Media and entertainment spending patterns in the United States reveal intriguing age-related disparities. A late-2024 study found that Americans spent an average of 1,399 U.S. dollars annually on digital media and entertainment, a slight decrease from two years prior. Notably, consumers aged 35 to 54 outspent other age groups, allocating 1,610 U.S. dollars per year to digital media consumption. Generational differences in media spending The rise of digital platforms has transformed how different age groups consume media. While 66 percent of the general population spent less than 1,000 U.S. dollars on media and entertainment annually, this figure rose to 77 percent for those aged 55 and older. Interestingly, it is not the youngest age group that was ready to spend more on media subscriptions, services and products, but millennials - their annual expenses were more likely to reach up to five thousand U.S. dollars. This disparity suggests that younger and older generations may be more frugal with their entertainment choices. Consumption follows similar age patterns The spending behavior is a direct result of how different generations consume media. Data on time spent with media types in the United States clearly suggest that millennials favor the more expensive ones - they devote more of their weekly hours to TV connected devices and video on a computer, as well as apps on tablets and internet on a computer. These media are the ones hosting the majority of subscription services - hence the increased spending outcomes. Younger and older generations in this case seem to spend more of their time with free entertainment sources.

This data collection includes detailed information on the purchasing habits of Americans in 1960-1961, with over 200 types of expenditures coded. For the first time since 1941, the Consumer Expenditure Survey sampled both urban, non-farm and rural, farm households in an attempt to provide a complete picture of consumer expenditures in the United States. Personal interviews were conducted in 1960 and 1961 (and a small number in 1959) with 9,476 urban families, 2,285 rural non-farm families, and 1,967 rural farm families, for a total of 13,728 consumer units interviewed. A complete account of family income and outlays was compiled for a calendar year, as well as household characteristics. The expenditures covered by the survey were those which respondents could recall fairly accurately for three months or longer. In general, these expenditures included relatively large purchases, such as those for property, automobiles, and major appliances, or expenditures that occurred on a fairly regular basis, such as rent, utilities, or insurance premiums. Expenditures incurred while on trips were also covered by the survey. Information to determine net changes in the family's assets and liabilities during the year was also gathered. The estimated value of goods and services received, as gifts or otherwise, without direct expenditures by the family, was requested also. In addition, farm families provided farm receipts, disbursements, changes in farm assets, and value of home-produced food. To supplement the annual data, non-farm families who prepared meals at home provided a detailed seven-day record, during the week prior to the interview, of expenditures for food and related items purchased frequently (e.g., tobacco, personal care, and household supplies). For selected items of clothing, house furnishings, and food, the record of expenditures was supplemented by information on quantities purchased and prices paid. Characteristics of the housing occupied by homeowners and renters and an inventory of the major items of house furnishing they owned also were recorded. Demographic information includes sex, age, years of school completed, occupation, race, and marital status of each family member.

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.

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 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.

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 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.

Abstract (en): 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. Total civilian noninstitutionalized population of the United States. National probability sample. 2006-01-12 All files were removed from dataset 14 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 14 and flagged as study-level files, so that they will accompany all downloads. Machine-readable codebooks are available for Parts 1, 2, 5, 6, 10, and 11. For Parts 1 and 2 there are at least 18 records of data for each consumer unit with 17 records of consumer unit and family member characteristics data and one or more records of purchase data. Data for the first survey year include 167,871 characteristics records and 527,575 purchase records. Data for the second survey year include 171,906 characteristics records and 534,115 purchase records. For Parts 3 and 4 there are 9 records of characteristics information and a variable number of expenditure records per consume...

In 2023, housing required the highest amount of consumer expenditure across all races, with Asian individuals spending the most. Additionally, Asian individuals spent more on personal insurance and pensions, as well as education than any other race.

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 Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary 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 that 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 that 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. The Consumer Unit Characteristics and Income (FMLY) files in this collection contain consumer unit characteristics, consumer unit income, and characteristics and earnings of both the reference person and the spouse. Summary expenditure data are also provided. The Member Characteristics and Income (MEMB) files present selected characteristics for each consumer unit member, including reference person and spouse. Each record in the FMLY and MEMB files consists of three months of data. Detailed Expenditures (MTAB) files provide monthly data at the Universal Classification Code (UCC) level. In these files expenditures for each consumer unit are classified according to UCC categories and are specified as gifts or nongifts. There may be more than one record for a UCC in a single month if that is what was xreported to the interviewer. The Income (ITAB) files supply monthly data at the UCC level for consumer unit characteristics and income. (Source: downloaded from ICPSR 7/13/10)

This data collection includes detailed information on the purchasing habits of Americans in 1960-1961, with over 200 types of expenditures coded. For the first time since 1941, the Consumer Expenditure Survey sampled both urban, non-farm and rural, farm households in an attempt to provide a complete picture of consumer expenditures in the United States. Personal interviews were conducted in 1960 and 1961 (and a small number in 1959) with 9,476 urban families, 2,285 rural non-farm families, and 1,967 rural farm families, for a total of 13,728 consumer units interviewed. A complete account of family income and outlays was compiled for a calendar year, as well as household characteristics. The expenditures covered by the survey were those which respondents could recall fairly accurately for three months or longer. In general, these expenditures included relatively large purchases, such as those for property, automobiles, and major appliances, or expenditures that occurred on a fairly regular basis, such as rent, utilities, or insurance premiums. Expenditures incurred while on trips were also covered by the survey. Information to determine net changes in the family's assets and liabilities during the year was also gathered. The estimated value of goods and services received, as gifts or otherwise, without direct expenditures by the family, was requested also. In addition, farm families provided farm receipts, disbursements, changes in farm assets, and value of home-produced food. To supplement the annual data, non-farm families who prepared meals at home provided a detailed seven-day record, during the week prior to the interview, of expenditures for food and related items purchased frequently (e.g., tobacco, personal care, and household supplies). For selected items of clothing, house furnishings, and food, the record of expenditures was supplemented by information on quantities purchased and prices paid. Characteristics of the housing occupied by homeowners and renters and an inventory of the major items of house furnishing they owned also were recorded. Demographic information includes sex, age, years of school completed, occupation, race, and marital status of each family member. (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/ICPSR09035.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

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. (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/ICPSR09034.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...

Americans are spending more time than ever consuming media, with projections indicating a continued upward trend. In 2023, the average daily time spent with major media formats, including television, newspapers, magazines, radio, and digital platforms, reached 12 hours and 31 minutes. This figure is expected to surpass 13 hours and 40 minutes by 2026, highlighting the growing role of media in daily life. Digital media dominates consumption The increase in overall media consumption is largely driven by digital platforms. By 2025, U.S. consumers are anticipated to spend nearly eight hours per day with digital media alone. This shift towards digital formats was accelerated by the COVID-19 pandemic, which led to a sharp increase in the usage of streaming services and e- books. Today the digital media thrives because of mobile internet and smart TVs, and it is likely to continue on this path as consumers are still looking for ease of access and on-the-go experiences. Generational differences in media habits While television remains the primary device among the general population, younger demographics show different media device preferences. A March 2024 study revealed that 33 percent of adults in the United States used mainly the TV for entertainment purposes. However, for those aged 18 to 34, smartphones were the primary device of choice. This generational divide in media consumption habits underscores the evolving landscape of entertainment and the growing importance of mobile devices in capturing younger audiences.

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.

Envestnet®| Yodlee®'s Consumer Behavior Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

See Gallup Poll Social Series (GPSS) collection description for details. Note: The Consumption Habits survey was not conducted in 2020.

Abstract (en): 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 Survey in which each consumer unit in the sample is interviewed every three months over a fifteen-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Diary Survey contains consumer information on small, frequently purchased items such as food, beverages, food consumed away from home, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services. Participants are asked to maintain expense records, or diaries, of all purchases made each day for two consecutive one-week periods. The Consumer Unit Characteristics and Income (FMLY) files supply information on consumer unit characteristics, consumer unit income, and characteristics and earnings of the reference person and his or her spouse. A consumer unit consists of all members of a particular housing unit who are related by blood, marriage, adoption, or some other legal arrangement. Consumer unit determination for unrelated persons is based on financial independence. Member Characteristics (MEMB) files contain selected characteristics and earnings for each consumer unit member, including information on relationship to reference person. The Detailed Expenditures (EXPN) files present weekly data on expenditures at the Universal Classification Code (UCC) level, while Income (DTAB) files contain data on CU characteristics and income at the UCC level. Part 20, Documentation File, includes a sample program and a list of the FMLY, MEMB, EXPN, and DTAB variables by start position. Part 17, Aggregation File, and Part 18, Label File, contain processing files used by the program in Part 20. Parts 25 and 26 are SAS programs that generate means, variances, standard errors, and coefficients of variation. Noninstitutional civilian population of the United States. National probability sample of households designed to represent the total noninstitutional civilian population. 2006-01-12 All files were removed from dataset 24 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 23 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 22 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 21 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 20 and flagged as study-level files, so that they will accompany all downloads. The codebook is provided as an MSWord 7 file and as a Portable Document Format (PDF) file, and the data collection instruments are provided as PDF files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

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.

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: • Auto Buy New Interest • Auto Buy Used Interest • Auto Buy Used Next 5 Months • Auto Buy Used 6 Months Plus

6.) Available emails (unverified) 7.) Available fully verified emails 8.) Are cell phone numbers for individuals a requirement? 9.) How urgently do you need this data delivered?

Standard delivery is within 3 to 5 business days of full agreement of request criteria when verified emails are included.

Expedited delivery is within 1 business day of full agreement of request criteria when there is no need of verified emails.

Universities are welcomed and they usually qualify for special academic discounts (please ask if you think this may apply).

We always follow laws and regulations of the USA for consumer data products. Therefore, an additional validation processes may be required based on location and request. We do not provide legal advice to our clients, but we try to help them by providing as much information on the topics we know. Keep in mind, each state in the union may or may not have legal restrictions on the consumer data and it is the client's responsibility to be aware and comply with all laws regarding data we may provide.