Data catalog

Twelve-digit 2020 Census block group code (state+county+tract+block group) covering the individual's address.

Ranks an individual's likelihood of having purchased health insurance through the Affordable Care Act (ACA) marketplace.

Counts the number of an individual's active credit tradelines.

Indicates whether someone in the household has an interest in donating to active military causes.

Indicates the designation for a secondary address unit, such as Apartment or Suite.

Indicates the presence and gender of adults aged 18-24 in a household.

Indicates the presence and gender of adults aged 25 to 34 in a household.

Indicates the presence and gender of adults aged 35 to 44 in a household.

Indicates the presence and gender of adults aged 45 to 54 in a household.

Indicates the presence and gender of adults aged 55 to 64 in a household.

Indicates the presence and gender of adults aged 65 to 74 in a household.

Counts the number of adults in an individual's household.

Measures an individual's exact age in years, ranging from 0 to 120.

Quintile of individual spending on agent-sold magazine subscriptions across topics such as outdoor hobbies, fashion, investments, DIY, travel, and home and garden.

Indicates how recently an individual subscribed to agent-sold magazines covering outdoor hobbies, fashion, investments, DIY, travel, and home and garden.

Categorizes the property's air conditioning equipment (e.g., central, window unit, evaporative, none).

Likelihood that an individual switches air freshener brands, modeled from household air freshener usage and reported openness to trying new brands.

Likelihood that an individual hosts on Airbnb or VRBO, modeled from household renting history and stated intent to use these sites in the next 12 months.

Likelihood that an individual rents through Airbnb or VRBO, modeled from prior household bookings and stated intent to use either service in the next 12 months.

Likelihood that an individual books flights directly with airlines online or by phone rather than through third-party travel sites.

Likelihood that an individual calls an airline agent for help when booking flights or flight-plus-hotel packages.

Likelihood that an individual uses airline help or live chat features online when booking flights or flight-plus-hotel packages.

Ranks an individual's likelihood to be willing to pay slightly more for an airline coach seat with more leg room at check-in, modeled based on whether any household member takes at least one trip per year and would be willing to pay $25 or more for an airline coach seat with more legroom.

Ranks an individual's likelihood to travel to cruise to Alaska, modeled based on whether the household members have taken an Alaskan cruise, or are likely to take an Alaskan cruise in the next two years.

Ranks an individual's likelihood to switch alcohol beverage brands, modeled based on whether household members usually buy different types of alcohol (wine, beer, hard liquor, hard seltzers, hard ciders and other types of alcoholic beverages), and are very willing to try different types.

Likelihood that an individual uses alcohol delivery services at least once per year, modeled from household alcohol delivery history.

Ranks an individual into five tiers based on a household's relative donation amount to charitable causes supporting well-being and basic needs.

Indicates how recently the household donated to any charitable cause.

Cross-tab of an individual's broad-cause donation spending quintile and most recent donation recency band (0-6 months through 25+ months).

Likelihood that an individual uses alternative energy for home heating or hot water, or plans to adopt alternative energy within the next 12 months.

Ranks an individual's likelihood to have purchased from Amazon without being an Amazon Prime member, modeled based on whether any household member ordered four or more times from Amazon in the last 12 months without having an Amazon Prime membership.

Ranks an individual's likelihood of being an Amazon Prime customer, modeled based on whether the individual is an Amazon Prime member that has purchased on Amazon 6+ times in the last 12 months.

Likelihood that an individual dines on American cuisine four or more times per month, based on household dining behavior.

Indicates whether an individual uses an American Express credit card.

Ranks an individual's likelihood to own an American-made motorcycle.

Likelihood that an individual visits theme, amusement, or water parks, modeled from past-year visits and stated intent to return next season.

Ranks an individual's likelihood to own an Android smartphone, modeled based on whether the person or household members have an LG, Motorola, Samsung, or other Android smartphone brand.

Cross-tab of an individual's spending quintile and recency band for donations to animal- and wildlife-welfare causes.

Ranks the household into five tiers by total donation amount to animal welfare and wildlife causes.

Indicates whether someone in the household has an interest in donating to animal welfare causes.

Ranks an individual's likelihood to donate to animal welfare causes, derived from household giving history.

Recency of an individual's demonstrated interest in animal welfare, drawn from household survey responses about concern for animals and wildlife.

Estimates the annual housing turnover rate in the surrounding postcode - the fraction of distinct addresses with a recorded warranty deed sale during the past year, covering the rolling window 2024-12-01 to 2025-12-01.

Indicates the average annual temperature in degrees Fahrenheit in the surrounding postcode.

Indicates the average annual precipitation in millimeters in the surrounding postcode.

Ranks an individual's likelihood of holding or acquiring a fixed or variable annuity within a two-year window.

Likelihood that an individual uses 11 or more mobile apps daily, based on household app usage.

Likelihood that an individual selects clothing or shoe retailers based on whether they offer recycling, resale, or repurposing return programs.

Ranks an individual's likelihood of using Apple Pay at least monthly for purchases or money transfers.

Likelihood that an individual owns an Apple iPhone, modeled from household smartphone ownership.

Likelihood that an individual purchases a large home appliance in the next 12 months, whether to upgrade an existing one or add a new category.

Appraised dollar value of the parcel's land component, as reported by the county or local assessment authority.

Indicates whether a household contains parents from the Millennial generation with their own children present.

Ranks an individual's likelihood to attend art house movie theaters, modeled based on whether household members watch movies at an art house theater two or more times per year.

Indicates how recently an individual purchased arts and crafts supplies such as scrapbooking, painting, needlecraft, or candle-making materials.

Ranks an individual into five tiers based on their relative spending level on arts and crafts, such as painting, needlecrafts, and other non-decor hobby supplies.

Indicates whether someone in the household has an interest in donating to arts and cultural organizations.

Cross-tab of an individual's arts-and-crafts spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Ranks an individual's likelihood to travel to Asia, modeled based on whether the person or a household member has traveled to an Asian country in the last five years, or is definitely or very likely to in the next five years.

Name of the USPS post office serving the individual's mailing address.

Ranks an individual's likelihood of being an AT&T cell phone customer.

Ranks an individual's likelihood to own an ATV, 3-wheeler, or side-by-side vehicle, modeled based on whether the household has an ATV or side-by-side vehicle.

Indicates an individual's likelihood to have purchased auto insurance through an in-person sales agent within the last two years.

Indicates an individual's likelihood to have purchased auto insurance through a call center, by working with a sales agent over the phone within the last two years.

Counts the number of auto insurance purchasing channels an individual is likely to use, covering agent-sold, call center, and self-serve online channels.

Ranks an individual's likelihood to purchase auto insurance through any channel, including agent-sold policies, call center purchases, and self-serve online purchases.

Ranks an individual's likelihood of enrolling in a telematics-based auto insurance program that rewards good driving behavior with loyalty points.

Indicates an individual's likelihood to have purchased auto insurance online without the help of an agent within the last two years.

Ranks an individual's likelihood to use telematics devices in their vehicle to earn auto insurance premium discounts or loyalty rewards for good driving behavior.

Ranks an individual's likelihood of using a telematics device to earn auto insurance premium discounts.

Ranks an individual's likelihood of taking out an auto loan or vehicle financing within the next 12 months.

Ranks an individual's likelihood to purchase from an auto parts store.

Estimates the modeled home market value in dollars at the address level, computed as a calibrated linear adjustment over the vendor's reported market-value estimate.

Flag for household interest in automotive repair and maintenance work, derived from self-reported and observed hobby behavior.

Modeled likelihood that an individual purchases a self-driving vehicle in the next vehicle-purchase cycle.

Measures the current market value of the individual's home(s) minus any outstanding mortgage balance(s) or lien(s).

Ranks an individual into five tiers based on average spending per 12-month period across all captured purchase channels and categories (excludes mortgages, rent, and loan payments).

Ranks an individual's likelihood to read three or more books per month, modeled based on whether the household read three or more books in a month.

Cross-tab of a household's spending quintile and purchase recency band for gardening supplies (perennials, vegetables, fruits, bulbs, annuals).

Cross-tab of an individual's spending quintile and recency band for agent-sold magazine subscriptions across outdoor, fashion, investing, DIY, travel, and home-and-garden titles.

Ranks an individual's likelihood to subscribe to read three or more magazines per month, modeled based on whether the household read three or more magazines in a month.

Cross-tab of an individual's B2B business-marketing spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Ranks individuals into five tiers based on spending on B2B office and corporate gifts, such as logoed merchandise, client gifts, or corporate spiffs.

Ranks an individual into five tiers based on spending on B2B maintenance, repair, and operations supplies such as janitorial products, replacement parts, and business forms.

Ranks an individual into five tiers based on association with business-to-business marketing purchases.

Cross-tab of an individual's spending quintile and recency band for B2B maintenance, repair, and operations (MRO) purchases.

Cross-tab of an individual's spending quintile and recency band for B2B office supplies and corporate gifting purchases.

Indicates how recently an individual purchased B2B office and corporate gifts, such as logoed merchandise, client gifts, or corporate spiffs.

Cross-tab of an individual's spending quintile and recency band for B2B training and professional publications purchases.

Indicates how recently an individual purchased B2B training materials and publications such as safety training posters and business reference materials.

Ranks an individual into five tiers based on the average dollars spent on the B2B Training and Publications category. These are corporate gifts and spiffs such as corporate logo’d merchandise given to employees but bought by the corporation.

Ranks an individual's likelihood to purchase baby formula, modeled based on whether the household purchase baby formula, or plan to purchase within the next 12 months.

Ranks an individual's likelihood to shop for baby supplies, modeled based on whether the household has bought at least one of baby diapers, baby wipes, baby bottles, baby toys, baby bedding, baby car seat or stroller, baby clothing, other baby products, for the home or as a gift in the last six months.

Flag for household interest in baking, derived from purchase behavior and self-reported hobbies.

Indicates the date a bank-issued card (credit or debit) was most recently issued to an individual.

Ranks an individual's likelihood to frequent bars, clubs, or lounges, modeled based on whether household members purchase food from bars, clubs, or lounges four or more times per month.

Likelihood that an individual prioritizes price when booking hotels, modeled from leisure travel frequency and stated price sensitivity.

Ranks an individual's likelihood to shop on sale or use coupons, modeled based on whether the individual usually put in effort to find and take advantage of the best deals possible and regularly perform numerous activities to get good deals (e.g., look for sale before buying, look online for coupons, line up for store sales, wait for product to go on sale).

Likelihood that an individual watches baseball at least every few weeks, modeled from household viewing habits.

Ranks an individual's donation amount to charities providing basic needs such as food, shelter, clothing, and healthcare relative to other donors.

Indicates how recently an individual has donated to organizations providing food, shelter, clothing, and healthcare for communities locally and abroad.

Cross-tab of an individual's spending quintile and recency band for donations to basic-needs charities (food, shelter, clothing, healthcare) at home and abroad.

Likelihood that an individual watches basketball at least every few weeks, modeled from household viewing habits.

Total count of plumbing fixtures (sinks, toilets, tubs, showers) across all bathrooms in the primary building.

Counts the total number of full and partial bathrooms for the property.

Cross-tab of an individual's beauty-and-spa spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Recency in days since an individual's most recent beauty or spa purchase, drawn from transactional purchase data.

Ranks an individual into five tiers based on the average dollars spent on the beauty and spa category.

Ranks an individual's likelihood to consume beef jerky, modeled based on whether any household members eat beef jerky daily or every few days.

Ranks an individual's likelihood to switch beer brands, modeled based on whether household members usually buy different brands of beer, and are very willing to try different brands of beer.

Flag for household interest in bestselling fiction, derived from book purchase and reading behavior.

Ranks an individual into five tiers based on the average dollars spent on beverages.

Cross-tab of an individual's beverages spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Indicates how recently an individual purchased an item within the Beverages category, which is primarily focused on coffees, teas, and other non-alcoholic beverages rather than alcoholic drinks.

Flag for household interest in big game hunting, derived from outdoor and hobby purchase signals.

Flag for household interest in bird watching and backyard bird feeding, derived from hobby purchase signals.

Indicates whether the first child's birthdate was directly sourced or inferred from related household attributes.

Indicates whether the second child's birthdate was directly sourced or inferred from similar households when direct data was unavailable.

Indicates whether the birthdate of the third child in a household was directly sourced or inferred from other household attributes.

Indicates whether the birthdate of the fourth child was directly sourced or inferred from other household attributes.

Records the birth year and month of an individual's first child.

Indicates the birth year and month of an individual's second child.

Indicates the birth year and month of an individual's third child.

Indicates the birth year and month of an individual's fourth child.

Indicates how the day of birth was sourced (e.g., declared, modeled, or imputed at household level).

Indicates how the month of birth was sourced (e.g., individual-level declaration vs household-level inference).

Ranks an individual's likelihood to shop at BJ's Wholesale, modeled based on whether the household shop at BJ's Wholesale at least monthly.

Ranks an individual's likelihood to own a boat, modeled based on whether the household own a motor boat including a fishing boat or pontoon, sailboat, and/or rowboat.

Flag for household interest in recreational boating or sailing, derived from purchase and hobby data.

Indicates whether someone in the household has an interest in books or magazines. Covers a wide range of topics including cooking, interior decorating, general reading, sports, medical and health, fashion, entertainment, world news, children's books, best-selling fiction, military, country lifestyle, and romance.

Ranks an individual's likelihood to read books, modeled based on whether the household read one or more books in a month.

Cross-tab of an individual's book-purchase spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Recency in days since an individual's most recent book purchase, drawn from transactional category data.

Ranks an individual into five tiers based on the average dollars spent on the Books category.

Vendor identifier for the borough containing the individual's address.

Ranks an individual's likelihood to be brand driven when purchasing home cleaners, modeled based on whether the person considers brand to be important when deciding what home cleaning products to buy.

Ranks an individual's likelihood to choose products based on brand over price, including a preference for purchasing favorite brands and unwillingness to try alternatives or buy based on sales.

Ranks an individual's likelihood to be brand motivated when purchasing laundry products, modeled based on whether the person considers brand to be very important when buying laundry products.

Ranks an individual's likelihood to be brand motivated when purchasing personal care products, modeled based on whether the person considers brand to be very important when buying personal care products.

Ranks an individual's likelihood to prefer branded prescriptions, modeled based on whether any household members use prescription medication regularly or when needed, and usually get brand name prescription medication.

Ranks an individual's likelihood to dine out frequently for breakfast, modeled based on whether household members purchase breakfast from a restaurant (either for dining in, takeout or drive through) 3 or more times per week.

Ranks an individual's likelihood to switch breakfast meat brands, modeled based on whether household members eat bacon or breakfast sausages at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to plan their meal with budget in mind, modeled based on whether the person considers price to be very important when buying food and almost always uses recipes with a low cost per portion.

Counts the total number of buildings on the property parcel.

Likelihood that an individual orders burgers when visiting fast-food restaurants, based on household ordering patterns.

Indicates whether someone in the household has an interest in purchasing burial insurance.

Ranks an individual's likelihood of holding or planning to purchase burial insurance within the next 12 months.

Ranks an individual's likelihood to commute by bus, modeled based on whether the person uses a bus or streetcar on a regular basis to get to work or school or to run errands.

Indicates how recently an individual made a purchase in the B2B Business Marketing category.

Flag for household interest in business travel, derived from travel patterns and survey responses.

Ranks an individual's likelihood to travel for business at least 11 days per year, modeled based on whether any household members travel for business.

Ranks an individual's likelihood of using a buy-now-pay-later installment payment option three or more times in a 12-month period.

Likelihood that an individual uses buy-online-pickup-in-store, modeled from monthly online purchase frequency and reported pickup preference.

Likelihood that an individual returns online purchases in-store rather than by mail, modeled from monthly online purchase volume and reported return behavior.

Ranks an individual's likelihood to bundle cable, internet, and phone services, modeled based on whether the household has cable TV, home internet, home phone, and cellular phone services from the same provider.

Ranks an individual's likelihood to switch cable services, modeled based on whether the household moved and changed cable/satellite providers in the last 12 months or is likely to move and change providers in the next 12 months.

Ranks an individual's likelihood to have premium cable or satellite channel service, modeled based on whether the household accesses movies or shows through paid premium channels five or more times in a typical week.

Ranks an individual's likelihood to subscribe to a cable or pay television service, including traditional cable TV and premium channel packages such as HBO, Showtime, and sports networks.

Ranks an individual's likelihood to use calming apps, modeled based on whether the household members use meditation or mindfulness apps once per month or more often.

Ranks an individual's likelihood to travel to cruise Canada, modeled based on whether the person or a household member has taken, or is likely to take, a Canadian cruise in the next two years.

Flag for household interest in donating to or supporting cancer-related causes, derived from charitable behavior signals.

Likelihood that an individual buys canned soup on a weekly basis, modeled from household purchase frequency.

Likelihood that an individual follows a low-carb diet when dining out, based on self-reported daily eating style.

Flag for household interest in career advancement or professional development coursework, derived from education and purchase signals.

Ranks an individual's likelihood to change careers, modeled based on whether the person currently works full time and has changed careers four or more times during their adult life.

Ranks an individual's likelihood of providing care to a disabled, ill, or elderly person, based on declared household caregiving signals.

Ranks an individual's likelihood to travel to the Caribbean, modeled based on whether any household members traveled to a Caribbean country in the last five years, or definitely or very likely will in the next five years.

The USPS carrier route code (postal delivery routing identifier) associated with the person's household location.

Ranks an individual's likelihood to frequent carry out restaurants three or more times weekly, modeled based on whether household members order food for takeout one or more times per week.

Ranks an individual's likelihood of being a carshare user.

Indicates whether an individual in the household has used cash, check, or money order to make a purchase.

Ranks an individual's likelihood of visiting casual dining restaurants three or more times per week, modeled based on whether household members purchase food (dine-in, take-out, or delivery) from casual food restaurants eight or more times per month.

Flag for household interest in cat ownership, derived from pet product purchases and survey signals.

Ranks households into five tiers based on how much they purchase from catalogs versus other channels like retail and online.

Ranks an individual's likelihood to have catering orders delivered, modeled based on whether the person has ordered catered food online and had it delivered in the last 12 months.

Ranks an individual's likelihood to pick up catering orders, modeled based on whether the person has ordered catered food online 2+ times in the last 12 months and picked it up.

Census Bureau identifier for the Census Designated Place (CDP) containing the individual's address.

Ranks an individual's likelihood to switch to Consumer Cellular, modeled based on whether the household currently uses a provider other than Consumer Cellular and would likely consider switching to Consumer Cellular for mobile phone service.

Twelve-digit Census Bureau block group code (state+county+tract+block group) covering the individual's address.

Eleven-digit Census Bureau tract code (state+county+tract) covering the individual's address.

Ranks an individual's likelihood of holding or planning to open a certificate of deposit within a two-year window.

Ranks an individual's likelihood to purchase a certified pre-owned vehicle.

Ranks an individual's likelihood to purchase brands that partner for donations, modeled based on whether the household members have made donations at least three times in the last 12 months by buying products that donate for every purchase made.

Indicates whether someone in the household has an interest in donating to charitable causes.

Ranks an individual's likelihood of opening a checking account in the next 12 months; modeling incorporates protected-class attributes such as age and gender.

Ranks an individual's likelihood to choose chicken when dining out, modeled based on whether household members purchase food from a fast-food restaurant at least once per month and always or almost always choose chicken.

Indicates the presence of a child aged 0 to 2 in a household.

Indicates the presence and gender of a child aged 11 to 15 in a household.

Indicates the presence and gender of children aged 16 to 17 in a household.

Indicates the presence and gender of children aged 3 to 5 in a household.

Indicates the presence and gender of a child aged 6 to 10 in a household.

Indicates how recently an individual purchased products for children that encourage learning and development.

Ranks individuals into five tiers based on spending by families with young children on products that encourage children's learning and development.

Indicates whether a child is present in a household.

Counts the number of children an individual has, counting up to four. Each child's presence may be specifically stated in records or inferred from household relationship data.

Counts the number of children in a household.

Cross-tab of an individual's children's-products spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Ranks an individual's likelihood to donate to children's causes, modeled from household giving history.

Flag for household interest in children's books, derived from book purchase data and household composition.

Indicates whether any household member has expressed interest in donating to children's causes.

Indicates how recently an individual purchased children's products such as apparel, toys, furniture, games, or educational materials.

Ranks an individual into five tiers based on spending on children's products including apparel, toys, furniture, games, and educational materials.

Ranks an individual's likelihood to be a Chinese dining enthusiast, modeled based on whether the household always or regularly selects Chinese food and purchases it four or more times per month.

Ranks an individual's likelihood to switch chocolate candy brands, modeled based on whether household members eat chocolate or candy at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to purchase Christmas ornaments and collectibles, modeled based on whether the household collect Christmas items or ornaments.

Ranks an individual's likelihood to be a cigar or pipe enthusiast, modeled based on whether the individual or household members smoke cigars or smoking tobacco daily or weekly.

Flag for household interest in cigar smoking, derived from tobacco-related purchase and survey signals.

Name of the city or municipality in the individual's mailing address.

Vendor identifier for the city or municipality containing the individual's address.

Flag for household interest in classical music, derived from music purchase and streaming signals.

Likelihood that an individual chooses restaurants with organic, natural, or health-conscious menus, based on self-reported clean-eating habits.

Ranks an individual's likelihood of switching household cleaning product brands, modeled based on whether the household usually buy different brands and are very willing to try different brands of household cleaning products.

Ranks an individual's likelihood to use Click to Cart programs and have groceries delivered, modeled based on whether the person has shopped for groceries online and had them delivered to their home in the last 12 months.

Ranks an individual's likelihood to use Click to Cart programs and Pick Up orders at grocery stores, modeled based on whether the person has shopped for groceries online and picked them up at the store in the last 12 months.

Likelihood that an individual currently buying Coca-Cola products would switch to a competing soda brand.

Ranks an individual's likelihood to switch coffee brands, modeled based on whether household members drink coffee made at home at least weekly, and usually purchase different brands, and are very willing to try different brands.

Ranks an individual's likelihood to be a coffee enthusiast, modeled based on whether the individual purchases coffee to go or drinks coffee at a coffee shop three or more times per month.

Ranks an individual's likelihood of switching cold cereal brands, modeled based on whether household members eat cold cereal at least every few days, and usually buy different brands, and are very willing to try different brands.

Flag for household interest in collectible dolls, derived from collectibles purchase signals.

Indicates whether someone in the household has an interest in collectible dolls or figurines, based on self-reported, inferred, and observed purchase behavior.

Flag for household interest in collectibles, fine art, or antiques, derived from purchase and hobby signals.

Cross-tab of an individual's collectibles spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Flag for household interest in collectibles generally, derived from category purchase data.

Recency in days since an individual's most recent collectibles purchase, drawn from transactional category data.

Ranks an individual into five tiers based on the average dollars spent on the Collectibles category.

Likelihood that an individual watches college football on TV weekly or more often, based on household viewing habits.

Indicates the date an individual became a college graduate.

Flags individuals identified as having graduated from college within the past 12 months.

Ranks an individual's likelihood of being a college student, based on declared household enrollment signals.

Indicates the combined state plus average local sales tax rate for the surrounding postcode. Same rate applies to every postcode within a state.

Ranks an individual's likelihood of using a community bank for day-to-day banking, mortgages, loans, or other personal financial services.

Indicates how recently an individual has donated to community-focused, national, or local causes.

Cross-tab of an individual's spending quintile and recency band for donations to national causes with local community relevance.

Ranks an individual into five tiers by donation amount to community-focused national and local causes.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 10 to 14 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 15 to 19 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 20 to 24 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 25 to 29 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 30 to 34 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 35 to 39 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 45 to 59 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 5 to 9 minutes. Excludes those who work from home.

Counts the number of workers aged 16 and over in the surrounding postcode whose one-way commute to work is 60 to 89 minutes. Excludes those who work from home.

Likelihood that an individual owns a commuter bicycle, modeled from household bike ownership.

Ranks an individual's likelihood to purchase a compact truck.

Records the name of the company that employs the individual.

Ranks an individual's likelihood to donate to conservative causes, derived from household giving history.

Ranks an individual's likelihood of preferring low-risk, fixed-return investments over more volatile market-based options.

Ranks an individual's likelihood to donate weekly to religious causes and give $1,000 or more annually.

Vendor-assigned quality grade for the building's construction materials and workmanship, from low to luxury.

Ranks an individual's likelihood of regularly using contactless mobile payment apps on a smartphone.

Likelihood that an individual prepares quick meals using pre-made ingredients, frozen vegetables, and short-prep recipes, based on household cooking habits.

Ranks an individual's likelihood to purchase personal care products based on convenience and ease of use, modeled based on whether the person considers convenience to be very important when deciding what personal care products to buy.

Likelihood that an individual prioritizes convenience and ease of use when buying home cleaning products.

Flag for household interest in cookbooks and culinary publications, derived from book purchase signals.

Flag for household interest in cooking, derived from kitchen-related purchases and hobby signals.

Likelihood that an individual's household has dropped cable, satellite, and fiber TV in favor of streaming, antenna, or IPTV services.

Identifies the Core-Based Statistical Area (CBSA) where an individual resides.

Ranks an individual's likelihood to donate through workplace or corporate-partnership channels at least three times per year.

Likelihood that an individual shops at Costco at least monthly, modeled from household shopping behavior.

Ranks an individual's likelihood to switch brands of cough, cold, and flu remedies, modeled based on whether the household ever buy cough, cold or flu remedies, and usually buy different brands and are very willing to try different brands.

Counts the number of independent data sources that have confirmed the household's existence and composition.

Flag for household interest in country lifestyle books and magazines, derived from publication purchase signals.

Likelihood that an individual regularly listens to country music, based on self-reported genre preference.

Flag for household interest in country music, derived from music purchase and streaming signals.

Indicates the FIPS code for the county or political jurisdiction of a given address. The first two digits represent the state code and the last three represent the county code.

Vendor identifier for the county containing the individual's address (see County code for the FIPS form).

Ranks an individual's likelihood to consume craft beer, modeled based on whether household members drink beer at least weekly and regularly choose craft beer.

Likelihood that an individual buys items on Craigslist, modeled from household Craigslist purchase activity in the last 12 months.

Ranks an individual's likelihood to sell items on craigslist, modeled based on whether the household has sold at least one item on Craig's List in the last 12 months.

Ranks an individual's likelihood of applying for a credit card in the next 12 months; modeling incorporates protected-class attributes such as age and gender.

Ranks an individual's likelihood of closing unused credit card accounts or maintaining a zero balance.

Ranks an individual's likelihood of accepting a balance transfer offer to move credit card debt to a new card within a 12-month period.

Counts the number of credit cards held by an individual.

Indicates the date of the most recent change to an individual's credit card count (see Credit card count change direction).

Indicates whether an individual's credit card count most recently increased or decreased (see Credit card count).

Indicates whether the individual made a purchase using a credit card.

Ranks an individual's likelihood of carrying revolving credit card balances rather than paying in full each month.

Indicates whether an individual in the household has made a transaction using a standard or specialty credit card.

Indicates that a member of this household uses any credit card for transactions.

Indicates whether an individual used a credit or debit card for a transaction.

Indicates whether an individual is interested in financial services, such as banking, insurance, or installment loans.

Groups individuals into 12 ranks across 5 tiers (Best, Above average, Average, Below average, Poor); each tier spans 2-3 ranks. Rank 1 (~760 credit score) is best, rank 12 (~590) is lowest. Lower rank = higher score.

Dates when an individual's credit score proxy tier last changed (see Credit score proxy change direction).

Indicates the direction of the most recent change in an individual's credit score proxy tier (see Credit score proxy).

Ranks an individual's likelihood of using a credit union for day-to-day banking, mortgages, loans, or other personal financial services.

Flag for household interest in cruise ship vacations, derived from travel survey and purchase signals.

Indicates an individual's likelihood to take a cruise, from 1 (least likely) to 100 (most likely), based on modeled interest in cruising to destinations such as Alaska and Canada.

Likelihood that an individual owns a cruiser bicycle, modeled from household bike ownership.

Likelihood that an individual takes cruise vacations, modeled from household survey responses on cruise travel interest.

Flag for household interest in cultural arts events such as theater, museums, and galleries.

Ranks an individual's likelihood to attend cultural arts events, modeled based on whether the household members attend museums, art galleries or live theatre two or more times in a typical year.

Cross-tab of an individual's spending quintile and recency band for subscriptions to magazines covering regional culture and history.

Indicates the age range of the household's primary householder.

Indicates whether the head-of-household age was reported as an exact value, an age range, or inferred from similar households.

Estimates the current loan-to-value ratio of the property's primary mortgage, stored as an integer percent (0-199). Example: 80 = 80% LTV.

Ranks an individual's likelihood to purchase a brand new, current model year vehicle.

Flag for household interest in cycling, derived from bicycle and gear purchase signals.

Individual's full date of birth (year, month, and day).

Ranks an individual into five tiers based on spending on home-delivered items such as catalogs, gift baskets, food items, and household supplies.

Modeled likelihood that an individual uses an auto dealership for vehicle service and maintenance.

Ranks an individual's likelihood of regularly using a debit card and valuing debit rewards when selecting a checking account.

Ranks an individual's likelihood to donate large amounts to Democratic efforts, modeled based on whether the person is likely to make a donation of more than $250 to a political party or campaign in a typical year.

Ranks an individual's likelihood to vote for the Democratic Party in the next election.

Ranks an individual's likelihood to purchase cosmetics from department stores, modeled based on whether the household always purchases cosmetics from a department store, either in person or online.

Ranks an individual's likelihood to purchase fragrance from department stores, modeled based on whether the household always purchases fragrances from a department store, either in person or online.

Ranks an individual's likelihood of weighting deposit services such as checking and savings accounts heavily when choosing a bank or credit union.

Indicates the Nielsen Designated Market Area (DMA) code for the individual's location. DMAs are geographic regions defined by shared television and radio broadcast coverage. They help target campaigns by media market. Mapping codes to market names requires Nielsen's copyrighted crosswalk file.

Likelihood that an individual orders cookies when dining out, modeled from household restaurant frequency and dessert ordering patterns.

Likelihood that an individual orders dessert (other than ice cream, shakes, or cookies) when dining out, modeled from household restaurant ordering patterns.

Likelihood that an individual orders ice cream when dining out, modeled from household restaurant frequency and ice cream ordering patterns.

Likelihood that an individual orders lemonade when dining out, modeled from household restaurant frequency and beverage ordering patterns.

Likelihood that an individual chooses salad instead of fries when dining out, modeled from household restaurant ordering patterns.

Likelihood that an individual orders a milkshake when dining out, modeled from household restaurant frequency and beverage ordering patterns.

Likelihood that an individual orders tea when dining out, modeled from household restaurant frequency and beverage ordering patterns.

Ranks an individual's likelihood to dine out frequently for dinner, modeled based on whether household members purchase dinner from a restaurant three or more times per week.

Likelihood that an individual prefers receiving marketing and information through direct mail rather than digital channels.

Ranks an individual's likelihood to purchase cosmetics directly from brands, modeled based on whether the household always or regularly purchases cosmetics online directly from the brand.

Ranks an individual's likelihood to purchase fragrances directly from brands, modeled based on whether the household always or regularly purchases fragrances online directly from the brand.

Ranks an individual's likelihood to attend discount movies, modeled based on whether the person watches movies at a discount movie theater three or more times per year.

Estimates a household's annual income remaining after taxes, shelter, food, clothing, transportation, utilities, and healthcare expenses.

Ranks an individual's likelihood to switch dishwasher detergent brands, modeled based on whether the household usually purchases and is willing to try different dishwasher detergent brands.

Vendor identifier for the Nielsen Designated Market Area containing the individual's address (see Designated marketing area for the DMA code).

Flag for household interest in DIY home improvement projects, derived from tool and supply purchase signals.

Ranks an individual's likelihood to complete their own moderate to large home improvements, modeled based on whether the person would be more likely to do home repair or improvement jobs themselves or hire someone.

Likelihood that an individual orders hot dogs when visiting fast-food restaurants, based on household ordering patterns.

Flag for household interest in dog ownership, derived from pet product purchases and survey signals.

Ranks an individual's likelihood to be a low-dollar donor giving $1-$100 annually to charitable or social causes.

Ranks an individual's likelihood to consume domestic beer, modeled based on whether household members drink beer at least weekly and regularly choose domestic brands.

Flag for household interest in U.S. domestic travel, derived from travel booking and survey signals.

Modeled likelihood that an individual's next vehicle purchase is from a U.S.-headquartered manufacturer.

Ranks an individual's likelihood to donate to cancer-related causes, derived from household giving history.

Ranks an individual's likelihood to use DoorDash, modeled based on whether the household use DoorDash at least every few months.

Structural classification of the primary residence (single-family, duplex, townhouse, apartment, mobile home).

Ranks an individual's likelihood to purchase items off eBay, modeled based on whether the person or a household member has purchased from eBay in the last 12 months.

Ranks an individual's likelihood to be an eBay seller, modeled based on whether any household members sold at least one item on eBay in the last 12 months.

Ranks an individual's likelihood to purchase an economy car.

Ranks an individual's likelihood to purchase an economy sport utility vehicle.

Ranks an individual's likelihood of owning a tax-advantaged Education Savings Plan used for college, K-12, or apprenticeship costs.

Indicates the effective year a building was built, adjusted for major renovations or structural changes.

Ranks an individual's likelihood to be an electric bike enthusiast, modeled based on whether any household members have an electric bicycle or are considering one.

Ranks an individual's likelihood to prefer an electric vehicle over a hybrid vehicle.

Ranks an individual's likelihood to buy an electric vehicle.

Indicates whether someone in the household has an interest in electronics outside of mainstream consumer electronics, such as personal care electronics, medical devices, wearable tech, or specialty kitchen electronics.

Ranks an individual's likelihood to buy elite home furnishings, modeled based on whether the person has shopped for or is very likely to shop for furniture or decor at high-end retailers like Design Within Reach or Restoration Hardware.

Ranks an individual's likelihood of being covered by employer-provided health insurance.

Indicates the date an individual transitioned to an empty nester household.

Flags individuals whose household recently transitioned to having no resident children under 18.

Ranks an individual's likelihood to switch energy drink brands, modeled based on whether the household usually buy different brands and are very willing to try different brands of energy drinks.

Flag for household interest in entertainment-focused books and magazines such as celebrity and pop-culture titles.

Likelihood that an individual regularly reads celebrity and entertainment publications, based on household reading habits.

Ranks an individual's likelihood of being a new entrepreneur, based on household signals of recently started or planned small businesses.

Cross-tab of an individual's spending quintile and recency band for donations to environmental and animal-welfare causes.

Ranks an individual into five tiers based on donation amount to environmental and animal causes.

Indicates how recently an individual donated to the environment and animals, based on the recency of donations in the environmental and animal category.

Indicates how recently an individual donated to national or local environmental causes.

Ranks an individual into five tiers by donation amount to national and local environmental causes.

Ranks an individual's likelihood to donate to environmental causes, derived from household giving history.

Cross-tab of a household's spending quintile and recency band for donations to and activity with national and local environmental causes.

Likelihood that a household practices environmentally aware habits such as buying natural foods, reducing pollution, and considering electric vehicles.

Estimated total square footage of the building's enclosed area.

Estimates an individual's annual income in U.S. dollars.

Ranks an individual's likelihood of buying on Etsy, modeled based on whether the household has made one or more purchases on Etsy in the last 12 months.

Ranks an individual's likelihood to travel to Europe, modeled based on whether the household has traveled to a European country in the last five years or is definitely or very likely to in the next five years.

Ranks an individual's likelihood to be an everyday low price shopper, modeled based on whether the household is more likely to shop at a store that offers everyday low prices, considers lowest everyday prices very important, and goes to one location to get the best prices on most purchases.

Ranks an individual's likelihood to explore new recipes and meal ideas, modeled based on whether the person values the uniqueness of food products and frequently tries new recipes with unique ingredients.

Indicates the primary material and surface treatment of a building's outer walls.

Ranks an individual's likelihood to participate in P90X, CrossFit or other fitness programs, modeled based on whether the person or a household member participates in fitness programs like P90X, Insanity, CrossFit, or Bootcamp classes at least once per week.

Ranks an individual's likelihood to be socially active on Facebook, modeled based on whether the individual participates on Facebook 16 or more times per week and has more than 100 contacts on Facebook.

Indicates whether an individual uses Facebook, Instagram, X (formerly Twitter), or Pinterest.

Flag for household interest in or active use of Facebook, derived from social media engagement signals.

Ranks an individual's likelihood to purchase on Facebook Marketplace, modeled based on whether the household has made one or more purchases on Facebook Marketplace in the last 12 months.

Ranks an individual's likelihood to be a Facebook Marketplace seller, modeled based on whether the household has sold at least one item on Facebook Marketplace in the last 12 months.

Cross-tab of an individual's spending quintile and recency band for donations to faith-driven and medical-research organizations.

Ranks an individual into five tiers based on donation amount to faith-driven and medical research organizations.

Indicates how recently an individual donated to faith-driven and medical research organizations.

Ranks an individual's likelihood to read faith-based books or magazines, modeled based on whether household members read Bible or devotional books or magazines.

Ranks an individual into five tiers based on donation amount to faith-based causes.

Indicates whether someone in the household has an interest in donating to faith-based causes.

Cross-tab of a household's spending quintile and recency band for donations to faith-driven causes.

Ranks an individual's likelihood to have an interest in faith-based media, including reading religious materials, listening to Christian or gospel music, and general faith-based interests.

Ranks an individual's likelihood to listen to spiritual music, modeled based on whether household members enjoy Christian or Gospel music.

Flag for household interest in faith-based music such as Christian or gospel genres.

Indicates how recently an individual donated to faith-based causes.

Flag for household interest in faith-based topics including religious media, donations, and community involvement.

Ranks an individual into five tiers based on the proportion of purchases made during the fall season (September through November).

Counts the total number of family households in the surrounding postcode from ACS 2024 5-year table B11001 (cell 002, total_family_households). A family household is one where the householder is related by birth, marriage, or adoption to at least one other resident.

Classifies a household by the marital status of adults and the presence or absence of children.

Cross-tab of an individual's family learning and development spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Ranks an individual's likelihood to participate in fantasy sports.

Cross-tab of an individual's fashion accessories and beauty spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Recency in days since an individual's most recent fashion accessory or beauty purchase, drawn from transactional category data.

Ranks an individual into five tiers based on the average dollars spent on the fashion accessories and beauty category.

Flag for household interest in fashion-focused books and magazines, derived from publication purchase signals.

Cross-tab of an individual's combined women's and men's apparel spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Recency in days since an individual's most recent apparel purchase across women's and men's categories.

Ranks an individual into five tiers based on spending in the female and male apparel category.

Ranks an individual into five tiers based on spending on name-brand, fashionable, and comfortable women's apparel via catalog.

Cross-tab of an individual's spending quintile and recency band for catalog purchases of name-brand women's apparel skewing mature.

Cross-tab of an individual's spending quintile and recency band for online value-priced women's purchases.

Flag for household interest in collecting figurines, derived from collectibles purchase signals.

Represents the final sale price of the property as listed on the recorded deed.

Ranks an individual's likelihood of currently using a personal financial advisor.

Likelihood that an individual subscribes to a paid financial or health newsletter delivered by mail or online, based on household subscription data.

Ranks an individual's likelihood of prioritizing convenience factors such as branch hours and locations when choosing a financial institution.

Ranks an individual's likelihood of switching financial institutions within the next year.

Ranks an individual's likelihood to dine at fine dining restaurants, modeled based on whether household members purchase food from fine dining restaurants four or more times per month.

Number of distinct fireplace openings (hearths) in the primary building.

Fireplace category (e.g., wood-burning, gas, electric, pellet) for the primary building.

Flag for household interest in recreational fishing, derived from gear purchase and hobby signals.

Likelihood that an individual purchases home fitness equipment, modeled from household equipment ownership and at least $100 in fitness spending in the last year.

Flag for household interest in fitness and exercise, derived from gym, equipment, and apparel purchase signals.

Ranks an individual's likelihood to purchase flavored drinks, modeled based on whether household members drink flavored juices (e.g. Fruitopia, Hawaiian Punch, Kool-Aid, Sunny-D, Tang) daily.

Ranks an individual's likelihood of holding flood insurance on an owned home.

Primary floor framing or substructure material (e.g., wood joist, concrete slab, steel).

Indicates the number of stories for the property.

Ranks an individual's likelihood to purchase fragrances with floral notes, modeled based on whether the household is very likely to purchase floral (e.g., flowery, fruity) types of fragrances.

Ranks an individual's likelihood to use Postmates for food delivery, modeled based on whether the household has ever ordered delivery through Postmates.

Ranks an individual's likelihood to purchase from food trucks, modeled based on whether the person or their household members have purchased food from a food truck in the last 12 months or typically purchase food from a food truck three or more times in a year.

Ranks an individual's likelihood to be a football entertainer, modeled based on whether the household has friends or family over to watch professional or college football on television at least every few weeks and spends $100 or more on food and beverages for a day of games.

Ranks an individual's likelihood to follow football, modeled based on whether household members watch college or pro football on TV weekly or more often.

Ranks an individual's likelihood to use free streaming services.

Ranks an individual's likelihood of making at least 16 debit or ATM card transactions per month.

Likelihood that an individual makes purchases on a mobile phone monthly or more often, based on at least three mobile purchases in the last six months.

Ranks an individual's likelihood to attend movies frequently, modeled based on whether any household members go to a movie theater every two to three weeks or more often.

Ranks an individual's likelihood to access movies online, modeled based on whether the household accesses movies at least three or more times per week via a free streaming service.

Likelihood that an individual frequently buys music online via download or subscription service.

Ranks an individual's likelihood to frequently order takeout food, modeled based on whether the individual orders food for delivery or pick-up at least three times per month and buys versus makes at least half their meals.

Ranks an individual's likelihood to have fresh food delivered, modeled based on whether household members order perishable groceries (e.g., fruit, vegetables, meat, fish) online for home delivery once a month or more frequently.

Likelihood that an individual prefers fresh ingredients over frozen and shops produce by what's in season, based on household cooking habits.

Ranks an individual's likelihood to purchase fragrances with fresh notes, modeled based on whether the household is very likely to purchase fresh (e.g., clean, crisp) types of fragrances.

Likelihood that an individual orders fried chicken sandwiches when visiting fast-food restaurants, based on household ordering patterns.

Likelihood that an individual orders fried fish sandwiches when visiting fast-food restaurants, based on household ordering patterns.

Ranks an individual's likelihood to switch brands of frozen food, modeled based on whether household members use frozen meals (e.g., frozen pizzas, frozen entrees) at least weekly, usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to drink fruit alcoholic beverages, modeled based on whether household members drink fruit flavored alcoholic beverages at least one day a week.

Counts the number of full-size cars in a household.

Ranks an individual's likelihood to purchase a full-size luxury truck.

Ranks an individual's likelihood to purchase a full size sport utility vehicle.

Ranks an individual's likelihood to buy a full-size truck.

Indicates whether an individual uses a furniture store credit card.

Ranks an individual's likelihood of recently starting, or planning to start within 12 months, financial activities such as savings accounts, stock purchases, or other investments.

Whether the garage or carport interior has finished walls and surfaces (finished, unfinished, or none).

Indicates the primary construction material of the property's garage or carport (e.g., brick, frame, masonry, wood, concrete, metal, stone).

Indicates the structural type of the property's garage or carport (e.g., attached, detached, basement, built-in, carport).

Indicates the vehicle capacity of the property's garage or carport, measured in number of cars (1 through 10).

Cross-tab of an individual's garden-and-backyard spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Indicates how recently an individual purchased an item in the garden and backyard category.

Quintile of household spend on garden and backyard products, computed from average dollars spent in the category.

Flags households where at least one member has a reported gardening interest, sourced from self-reported survey data.

Modeled likelihood that a household uses gas exclusively for home heating and water heating.

Records an individual's reported gender.

Indicates the gender of an individual's first child.

Indicates the gender of an individual's second child.

Indicates the gender of an individual's third child.

Indicates the gender of an individual's fourth child.

Flags households with at least one self-reported book reader.

Cross-tab of an individual's general-gifts spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Months since the individual's last observed purchase in the general gifts category.

Quintile of individual total spending on general gifts.

Flags households with a self-reported general travel interest.

Indicates the precision level of the assigned geographic coordinates, from address-level (rooftop) to area-level.

Indicates how recently an individual purchased items across any gift category, covering general gifts, practical and technology-focused gifts, unique personalized gifts for loved ones, B2B office and corporate gifts, specialty foods and gifts, and modern or contemporary decor gifts.

Cross-tab of a household's spending quintile and recency band for practical-gift and consumer-tech purchases.

Ranks individuals into five tiers based on their strongest gift spending signal across gift categories, including general gifts, practical and technology-focused gifts, unique personalized gifts for loved ones, B2B office and corporate gifts, specialty foods and gifts, and modern or contemporary decor gifts.

Ranks an individual's likelihood of working in the gig economy, based on household signals of driving, delivery, or rideshare work.

Modeled likelihood that the individual follows a gluten-free eating style daily or near-daily.

Ranks an individual's likelihood to donate through GoFundMe or other crowdfunding sites within the last 12 months.

Flags households with a self-reported golf interest.

Flags households with a self-reported gourmet food interest.

Ranks an individual's likelihood of being a graduate school student, based on declared household enrollment signals.

Indicates whether any household member has shown declared purchasing interest in grandchildren-oriented products.

Modeled likelihood that the household regularly orders Greek or Middle Eastern food for dine-in, takeout, or delivery.

Modeled likelihood that the individual purchases non-toxic, energy- and water-efficient (“green”) products.

Modeled likelihood that the individual buys a grilled chicken sandwich from a fast-food restaurant at least monthly.

Modeled likelihood that the individual regularly uses three or more grocery-store loyalty or rewards cards.

Modeled likelihood that the household has grocery apps installed and uses them weekly for at least four shopping activities.

Modeled likelihood that household members shop in person at a grocery store every few days or more often.

Modeled likelihood that the household uses Grubhub at least every few months.

Ranks an individual's likelihood to belong to a gym, modeled based on whether the person or household members have an active gym membership.

Modeled likelihood that a household member colors their hair blonde at home every three to four months.

Modeled likelihood that a household member colors their hair brown at home every three to four months.

Ranks an individual's likelihood to regularly color their hair at home, including specific color preferences such as blonde, brown, or red.

Modeled likelihood that a household member colors their hair red at home every three to four months.

Modeled likelihood that a household member drinks hard cider at least every few weeks.

Modeled likelihood that a household member drinks hard lemonade at least every few weeks.

Modeled likelihood that a household member drinks hard seltzer at least one day a week.

Modeled likelihood that a household member drinks hard tea at least every few weeks.

Indicates whether an individual has an auto loan.

Indicates whether an individual is active with banking, credit, or other financial services.

Indicates whether an individual made a club or subscription purchase within the last 24 months.

Indicates the presence of a student loan or other credit used for educational purposes.

Indicates whether an individual has a financial services installment loan.

Indicates whether an individual has a home equity loan. A home equity loan allows borrowing a lump sum against home equity, repaid monthly at a fixed interest rate.

Indicates whether the individual has a home mortgage.

Indicates whether an individual has a Visa, Mastercard, or American Express credit card.

Indicates whether an individual uses a credit card affiliated with a warehouse club (e.g., Costco, Sam's Club).

Indicates whether an individual has refinanced an installment loan.

Indicates whether an individual has a store-branded or specialty credit card, covering categories such as department stores, grocery, travel and entertainment, electronics, sporting goods, furniture, home improvement, apparel, and warehouse clubs.

Indicates whether an individual has used a catalog showroom credit card. A catalog showroom credit card is a type of store-specific credit used at retailers that display goods in a showroom for customers to select from a catalog.

Indicates whether an individual has used a credit card issued by a finance company (non-bank lender that provides credit cards, personal loans, or auto financing).

Indicates if an individual has used an oil or gas credit card for a transaction.

Indicates whether an individual uses credit or leasing services other than auto loans, home mortgages, installment loans, or standard credit cards.

Months since the household's last purchase in the health and wellness category.

Quintile of individual spend on health and wellness products.

Cross-tab of an individual's spending quintile and recency band for donations to medical causes spanning any age or life stage.

Ranks an individual's likelihood of being covered by health insurance obtained through a labor union.

Modeled likelihood that the household weekly purchases cereals marketed as high-protein, vitamin-enriched, or whole-grain.

Ranks an individual's likelihood to follow a healthy diet, modeled based on whether household members are interested in diet and weight loss and buy diet or low-calorie foods weekly or more.

Ranks an individual's likelihood to be a heavy cleaner, modeled based on whether cleaning products are used daily in the home.

Modeled likelihood that the household redeemed 11+ coupons last month and uses coupons at least weekly.

Modeled likelihood that the household nearly always purchases high-fiber foods.

Modeled likelihood that the household nearly always purchases gluten-free foods.

Modeled likelihood that the household nearly always purchases low-fat foods.

Ranks an individual's likelihood to donate $500 or more annually to religious causes.

Ranks an individual's likelihood to donate $500 or more annually to non-religious charitable causes.

Cross-tab of an individual's high-end formal and casual apparel spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Modeled likelihood that the household plans to buy a new mattress costing more than $1,000 in the next 12 months.

Ranks an individual's likelihood to shop in high-end stores, modeled based on whether the person wears brand-name clothing, values trendy styles, or shops at high-end stores.

Indicates how recently an individual purchased high-price men's or women's formal and casualwear.

Ranks an individual into five tiers based on spending on high-price men's and women's formal and casual apparel.

Cross-tab of an individual's spending quintile and recency band for women's apparel and accessories, restricted to purchases where the 12-month average spend is $150 or more.

Ranks an individual into five tiers based on spending on high-price female apparel and accessories.

Indicates how recently an individual purchased high price female apparel or accessories.

Cross-tab of an individual's spending quintile and recency band for home decor, restricted to purchases where the 12-month average spend is $175 or more.

Indicates how recently an individual purchased an item in the High price Home Décor category.

Quintile of individual spend on high-ticket home decor, with the top tiers averaging $175+ over 12 months.

Flags households with a self-reported hobbies-and-crafts interest.

Indicates whether someone in the household has any reported hobby. This is a composite flag covering hobbies (e.g., baking, gardening, photography), sports (e.g., golf, fishing, cycling), travel (e.g., cruise, international, RV), music preferences, mail order activity, media and technology usage, investments and insurance, nutrition, pets, and other interests.

Flags households with a self-reported hobby or collectibles interest.

Indicates how recently an individual purchased items across hobby-related spending categories, including indoor media and collecting (music, magazines, coins, investments) and traditional domestic hobbies (needlework, crafts, baking, puzzles).

Ranks individuals into five tiers based on their average quintile score across hobby-related spending categories, including indoor media and collecting (music, magazines, coins, investments) and traditional domestic hobbies (needlework, crafts, baking, puzzles).

Modeled likelihood that the household watches hockey at least every few weeks.

Months since the individual's last purchase in trend-driven home decor and fashion categories.

Ranks individuals into five tiers based on spending on the latest trends in home decor and fashion.

Indicates an individual's likelihood to buy a house, condo, or apartment in the next 12 months.

Indicates an individual's likelihood to buy a home or obtain a home loan in the next 12 months, covering plans to purchase a house, condo, or apartment as well as plans to obtain a new home mortgage.

Modeled likelihood that the individual has tried 3+ new home-cleaning products in the last 6 months and is an early adopter.

Cross-tab of an individual's home-decor spending quintile and most recent purchase recency band (0-6 months through 25+ months).

Months since the individual's last home-decor purchase.

Ranks an individual into five tiers based on the average amount spent in the home decor category.

Months since the individual's last observed purchase in the daily delivery deal category (food, magazines, books, home decor, apparel).

Cross-tab of an individual's spending quintile and recency band for home-delivered purchases across food, magazines, books, home decor, and apparel.

Modeled likelihood that the individual regularly hosts friends or family at home, including holiday gatherings.

Indicates an individual's likelihood to obtain a home mortgage in the next 12 months.

Modeled likelihood that the household owns at least one aerobic machine and at least one strength-training machine for home use.

Quintile of household spend on home-maintenance and hunting products, among households reporting interest in both categories.

Modeled market value of the property in dollars, blending tax-roll records, assessor data, and demographic-geographic features.

Indicates the date of a change in an individual's home market value (see Home market value change direction).

Direction of the most recent change in the individual's estimated home market value (up or down; see Home market value).

Indicates whether an individual has made a purchase with a credit card at a home or office supply store.

Classifies any home-office or small-office presence at the property address (e.g., none, home office, small office).

Vendor-derived owner/renter flag for the household at the address. Duplicates `home_ownership_status`; consider deprecating one.

Ranks a homeowner's likelihood of relocating within the next 2-4 months.

Owner-versus-renter status for the household at the address (owner, renter, or unknown), not a probability. Near-duplicate of `home_owner_or_renter_derivation`.

Ranks an individual's likelihood to do home remodeling projects, modeled based on whether the household plans any room renovations in the next 12 months.

Months since the household's most recent home-renovation activity, including planning, tool, or supply purchases.

Quintile of household spend on home-renovation supplies, tools, and decor.

Indicates the sale date of a property. The day value (01) is a placeholder; only the year and month are meaningful.

Ranks an individual's likelihood to purchase a home security system, modeled based on whether the household plans to purchase a monitored home security system in the next 12 months.

Ranks an individual's likelihood to frequently shop on the Home Shopping Network, modeled based on whether household members watch the Home Shopping Network (HSN) weekly or more frequently, and made 2 or more purchases in the last 12 months.

Architectural style of the residence (e.g., Colonial, Ranch, Victorian, Cape Cod). Overlaps with `property_architectural_style`; consider deprecating one.

Indicates whether someone in the household has an interest in home study courses.

Modeled likelihood that the individual currently holds a home-warranty plan, used as a proxy for purchase intent over the next 12 months.

Four-digit year of original construction for the primary building on the parcel.

Indicates whether a property owner has qualified for a homeowner or homestead exemption. This is a tax benefit that reduces the taxable value of a primary residence.

Modeled likelihood that the individual belongs to a hotel loyalty program, given recent personal travel and hotel booking activity.

Indicates the highest education level attained by any adult member of the household.

Indicates whether the household education level was directly sourced from a household member or inferred from postcode-level aggregates.

Counts the number of generations living within a household.

Estimates a household's annual income based on modeled narrow-band and broad-band income ranges.

Indicates the date a change in an individual's income occurred (see Household income change direction).

Direction of the most recent change in the individual's household income (up or down; see Household income).

Counts the total number of lifestyles present in a household.

Indicates the mix of married and unmarried adults within a household (e.g., all married, all single, mixed).

Indicates whether the household marital status composition was directly sourced or inferred from similar households.

Identifies the political party affiliation or affiliations within a household.

Counts the number of persons in a household.

Indicates whether the household size was directly sourced from household records or inferred from similar households.

Counts the total number of households in the surrounding postcode. A household includes all people occupying a housing unit as their usual place of residence, whether related (family) or not (nonfamily).

Counts the number of families in the surrounding postcode with own children of the householder under 18, summed across married-couple, male-householder, and female-householder family types.

Estimates the number of housing units per square mile in the immediate area around an individual's address.

Ranks an individual into five tiers based on the average dollar amount of donations made to humanitarian and cultural causes.

Indicates how recently an individual's household has supported humanitarian efforts and veteran causes.

Ranks an individual into five tiers based on a household's relative donation amount to humanitarian and veteran support causes.

Cross-tab of a household's spending quintile and recency band for donations to humanitarian and veteran-support causes.

Cross-tab of an individual's spending quintile and recency band for donations to national and local humanitarian causes within the U.S.

Indicates whether someone in the household has an interest in donating to humanitarian causes.

Flags households with a reported interest in hunting or shooting, covering big-game and general hunting activities.

Ranks an individual's likelihood to purchase a hybrid vehicle.

Modeled likelihood that the individual would request a hybrid work arrangement if offered the choice.

Ranks an individual's likelihood to have purchased an identity theft protection plan, modeled based on whether any household members currently use paid credit monitoring or paid identity theft protection services or paid identity theft insurance.

Modeled likelihood that imported beer is the household's most-consumed beer type.

Ranks an individual's likelihood to buy an import vehicle.

Assessor's market-value estimate of the parcel's improvements (buildings and structures) used for tax purposes. Overlaps with `property_assessed_improvement_value` and `property_improvements_assessed_value`; consider consolidating.

Modeled likelihood that 50% or more of the individual's in-store household purchases are unplanned.

Measures how a household's estimated income compares to the average income for its county, expressed as the percentage above or below the county average. For example, a value of 25 means a household's income is 25% above average.

Indicates the source and methodology used to derive a household's income estimate (e.g., observed records, modeled, geographic average).

Indicates the annual income for a household, modeled without using protected class data (e.g., age, gender).

Indicates the type of information used to assign a household's income range.

Ranks an individual's likelihood to vote based on specific issues rather than party affiliation.

Indicates whether an individual within a household has credit activity.

Estimates an individual's marital status as married or single, using declared records and household-derived signals.

Indicates the quality of an individual's record for direct mail or telephone marketing.

Records an individual's form of address (e.g., Mr, Ms, Dr).

Indicates how recently an individual purchased items for indoor media and collecting categories, including music, radio, magazines, books, TV and movies, coins, antiques, and investments.

Ranks individuals into five tiers based on their spending on indoor media and collecting categories, including music, radio, magazines, books, TV and movies, coins, antiques, and investments.

Cross-tab of an individual's spending quintile and recency band for catalog purchases tied to indoor hobbies (music, reading, movies, collecting).

Ranks an individual's likelihood of changing spending behavior in response to inflation, such as switching to store brands or cutting discretionary purchases.

Modeled likelihood that the individual has self-reported insomnia.

Flags households with a self-reported interest in Instagram.

Modeled likelihood that the household made one or more Instagram purchases in the last 12 months.

Modeled likelihood that the individual uses Instagram 11+ times per week.

Indicates the origination year and month of an individual's installment home equity loan.

Ranks an individual's likelihood of purchasing loan or payment protection insurance alongside a personal or auto loan.

Indicates whether someone in the household has an interest in purchasing insurance.