The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2005 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, retirement planning, recreational vehicle use, financial knowledge, and voting behavior.Other topics in this series typically include ownership, lease, and use of automobiles, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

Knowing who your consumers are is essential for businesses, marketers, and researchers. This detailed demographic file offers an in-depth look at American consumers, packed with insights about personal details, household information, financial status, and lifestyle choices. Let's take a closer look at the data:

Personal Identifiers and Basic Demographics At the heart of this dataset are the key details that make up a consumer profile:

Unique IDs (PID, HHID) for individuals and households Full names (First, Middle, Last) and suffixes Gender and age Date of birth Complete location details (address, city, state, ZIP) These identifiers are critical for accurate marketing and form the base for deeper analysis.

Geospatial Intelligence This file goes beyond just listing addresses by including rich geospatial data like:

Latitude and longitude Census tract and block details Codes for Metropolitan Statistical Areas (MSA) and Core-Based Statistical Areas (CBSA) County size codes Geocoding accuracy This allows for precise geographic segmentation and localized marketing.

Housing and Property Data The dataset covers a lot of ground when it comes to housing, providing valuable insights for real estate professionals, lenders, and home service providers:

Homeownership status Dwelling type (single-family, multi-family, etc.) Property values (market, assessed, and appraised) Year built and square footage Room count, amenities like fireplaces or pools, and building quality This data is crucial for targeting homeowners with products and services like refinancing or home improvement offers.

Wealth and Financial Data For a deeper dive into consumer wealth, the file includes:

Estimated household income Wealth scores Credit card usage Mortgage info (loan amounts, rates, terms) Home equity estimates and investment property ownership These indicators are invaluable for financial services, luxury brands, and fundraising organizations looking to reach affluent individuals.

Lifestyle and Interests One of the most useful features of the dataset is its extensive lifestyle segmentation:

Hobbies and interests (e.g., gardening, travel, sports) Book preferences, magazine subscriptions Outdoor activities (camping, fishing, hunting) Pet ownership, tech usage, political views, and religious affiliations This data is perfect for crafting personalized marketing campaigns and developing products that align with specific consumer preferences.

Consumer Behavior and Purchase Habits The file also sheds light on how consumers behave and shop:

Online and catalog shopping preferences Gift-giving tendencies, presence of children, vehicle ownership Media consumption (TV, radio, internet) Retailers and e-commerce businesses will find this behavioral data especially useful for tailoring their outreach.

Demographic Clusters and Segmentation Pre-built segments like:

Household, neighborhood, family, and digital clusters Generational and lifestage groups make it easier to quickly target specific demographics, streamlining the process for market analysis and campaign planning.

Ethnicity and Language Preferences In today's multicultural market, knowing your audience's cultural background is key. The file includes:

Ethnicity codes and language preferences Flags for Hispanic/Spanish-speaking households This helps ensure culturally relevant and sensitive communication.

Education and Occupation Data The dataset also tracks education and career info:

Education level and occupation codes Home-based business indicators This data is essential for B2B marketers, recruitment agencies, and education-focused campaigns.

Digital and Social Media Habits With everyone online, digital behavior insights are a must:

Internet, TV, radio, and magazine usage Social media platform engagement (Facebook, Instagram, LinkedIn) Streaming subscriptions (Netflix, Hulu) This data helps marketers, app developers, and social media managers connect with their audience in the digital space.

Political and Charitable Tendencies For political campaigns or non-profits, this dataset offers:

Political affiliations and outlook Charitable donation history Volunteer activities These insights are perfect for cause-related marketing and targeted political outreach.

Neighborhood Characteristics By incorporating census data, the file provides a bigger picture of the consumer's environment:

Population density, racial composition, and age distribution Housing occupancy and ownership rates This offers important context for understanding the demographic landscape.

Predictive Consumer Indexes The dataset includes forward-looking indicators in categories like:

Fashion, automotive, and beauty products Health, home decor, pet products, sports, and travel These predictive insights help businesses anticipate consumer trends and needs.

Contact Information Finally, the file includes ke...

This statistic illustrates the consumption behavior of the French regarding their environmental and social consciousness in 2014. According to this survey, around 40 percent of the respondents often bought fair trade products.

The "State Fact Sheets" provide the most recently available farm and rural data compiled by the Economic Research Service, USDA. It provide 2 pages of facts for each state and also a summary fact sheet for the United States. Included are data on population, jobs, income and poverty, and farms. The data comes from a variety of sources including the Bureau of Labor Statistics, Bureau of Economic Analysis, the Bureau of the Census, and ERS.

Collection Organization: Economic Research Service.

Collection Methodology: The data come from a variety of sources including the Bureau of Labor Statistics, Bureau of Economic Analysis, the Bureau of the Census, and ERS.

Collection Frequency: Varies by data source.

Update Characteristics: Selective updates 2 times a year.

STATISTICAL INFORMATION:

The data reside in 52 ASCII text files. LANGUAGE:

English ACCESS/AVAILABILITY:

Data Center: USDA Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University.

URL: 'http://usda.mannlib.cornell.edu/usda'

Access to the data or reports may be achieved through the ERS-NASS information system:

WWW: 'http://usda.mannlib.cornell.edu/usda' Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/'

For subscription direct to an e-mail address, send an e-mail message to:

usda-reports@usda.mannlib.cornell.edu

Type the word "lists" (without quotes) in the body of the message.

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

Social media's influence on Gen Z shopping habits has surged dramatically in recent years. A 2024 survey reveals that ** percent of Gen Z consumers discovered new products or brands through social media influencers, up from ** percent in 2023. This shift underscores the growing importance of digital platforms in shaping consumer behavior, particularly among younger demographics. Beauty and personal care e-commerce growth The rising impact of social media on Gen Z purchasing decisions aligns with broader trends in e-commerce, particularly in the beauty and personal care sector. Global revenue in this market is forecast to increase by ***** percent between 2024 and 2029, reaching a new peak of ****** billion U.S. dollars. This growth trajectory suggests that the digital landscape will continue to play a crucial role in consumer discovery and purchasing habits. Payment preferences among young consumers Traditional payment methods remain popular among Zoomers. A survey across North America, Europe, and Latin America found that debit and credit cards are still preferred by Gen Z for online shopping and travel bookings. However, younger consumers are showing a growing demand for diverse payment options, indicating potential shifts in the e-commerce landscape as digital wallets gain prominence, particularly in Asia-Pacific markets.

This statistic shows the consumer behavior on social networks in China in 2012. In 2012, **** percent of social network users in China complained on social media if they had bad experience.

According to a 2022 survey, more than half (** percent) of U.S. consumers read the product descriptions in social media posts to learn more about the brand. In addition, ** percent of respondents considered it important for brands to respond to social media comments. Moreover, more than ********* (** percent) said they had purchased a brand's product after seeing a livestream on social media.

This survey was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. This type of information is essential for forecasting changes in aggregate consumer behavior. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2003 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Additional questions inquired about buying intentions for automobiles and computers, and the respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income and sources of income, and respondents' ownership, lease, and use of automobiles. Other topics typically include respondents' use of personal computers at home and in the office, respondents' familiarity with and use of the Internet, electronic banking, and information on informed consent and confidentiality regarding the survey. Demographic information includes ethnic origin, sex, age, marital status, and education.

This study examines the impact of Fear of Missing Out (FOMO) on consumer behavior toward Nike products, emphasizing the Moments of Truth framework and gender-based differences. Considering the growing influence of social media and digital connectivity, which amplify the FOMO phenomenon, the research seeks to clarify how FOMO drives consumer engagement within luxury markets. A quantitative method was adopted, utilizing a structured survey instrument with data collected from 100 respondents (41% male and 59% female), predominantly aged between 20 and 29 years. The data were analyzed using the PLS algorithm to ensure the validity and reliability of the findings. The results demonstrate that FOMO significantly affects certain Moments of Truth across both genders, although other stages show less pronounced effects. The findings offer valuable insights into the role of FOMO in shaping consumer perceptions and behaviors, providing a foundation for further investigations into how these patterns may vary across different demographic and cultural contexts. Such research is essential for informing marketing strategies tailored to diverse consumer segments in an increasingly competitive environment. The study also acknowledges limitations, recommending future research to employ larger, probabilistic samples with balanced demographic distributions to improve the generalizability and robustness of the results.

This statistic shows the consumer confidence indicator in Flanders, Wallonia and the Brussels Capital Region from January 2018 to December 2025. Every month, a completely different representative sample of ***** people is questioned about the macroeconomic situation in Belgium and their own financial position and consumer behavior. The sample is representative for the geographic, social and demographic differences in Belgium. Macroeconomic questions on unemployment and the Belgian economy, and personal questions about the financial position of the household and the savings of the household are used to calculate the consumer confidence indicator. Overall, the consumer confidence in the Flemish region is higher than that of the Walloon and Brussels Capital region.A consumer confidence indicator characterizes the general opinion of consumers in a defined period and is designed to show how optimistic or pessimistic consumers feel about the financial situation of households and how various factors, such as unemployment or savings expectations, affect their future behavior. Respondents are asked questions in a survey, with both positive and negative answers being possible. The number of positive and negative answers to each of the questions are totaled, leading to the indicator.

The data consists of 375 samples of data for seven variables related to Green Consumption Behaviour - Environmental concern, Social influence, Perceived behavioural control, Consumer innovativeness – Novelty seeking and Green Consumption Behaviour alongside with Demographic information such as age, gender, education level, occupation, ethnicity, marital status, personal income, number of household, work category and Media consumption preference.

During a 2022 survey, 56 percent of U.S. consumers said they preferred social media shopping because it was easier and faster than traditional e-commerce channels. In addition, 70 percent of respondents said they would rather check the social media app directly than go to a third party website. Finally, about six out of ten shoppers in the U.S. felt the "buy now" button was necessary when shopping on social networks.

More than **** of consumers belonging to Generation Z bought something on social media platforms, according to a survey in 2024. Almost a ***** of overall consumers bought on social media platforms. The consumer experience In a 2023 survey, Facebook and Instagram were the social media platforms offering the best shopping experience. To gain deeper insights into the elements constituting a satisfactory social commerce shopping journey from the user's viewpoint, key factors shaping consumers' heightened engagement with social commerce included, but were not limited to, deals and discounts, seamless purchasing processes, exclusive offers, and increased availability of customer reviews. Social shopping destinations Facebook is the leading social commerce platform globally, except among Gen Z, who favor Instagram and TikTok. However, the types of social media accounts that shoppers followed and purchased from varied by age group. Gen Z and Millennials predominantly bought from brand accounts, with Gen Z also showing a preference for social media influencers. Conversely, Gen X and Boomers preferred purchasing from trusted retailer accounts.

According to a survey on social media influencers conducted by Rakuten Insight in May 2023, approximately 68 percent of Indonesian respondents stated that they had purchased an item or product because it had been endorsed by an influencer. The same survey found that the majority of Indonesian respondents followed at least one influencer on social media.

Association of density of alcohol sales licenses, survey year, and social deprivation index with proportion of alcohol consumption among Thai adolescents: Results from a spatiotemporal mixed model analysis (N = 9,566).

This News Media Survey provides information on consumer media exposure and interests, exposure to and views about science, opinions about scientists and Russian science, and long-distance telephone usage over time. Variables explore respondents' exposure to various media, their use of the media as a source of scientific information, their attitudes toward science, and the effects of science on society, their opinions of the character of scientists and the comparative quality of Russian and United States science, and the extent and quality of respondents' information about earth satellites. Other variables present information on the effects of the recession on respondents' families, their financial assets relative to the previous year, and their air travel. Demographic variables provide information on age, sex, race, marital status, education, occupation, religion, family size, and family income.

According to a survey on social media influencers conducted by Rakuten Insight in May 2023, ** percent of respondents from the Philippines stated that they had purchased an item or product because an influencer endorsed it. The same survey revealed they bought the item or product because the influencer's promotion convinced them.

Data set from a long-term population-based prospective study of non-institutionalized residents (aged 21 or older, or aged 16-21 and older if married) in Alameda County, California investigating social and behavioral risk factors for morbidity, mortality, functioning and health. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, health status, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (part 2) containing mortality data. With the aging of this cohort, data are becoming increasingly valuable for examining the life-long cumulative effects of social and behavioral factors on a well-characterized population. The first wave collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel and examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994. * Dates of Study: 1965-1999 * Sample Size: 1965: 6,928; 1974: 4,864; 1994: 2,729; 1995: 2,569, 1999: 2,123 * Study Features: Longitudinal Links: * 1965 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06688 * 1974 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06838 * 1994 and 1995 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03083 * 1999 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary