, with 42 observations. The data reached an all-time high of 2.730 % in Mar 2018 and a record low of 1.100 % in Jun 2020. Canada Consumer Expectations: Household Income & Spending: Income Growth data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.H025: Consumer Expectations Survey. Consumer Expectations Survey Questionnaire: Income growth: Over the next 12 months, by about what percent do you expect your total household income* to increase (decrease)? Spending growth: Over the next 12 months, by about what percent do you expect the total spending of all members of your household to increase (decrease)?

Annual average net outlays for vehicle purchases came to above ***** U.S. dollars for all U.S. consumers in 2023, ranging between around ***** U.S. dollars for those in the lowest income bracket to nearly ****** U.S. dollars for consumers in the highest income group.

In the past 3 years, there have been large fluctuations in consumer spending and smaller changes in disposable income in private German households. In 2024, disposable income had increased by *** percent compared to the previous year and consumer spending had increased by * percent. 2022 had the largest increase in consumer spending, at almost ** percent. Economic situation The economy has a big impact on consumer spending habits. In the wake of the pandemic, there have been several economic hardships, including extremely high inflation rates. Both 2022 and 2023 saw high inflation rates at **** and **** percent respectively. The general opinion among the German population is that the economic situation will get worse in the future, which could cause more caution in spending habits. This assessment is based on the perspective of the population and not a prediction of the direction in which the German economy is headed. So although it may influence spending patterns to some extent, the amount of money people receive each month and the price of goods will have a much bigger influence. Consumer goods The most popular non-food consumer goods that are bought in Germany are pharmaceuticals, orthopedic products, textiles, and clothing and shoes. The top result is perhaps unsurprising, as medication is something that is not optional to buy for those who are reliant on it and in some cases can be quite expensive. Similarly, clothing and shoes are also essentials and, for some people, a passion, in which case they can spend a substantial amount of money on cultivating their wardrobe. When it came to the best-selling FMCG products, the top three products were pasta products, organic fruit, vegetables, and salty snacks.

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index.

The CE program is comprised of two separate components (each with its own survey questionnaire and independent sample), the Diary Survey and the quarterly Interview Survey (ICPSR 36237). This data collection contains the Diary Survey component, which was designed to obtain data on frequently purchased smaller items, including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs. Each consumer unit (CU) recorded its expenditures in a diary for two consecutive 1-week periods. Although the diary was designed to collect information on expenditures that could not be easily recalled over time, respondents were asked to report all expenses (except overnight travel) that the CU incurred during the survey week.

The 2013 Diary Survey release contains five sets of data files (FMLD, MEMD, EXPD, DTBD, DTID), and one processing file (DSTUB). The FMLD, MEMD, EXPD, DTBD, and DTID files are organized by the quarter of the calendar year in which the data were collected. There are four quarterly datasets for each of these files.

The FMLD files contain CU characteristics, income, and summary level expenditures; the MEMD files contain member characteristics and income data; the EXPD files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTBD files contain the CU's reported annual income values or the mean of the five imputed income values in the multiple imputation method; and the DTID files contain the five imputed income values. Please note that the summary level expenditure and income information on the FMLD files permit the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The DSTUB file provides the aggregation scheme used in the published consumer expenditure tables. The DSTUB file is further explained in Section III.F.6. 'Processing Files' of the Diary Survey Users' Guide. A second documentation guide, the 'Users' Guide to Income Imputation,' includes information on how to appropriately use the imputed income data.

Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information was also collected, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over.

The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on 'Other' in the Dataset(s) section). The tables show average and percentile expenditures for detailed items, as well as the standard error and coefficient of variation (CV) for each spending estimate. The BLS unpublished integrated CE data tables are provided as an easy-to-use tool for obtaining spending estimates. However, users are cautioned to read the BLS explanatory letter accompanying the tables. The letter explains that estimates of average expenditures on detailed spending items (such as leisure and art-related categories) may be unreliable due to so few reports of expenditures for those items.

A Household Income and Expenditure Survey (HIES) collects a wealth of information on household expenditure, income, own-account production and consumption. HIES also collects information on sectoral and thematic areas such as gender, education, health, labour, primary activities, transport, information and communication and cash transfers and remittances. The HIES data will be used to: · derive expenditure weights for the revision of the Consumer Price Index (CPI); · supplement the data available for use in compiling official estimates of various components in the System of National Accounts; and · gather information on welfare and food security in Palau. The data will inform indicators under the United Nations Sustainable Development Goals (SDGs) and guide social and economic policy.

Version 01: Cleaned and de-identified version of the Master file.

• Collection start: 2023
• Collection end: 2024

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. The CE program is comprised of two separate components, each with its own questionnaire and independent sample: (1) the quarterly Interview Survey, and (2) the Diary Survey. This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. Items include relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures. The 2013 Interview Survey contains eight groups of Interview data files (FMLI, MEMI, MTBI, ITBI, ITII, NTAXI, FPAR, and MCHI), forty-three Detailed Expenditure (EXPN) files, and processing files. The FMLI, MEMI, MTBI, ITBI, ITII, and NTAXI files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly datasets for each of these files, running from the first quarter of 2013 through the first quarter of 2014 (with NTAXI files starting the second quarter of 2013). The FMLI file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMI file contains member characteristics and income data; the MTBI file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITBI file contains income data converted to a monthly time frame and assigned to UCCs; and the ITII file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs. The NTAXI file contains federal and state tax information for each tax unit within the CU. The FPAR and MCHI datasets are grouped as 2-year datasets (2012 and 2013), plus the first quarter of 2014, and contain paradata about the Interview survey. The FPAR file contains CU level data about the Interview survey, including timing and record use. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data. 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. Each of the 43 EXPN files contains five quarters of data, directly derived from their respective questionnaire sections. The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. There are two types of processing files: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), and (2) a vehicle make file (CAPIVEHI). The processing files are further explained in the Interview Survey Users' Guide, Section III.H.9. "Processing Files." In addition to the primary users' guide, the Users' Guide to Income Imputation provides information on how to appropriately use the imputed income data. Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information was also collected, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over. The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on "Other" in the Dataset(s) section). The tables show average and percentile expenditures for detailed items, as well as the standard error and coefficient of variation (CV) for each spending

While the R&D expenditure of high income countries has increased by almost ** percent since 1996 to reach **** trillion U.S. dollars in 2017, in middle and low income countries expenditure increased more than ********* over this time, reaching *** billion. This increase is largely due to the influence of China, though. Once China is excluded, 2017 R&D spending for middle and low income countries drops to *** billion U.S. dollars.

All dollar amounts are nominalized to 2005 purchasing power parity values.

Income per Household: Mean: FS: SB: Scholarships data was reported at 176.000 EUR in 2024. This records an increase from the previous number of 135.000 EUR for 2023. Income per Household: Mean: FS: SB: Scholarships data is updated yearly, averaging 133.000 EUR from Dec 2008 (Median) to 2024, with 17 observations. The data reached an all-time high of 190.000 EUR in 2012 and a record low of 118.000 EUR in 2014. Income per Household: Mean: FS: SB: Scholarships data remains active status in CEIC and is reported by Statistical Office of the Republic of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.H012: Household Income and Expenditure.

How do Dutch consumers keep track of their personal savings? The survey results suggest that as of 2019, the vast majority of consumers in the Netherlands used internet banking and banking apps to monitor their income and expenditure. Over 60 percent of respondents indicated that they relied on internet banking, while approximately 45 percent of respondents used mobile banking apps to keep track of their finances. Several banking apps made it to a ranking of the twenty most used apps in the Netherlands in 2018.

United States - Government current expenditures: Income security: Welfare and social services was 400.23900 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current expenditures: Income security: Welfare and social services reached a record high of 975.54200 in January of 2021 and a record low of 4.16100 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current expenditures: Income security: Welfare and social services - last updated from the United States Federal Reserve on July of 2025.

The income of Russia's federal budget reached over 29 trillion Russian rubles in 2021, which was approximately 3.3 trillion Russian rubles below its expenditure. In other words, Russia achieved a budget deficit in that year. For instance, in the second quarter of 2023, the budget deficit was recorded at 2.35 trillion Russian rubles.

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.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

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 2008/2009 is the tenth Household Income, Expenditure and Consumption Survey that was carried out in 2008/2009, 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 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 measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates. - To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation. - To define mean 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 dependant 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 and expenditure for commodities and services. - 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 sources and the levels of expenditure in both urban and rural areas. - To identify the value of expenditure for food according to 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 ...) in urban and rural areas. - To identify the percentage distribution of income recipients 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- Doubling the number of area segments from 1200 in the previous survey to 2526 segments with decreasing the number of households selected from each segment to be (20) households instead of (40) in the previous survey to ensure appropriate representatives in the society. 2- Changing the survey period to 15 days instead of one month in the previous one 200412005, to lighten the respondent burden and encourage more cooperation. 3- Adding some additional questions: a- Participation or the benefits gained from pension and social security system. b- Participation in health insurance system. 4- Increasing quality control Procedures especially for fieldwork to ensure data accuracy and avoid any errors in suitable time.

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

Covering a sample of urban and rural areas in all the governorates.

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 CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The sample of HIECS, 2008-2009 is a two-stage stratified cluster sample, approximately self-weighted, of nearly 48000 households. The main elements of the sampling design are described in the following.

1- Sample Size
It has been deemed important to retain the same sample size of the previous two HIECS rounds. Thus, a sample of about 48000 households has been considered. The justification of maintaining the sample size at this level is to have estimates with levels of precision similar to those of the previous two rounds: therefore trend analysis with the previous two surveys will not be distorted by substantial changes in sampling errors from round to another. In addition, this relatively large national sample implies proportional samples of reasonable sizes for smaller governorates. Nonetheless, over-sampling has been introduced to raise the sample size of small governorates to about 1000 households As a result, reasonably precise estimates could be extracted for those governorates. The over-sampling has resulted in a slight increase in the national sample to 48658 households.

2- Cluster size
An important lesson learned from the previous two HIECS rounds is that the cluster size applied in both surveys is found to be too large to yield an accepted design effect estimates. The cluster size was 40 households in the 2004-2005 round, descending from 80 households in the 1999-2000 round. The estimates of the design effect (deft) for most survey measures of the latest round were extraordinary large. As a result, it has been decided to decrease the cluster size to only 19 households (20 households in urban governorates to account for anticipated non-response in those governorates: in view of past experience non-response is almost nil in rural governorates).

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among the documentation materials published in both Arabic and English.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires have been designed as following: 1- Expenditure and consumption questionnaire. 2- Diary questionnaire for expenditure and consumption. 3- Income questionnaire.

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. - Using the recent Classification of Individual Consumption according to Purpose (COICOP). - Using more than one approach of expenditure measurement to serve many purposes of the survey.

A brief description of each questionnaire is given next:

1- Expenditure and Consumption Questionnaire

This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. The questionnaire is divided into two main sections.

Section one: Household schedule and other information. It includes: - Demographic characteristics and basic data for all household individuals consisting of 18 questions for every person. - Members of household who are currently working abroad. - The household ration card. - The main outlets that provide food and beverage. - Domestic and foreign tourism. - The housing conditions including 15 questions. - Means of transportation used to go to work or school. - The household possession of appliances and means of transportation. - This section includes some questions which help to define the social and economic level of households which in turn, help interviewers to check the plausibility of expenditure, consumption and income data.

Section two: Expenditure and consumption data It includes 14 tables as follows: - The quantity and value of food and beverages commodities actually consumed. - The quantity and value of the actual consumption of alcoholic beverages, tobacco and narcotics. - The quantity and value of the clothing and footwear. - The household expenditure for housing. - The household expenditure for furnishings, household equipment and routine maintenance of the house. - The household expenditure for health care services. - The household expenditure for transportation. - The household

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Income Before Taxes: $30,000 to $39,999 (CXUTOTALEXPLB0207M) from 1984 to 2023 about tax, average, expenditures, income, and USA.

Graph and download economic data for Government current expenditures: Income security (G160341A027NBEA) from 1959 to 2023 about social assistance, expenditures, government, income, GDP, and USA.