Premium U.S. B2C Consumer & Household Intelligence Dataset (Acxiom) – 250M lines CSV

Description

Published / updated October 2025

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This dataset covers the entire U.S. population, over 250M individuals, including detailed demographics, household info, financial data, interests, and purchasing behavior. It provides a complete view of U.S. consumers for marketing, analysis, and business intelligence.

Full-population U.S. consumer datasets from Acxiom and similar providers typically cost $250,000–$400,000 per year for equivalent coverage. This product delivers the same depth and scale at a fraction of that cost, giving access to 250M records with full demographic, financial, and lifestyle attributes.

Product Description

Unlock detailed insights into U.S. consumers and households with the Premium U.S. Consumer & Household Intelligence Dataset (Acxiom). This 250M-record CSV dataset delivers comprehensive, verified consumer and household information, including demographics, locations, financial behavior, interests, shopping preferences, and lifestyle data. Ideal for marketers, data analysts, and business intelligence teams seeking actionable insights, this dataset is sourced from Acxiom, a trusted provider of consumer intelligence.

Dataset specifications

Key Features & Categories of Data:

This comprehensive dataset combines consumer and professional contact information, household and demographic details, lifestyle and interest attributes, financial and credit profiles, home ownership and mortgage data, and geographic insights across multiple regions. The data originates from Acxiom, a trusted provider of high-quality, verified consumer and business information. With over 250M+ records, 400+ columns, and detailed insights on income, occupation, education, purchasing behavior, hobbies, travel, health, and media preferences, this dataset is ideal for marketing segmentation, lead generation, predictive analytics, and customer profiling. Includes full mailing addresses, emails, phone numbers, geolocation, credit and investment indicators, and household composition.

Because of its richness, you can filter by income tiers, homeowner status, mortgage/refinance activity, credit card usage, hobbies, charitable giving, children’s ages, ethnicity, and many more. Though data vintage is circa 2020–2022, many static attributes (home, address, property, demographic) remain useful, while dynamic fields (email, phone, credit) will require validation/enrichment.

Full Data Schema Summary

Data Schema Details

1. Identity / Personal Information

Purpose: Captures the individual’s identity, names, titles, and demographics.
Columns Included:

• AddressID, IndividualId, personfirstname, personmiddleinitial, personlastname, PersonSurnameSuffix, persontitleofrespect, persongender, persondateofbirthyear, persondateofbirthmonth, persondateofbirthday, personexactage, personagecode, InferredAge, personmaritalstatus

Explanation:
This group identifies individuals by full name, honorifics, date of birth, age, gender, marital status, and internal IDs.

2. Address / Location

Purpose: Captures physical location details and geographic identifiers.
Columns Included:

• housenumber, predirection, streetname, streetsuffix, postdirection, unitdesignator, unitdesignatornumber, primaryaddress, secondaryaddress, state, ZipCode, Zip_4, del_point_check_digit, msa, countycode, countyname, citynameabbr, cityname, carrier_route, censustract, censusblock, latitude, longitude, timezone, Xaxis, Yaxis, Zaxis, RDID, livingunitid

Explanation:
Provides full mailing and geospatial info for each individual, including address components, city, state, ZIP+4, geocoordinates, Census tract/block, and additional internal routing/location codes.

3. Contact / Communication

Purpose: Tracks phone, email, and online contact channels.
Columns Included:

• Phone, EMAILFLAG, URL, IP

Explanation:
Contains phone numbers, email addresses (with validity flags), and digital contact points like website URLs and last known IP.

4. Household / Family

Purpose: Captures household composition, children, and adults.
Columns Included:

• numberofpersonsinlivingunit, presenceofchildren, NumberOfChildren, ChildrenAge00_02 … ChildrenAge16_17Unknown, NumberOfAdults, GenerationsInHousehold, YoungAdultInHousehold, SeniorAdultInHousehold, SingleParent

Explanation:
Describes household size, number of children by age and gender, number of adults, multigenerational living, and presence of specific age groups.

5. Socioeconomic / Income

Purpose: Captures inferred and observed income, net worth, and wealth indicators.
Columns Included:

• estimatedincomecode, homeownerprobabilitymodel, LengthOfResidence, LengthOfResidenceCode, Networth, Investing_Active, InvestmentsPersonal, InvestmentsRealEstate, InvestingFinanceGrouping, InvestmentsForeign, InvestmentEstimatedResidentialPropertiesOwned

Explanation:
Gives insight into financial capacity, investment behavior, home ownership probability, and wealth classification.

6. Occupation / Professional

Purpose: Tracks employment, career level, and professional role.
Columns Included:

• occupationgroup, personoccupation, businessowner, career, CareerImprovement, WorkingWoman, AfricanAmericanProfessionals, SohoIndicator

Explanation:
Identifies job function, industry sector, business ownership, and career progression indicators.

7. Education / Skills

Purpose: Tracks formal education and learning activities.
Columns Included:

• personeducation, Educational Online, BooksAndMusicBooks, BooksAndMusicBooksAudio, ReadingGeneral, ReadingScienceFiction, ReadingMagazines, ReadingAudioBooks, ReadingGrouping

Explanation:
Covers highest education, online learning, and reading/learning interests.

8. Financial / Credit

Purpose: Captures credit and banking behavior.
Columns Included:

• PresenceOfCreditCard, presenceofgoldorplatinumcreditcard, PresenceOfPremiumCreditCard, PresenceOfUpscaleRetailCard, PresenceOfBankCard, GasDeptRetailCardHolder, americanexpresscard, CreditRating, NumberOfLinesOfCredit, Credit_RangeOfNewCredit, various card balances & premium indicators

Explanation:
Tracks type and presence of credit cards, credit scores, number of lines of credit, and premium/financial product engagement.

9. Mortgage / Real Estate

Purpose: Tracks property ownership, home purchase, mortgages, and refinances.
Columns Included:

• homepurchaseprice, homepurchasepricecode, homepurchasedateyear, homepurchasedatemonth, homepurchasedateday, homeyearbuilt, estimatedcurrenthomevaluecode, mortgageamountinthousands, mortgagerate, mortgagelendername, transactiontype, refinanceamountinthousands, deeddateofrefinanceyear … MostRecentMortgageInterestRate, Sewer, Water, LoanToValue

Explanation:
Provides historical and current property ownership, mortgage details, refinance transactions, property value estimates, and utility indicators.

10. Demographics / Ethnicity

Purpose: Tracks ethnicity, language, religion, and related codes.
Columns Included:

• ethniccode, languagecode, ethnicgroup, religioncode, hispaniccountrycode, EthnicConfidenceCode

Explanation:
Used for demographic segmentation, targeting, and cultural profiling.

11. Lifestyle / Interests / Consumer Behavior

Purpose: Captures hobbies, preferences, memberships, and purchasing habits.
Columns Included:

• valuehunter, opportunityseekers, newsandfinancial, automotivebuff, bookreader, MembershipClub, computerowner, cookingenthusiast, do_it_yourselfers, exerciseenthusiast, Gardener, golfenthusiasts, homedecoratingenthusiast, outdoorenthusiast, outdoorsportslover, photography, traveler, pets, cats, dogs … all related to apparel, health, beauty, travel, gaming, electronics, sports, home improvement, and high-end consumer segments.

Explanation:
Comprehensive behavioral and interest profiling for marketing, consumer targeting, and segmentation.

12. Charitable / Community / Political

Purpose: Tracks giving, donations, and political involvement.
Columns Included:

• religiouscontributor, politicalcontributor, health_institutioncontributor, charitable, generalcontributor, donatestoenvironmentalcauses, donatesbymail, veteraninhousehold, COMMUNITY INVOLVEMENT – CAUSES SUPPORTED FINANCIALLY, AnimalWelfareCharitableDonation … PoliticalConservativeCharitableDonation, PoliticalLiberalCharitableDonation, VeteransCharitableDonation, CommunityCharities

Explanation:
Captures philanthropic activity, political donations, community involvement, and social causes engagement.

13. Consumer Media / Entertainment

Purpose: Tracks media consumption, hobbies, and engagement with entertainment products.
Columns Included:

• MusicHomeStereo, MusicPlayer, MusicCollector, MovieCollector, TVCable, GamesVideoGames, GamingCasino, DVDsVideos, ElectronicsComputingAndHomeOffice … TheatrePerformingArts, Arts, Musicalinstruments, CollectiblesGeneral

Explanation:
Identifies media habits, music/movie collectors, gaming interests, and arts/collectibles hobbies.

14. Health / Fitness

Purpose: Tracks health-related interests, fitness activity, diet, and wellness.
Columns Included:

• ExerciseHealthGrouping, ExerciseRunningJogging, ExerciseWalking, ExerciseAerobic, Smoker, DietingWeightLoss, HealthAndBeauty, BeautyCosmetics

Explanation:
Used to segment health-conscious consumers and track wellness behaviors.

15. Travel / Leisure

Purpose: Tracks travel behavior, leisure activity, and lifestyle mobility.
Columns Included:

• TravelGrouping, TRAVEL, TravelDomestic, TravelInternational, TravelCruiseVacations, HomeLiving, DIYLiving, SportyLiving, UpscaleLiving, CulturalArtisticLiving

Explanation:
Captures vacation patterns, leisure lifestyle, and travel propensity.

16. Technology / Electronics

Purpose: Tracks tech ownership and usage behavior.
Columns Included:

• COMPUTERS, ElectronicsComputersGrouping, ElectronicsandComputingTVVideoMovieWatcher, IntendToPurchaseHDTVSatelliteDish, HighEndAppliances, ConsumerElectronics, Telecommunications

Explanation:
Profiles digital adoption, device ownership, and intention to purchase electronics.

17. Sports / Outdoor Activities

Purpose: Tracks sports, outdoor hobbies, and recreational activities.
Columns Included:

• SpectatorSportsAutoMotorcycleRacing, SpectatorSportsTVSports, SpectatorSportsFootball … Tennis, Snowskiing, Motorcycling, Nascar, BoatingSailing, ScubaDiving, SportsandLeisure, Hunting, Fishing, CampingHiking, HuntingShooting

Explanation:
Useful for segmentation by sports, outdoor adventure, and hobby activity.

18. Home & Garden

Purpose: Tracks home ownership lifestyle, DIY, garden, and home improvement behaviors.
Columns Included:

• HomeFurnishingsDecorating, HomeImprovement, IntendtoPurchaseHomeImprovement, HomeLiving, DIYLiving, HousePlants, Crafts, GARDENING, GARDENING2

Explanation:
Used to target consumers with interest in home, garden, and interior improvement.

19. Purchase Behavior / Retail

Purpose: Tracks product categories, purchase intent, and consumer patterns.
Columns Included:

• ApparelWomens, ApparelMens, YoungMensApparel, YoungWomensApparel, ApparelChildrens, FoodWines, CookingGeneral, COOKING – GOURMET, FoodsNatural, GamesBoardGamesPuzzles, TravelGrouping … CreditCardUser, CreditCardNewIssue, BANK CARD – PRESENCE IN HOUSEHOLD, PremiumCard, UpscaleDepartmentStoreCard

Explanation:
Detailed insight into apparel, food, gaming, travel, and credit card behaviors for segmentation.

20. Internal / Miscellaneous / Reference

Purpose: System or internal data used for validation, matching, and enrichment.
Columns Included:

• NumberOfSources, dpv_code, secondaryaddresspresent, RDI, PassProspectorValueHomeValueMortgageFile, NCOA_Effective_date, DONOTCALL, DATE, Xaxis, Yaxis, Zaxis

Explanation:
Internal codes, flags, and metrics used for data hygiene, postal validation, and cross-referencing.

This offering is a comprehensive U.S. consumer & household intelligence database built from multi-source demographic, financial, behavioral, and contact data. It includes full postal addresses, phone numbers, emails, geolocation, credit indicators, lifestyle traits, household composition, purchase behavior, mortgage/real estate attributes, and more across a large population. Use it for targeted marketing, data enrichment, modeling, lead generation, audience segmentation, political/donor prospecting, and analytics.

Data example (scroll right, its 410 columns)