A survey conducted in October 2022 found that more than half of consumers in the U.S. were buying more items on sale compared to before. In order to save money, many people in the United States also started buying more generic brand products and buying in bulk.

Across the United States and Canada, decision makers in the food service industry were asked about the new changes in consumer behavior that they found to be most challenging as of August 2020. A majority of respondents, 56 percent, stated that consumer concerns for personal health and safety were the most challenging. This finding coincides with developments relating to the coronavirus (COVID-19) pandemic at that time.

Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

Why Choose Success.ai’s Consumer Behavior Data?

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Data Highlights:

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Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...

In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

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 XVI. APPENDIX 5). The microdata are available on CD-ROMs. These microdata files present detailed expenditure and income data from the Interview component of the CE for 2007 and the first quarter of 2008. The Interview survey collects data on up to 95 percent of total household expenditures. In addition to the FMLY, MEMB, MTAB, and ITAB_IMPUTE 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 FMLY or MTAB 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 2007 from the Interview Survey, integrated with data from the Diary Survey, will be published in the report Consumer Expenditures in 2007 (due out in 2009). 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, 2007."

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 noninstitutional 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 2007 and 2008 samples is composed of 91 areas. The design classifies the PSUs into four categories: • 21 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. • 38 "X" PSUs, are medium-sized MSA's. • 16 "Y" PSUs are nonmetropolitan areas that are included in the CPI. • 16 "Z" 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 2007 survey is generated from the 2000 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 nonpermit-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.

Mode of data collection

Computer Assisted Personal Interview [capi]

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.

In 2018, 83 percent of consumers in the United States stated that their frequency of shopping online had increased over the previous five years. 55 percent of respondents stated that they went to shopping malls less than they did five years before.

In today's fast-paced world, understanding consumer behavior isn't just advantageous; it's essential for businesses striving to thrive in competitive markets. Enter Consumer Behavior Data – the game-changer in modern marketing strategies. But what makes it so indispensable? Let's delve into the key features, applications, and why choosing the right provider is paramount.

Why Choose Consumer Behavior Data?

Consumer Behavior Data acts as a compass, guiding businesses through the ever-evolving landscape of consumer preferences. By harnessing this data, companies gain invaluable insights into what drives their target audience, enabling them to tailor products, services, and marketing efforts accordingly. In essence, it's the foundation upon which successful strategies are built.

Key Features That Set Consumer Behavior Data Apart:

● Granularity: Unlike traditional market research methods, Consumer Behavior Data provides granular insights into individual consumer actions, preferences, and trends. This level of detail empowers businesses to make data-driven decisions with pinpoint accuracy.

● Predictive Capabilities: By analyzing past behaviors, Consumer Behavior Data can forecast future trends with remarkable accuracy. This predictive capability enables businesses to stay ahead of the curve, preempting market shifts and proactively meeting consumer demands.

Applications of Consumer Behavior Data:

● Market Segmentation: By identifying distinct consumer segments based on behavior patterns, businesses can tailor their marketing strategies to resonate with specific audience segments, maximizing engagement and conversion rates.

● Personalized Marketing: Consumer Behavior Data enables hyper-personalized marketing campaigns tailored to individual preferences and purchasing behaviors. From personalized recommendations to targeted advertisements, businesses can deliver content that resonates on a personal level, fostering stronger customer relationships.

● Product Development: Understanding consumer behavior is integral to product development. By analyzing feedback, purchase patterns, and consumer sentiments, businesses can refine existing products or innovate new ones that address unmet needs and preferences.

● Customer Retention: Leveraging Consumer Behavior Data, businesses can anticipate customer needs, identify potential churn risks, and implement proactive retention strategies. By delivering personalized experiences and addressing pain points, businesses can foster loyalty and long-term customer relationships.

Why We're the Superior Choice:

● Customized Solutions: Recognizing that every business is unique, we offer customizable solutions tailored to your specific objectives, ensuring maximum relevance and efficacy. ● Simply put – More Data! We offer more consumer data profiles than anyone in the market allowing you to access the largest source of consumer behavior data. ● Robust Data Security: We prioritize the security and privacy of consumer data, implementing stringent measures to safeguard against breaches and unauthorized access.

The Consumer Expenditure Survey (CE) program consists of two surveys: the quarterly Interview survey and the annual Diary survey. Combined, these two surveys provide information on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the U.S. Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The CE collects all on all spending components including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs. The CE tables are an easy-to-use tool for obtaining arts-related spending estimates. They feature several arts-related spending categories, including the following items: Spending on Admissions Plays, theater, opera, and concerts Movies, parks, and museums Spending on Reading Newspapers and magazines Books Digital book readers Spending on Other Arts-Related Items Musical instruments Photographic equipment Audio-visual equipment Toys, games, arts and crafts The CE is important because it is the only Federal survey to provide information on the complete range of consumers' expenditures and incomes, as well as the characteristics of those consumers. It is used by economic policymakers examining the impact of policy changes on economic groups, by the Census Bureau as the source of thresholds for the Supplemental Poverty Measure, by businesses and academic researchers studying consumers' spending habits and trends, by other Federal agencies, and, perhaps most importantly, to regularly revise the Consumer Price Index market basket of goods and services and their relative importance. The most recent data tables are for 2020 and include: 1) Detailed tables with the most granular level of expenditure data available, along with variances and percent reporting for each expenditure item, for all consumer units (listed as "Other" in the Download menu); and 2) Tables with calendar year aggregate shares by demographic characteristics that provide annual aggregate expenditures and shares across demographic groups (listed as "Excel" in the Download menu). Also, see Featured CE Tables and Economic News Releases sections on the CE home page for current data tables and news release. The 1980 through 2020 CE public-use microdata, including Interview Survey data, Diary Survey data, and paradata (information about the data collection process), are available on the CE website.

This dataset provides a sample of survey data collected by the American Customer Satisfaction Index (ACSI). Using online sampling and stratified interviewing techniques of actual customers of predominantly large market-share (“large cap”) companies, the ACSI annually collects data from some 400,000 consumers residing across the United States for more than 400 companies within about 50 consumer industries. For this data depository, consumers’ perceptions of their experiences with individual companies included within four consumer industries as defined and measured by ACSI – processed food, commercial airlines, Internet service providers, and commercial banks – are included in the dataset. The overall sample size is n=8239 consumer responses for this sample ACSI dataset. These industries were chosen to represent and illustrate a cross-section of data from differentiated sectors, not because they are representative of the larger economy or larger ACSI dataset per se.

In 2023, the average consumer unit in the United States spent about 9,985 U.S. dollars on food. Americans spent the most on housing, at 25,436 U.S. dollars, reflecting around one third of annual expenditure. The total average U.S. consumer spending amounted to 77,280 U.S. dollars.

The Consumer Expenditure Survey (CE) program consists of two surveys: the quarterly Interview survey and the annual Diary survey. Combined, these two surveys provide information on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the U.S. Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The CE collects all on all spending components including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs.

The CE features several arts-related spending categories, including the following items:

Spending on Admissions

Plays, theater, opera, and concerts; Movies, parks, and museums;

Spending on Reading

Newspapers and magazines; Books; Digital book readers;

Spending on Other Arts-Related Items

Musical instruments; Photographic equipment; Audio-visual equipment; Toys, games, arts and crafts;

The CE is important because it is the only Federal survey to provide information on the complete range of consumers' expenditures and incomes, as well as the characteristics of those consumers. It is used by economic policymakers examining the impact of policy changes on economic groups, by the Census Bureau as the source of thresholds for the Supplemental Poverty Measure, by businesses and academic researchers studying consumers' spending habits and trends, by other Federal agencies, and, perhaps most importantly, to regularly revise the Consumer Price Index market basket of goods and services and their relative importance.

The most recent data tables are for 2017, and were made available on September 11, 2018. The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on "Excel" in the Dataset(s) section). Also, see Featured CE Tables and Economic News Releases sections on the CE home page for current data tables and news release. The 2017 public-use microdata is the most recent and was released on September 11, 2018.

The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR04415.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The Survey consists of two separate components: (1) a quarterly Interview panel survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary or recordkeeping survey completed by the sample consumer units for two consecutive one-week periods. The Interview survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those which respondents can recall fairly accurately for three months or longer. In general, these expenditures include relatively large purchases, such as those for property, automobiles, and major appliances, or expenditures which occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Expenditures incurred while on trips are also covered by the survey. Excluded are nonprescription drugs, household supplies, and personal care items. Including global estimates on spending for food, it is estimated that about 90 to 95 percent of expenditures are covered in the Interview survey. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08904.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Clients can request access to data for a targeted audience by setting geographic boundaries as well as multiple attribute filters. By specifying the target criteria and focusing on an extremely specific list of consumers that matches their desired interest, they can run their sales and service campaigns with great efficiency. Clients can create direct consumer outreach data files at their fingertips with the power of artificial intelligence to guide them through valuable analytic research. We work closely with our clients to understand their specific goals and help them understand their options and solidify their focus on selections that optimize their budget by creating narrowly focused consumer data list that are right on point! Personal identification such as names, address, cellphone numbers (where available) and landline phone numbers (where available) are automatically included in the resultant data products. Verified emails may also be appended in the order as an option to their data by request and purchase. We look forward to guiding clients through the process to serve the best interests of their needs. To provide this service to our clients as they expect and deserve, we need to understand the goals and limitations of their project and budget. For potential and current clients who want or need personal assistance through the data selection and filtering process, we ask them to please ask us for help by allowing us to guide through the process. To begin the process, clients must first provide us with a good description of the desired criteria, and we will review it for clarity. These are a minimum basic guide to filtering attribute criteria, but others will certainly apply based on the project specific goals: 1.) Full Name and email Address of Requestor 2.) Identify, by name, of the Organization requesting the data 3.) Provide a Valid Budget expectation so we can focus on suitable data 4.) Provide a specific geographic Region of Interest for your data request 5.) Include filtering criteria to be used to process the data, such as: • Apparel Children • Apparel Infant Children • Apparel Men • Apparel Women • Apparel Women Plus Size • Apparel Young Women • Apparel Young Men • Arts and Antiques • Art-Visual Arts Interests • Auto Work • Automotive Buff • Auto parts Accessories • Aviation Interests • Book Buyer • Book Reader • Books Magazines • Camping Hiking • Career Advancement Interests • Children Baby care • Children Back To School • Children Learning Toys • Collectibles Antiques • Collectibles Arts • Collectibles Coins • Collectibles General • Collectibles Sports Memorabilia
• Collectibles Stamps • Collector Avid • Computer Owner • Cooking Enthusiast • Cooking General • Cosmetics Beauty • Current Affairs Politics • Dieting Weight loss • Do-it-Yourself Interests • DVD Videos • Education Online • Electronics Movies Interests • Equestrian Interests • Exercise Aerobic • Exercise Health Grouping • Exercise Running Jogging • Exercise Walking • Female Merchandise Buyer • Food Wines • Foods Natural • Games Board Puzzles • Games Video • Gaming Casino • Gaming Interests • Health and Beauty • Health Medical • High End Appliances • Hobbies – Craft Interests • Hobbies – Craft Hobbies Buyer • Hobbies – Gardening • Hobbies – gardening Farming Buyer • Hobbies – History Military • Hobbies – Sewing Knitting Needlework • Hobbies – Woodworking • Home Décor Enthusiast • Home Improvement Grouping • House Plans • Invest Active • Invest Stock Securities • Investing Finance Grouping • Investments • Investments Foreign • Investments Real Estate • Jewelry Buyer • Lifestyle-Broader Lifestyle • Lifestyle-Common Lifestyle • Lifestyle-Cultural Arts Lifestyle • Lifestyle-Do-it-Yourself Lifestyle • Lifestyle-High Tech Leader • Lifestyle-Highbrow Lifestyle • Lifestyle-Home Living • Lifestyle-Opportunity Seekers • Lifestyle-Professional Lifestyle • Lifestyle-Self Improvements • Lifestyle-Sporty Lifestyle • Lifestyle-Upscale Lifestyle • Lifestyle-Value Hunter • Luggage Buyer • Mail Order Buyer • Mail Responder • Male Merchandise Buyer • Membership Club • Military Memorabilia Weapons • Music Avid Listener • Music Collector • Music Player Device • Music Home Stereo • Musical Instruments • News Financial • Online Buyer • Outdoor Enthusiasts • Outdoor Grouping • Parenting Interests • Pets Cats • Pets Dogs • Pets Multiple • Reading Sci-Fi • Religious Inspiration • Religious Magazines • Sci...

This data collection contains selected expenditure and income data from the diary components of the 1980 and 1981 Consumer Expenditure Surveys. The principal objectives of the survey were to collect current consumer expenditure data to provide a continuous flow of data on the buying habits of American consumers for use in a wide variety of social and economic research and analysis, and to provide data for future revisions to the Consumer Price Index (CPI). The 1980 diary survey data were derived from the reports of over 5,500 sample consumer units. Consumer units were asked to list all of their expenses during the period they were in the survey. The diary data were collected with a household characteristics questionnaire and a separate questionnaire to record daily expenses. The diary survey was intended to obtain reliable expenditure data on small, frequently- purchased items that are normally difficult to recall. These items include expenditures for food and beverages, gas and electricity, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services.

This data collection, which offers detailed information on the spending habits of American consumers, has two components: the Interview Survey and the Diary Survey. The Interview Survey portion tabulates data on a quarterly basis. For this survey consumer units (roughly equivalent to households) were interviewed in each of five consecutive quarters to obtain data on spending habits and patterns. The Detailed Interview files, Parts 9 and 10, contain data on characteristics of the consumer unit, including information on geography and location of residence, characteristics of the household, head, and spouse, housing characteristics, selected expenditure, income and personal tax summary values, and individual family member characteristics. Value data are also presented in these files and cover items such as current consumption expenditures, personal insurance and pensions, gifts and contributions, sources of income, personal taxes paid, other money receipts, net change in assets and market value of selected financial assets, net change in liabilities, and value of items received without direct expense. No quantity or price data are shown. Discrete expenditures are categorized with a high degree of detail in these files. Part 11 supplies summary information about characteristics of the consumer unit and also includes annual expenditures and other disbursements. Parts 12 and 13, which can be used with the detailed data, itemize purchases of durable consumer goods such as major and minor household equipment, selected house furnishings, motorized vehicles and selected trailers and boats. Details are supplied on how and when the items were acquired, cost or value of items, and model of item purchased. Parts 1 and 2 detail individual purchases of clothing and household textiles by each consumer unit. Information in these files specifies the family members for whom each clothing item was purchased, whether the purchase was a gift for someone outside the consumer unit, the quantity of each item purchased, the month and year of each purchase, and the total cost of each expenditure, including applicable sales tax. The Diary Survey contains data on all purchases and other expenses of members of the consumer unit during two consecutive one-week periods (excluding expenses made while away from home overnight on trips or vacations). Diaries, or daily expense records, were placed with consumer units in order to obtain data not collected by the Interview Survey on small, frequently purchased items which are normally difficult to recall over longer periods of time. These include purchases of food, alcoholic beverages, tobacco and smoking supplies, personal care products and services, non-prescription drugs and medical supplies, housekeeping supplies, gas, electricity and other fuel, gasoline, motor oil, coolants and similar products, and miscellaneous items. Diary Survey data in Parts 3 and 4 are organized by survey year and consumer unit and supply information on consumer unit characteristics, family member characteristics, and discrete expenditures. Parts 5 and 6 contain data on daily purchases of food for human consumption, alcoholic beverages, ice, and pet food. Information on quantity purchased, packaging, and amount paid is provided in these files. Parts 7 and 8 record characteristics of the consumer unit with data on items such as age, sex, race, marital status, relationships of each family member, work experience, earnings, family size, number of vehicles owned, and place of residence.

According to a 2024 survey, half of Central American consumers didn't expect a change in their beauty and personal care spending over the next six months. However, roughly 40 percent of consumers expected a decrease in fashion spending. Roughly six in 10 Central American consumers didn't plan on spending on luxury goods altogether.

This statistics presents a forecast of the growth in buying power of consumers in the United States between 2014 and 2019, broken down by ethnic group. According to the source, Latino buying power will experience the highest growth of 32.1 percent in the measured period, while Native Americans are expected to increase their spending by 29.2 percent by 2019. Among Asian consumers, household expenditure on food amounted to approximately 8.5 thousand U.S. dollars on average in 2016, while African Americans spent around 4.6 thousand U.S. dollars that year.

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), the quarterly Interview Survey and the Diary Survey (ICPSR 32482). 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. These included 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 microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2010 Interview Survey release contains seven groups of Interview data files (FMLY, MEMB, MTAB, ITAB, ITAB_IMPUTE, FPAR, and MCHI), 50 EXPN files, and processing files.The FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly data sets for each of these files, running from the first quarter of 2010 through the first quarter of 2011. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTAB file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITAB file contains income data converted to a monthly time frame and assigned to UCCs; and the ITAB_IMPUTE file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.The FPAR and MCHI datasets are grouped as 2-year datasets (2009 and 2010), plus the first quarter of the 2011. The FPAR file contains CU level data about the Interview survey, including paradata collected about the interview within the interview collection instrument (CAPI). This data includes information on the amount of time required to collect each interview and interview section, as well as other interviewer entered information about the resulting survey. 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.Each of the 50 EXPN files contains five quarters of data. The EXPN files contain 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. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.F.6. PROCESSING FILES. There is also a second user guide, "User's Guide to Income Imputation in the CE", which 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, 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 was also collected.