Data Layout#

Introduction#

Melissa offers the most extensive nationwide assortment of consumer data available, including household, demographic, purchasing, and lifestyle information. Data is for over 247 million U.S. households with more than 300 fields. The database is updated monthly with 1000s of fresh records.

Consumer 1#

Sample File#

Click here to download the sample file.

Layout and Definitions#

Grouping

Column Name

Type

Definition

Address

MelissaAddressKey

bigint

10-digit unique key assigned to each address.

BaseMelissaAddressKey

bigint

Displays the parent Melissa Address Key of an address if it is a part of or within a building. Ex. Apartment

People

TitlePrefixInd

varchar(1)

Title prefix Ex. “Mr.”

FirstName

varchar(30)

First name

MiddleNameInitial

varchar(1)

Middle name initial

LastName

varchar(30)

Last name

FullName

varchar(61)

Full Name

NameSuffix

varchar(20)

Name suffix EX. “Jr.”, “III”

Address

AddressLine

varchar(75)

Address line

Suite

varchar(20)

Suite

City

varchar(28)

City

State

varchar(2)

State

ZIPCode

varchar(5)

ZIP Code

Plus4

varchar(4)

ZIP Code plus 4

DeliveryPoint

varchar(2)

A specific location where mail is delivered to an individual or entity. It is a precise point of delivery for a particular address.

AddressKey

varchar(11)

Address key is a combination of a location’s ZIPCode + Plus4 + DeliveryPoint

ResultCodes

varchar(100)

Melissa result codes

AddressStreetNumber

varchar(10)

Address street number. Ex. ‘6450’

AddressDirectionPrefix

varchar(5)

Address directional prefix. Ex. ‘e’

AddressStreetName

varchar(28)

Street name. Ex. ‘Side’

AddressStreetSuffix

varchar(10)

Suffix of address. Ex. ‘Dr’

AddressDirectionSuffix

varchar(5)

Address directional suffix. Ex. ‘Ne’

AddressSuiteName

varchar(10)

Suite. Ex. ‘Apt’

AddressSuiteNumber

varchar(8)

Address suite number. Ex. ‘Q’

AddressTypeInd

varchar(1)

Address type indicator

AddressType

char(1)

Address type. Ex. P.O.Box or residential address

RBDI

char(1)

Business/residential indication

WalkSequencenumber

varchar(4)

Walk sequence. It is used by mail carriers to mark the mailing sequence of their deliveries.

CarrierRoute

varchar(4)

The carrier route for the location address assigned by the USPS.

FIPSCode

varchar(5)

The FIPSCode indicates the location of the address at both the state and county level.

FIPSMCDCode

varchar(5)

A unique identifier for each Minor Civil Division (MCD) or other county subdivisions in the U.S. MCDs are legal entities that are subdivisions of county or county equivalents other than incorporated places and are established by appropriate state or local governmental authorities and recognized by the Census Bureau as a primary county division.

Geo

PlaceCode

varchar(7)

Place identifier represented as State FIPS (2) + PlaceFIPS (5)

Latitude

decimal(18,6)

The latitude in decimal degrees using the WGS84 datum for the address.

Longitude

decimal(18,6)

The longitude in decimal degrees using the WGS84 datum for the address.

CensusKey

varchar(16)

Census key is a 15 or 16-character key combination of the state FIPS code + county FIPS code + tract number + block number + block suffix. The Census key was created by the US Government to correctly identify, classify, and pull statistical data from areas across the United States.

CBSACode

varchar(5)

Core based statistical areas (CBSAs) may be either metropolitan statistical areas or micropolitan statistical areas.

People1Demographic

OccupationCode1

varchar(1)

Indicates the occupation of the 1st individual in the household.

GenderCode

varchar(1)

Gender

ContactAgeGroup

varchar(2)

Contact age group

BirthYear1

varchar(4)

Indicates the year of the date of birth from the 1st individual in the household.

BirthMonth1

varchar(2)

Indicates the month of the date of birth from the 1st individual in the household.

BirthDay1

varchar(2)

Indicates the day of the date of birth from the 1st individual in the household.

Gender1

varchar(1)

Indicates the gender of the 1st ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

PoliticalPartyCode1

varchar(1)

Indicates the political party of the 1st individual for voting purposes.

EducationCode1

varchar(1)

Indicates the highest known education of the 1st ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

Phone

PhoneNumber

varchar(10)

Phone number

PhonePresenceInd

varchar(1)

Phone presence indicator

Email

Email

varchar(450)

Email

EmailResultLevel

int

EmailResultLevel

eMailAppendAvailableInd

varchar(1)

Email append available indicator

Household

AgeLessthan1Ind

varchar(1)

Indicates the presence of children less than age 1 in the household.

Age1Ind

varchar(1)

Indicates the presence of children age 1 in the household.

Age2Ind

varchar(1)

Indicates the presence of children age 2 in the household.

Age3Ind

varchar(1)

Indicates the presence of children age 3 in the household.

Age4Ind

varchar(1)

Indicates the presence of children age 4 in the household.

Age5Ind

varchar(1)

Indicates the presence of children age 5 in the household.

Age6Ind

varchar(1)

Indicates the presence of children age 6 in the household.

Age7Ind

varchar(1)

Indicates the presence of children age 7 in the household.

Age8Ind

varchar(1)

Indicates the presence of children age 8 in the household.

Age9Ind

varchar(1)

Indicates the presence of children age 9 in the household.

Age10Ind

varchar(1)

Indicates the presence of children age 10 in the household.

Age11Ind

varchar(1)

Indicates the presence of children age 11 in the household.

Age12Ind

varchar(1)

Indicates the presence of children age 12 in the household.

Age13Ind

varchar(1)

Indicates the presence of children age 13 in the household.

Age14Ind

varchar(1)

Indicates the presence of children age 14 in the household.

Age15Ind

varchar(1)

Indicates the presence of children age 15 in the household.

Age16Ind

varchar(1)

Indicates the presence of children age 16 in the household.

Age17Ind

varchar(1)

Indicates the presence of children age 17 in the household.

Age18Ind

varchar(1)

Indicates the presence of children age 18 in the household.

SupportsChildrensInd

varchar(1)

Indicates that the household financially supports children’s causes.

NumberOfChildrenCode

varchar(1)

Indicates the known number of children in the household.

PresenceOfChildrenInd

varchar(1)

Indicates the presence of children in the household.

NumberOfAdultsCode

varchar(1)

Indicates the known number of adults (18+) living in the household.

HouseholdSizeCode

varchar(1)

Indicates the known number of known people in the household, both adults and children. Household size is a sum of number of adults and number of children, with the exception of a small percentage of household size (0.04%) that will not sum to number of adults + number of children.

EstimatedHomeMarketValueCode

varchar(1)

Indicates the estimated market value of the home, in ranges. This home market value element is built with multiple sources of household level source data (91%) and with multiple sources of geographical data (9%).

HomeOwnerRenterCode

varchar(1)

Indicates whether a household is owner or renter occupied.

IncomeEstimatedHousehold

varchar(1)

Indicates the estimated household income in higher ranges

HouseholdAgeCode

varchar(1)

Internal data will replace when data is found and explained

Age0to2MaleInd

varchar(1)

Indicates the presence of male children age 0 to 2 in the household.

Age0to2FemaleInd

varchar(1)

Indicates the presence of female children age 0 to 2 in the household.

Age0to2UnknownGenderInd

varchar(1)

Indicates the presence of children of unknown gender(s) age 0 to 2 in the household.

Age3to5MaleInd

varchar(1)

Indicates the presence of male children age 3 to 5 in the household.

Age3to5FemaleInd

varchar(1)

Indicates the presence of female children age 3 to 5 in the household.

Age3to5UnknownGenderInd

varchar(1)

Indicates the presence of children of unknown gender(s) age 3 to 5 in the household.

Age6to10MaleInd

varchar(1)

Indicates the presence of male children age 6 to 10 in the household.

Age6to10FemaleInd

varchar(1)

Indicates the presence of female children age 6 to 10 in the household.

Age6to10UnknownGenderInd

varchar(1)

Indicates the presence of children of unknown gender(s) age 6 to 10 in the household.

Age11to15MaleInd

varchar(1)

Indicates the presence of male children age 11 to 15 in the household.

Age11to15FemaleInd

varchar(1)

Indicates the presence of female children age 11 to 15 in the household.

Age11to15UnknownGenderInd

varchar(1)

Indicates the presence of children of unknown gender(s) age 11 to 15 in the household.

Age16to17MaleInd

varchar(1)

Indicates the presence of male children age 16 to 17 in the household.

Age16to17FemaleInd

varchar(1)

Indicates the presence of female children age 16 to 17 in the household.

Age16to17UnknownGenderInd

varchar(1)

Indicates the presence of children of unknown gender(s) age 16 to 17 in the household.

Age18to24MaleInd

varchar(1)

Indicates the presence of males aged 18 to 24 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age18to24FemaleInd

varchar(1)

Indicates the presence of females aged 18 to 24 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age18to24UnknownGenderInd

varchar(1)

Indicates the presence of people with an unknown gender aged 18 to 24 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age25to34MaleInd

varchar(1)

Indicates the presence of males aged 25 to 34 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age25to34FemaleInd

varchar(1)

Indicates the presence of females aged 25 to 34 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age25to34UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 25 to 34 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age35to44MaleInd

varchar(1)

Indicates the presence of males aged 35 to 44 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age35to44FemaleInd

varchar(1)

Indicates the presence of females aged 35 to 44 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age35to44UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 35 to 44 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age45to54MaleInd

varchar(1)

Indicates the presence of males aged 45 to 54 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age45to54FemaleInd

varchar(1)

Indicates the presence of females aged 45 to 54 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age45to54UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 45 to 54 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age55to64MaleInd

varchar(1)

Indicates the presence of males aged 55 to 64 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age55to64FemaleInd

varchar(1)

Indicates the presence of females aged 55 to 64 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age55to64UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 55 to 64 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age65to74MaleInd

varchar(1)

Indicates the presence of males aged 65 to 74 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age65to74FemaleInd

varchar(1)

Indicates the presence of females aged 65 to 74 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age65to74UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 65 to 74 in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age75MaleInd

varchar(1)

Indicates the presence of males aged 75 plus in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age75FemaleInd

varchar(1)

Indicates the presence of females aged 75 plus in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

Age75UnknownGenderInd

varchar(1)

Indicates the presence of people of unknown gender aged 75 plus in the household. See also 7600 adult age ranges 100%, which uses models and ZIP Code 9 and ZIP Code data to extend the coverage up to 100%.

YoungAdultinHouseholdInd

varchar(1)

Indicates that there is a young adult in the household where another adult is identified as the 1st individual. (Young adult is ages 18 to 25.)

GenerationsInHouseholdCount

varchar(1)

Indicates the number of family generations in a household.

SeniorAdultInHouseholdInd

varchar(1)

If in the household there is a person over age 55 and a person over age 25, and there is at least 18 years difference between them, then turn on ‘senior in household’.

HomeLengthofResidenceCode

varchar(2)

Indicates the years a household has lived at their address. The length of residence can apply to renters as well as homeowners.

CensusMedianHomeValue

varchar(5)

The median home value of specified owner-occupied housing units (in hundreds of us dollars).

CensusMedianHouseholdIncome

varchar(5)

Census median household income

Property

DwellingTypeCode

varchar(1)

Indicates if more than one family lives at a particular address.

AdvantageDwellingTypeInd

varchar(1)

Internal Data Will replace when data is found and explained

HomeYearBuiltCode

varchar(1)

Indicates the year the home was built in ranges.

HomePropertyTypeCode

varchar(1)

Indicates the type of property.

HomePurchaseDate

varchar(6)

Indicates both the year and month of purchase where available.

NewToBuildIndicator

varchar(1)

New to build indicator

HomeLotSquareFootageRangesCode

varchar(1)

Indicates the size of the home lot in ranged square footage.

HomePurchaseAmountRangesCode

varchar(1)

Indicates the purchase amount of the home in ranges.

HomePropertyTypeDetailCode

varchar(1)

Indicates the specific kind of home.

HomeLTVEstimatedRangesCode

varchar(1)

Loan-to-value (LTV) ratio expresses the amount of total loans (current and historical) as a percentage of home market value.

HomeLTVEstimatedActualCode

varchar(3)

Loan-to-value (LTV) ratio expresses the amount of total loans (current and historical) as a percentage of home market value.

MISC

MailOrderDonorInd

varchar(1)

The Household has made a donation via mail in the last 24 months.

LotCarrierlineOfTravelCode

varchar(5)

Lot carrier line of travel code

FileDate

varchar(6)

File date

CompanyId

varchar(5)

ID of company

IndividualId

varchar(5)

Id of an Individual

ConfidenceUseCode

varchar(1)

Confidence use code

SupportsCharitableInd

varchar(1)

Indicates that the household financially supports charitable causes.

SupportsAnimalWelfareInd

varchar(1)

Indicates that the household financially supports animal welfare causes.

SupportsArtsOrCulturalInd

varchar(1)

Indicates that the household financially supports arts or cultural causes.

SupportsEnvironmentOrWildlifeInd

varchar(1)

Indicates that the household financially supports environment or wildlife causes.

SupportsHealthInd

varchar(1)

Indicates that the household financially supports health-related causes.

SupportsInternationalAidInd

varchar(1)

Indicates that the household financially supports international aid-related causes.

SupportsPoliticalInd

varchar(1)

Indicates that the household financially supports political causes.

SupportsPoliticalConservativeInd

varchar(1)

Indicates that the household financially supports conservative political causes.

SupportsPoliticalLiberalInd

varchar(1)

Indicates that the household financially supports liberal political causes.

SupportsReligiousInd

varchar(1)

Indicates that the household financially supports religious causes.

SupportsVeteransInd

varchar(1)

Indicates that the household financially supports veteran-related causes.

AfricanAmericanProfessionals

varchar(1)

African American professionals

BusinessOwnerCode

varchar(1)

Indicates the type of business owned by someone in the household.

SingleParentInd

varchar(1)

Indicates that a single parent exists in the household.

VeteranInd

varchar(1)

Indicates that a veteran exists in the household.

OccupationDetailInputIndividualCode

varchar(4)

Indicates the detailed occupation of the input individual’s name appearing on the customer’s file. The values are the aggregate of the “overall”. Data inconsistency may be seen between this element and the other occupation elements due to differing sources.

InferredHouseholdRankCode

varchar(1)

Indicates the inferred household rank of the individual.

VehicleNewUsedInd1

varchar(1)

Indicates whether the first car is used or new.

VehicleNewUsedInd2

varchar(1)

Indicates whether the second car is used or new.

GreenLivingInd

varchar(1)

Green Living represents households that are living environmentally friendly.

AgeinTwoYearIncrInputIndReseller

varchar(2)

Indicates the age of the person ranked 1st in the household, based on a series of InfoBase ranking rules.

SmallOfficeHouseholdInd

varchar(1)

Indicates there is a small office located in the household.

TruckOwnerInd

varchar(1)

Someone in the household has indicated that they own a truck. This does not include SUVs.

InvestmentPropertiesOwnedEstimated

varchar(3)

Indicates the estimated number of housing investment properties owned by the Household.

NetWorthCode

varchar(1)

Networth of the Individual.

WorkingWomanInd

varchar(1)

Indicates that a working woman is present in the household. There is a female in household with an occupation status not equal to Homemaker or retired. The absence of a positive indicator in this field does NOT indicate there is not a working woman in the household, only that the information was not available.

BankCardHolderInd

varchar(1)

Indicates possession of VISA or Mastercard bankcard(s) in a household.

GasDepartmentRetailCardHolderInd

varchar(1)

Indicates possession of gas, department store, or retail store credit card(s) in a household. A department store card is like JCPenney, Sears, or Montgomery Ward. A retail card is like Home Depot, Victoria Secret, or Best Buy.

TravelAndEntCardHolderInd

varchar(1)

Indicates possession of travel and entertainment credit card(s) in a household. Travel and entertainment cards are generally used to pay for hotel, airline, and other business related expenses.

CreditCardHolderUnknownTypeInd

varchar(1)

Indicates possession of credit card(s) of unknown type in a household.

PremiumCardHolderInd

varchar(1)

Indicates possession of premium credit card(s) in a household. Premium credit cards would be Gold or Platinum level.

UpscaleDeptStoreCardHolderInd

varchar(1)

Indicates possession of upscale department store credit card(s) in a household. Upscale department store credit cards would be high-end stores like Nordstrom or Neiman Marcus.

OccupationInputIndividualCode

varchar(1)

Indicates the occupation of the input individual’s name appearing on the customer’s file.

InfoBasePositiveMatchInd

varchar(1)

InfoBase positive match indicator

OverallMatchInd

varchar(1)

Overall match indicator

OwnerRenterCode

varchar(1)

Indicates whether a household is owner or renter occupied.

CatOwnerInd

varchar(1)

Someone in the household has an interest in owning a cat or actually owns a cat.

DogOwnerInd

varchar(1)

Someone in the household has an interest in owning a dog or actually owns a dog.

OtherPetOnwerInd

varchar(1)

Someone in the household has an interest in owning a pet other than a dog or cat, or they actually own an other pet. (i.e. hamster, rabbit, bird, fish, etc.)

MaritalStatus

varchar(1)

Indicates whether anyone in the household is married.

MailOrderResponderInd

varchar(1)

Household has responded to a piece of collateral via mail in the last 24 months.

SupportsOtherInd

varchar(1)

Indicates that the household financially supports other community causes.

CongressionalDistrictCode

varchar(2)

Identifies the 435 geographic areas within the United States served by a member of the U.S. House of Representatives. CDs are typically built from Census blocks. Use with State FIPS code for unique identifier.

MotorcycleOwnerInd

varchar(1)

Someone in the household has indicated that they own a motorcycle.

RecreationalVehicleInd

varchar(1)

Someone in the household has indicated that they own a recreational vehicle (RV).

PoliticalPartyInputIndividualCode

varchar(1)

Indicates the political party associated with the person for voting purposes.

BaseRecordVerificationDate

varchar(5)

Indicates when the last name was most recently verified at that address. (Year and quarter)

NumberofSources

varchar(2)

Number of sources

VehicleNewCarBuyer

varchar(1)

Indicates a history of new car buying in the household. This data cannot personally identify an individual’s vehicle.

VehicleKnownOwnedNumber

varchar(1)

Indicates the total number of vehicles owned in the household.

VehicleDominantLifestyleCode

varchar(1)

Determines the style of the car: sports, luxury, etc.

CreditCardUserInd

varchar(1)

Indicates households that have indicated credit card ownership.

CRAIncomeClassificationCode

varchar(1)

Community reinvestment act CRA income classification code

EducationInputIndividualCount

varchar(1)

Indicates the highest known education of the person.

CollegeGraduateInd

varchar(1)

Indicates whether the person is a college graduate or not.

PrecisionLevelCode

varchar(1)

Indicates the precision of the data appended: Household, Household Inferred, ZIP Code +4 or ZIP Code

WirelessProductBuyerInd

varchar(1)

Indicates if anyone in the household purchases wireless products.

FashionInd

varchar(1)

Someone in the household has an interest in fashion. They are interested in the latest styles and trends of the fashion world.

HistoyMilitaryInd

varchar(1)

Someone in the household has an interest in history / military.

CelebritiesInd

varchar(1)

Someone in the household has an interest in Celebrities and their lives.

CurrentAffairsPoliticsInd

varchar(1)

Someone in the household has an interest in current affairs / politics.

TheaterPerformingArtsInd

varchar(1)

Someone in the household has an interest in the theater / performing arts.

CommunityCharitiesInd

varchar(1)

Someone in the household has an interest in their community and/or charitable organizations.

ReligiousInspirationalInd

varchar(1)

Someone in the household has an interest in religion / inspirational.

ScienceSpaceInd

varchar(1)

Someone in the household has an interest in science / space.

StrangeandUnusualInd

varchar(1)

Someone in the household has an interest in the strange and unusual. This element refers to interest in the odd, abnormal, weird, supernatural, paranormal, etc.

CareerImprovementInd

varchar(1)

Someone in the household has an interest in Career Improvement.

ArtsInd

varchar(1)

Someone in the household has an interest in fine arts, such as painting, sculpting, filming, architecture, literature, or textiles.

ReadingGeneralInd

varchar(1)

Someone in the household has a general interest in reading.

ReadingBestSellersInd

varchar(1)

Someone in the household has an interest in reading best sellers.

ReadingReligiousInspirationalInd

varchar(1)

Someone in the household has an interest in reading religious / inspirational items.

ReadingScienceFictionInd

varchar(1)

Someone in the household has an interest in reading science fiction.

ReadingMagazinesInd

varchar(1)

Someone in the household has an interest in reading magazines.

ReadingAudioBooksInd

varchar(1)

Someone in the household has an interest in listening to audio books.

CookingGeneralInd

varchar(1)

Someone in the household has a general interest in cooking.

CookingGourmetInd

varchar(1)

Someone in the household has an interest in gourmet cooking.

CookingLowFatInd

varchar(1)

Someone in the household has an interest in low fat cooking.

FoodsVegetarianInd

varchar(1)

Someone in the household has an interest in vegetarian food.

FoodsNaturalInd

varchar(1)

Someone in the household has an interest in natural or organic foods.

TravelDomesticInd

varchar(1)

Someone in the household has an interest in domestic traveling.

TravelInternationalInd

varchar(1)

Someone in the household has an interest in Travel International

RecreationalVehiclesInd

varchar(1)

Someone in the household has an interest in recreational vehicles.

TravelFamilyVacationsInd

varchar(1)

Someone in the household has an interest in taking family vacations.

TravelCruiseVacationsInd

varchar(1)

Someone in the household has an interest in taking cruise vacations.

ExerciseRunningJoggingInd

varchar(1)

Someone in the household has an interest in running/jogging for exercise.

ExerciseWalkingInd

varchar(1)

Someone in the household has an interest in walking for exercise.

ExerciseAerobicInd

varchar(1)

Someone in the household has an interest in aerobic exercise.

CraftsInd

varchar(1)

Someone in the household has an interest in crafts.

PhotographyInd

varchar(1)

Someone in the household has an interest in photography.

AviationInd

varchar(1)

Someone in the household has an interest in Aviation.

AutoWorkInd

varchar(1)

Someone in the household has an interest in working on vehicles and mechanics.

SewingKnittingNeedleworkInd

varchar(1)

Someone in the household has an interest in sewing / knitting / needlework.

WoodWorkingInd

varchar(1)

Someone in the household has an interest in woodworking.

GamesBoardGamesPuzzlesInd

varchar(1)

Someone in the household has an interest in board games / puzzles.

MusicHomeStereoInd

varchar(1)

Someone in the household has indicated they have an interest in home stereos.

MusicPlayerInd

varchar(1)

Someone in the household has indicated they have an interest in music players. (i.e. iPod, MP3, etc.)

MusicCollectorInd

varchar(1)

Someone in the household has indicated they have an interest in collecting music.

MusicAvidListenerInd

varchar(1)

Someone in the household has indicated they have an interest in music and they are an avid music listener.

MovieCollectorInd

varchar(1)

Someone in the household has indicated they are interested in collecting movies.

TVCableInd

varchar(1)

Someone in the household has an interest in watching on TV Cable

GamesVideoGamesInd

varchar(1)

Someone in the household has an interest in video games.

MoviesatHomeInd

varchar(1)

Someone in the household has indicated they are interested in watching movies at home. These households have a DVD player or a VCR and they also enjoy home video recording.

TVSatelliteDishInd

varchar(1)

Someone in the household has an interest in watching TV on Satellite Dish

DietingWeightLossInd

varchar(1)

Someone in the household has an interest in dieting / weight loss.

SelfImprovementInd

varchar(1)

Someone in the household has an interest in self improvement.

HousePlantsInd

varchar(1)

Someone in the household has an interest in house plants.

ParentingInd

varchar(1)

Someone in the household has an interest in parenting.

ChildrensInterestsInd

varchar(1)

Denotes someone in household has purchased children’s items (clothes, books, toys, etc.) showing they have an interest in children.

GrandChildrenInd

varchar(1)

Someone in the household has an interest in grandchildren.

SpectatorSportsRacingInd

varchar(1)

Someone in the household has an interest in watching auto / motorcycle racing.

SpectatorSportsFootballInd

varchar(1)

Someone in the household has an interest in watching football.

SpectatorSportsBaseballInd

varchar(1)

Someone in the household has an interest in watching baseball.

SpectatorSportsBastketballInd

varchar(1)

Someone in the household has an interest in watching basketball.

SpectatorSportsHockeyInd

varchar(1)

Someone in the household has an interest in watching hockey.

SpectatorSportsSoccerInd

varchar(1)

Someone in the household has an interest in watching soccer.

SpectatorSportsTennisInd

varchar(1)

Someone in the household has an interest in watching tennis.

CollectiblesGeneralInd

varchar(1)

Someone in the household has a general interest in collecting.

CollectiblesStampsInd

varchar(1)

Someone in the household has an interest in collecting Stamps.

CollectiblesCoinsInd

varchar(1)

Someone in the household has an interest in collecting Coins.

CollectiblesArtsInd

varchar(1)

Someone in the household has an interest in collecting Arts.

CollectiblesAntiquesInd

varchar(1)

Someone in the household has an interest in collecting Antiques.

InvestmentsPersonalInd

varchar(1)

Someone in the household has indicated they are interested in personal investments. A personal investment is money that is invested by a person, rather than by a company or organization.

InvestmentsRealEstateInd

varchar(1)

Someone in the household has indicated they are interested in real estate investments, or their county information indicated the property was an investment property.

InvestmentsStocksBondsInd

varchar(1)

Someone in the household has indicated they are interested in stocks and bonds investments.

ComputersInd

varchar(1)

Someone in the household has an interest in computers.

InternetOnlineServiceUserInd

varchar(1)

Someone in the household has an interest in Internet service provider information.

ModemOwnerInd

varchar(1)

Someone in the household has an interest in owning or buying a modem.

GamesComputerGamesInd

varchar(1)

Someone in the household has an interest in computer games.

WirelessCellularPhoneOwnerInd

varchar(1)

Someone in the household has an interest in owning or buying a wireless cellular phone.

ConsumerElectronicsInd

varchar(1)

Someone in the household has an interest in consumer electronics.

FishingInd

varchar(1)

Someone in the household has an interest in fishing.

CampingHikingInd

varchar(1)

Someone in the household has an interest in camping / hiking.

HuntingShootingInd

varchar(1)

Someone in the household has an interest in hunting / shooting.

BoatingSailingInd

varchar(1)

Someone in the household has an interest in boating / sailing.

WaterSportsInd

varchar(1)

Someone in the household has an interest in water sports.

ScubaDivingInd

varchar(1)

Someone in the household has an interest in scuba diving.

BikingMountainBikingInd

varchar(1)

Someone in the household has an interest in biking / mountain biking.

EnvironmentalIssuesInd

varchar(1)

Someone in the household has an interest in environmental or wildlife issues. The household either contributes to Environmental causes or has expressed interest in them through magazine subscriptions and/or mail response.

TennisInd

varchar(1)

Someone in the household has an interest in playing tennis.

GolfInd

varchar(1)

Someone in the household has an interest in playing golf.

SnowSkiingInd

varchar(1)

Someone in the household has an interest in snow skiing.

MotorcyclingInd

varchar(1)

Someone in the household has an interest in riding motorcycles.

EquestrianInd

varchar(1)

Someone in the household has an interest in riding horses.

HomeFurnishingsDecoratingInd

varchar(1)

Someone in the household has an interest in home furnishings / decorating. Data falls off after 5 years if not updated by a source.

HomeImprovementInd

varchar(1)

Someone in the household has an interest in home improvement. Data falls off after 5 years if not updated by a source.

GardeningInd

varchar(1)

Someone in the household has purchased garden/landscape products (trees, shrubs, flowers, gardening equipment, books, etc.). Indicates an interest in gardening.

SweepstakesContestsInd

varchar(1)

Someone in the household has an interest in entering sweepstakes / contests.

SportsGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the sport group where they live a sporty lifestyle.

OutdoorsGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Outdoors group where they like to be outdoors.

TravelGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Travel group where they like to travel.

ReadingGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Reading group where they like to read.

CookFoodGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Cook Food group where they like to cook.

ExerciseHealthGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Exercise Health group where they like to exercise and be healthy.

MovieMusicGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Movie Music group where they like to watch movies and listen to music.

ElectronicsComputersGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the electronics computers group where they like to discuss topics relating to computers.

HomeImprovementGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Home Improvement group where they like to discuss topics relating to improving their homes and/or engaging in home improvement projects.

InvestingFinanceGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Investing Finance group where they like to discuss topics relating to investments or finance.

CollectiblesAndAntiquesGroupInd

varchar(1)

Indicates that this individual, according to the vendor, fully meets the requirements to belong in the Collectibles and Antiques group where they like to collect items and antiques.

BoatOwnerInd

varchar(1)

Someone in the household has an interest in owning or buying a boat.

CareerInd

varchar(1)

These are Career Minded people who focus on career and look for opportunities to move higher in their company with a goal to have executive status.

ChristianFamiliesInd

varchar(1)

Someone in the household has an interest in Christian Families.

CollectiblesSportsMemorabiliaInd

varchar(1)

Sports Memorabilia Collectors - file represents consumers who have chosen to receive specific information on their sports memorabilia collecting interests.

EducationOnlineInd

varchar(1)

Someone in the household has an interest in online education/distance learning.

TVHDTVSatelliteDishInd

varchar(1)

Someone in the household has an interest in watching HDTV on Satellite Dish

InvestmentsForeignInd

varchar(1)

Someone in the household has an interest in foreign investments.

NASCARInd

varchar(1)

Someone in the household indicated they are interested in NASCAR (racing or novelty items).

FinancialNewsletterSubscribersInd

varchar(1)

Household indicated they subscribe to a financial newsletter. Our sources contribute both online and offline newsletter subscribers.

BeautyCosmeticsInd

varchar(1)

Someone in the household has an interest in Beauty and Cosmetics.

HomeImprovementDIYInd

varchar(1)

These people show a high interest in doing-it-themselves for home improvements. Rather than hire someone to do the job, they will do it.

MoneySeekersInd

varchar(1)

Internal ‘money seeker’ source data, along with some investment elements must be populated for this element to be populated.

OurNationsHeritageInd

varchar(1)

Someone in the household has an interest in our nation’s heritage.

SpectatorSportsTVSportsInd

varchar(1)

Someone in the household has an interest in watching sports.

HomeVideoRecordingInd

varchar(1)

Someone in the household has an interest in Home Video Recording.

CollectorAvidInd

varchar(1)

These people show a high interest in the world of collectibles.

HomeLivingInd

varchar(1)

These people show a high interest in their homes.

DoingItYourselflivingInd

varchar(1)

These people show a high interest in doing-it-themselves.

SportyLivingInd

varchar(1)

These people show a high interest in engaging in many sports or watching them.

UpscaleLivingInd

varchar(1)

These people show a high interest in fine things such as art, homes, locations, etc.

CulturalArtisticLivingInd

varchar(1)

These people show a high interest in culture and its customs.

HighbrowInd

varchar(1)

These people show a high interest in being charitable.

HighTechLivingInd

varchar(1)

These people show a high interest in owning advanced/high tech electronics.

PowerBoatingInd

varchar(1)

Someone in the household has an interest in power boating.

CommonLivingInd

varchar(1)

These people show a high interest in being involved with the public events. Such as joining sweepstakes.

ProfessionalLivingInd

varchar(1)

These people show an interest in self-improvement through their careers.

BroaderLivingInd

varchar(1)

These people show an interest in traveling or living abroad.

ChipHeadInd

varchar(1)

Someone in the household has an interest in chip heads.

TVGuideInd

varchar(1)

Someone in the household has an interest in TV Guides.

RaceCodeInputIndividualCode

varchar(1)

Indicates the race of the person.

RaceCodeLowDetail

varchar(1)

Likely race/ethnicity of the 1st person in the household, based on self-reported sources, public sources, and surname/Ethnicity tables.

CountryofOriginHighDetailCode

varchar(2)

Likely race/ethnicity of the 1st person in the household, based on self-reported sources, public sources, surname/Ethnicity tables and modeled data.

HispanicLanguagePreferenceCode

varchar(1)

Likely Country of Origin of the 1st person in the household, based on a surname/heritage of surname table.

SatelliteTVRank

varchar(2)

Likelihood a consumer subscribes to a satellite TV service.

BoatOwnersInsuranceRank

varchar(2)

Propensity for a consumer to obtain boat owners insurance.

PurchaseMobilePhoneCamRank

varchar(2)

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder.

ReadNewsInWeekdayPaperRank

varchar(2)

This ranks a household’s likelihood to read international/national news in a weekday newspaper.

TraditionalCableTVSubscriberRank

varchar(2)

Likely to subscribe to traditional cable TV, like Spectrum or Cox.

TVGuideNetworkRank

varchar(2)

Likely to subscribe or use a TV Guide Network.

MembershipInYachtClubeRank

varchar(2)

Propensity ranking designed to identify consumers who have household membership in boat or yacht club

PurchaseComputerMemoryRank

varchar(2)

Likelihood to buy computer memory.

PurchaseTabletComputereReadersRank

varchar(2)

This ranks a household’s likelihood to buy a tablet computer & eReader.

PurchaseTabletComputerRank

varchar(2)

This ranks a household’s likelihood to buy a tablet computer.

PurchaseDesktopComputerRank

varchar(2)

This ranks a household’s likelihood to buy a desktop computer.

EarlyTechnologyAdopterRank

varchar(2)

This ranks a household’s likelihood to be an early technology adopter.

BuyPowerBoatSailBoatNetRank

varchar(2)

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months.

WaterSportsSubstitutionRank

varchar(2)

This element ranks the likelihood a consumer will engage in water sports activities while traveling.

InterestInComputerVideoGamesRank

varchar(3)

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages.

TravelAirportsRank

varchar(3)

Individuals who are likely frequent flyers.

NetWorthGoldRank

varchar(1)

Net Worth Gold is a modeled propensity element, assigning households to the most likely range of net worth, as determined by assets minus liabilities.

TeletrendsCellularUserRank

varchar(2)

Indicates households that are likely to subscribe to a cellular service.

GardeningHousePlantsInd

varchar(1)

Indicates that an individual made a purchase of Gardening Houseplants within the last 24 months in the Household.

VehicleTypeVehicleCode1

varchar(2)

This element indicates the type of vehicle that exists in Vehicle 1 (elements 9040-9044). It can be used to determine the household’s vehicle “lifestyle”.

VehicleTypeVehicleCode2

varchar(2)

This element indicates the type of vehicle that exists in Vehicle 2 (elements 9040-9044). It can be used to determine the household’s vehicle “lifestyle”.

AudiencePropensitiesMatchInd

varchar(1)

Audience propensities match flag

StatusCode

varchar(1)

Internal Data Will replace when data is found and explained

MailOrderBuyerCode

varchar(1)

Household has purchased products via mail. This element is from sources that explicitly indicate the household is a Mail Order Buyer. There is no indication of how the purchase was made.

SuppressionMailDMA

varchar(1)

The consumer has indicated to the Direct Marketing Association (DMA) the desire to opt out of mail solicitation.

BuyingActivityGarden

varchar(1)

Indicates that an order was placed in the Garden category in the past 2 years

BuyingActivityFitnessAndExercise

varchar(1)

Indicates that an order was placed in the Fitness/ Exercise category in the past 2 years

People2Demographic

BirthYear2

varchar(4)

Indicates the year of the date of birth from the 2nd individual in the household.

BirthMonth2

varchar(2)

Indicates the month of the date of birth from the 2nd individual in the household.

BirthDay2

varchar(2)

Indicates the day of the date of birth from the 2nd individual in the household.

Gender2

varchar(1)

Indicates the gender of the 2nd ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

People3Demographic

BirthYear3

varchar(4)

Indicates the year of the date of birth from the 3rd individual in the household.

BirthMonth3

varchar(2)

Indicates the month of the date of birth from the 3rd individual in the household.

BirthDay3

varchar(2)

Indicates the day of the date of birth from the 3rd individual in the household.

Gender3

varchar(1)

Indicates the gender of the 3rd ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

People4Demographic

BirthYear4

varchar(4)

Indicates the year of the date of birth from the 4th individual in the household.

BirthMonth4

varchar(2)

Indicates the month of the date of birth from the 4th individual in the household.

BirthDay4

varchar(2)

Indicates the day of the date of birth from the 4th individual in the household.

Gender4

varchar(1)

Indicates the gender of the 4th ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

People5Demographic

BirthYear5

varchar(4)

Indicates the year of the date of birth from the 5th individual in the household.

BirthMonth5

varchar(2)

Indicates the month of the date of birth from the 5th individual in the household.

BirthDay5

varchar(2)

Indicates the day of the date of birth from the 5th individual in the household.

Gender5

varchar(1)

Indicates the gender of the 5th ranked person in the household. The ranking is based on a series of InfoBase ranking rules.

Code and Definitions#

Column Name

Code

Definition

CongressionalDistrictCode

98

Delegate District - at Large (District of Columbia) or Resident Commissioner District - at Large (Puerto Rico, other Island Territories)

ZZ

Congressional Districts not defined (Connecticut, Illinois, and Michigan)

Age0to2FemaleInd

1

Yes

0

Default

Age0to2MaleInd

1

Yes

0

Default

Age0to2UnknownGenderInd

1

Yes

0

Default

Age3to5FemaleInd

1

Yes

0

Default

Age3to5MaleInd

1

Yes

0

Default

Age3to5UnknownGenderInd

1

Yes

0

Default

Age6to10FemaleInd

1

Yes

0

Default

Age6to10MaleInd

1

Yes

0

Default

Age6to10UnknownGenderInd

1

Yes

0

Default

Age11to15FemaleInd

1

Yes

0

Default

Age11to15MaleInd

1

Yes

0

Default

Age11to15UnknownGenderInd

1

Yes

0

Default

Age16to17FemaleInd

1

Yes

0

Default

Age16to17MaleInd

1

Yes

0

Default

Age16to17UnknownGenderInd

1

Yes

0

Default

Age18to24FemaleInd

1

Yes

0

Default

Age25to34FemaleInd

1

Yes

0

Default

Age35to44FemaleInd

1

Yes

0

Default

Age45to54FemaleInd

1

Yes

0

Default

Age55to64FemaleInd

1

Yes

0

Default

Age65to74FemaleInd

1

Yes

0

Default

Age75FemaleInd

1

Yes

0

Default

Age18to24MaleInd

1

Yes

0

Default

Age25to34MaleInd

1

Yes

0

Default

Age35to44MaleInd

1

Yes

0

Default

Age45to54MaleInd

1

Yes

0

Default

Age55to64MaleInd

1

Yes

0

Default

Age65to74MaleInd

1

Yes

0

Default

Age75MaleInd

1

Yes

0

Default

Age18to24UnknownGenderInd

1

Yes

0

Default

Age25to34UnknownGenderInd

1

Yes

0

Default

Age35to44UnknownGenderInd

1

Yes

0

Default

Age45to54UnknownGenderInd

1

Yes

0

Default

Age55to64UnknownGenderInd

1

Yes

0

Default

Age65to74UnknownGenderInd

1

Yes

0

Default

Age75UnknownGenderInd

1

Yes

0

Default

AgeLessthan1Ind

1

True

Default

Age1Ind

1

True

Default

Age2Ind

1

True

Default

Age3Ind

1

True

Default

Age4Ind

1

True

Default

Age5Ind

1

True

Default

Age6Ind

1

True

Default

Age7Ind

1

True

Default

Age8Ind

1

True

Default

Age9Ind

1

True

Default

Age10Ind

1

True

Default

Age11Ind

1

True

Default

Age12Ind

1

True

Default

Age13Ind

1

True

Default

Age14Ind

1

True

Default

Age15Ind

1

True

Default

Age16Ind

1

True

Default

Age17Ind

1

True

Default

Age18Ind

1

True

Default

AgeinTwoYearIncrInputIndReseller

17

Age less than 18

18

Age 18 - 19

20

Age 20 - 21

22

Age 22 - 23

24

Age 24 - 25

26

Age 26 - 27

28

Age 28 - 29

30

Age 30 - 31

32

Age 32 - 33

34

Age 34 - 35

36

Age 36 - 37

38

Age 38 - 39

40

Age 40 - 41

42

Age 42 - 43

44

Age 44 - 45

46

Age 46 - 47

48

Age 48 - 49

50

Age 50 - 51

52

Age 52 - 53

54

Age 54 - 55

56

Age 56 - 57

58

Age 58 - 59

60

Age 60 - 61

62

Age 62 - 63

64

Age 64 - 65

66

Age 66 - 67

68

Age 68 - 69

70

Age 70 - 71

72

Age 72 - 73

74

Age 74 - 75

76

Age 76 - 77

78

Age 78 - 79

80

Age 80 - 81

82

Age 82 - 83

84

Age 84 - 85

86

Age 86 - 87

88

Age 88 - 89

90

Age 90 - 91

92

Age 92 - 93

94

Age 94 - 95

96

Age 96 - 97

98

Age 98 - 99

99

Age greater than 99

Default

AfricanAmericanProfessionals

1

Yes

0

Default

SupportsAnimalWelfareInd

1

Yes

0

Default

ArtsInd

1

Someone in the household has an interest in fine arts, such as painting, sculpting, filming, architecture, literature, or textiles.

Default

SupportsArtsOrCulturalInd

1

Yes

0

Default

AudiencePropensitiesMatchInd

M

Matched

Default

AutoWorkInd

1

Someone in the household has an interest in working on vehicles and mechanics.

Default

AviationInd

1

Someone in the household has an interest in Aviation.

Default

BankCardHolderInd

1

Yes

0

Default

BeautyCosmeticsInd

1

Someone in the household has an interest in Beauty and Cosmetics. Some of the households have purchased at least $50 in beauty and cosmetic items. Data falls off after 3 years if not updated by a source.

Default

BikingMountainBikingInd

1

Someone in the household has an interest in biking / mountain biking.

Default

BoatingSailingInd

1

Someone in the household has an interest in boating / sailing.

Default

BoatOwnerInd

1

Someone in the household has an interest in owning or buying a boat.

Default

BoatOwnersInsuranceRank

01

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

02

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

03

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

04

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

05

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

06

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

07

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

08

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

09

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

10

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

11

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

12

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

13

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

14

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

15

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

16

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

17

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

18

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

19

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

20

Propensity for a consumer to obtain boat owners insurance. 1 - Most Likely and 20 - Least Likely

Default

BroaderLivingInd

1

True

Default

BusinessOwnerCode

A

Accountant

B

Builder

C

Contractor

D

Dealer/Retailer/Storekeeper

E

Distributor/Wholesaler

F

Funeral Director

M

Maker/Manufacturer

O

Owner

P

Partner

S

Self-Employed

Default is Blank(s)

BuyPowerBoatSailBoatNetRank

01

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

02

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

03

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

04

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

05

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

06

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

07

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

08

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

09

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

10

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

11

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

12

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

13

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

14

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

15

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

16

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

17

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

18

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

19

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

20

This element ranks the likelihood that someone in the household plans to Buy a powerboat or sailboat in the next twelve months. 1 - Most Likely and 20 - Least Likely

Default

CampingHikingInd

1

Someone in the household has an interest in camping / hiking.

Default

CareerInd

1

These are Career Minded people who focus on career and look for opportunities to move higher in their company with a goal to have executive status.

Default

CareerImprovementInd

1

Someone in the household has an interest in Career Improvement.

Default

CatOwnerInd

1

Someone in the household has an interest in owning a cat or actually owns a cat.

Default

CelebritiesInd

1

Someone in the household has an interest in Celebrities and their lives.

Default

SupportsCharitableInd

1

Yes

0

Default

SupportsChildrensInd

1

Yes

0

Default

ChildrensInterestsInd

1

Denotes someone in household has purchased children’s items (clothes, books, toys, etc.) showing they have an interest in children.

Default

ChipHeadInd

1

Someone in the household has an interest in chip heads.

Default

ChristianFamiliesInd

1

Someone in the household has an interest in Christian Families.

Default

CollectiblesAndAntiquesGroupInd

1

True

Default

CollectiblesAntiquesInd

1

Someone in the household has an interest in collecting Antiques.

Default

CollectiblesArtsInd

1

Someone in the household has an interest in collecting Arts.

Default

CollectiblesCoinsInd

1

Someone in the household has an interest in collecting Coins.

Default

CollectiblesGeneralInd

1

Someone in the household has a general interest in collecting.

Default

CollectiblesSportsMemorabiliaInd

1

Sports Memorabilia Collectors - file represents consumers who have chosen to receive specific information on their sports memorabilia collecting interests.

Default

CollectiblesStampsInd

1

Someone in the household has an interest in collecting Stamps.

Default

CollectorAvidInd

1

These people show a high interest in the world of collectibles. Their collections are more than just hobbies. Internal source data and 3 out of several collectible buying activity elements and interest elements must be populated for this element to be populated.

Default

CollegeGraduateInd

1

Is a College Graduate

Default

CommonLivingInd

1

True

Default

CommunityCharitiesInd

1

Someone in the household has an interest in their community and/or charitable organizations.

Default

CRAIncomeClassificationCode

1

Low Income

2

Moderate Income

3

Middle Income

4

High Income

Default

ComputersInd

1

Someone in the household has an interest in computers.

Default

CongressionalDistrictCode

01

District 1

02

District 2

03

District 3

04

District 4

05

District 5

06

District 6

07

District 7

08

District 8

09

District 9

10

District 10

11

District 11

12

District 12

13

District 13

14

District 14

15

District 15

16

District 16

17

District 17

18

District 18

19

District 19

20

District 20

21

District 21

22

District 22

23

District 23

24

District 24

25

District 25

26

District 26

27

District 27

28

District 28

29

District 29

30

District 30

31

District 31

32

District 32

33

District 33

34

District 34

35

District 35

36

District 36

37

District 37

38

District 38

39

District 39

40

District 40

41

District 41

42

District 42

43

District 43

44

District 44

45

District 45

46

District 46

47

District 47

48

District 48

49

District 49

50

District 50

51

District 51

52

District 52

53

District 53

Default

ConsumerElectronicsInd

1

Someone in the household has an interest in consumer electronics.

Default

CookFoodGroupInd

1

True

Default

CookingGeneralInd

1

Someone in the household has a general interest in cooking.

Default

CookingGourmetInd

1

Someone in the household has an interest in gourmet cooking.

Default

CookingLowFatInd

1

Someone in the household has an interest in low fat cooking.

Default

CountryofOriginHighDetailCode

10

Asian

11

Cambodia

12

China

13

Guam

14

India

15

Indonesia

16

Japan

17

Korea

18

Laos

19

Malaysia

1A

Philippines

1B

Vietnam

20

African American

30

Hispanic

41

Albania

42

America

43

Arabia

44

Armenia

45

Austria

46

Belarus

47

Belgium

48

Bosnia

49

Bulgaria

4A

Canada

4B

Croatia

4C

Czech

4D

Denmark

4E

Dutch

4F

Egypt

4G

England

4H

Estonia

4I

Finland

4J

France

4K

Germany

4L

Greece

4M

Hungary

4N

Iceland

4O

Iran

4P

Ireland

4Q

Italy

4R

Jewish

4S

Latvia

4T

Lithuania

4U

Luxembourg

4V

Malta

4W

Moldavia

4X

Netherlands

4Y

Norway

4Z

Poland

51

Portugal

52

Romania

53

Russia

54

Scandinavia

55

Scotland

56

Serbia

57

Slovakia

58

Slovenia

59

Solomon Islands

5A

Sweden

5B

Switzerland

5C

Turkey

5D

Ukraine

5E

Wales

40

White

Default

CraftsInd

1

Someone in the household has an interest in crafts.

Default

CreditCardUserInd

Y

True

Default

CulturalArtisticLivingInd

1

True

Default

CurrentAffairsPoliticsInd

1

Someone in the household has an interest in current affairs / politics.

Default

DietingWeightLossInd

1

Someone in the household has an interest in dieting / weight loss.

Default

DoingItYourselflivingInd

1

True

Default

DogOwnerInd

1

Someone in the household has an interest in owning a dog or actually owns a dog.

Default

DwellingTypeCode

M

Multiple Family Dwelling Unit

S

Single Family Dwelling Unit

Default

EarlyTechnologyAdopterRank

01

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to be an early technology adopter. 1 - Most Likely and 20 - Least Likely

Default

EducationCode1

1

Completed High School

2

Completed College

3

Completed Graduate School

4

Attended Vocational/Technical

Default

EducationInputIndividualCount

1

Completed High School

2

Completed College

3

Completed Graduate School

4

Attended Vocational/Technical

Default

EducationOnlineInd

1

Someone in the household has an interest in online education/distance learning.

Default

ElectronicsComputersGroupInd

1

True

Default

eMailAppendAvailableInd

Y

eMail append is available for this individual

Default

EnvironmentalIssuesInd

1

Someone in the household has an interest in environmental or wildlife issues.

Default

SupportsEnvironmentOrWildlifeInd

1

Yes

0

Default

EquestrianInd

1

Someone in the household has an interest in riding horses.

Default

ExerciseAerobicInd

1

Someone in the household has an interest in aerobic exercise.

Default

ExerciseHealthGroupInd

1

True

Default

ExerciseRunningJoggingInd

1

Someone in the household has an interest in running/jogging for exercise.

Default

ExerciseWalkingInd

1

Someone in the household has an interest in walking for exercise.

Default

FashionInd

1

Someone in the household has an interest in fashion. They are interested in the latest styles and trends of the fashion world.

Default

FishingInd

1

Someone in the household has an interest in fishing.

Default

FoodsNaturalInd

1

Someone in the household has an interest in natural or organic foods.

Default

FoodsVegetarianInd

1

Someone in the household has an interest in vegetarian food.

Default

GamesBoardGamesPuzzlesInd

1

Someone in the household has an interest in board games / puzzles.

Default

GamesComputerGamesInd

1

Someone in the household has an interest in computers games.

Default

GamesVideoGamesInd

1

Someone in the household has an interest in video games.

Default

GardeningInd

1

Someone in the household has purchased garden/landscape products (trees, shrubs, flowers, gardening equipment, books, etc.). Indicates an interest in gardening.

Default

GardeningHousePlantsInd

1

True

Default

Gender1

M

Male

F

Female

Default

Gender2

M

Male

F

Female

Default

Gender3

M

Male

F

Female

Default

Gender4

M

Male

F

Female

Default

Gender5

M

Male

F

Female

Default

GenderCode

M

Male

F

Female

U

Unknown

GenerationsInHouseholdCount

1

1 Generation - 1 Adult

2

2 Generations - Adult / Child

3

3 Generations - Adults / Child / Parent

Default

GolfInd

1

Someone in the household has an interest in playing golf.

Default

GrandChildrenInd

1

Someone in the household has an interest in grandchildren.

Default

GreenLivingInd

1

True

Default

SupportsHealthInd

1

Yes

0

Default

HighbrowInd

1

True

Default

HighTechLivingInd

1

True

Default

HispanicLanguagePreferenceCode

S

Prefers Spanish

E

Does Not Speak Spanish

B

Bilingual Spanish and English

X

Non-Hispanic

Default

HistoyMilitaryInd

1

Someone in the household has an interest in history / military.

Default

HomeFurnishingsDecoratingInd

1

Someone in the household has an interest in home furnishings / decorating. Data falls off after 5 years if not updated by a source.

Default

HomeImprovementInd

1

Someone in the household has an interest in home improvement. Data falls off after 5 years if not updated by a source.

Default

HomeImprovementDIYInd

1

These people show a high interest in doing-it-themselves for home improvements. Rather than hire someone to do the job, they will do it.

Default

HomeImprovementGroupInd

1

True

Default

HomeLivingInd

1

True

Default

HomeLTVEstimatedActualCode

000-000

No Loans

001-049

01%-49%

050-059

50%-59%

060-069

60%-69%

070-079

70%-79%

080-084

80%-84%

085-089

85%-89%

090-094

90%-94%

095-099

95%-99%

100-999

100% or more

Default

HomeLTVEstimatedRangesCode

A

100 - 999%

B

95 - 99%

C

90 - 94%

D

85 - 89%

E

80 - 84%

F

75 - 79%

G

70 - 74%

H

60 - 69%

I

50 - 59%

J

01 - 49%

K

0% (No Loans)

Default

HomeLotSquareFootageRangesCode

A

Less than 5,000

B

5,000 - 10,000

C

10,001 - 15,000

D

15,001 - 20,000

E

20,001 - 30,000

F

30,001 - 45,000

G

45,001 - 90,000

H

90,001 - 220,000

I

Greater than 220,000

Default

EstimatedHomeMarketValueCode

B

$25,000 - $49,999

C

$50,000 - $74,999

D

$75,000 - $99,999

E

$100,000 - $124,999

F

$125,000 - $149,999

G

$150,000 - $174,999

H

$175,000 - $199,999

I

$200,000 - $224,999

J

$225,000 - $249,999

K

$250,000 - $274,999

L

$275,000 - $299,999

M

$300,000 - $349,999

N

$350,000 - $399,999

O

$400,000 - $449,999

P

$450,000 - $499,999

Q

$500,000 - $749,999

R

$750,000 - $999,999

S

$1,000,000 Plus

Default

HomePropertyTypeCode

A

Apartment

B

Condo

C

Single

Default

HomePropertyTypeDetailCode

A

Single Family Dwelling Unit

B

Condo

C

Cooperative

D

2-4 Unite (Duplex, Triplex, Quad)

E

Miscellaneous Residence (Combo Store/Flat)

G

Apartment (5+ Units)

M

Mobile Home

T

Timeshare

Default

HomePurchaseAmountRangesCode

A

Less than $50,000

B

$50,000 - $99,999

C

$100,000 - $149,999

D

$150,000 - $199,999

E

$200,000 - $249,999

F

$250,000 - $299,999

G

$300,000 - $349,999

H

$350,000 - $399,999

I

$400,000 - $449,999

J

$450,000 - $499,999

K

$500,000 - $599,999

L

$600,000 - $699,999

M

$700,000 - $799,999

N

$800,000 - $999,999

O

$1,000,000 - $1,499,999

P

$1,500,000 - $1,999,999

Q

Greater than $1,999,999

Default

HomeVideoRecordingInd

1

Someone in the household has an interest in Home Video Recording.

Default

HomeYearBuiltCode

A

Before 1900

B

1900 - 1940

C

1941 - 1950

D

1951 - 1960

E

1961 - 1970

F

1971 - 1980

G

1981 - 1985

H

1986 - 1990

I

1991 - 1995

J

1996 - 2000

K

2001 - 2005

L

2006 - Present

Default

HousePlantsInd

1

Someone in the household has an interest in house plants.

Default

HuntingShootingInd

1

Someone in the household has an interest in hunting / shooting.

Default

IncomeEstimatedHousehold

1

Under $10,000

2

$10,000 - $14,999

3

$15,000 - $19,999

4

$20,000 - $24,999

5

$25,000 - $29,999

6

$30,000 - $34,999

7

$35,000 - $39,999

8

$40,000 - $44,999

9

$45,000 - $49,999

A

$50,000 - $54,999

B

$55,000 - $59,999

C

$60,000 - $64,999

D

$65,000 - $74,999

E

$75,000 - $99,999

F

$100,000 - $149,999

G

$150,000 - $174,999

H

$175,000 - $199,999

I

$200,000 - $249,999

J

$250,000 +

Default

InferredHouseholdRankCode

1

Inferred Rank in Household of 1st

2

Inferred Rank in Household of 2nd

3

Inferred Rank in Household of 3rd

4

Inferred Rank in Household of 4th

5

Inferred Rank in Household of 5th

6

Inferred Rank in Household of 6th

7

Inferred Rank in Household of 7th

8

Inferred Rank in Household of 8th

9

Inferred Rank in Household of 9th

Default

InfoBasePositiveMatchInd

M

Customer Name and Address was found on InfoBase Consumer Data Enhancement

Default

InterestInComputerVideoGamesRank

001

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

002

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

003

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

004

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

005

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

006

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

007

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

008

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

009

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

010

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

011

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

012

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

013

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

014

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

015

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

016

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

017

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

018

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

019

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

020

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

021

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

022

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

023

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

024

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

025

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

026

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

027

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

028

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

029

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

030

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

031

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

032

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

033

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

034

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

035

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

036

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

037

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

038

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

039

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

040

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

041

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

042

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

043

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

044

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

045

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

046

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

047

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

048

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

049

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

050

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

051

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

052

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

053

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

054

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

055

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

056

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

057

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

058

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

059

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

060

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

061

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

062

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

063

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

064

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

065

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

066

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

067

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

068

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

069

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

070

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

071

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

072

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

073

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

074

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

075

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

076

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

077

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

078

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

079

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

080

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

081

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

082

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

083

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

084

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

085

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

086

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

087

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

088

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

089

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

090

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

091

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

092

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

093

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

094

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

095

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

096

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

097

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

098

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

099

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

100

Consumers with likely interest in computer & video games; modeled from social sharing, searched page visits and click-backs on shared pages. 1 - Most Likely and 100 - Least Likely

Default

SupportsInternationalAidInd

1

Yes

0

Default

InvestingFinanceGroupInd

1

True

Default

InvestmentsForeignInd

1

Someone in the household has an interest in Foreign investments.

Default

InvestmentsPersonalInd

1

Someone in the household has indicated they are interested in personal investments.

Default

InvestmentsRealEstateInd

1

Someone in the household has indicated they are interested in real estate investments, or their county information indicated the property was an investment property.

Default

InvestmentsStocksBondsInd

1

Someone in the household has indicated they are interested in stocks and bonds investments.

Default

MailOrderResponderInd

R

Mail Order Responder

Default

CreditCardHolderUnknownTypeInd

1

Yes

0

Default

GasDepartmentRetailCardHolderInd

1

Yes

0

Default

HomeLengthofResidenceCode

00

Less than 1 year

01

1 Year

02

2 Years

03

3 Years

04

4 Years

05

5 Years

06

6 Years

07

7 Years

08

8 Years

09

9 Years

10

10 Years

11

11 Years

12

12 Years

13

13 Years

14

14 Years

15

Greater than 14 Years

Default

HomeOwnerRenterCode

O

Home Owner

R

Renter

Default

HouseholdSizeCode

1

1 Person in the Household

2

2 People in the Household

3

3 People in the Household

4

4 People in the Household

5

5 People in the Household

6

6 People in the Household

7

7 People in the Household

8

8 People in the Household

9

Greater than 8 people in the household

Default

MailOrderBuyerCode

B

Mail Order Buyer

Default

MailOrderDonorInd

1

Yes

Default

MaritalStatus

M

Married

S

Single

A

Inferred Married

B

Inferred Single

Default

NumberOfAdultsCode

1

1 Adult

2

2 Adults

3

3 Adults

4

4 Adults

5

5 Adults

6

Greater than 5 Adults

Default

NumberOfChildrenCode

0

No Children

1

1 Child

2

2 Children

3

3 Children

4

4 Children

5

5 Children

6

6 Children

7

7 Children

8

Greater than 7 Children

Default

PremiumCardHolderInd

1

Yes

0

Default

TravelAndEntCardHolderInd

1

Yes

0

Default

UpscaleDeptStoreCardHolderInd

1

Yes

0

Default

MembershipInYachtClubeRank

01

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

02

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

03

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

04

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

05

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

06

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

07

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

08

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

09

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

10

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

11

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

12

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

13

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

14

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

15

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

16

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

17

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

18

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

19

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

20

Propensity ranking designed to identify consumers who have household membership in boat or yacht club. 1 - Most Likely and 20 - Least Likely

Default

MoneySeekersInd

1

Internal ‘money seeker’ source data, along with some investment elements must be populated for this element to be populated.

Default

MotorcycleOwnerInd

1

Yes

Default

MotorcyclingInd

1

Someone in the household has an interest in riding motorcycles.

Default

MovieCollectorInd

1

Someone in the household has indicated they are interested in collecting movies.

Default

MovieMusicGroupInd

1

True

Default

MoviesatHomeInd

1

Someone in the household has indicated they are interested in watching movies at home. These households have a DVD player or a VCR and they also enjoy home video recording.

Default

MusicAvidListenerInd

1

Someone in the household has indicated they have an interest in music and they are an avid music listener.

Default

MusicCollectorInd

1

Someone in the household has indicated they have an interest in collecting music.

Default

MusicHomeStereoInd

1

Someone in the household has indicated they have an interest in home stereos.

Default

MusicPlayerInd

1

Someone in the household has indicated they have an interest in music players. (i.e. iPod, MP3, etc.)

Default

NASCARInd

1

Someone in the household indicated they are interested in NASCAR (racing or novelty items). This indication could mean they have been to a race, they watch it on television, they are a general fan, or they buy collectibles.

Default

NetWorthGoldRank

1

Less than or equal to $0

2

$1 - $4,999

3

$5,000 - $9,999

4

$10,000 - $24,999

5

$25,000 - $49,999

6

$50,000 - $99,999

7

$100,000 - $249,999

8

$250,000 - $499,999

9

$500,000 - $999,999

A

$1,000,000 - $1,999,999

B

$2,000,000 +

Default

OccupationCode1

1

Professional / Technical

2

Administration / Managerial

3

Sales / Service

4

Clerical / White Collar

5

Craftsman / Blue Collar

6

Student

7

Homemaker

8

Retired

9

Farmer

A

Military

B

Religious

C

Self Employed

D

Self Employed - Professional / Technical

E

Self Employed - Administration / Managerial

F

Self Employed - Sales / Service

G

Self Employed - Clerical / White Collar

H

Self Employed - Craftsman / Blue Collar

I

Self Employed - Student

J

Self Employed - Homemaker

K

Self Employed - Retired

L

Self Employed - Other

V

Educator

W

Financial Professional

X

Legal Professional

Y

Medical Professional

Z

Other

Default

OccupationDetailInputIndividualCode

A000

Professional

A001

Architect

A002

Chemist

A003

Curator

A004

Engineer

A005

Engineer/Aerospace

A006

Engineer/Chemical

A007

Engineer/Civil

A008

Engineer/Electrical/Electronic

A009

Engineer/Field

A010

Engineer/Industrial

A011

Engineer/Mechanical

A012

Geologist

A013

Home Economist

A014

Legal/Attorney/Lawyer

A015

Librarian/Archivist

A016

Medical Doctor/Physician

A017

Pastor

A018

Pilot

A019

Scientist

A020

Statistician/Actuary

A021

Veterinarian

B000

Executive/Upper Management

B001

CEO/CFO/Chairman/Corp Officer

B002

Comptroller

B003

Politician/Legislator/Diplomat

B004

President

B005

Treasurer

B006

Vice President

C000

Middle Management

C001

Account Executive

C002

Director/Art Director

C003

Director/Executive Director

C004

Editor

C005

Manager

C006

Manager/Assistant Manager

C007

Manager/Branch Manager

C008

Manager/Credit Manager

C009

Manager/District Manager

C010

Manager/Division Manager

C011

Manger/General Manager

C012

Manager/Marketing Manager

C013

Manager/Office Manager

C014

Manager/Plant Manager

C015

Manager/Product Manager

C016

Manager/Project Manager

C017

Manager/Property Manager

C018

Manager/Regional Manager

C019

Manager/Sales Manager

C020

Manager/Store Manager

C021

Manager/Traffic Manager

C022

Manager/Warehouse Manager

C023

Planner

C024

Principal/Dean/Educator

C025

Superintendent

C026

Supervisor

D000

White Collar Worker

D001

Accounting/Biller/Billing clerk

D002

Actor/Entertainer/Announcer

D003

Adjuster

D004

Administration/Management

D005

Advertising

D006

Agent

D007

Aide/Assistant

D008

Aide/Assistant/Executive

D009

Aide/Assistant/Office

D010

Aide/Assistant/School

D011

Aide/Assistant/Staff

D012

Aide/Assistant/Technical

D013

Analyst

D014

Appraiser

D015

Artist

D016

Auctioneer

D017

Auditor

D018

Banker

D019

Banker/Loan Office

D020

Banker/Loan Processor

D021

Bookkeeper

D022

Broker

D023

Broker/Stock/Trader

D024

Buyer

D025

Cashier

D026

Caterer

D027

Checker

D028

Claims Examiner/Rep/Adjudicator

D029

Clerk

D030

Clerk/File

D031

Collector

D032

Communications

D033

Conservation/Environment

D034

Consultant/Advisor

D035

Coordinator

D036

Customer Service/Representative

D037

Designer

D038

Detective/Investigator

D039

Dispatcher

D040

Draftsman

D041

Estimator

D042

Expeditor

D043

Finance

D044

Flight Attendant/Steward

D045

Florist

D046

Graphic Designer/Commercial Artist

D047

Hostess/Host/Usher

D048

Insurance/Agent

D049

Insurance/Underwriter

D050

Interior Designer

D051

Jeweler

D052

Marketing

D053

Merchandiser

D054

Model

D055

Musician/Music/Dance

D056

Personnel/Recruiter/Interviewer

D057

Photography

D058

Public Relations

D059

Publishing

D060

Purchasing

D061

Quality Control

D062

Real Estate/Realtor

D063

Receptionist

D064

Reporter

D065

Researcher

D066

Sales

D067

Sales Clerk/Counterman

D068

Security

D069

Surveyor

D070

Technician

D071

Telemarketer/Telephone/Operator

D072

Teller/Bank Teller

D073

Tester

D074

Transcripter/Translator

D075

Travel Agent

D076

Union Member/Rep.

D077

Ward Clerk

D078

Water Treatment

D079

Writer

E001

Blue Collar Worker

E002

Animal Technician/Groomer

E003

Apprentice

E004

Assembler

E005

Athlete/Professional

E006

Attendant

E007

Auto Mechanic

E008

Baker

E009

Barber/Hairstylist/Beautician

E010

Bartender

E011

Binder

E012

Bodyman

E013

Brakeman

E014

Brewer

E015

Butcher/Meat Cutter

E016

Carpenter/Furniture/Woodworking

E017

Chef/Butler

E018

Child Care/Day Care/Babysitter

E019

Cleaner/Laundry

E020

Clerk/Deli

E021

Clerk/Produce

E022

Clerk/Stock

E023

Conductor

E024

Construction

E025

Cook

E026

Cosmetologist

E027

Courier/Delivery/Messenger

E028

Crewman

E029

Custodian

E030

Cutter

E031

Dock Worker

E032

Driver

E033

Driver/Bus Driver

E034

Driver/Truck Driver

E035

Electrician

E036

Fabricator

E037

Factory Workman

E038

Farmer/Dairyman

E039

Finisher

E040

Fisherman/Seaman

E041

Fitter

E042

Food Service

E043

Foreman/Crew leader

E044

Foreman/Shop Foreman

E045

Forestry

E046

Foundry Worker

E047

Furrier

E048

Gardener/Landscaper

E049

Glazier

E050

Grinder

E051

Grocer

E052

Helper

E053

Housekeeper/Maid

E054

Inspector

E055

Installer

E056

Ironworker

E057

Janitor

E058

Journeyman

E059

Laborer

E060

Lineman

E061

Lithographer

E062

Loader

E063

Locksmith

E064

Machinist

E065

Maintenance

E066

Maintenance/Supervisor

E067

Mason/Brick/Etc.

E068

Material Handler

E069

Mechanic

E070

Meter Reader

E071

Mill worker

E072

Millwright

E073

Miner

E074

Mold Maker/Molder/Injection Mold

E075

Oil Industry/Driller

E076

Operator

E077

Operator/Boilermaker

E078

Operator/Crane Operator

E079

Operator/Forklift Operator

E080

Operator/Machine Operator

E081

Packer

E082

Painter

E083

Parts (Auto Etc.)

E084

Pipe fitter

E085

Plumber

E086

Polisher

E087

Porter

E088

Press Operator

E089

Presser

E090

Printer

E091

Production

E092

Repairman

E093

Roofer

E094

Sanitation/Exterminator

E095

Seamstress/Tailor/Handicraft

E096

Setup man

E097

Sheet Metal Worker/Steel Worker

E098

Shipping/Import/Export/Custom

E099

Sorter

E100

Toolmaker

E101

Transportation

E102

Typesetter

E103

Upholstery

E104

Utility

E105

Waiter/Waitress

E106

Welder

F000

Health Services

F001

Chiropractor

F002

Dental Assistant

F003

Dental Hygienist

F004

Dentist

F005

Dietician

F006

Health Care

F007

Medical Assistant

F008

Medical Secretary

F009

Medical Technician

F010

Medical/Paramedic

F011

Nurses Aide/Orderly

F012

Optician

F013

Optometrist

F014

Pharmacist/Pharmacy

F015

Psychologist

F016

Technician/Lab

F017

Technician/X-ray

F018

Therapist

F019

Therapists/Physical

G001

Legal/Paralegal/Assistant

G002

Legal Secretary

G003

Secretary

G004

Typist

H001

Homemaker

I000

Retired

I001

Retired/Pensioner

K000

Military Personnel

K001

Armed Forces

K002

Army Credit Union Trades

K003

Navy Credit Union Trades

K004

Air Force

K005

National Guard

K006

Coast Guard

K007

Marines

L001

Coach

L002

Counselor

L003

Instructor

L004

Lecturer

L005

Professor

L006

Teacher

L007

Trainer

M001

Nurse

M002

Nurse (Registered)

M003

Nurse/LPN

N000

Computer

N001

Computer Operator

N002

Computer Programmer

N003

Computer/Systems Analyst

N004

Data Entry/Key Punch

P000

Civil Service

P001

Air Traffic Control

P002

Civil Service/Government

P003

Corrections/Probation/Parole

P004

Court Reporter

P005

Firefighter

P006

Judge/Referee

P007

Mail Carrier/Postal

P008

Mail/Postmaster

P009

Police/Trooper

P010

Social Worker/Case Worker

Q001

Part Time

R001

Student

S001

Volunteer

Default

OccupationInputIndividualCode

1

Professional / Technical

2

Administration / Managerial

3

Sales / Service

4

Clerical / White Collar

5

Craftsman / Blue Collar

6

Student

7

Homemaker

8

Retired

9

Farmer

A

Military

B

Religious

C

Self Employed

D

Self Employed - Professional / Technical

E

Self Employed - Administration / Managerial

F

Self Employed - Sales / Service

G

Self Employed - Clerical / White Collar

H

Self Employed - Craftsman / Blue Collar

I

Self Employed - Student

J

Self Employed - Homemaker

K

Self Employed - Retired

L

Self Employed - Other

V

Educator

W

Financial Professional

X

Legal Professional

Y

Medical Professional

Z

Other

Default

SupportsOtherInd

1

Yes

0

Default

OtherPetOnwerInd

1

Someone in the household has an interest in owning a pet other than a dog or cat, or they actually own an other pet. (i.e. hamster, rabbit, bird, fish, etc.)

Default

OurNationsHeritageInd

1

Someone in the household has an interest in our nation’s heritage.

Default

OutdoorsGroupInd

1

True

Default

OverallMatchInd

M

Matched Record

Default

OwnerRenterCode

O

Home Owner

R

Renter

Default

ParentingInd

1

Someone in the household has an interest in parenting.

Default

InternetOnlineServiceUserInd

1

Someone in the household has an interest in Internet service provider information.

Default

ModemOwnerInd

1

Someone in the household has an interest in owning or buying a modem.

Default

PhotographyInd

1

Someone in the household has an interest in photography.

Default

SupportsPoliticalInd

1

Yes

0

Default

SupportsPoliticalConservativeInd

1

Yes

0

Default

SupportsPoliticalLiberalInd

1

Yes

0

Default

PoliticalPartyCode1

V

Voter - No Party

R

Voter - Republican

D

Voter - Democratic

I

Voter - Independent

Default

PoliticalPartyInputIndividualCode

V

Voter - No Party

R

Voter - Republican

D

Voter - Democratic

I

Voter - Independent

Default

PowerBoatingInd

1

Someone in the household has an interest in Power boating.

Default

PrecisionLevelCode

3

Household

4

Household Inferred

A

Zip+4

G

Zip

Default

PresenceOfChildrenInd

Y

Child(ren) Present

N

No Children Present

Default

ProfessionalLivingInd

1

True

Default

PurchaseComputerMemoryRank

01

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to buy computer memory.1 - Most Likely and 20 - Least Likely

Default

PurchaseDesktopComputerRank

01

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to buy a desktop computer. 1 - Most Likely and 20 - Least Likely

Default

PurchaseMobilePhoneCamRank

01

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to select a mobile phone based on camera/camcorder. 1 - Most Likely and 20 - Least Likely

Default

PurchaseTabletComputerRank

01

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to buy a tablet computer. 1 - Most Likely and 20 - Least Likely

Default

PurchaseTabletComputereReadersRank

01

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to buy a tablet computer & ereader. 1 - Most Likely and 20 - Least Likely

Default

RaceCodeInputIndividualCode

A

Asian

B

Black

C

Chinese

H

Hispanic

I

American Indian

N

Japanese

O

Other

P

Portuguese

W

White

Default

RaceCodeLowDetail

A

Asian

B

African American

H

Hispanic

W

White/Other

Default

ReadingAudioBooksInd

1

Someone in the household has an interest in listening to audio books.

Default

ReadingBestSellersInd

1

Someone in the household has an interest in reading best sellers.

Default

FinancialNewsletterSubscribersInd

1

Household indicated they subscribe to a financial newsletter. Our sources contribute both online and offline newsletter subscribers.

Default

ReadingGeneralInd

1

Someone in the household has a general interest in reading.

Default

ReadingGroupInd

1

True

Default

ReadingMagazinesInd

1

Someone in the household has an interest in reading magazines.

Default

ReadingReligiousInspirationalInd

1

Someone in the household has an interest in reading religious / inspirational items.

Default

ReadingScienceFictionInd

1

Someone in the household has an interest in reading science fiction.

Default

ReadNewsInWeekdayPaperRank

01

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

02

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

03

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

04

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

05

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

06

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

07

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

08

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

09

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

10

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

11

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

12

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

13

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

14

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

15

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

16

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

17

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

18

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

19

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

20

This ranks a household’s likelihood to read international/national news in a weekday newspaper. 1 - Most Likely and 20 - Least Likely

Default

SupportsReligiousInd

1

Yes

0

Default

ReligiousInspirationalInd

1

Someone in the household has an interest in religion / inspirational.

Default

RecreationalVehiclesInd

1

Someone in the household has an interest in recreational vehicles.

Default

RecreationalVehicleInd

1

Someone in the household has indicated that they own a recreational vehicle (RV).

Default

SatelliteTVRank

01

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

02

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

03

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

04

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

05

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

06

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

07

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

08

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

09

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

10

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

11

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

12

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

13

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

14

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

15

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

16

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

17

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

18

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

19

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

20

Ranks the likelihood a consumer subscribes to a satellite TV service. 1 - Most Likely and 20 - Least Likely

Default

ScienceSpaceInd

1

Someone in the household has an interest in science / space.

Default

ScubaDivingInd

1

Someone in the household has an interest in scuba diving.

Default

SelfImprovementInd

1

Someone in the household has an interest in self improvement.

Default

SeniorAdultInHouseholdInd

Y

Presence of Senior Adult

Default

SewingKnittingNeedleworkInd

1

Someone in the household has an interest in sewing / knitting / needlework.

Default

SingleParentInd

1

Yes

0

Default

SnowSkiingInd

1

Someone in the household has an interest in snow skiing.

Default

SmallOfficeHouseholdInd

1

Yes

Default

SpectatorSportsRacingInd

1

Someone in the household has an interest in watching auto / motorcycle racing.

Default

SpectatorSportsBaseballInd

1

Someone in the household has an interest in watching baseball.

Default

SpectatorSportsBastketballInd

1

Someone in the household has an interest in watching basketball.

Default

SpectatorSportsFootballInd

1

Someone in the household has an interest in watching football.

Default

SpectatorSportsHockeyInd

1

Someone in the household has an interest in watching hockey.

Default

SpectatorSportsSoccerInd

1

Someone in the household has an interest in watching soccer.

Default

SpectatorSportsTennisInd

1

Someone in the household has an interest in watching tennis.

Default

SpectatorSportsTVSportsInd

1

Three of the following interests must be populated for this element to be populated. Internal ‘sports’ source data, along with a number of spectator sports interest elements must be populated for this element to be populated.

Default

SportsGroupInd

1

True

Default

SportyLivingInd

1

True

Default

StrangeandUnusualInd

1

Someone in the household has an interest in the strange and unusual. This element refers to interest in the odd, abnormal, weird, supernatural, paranormal, etc.

Default

SuppressionMailDMA

N

Do not mail this Individual

Default

SweepstakesContestsInd

1

Someone in the household has an interest in entering sweepstakes / contests.

Default

TeletrendsCellularUserRank

01

Top 10% of Users (Most Likely)

02

11 - 20% of Users

03

21 - 30% of Users

04

31 - 40% of Users

05

41 - 50% of Users

06

51 - 60% of Users

07

61 - 70% of Users

08

71 - 80% of Users

09

81 - 90% of Users

10

Bottom 91 - 100% of Users (Least Likely)

Default

TennisInd

1

Someone in the household has an interest in playing tennis.

Default

TheaterPerformingArtsInd

1

Someone in the household has an interest in the theater / performing arts.

Default

TraditionalCableTVSubscriberRank

01

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

02

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

03

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

04

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

05

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

06

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

07

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

08

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

09

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

10

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

11

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

12

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

13

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

14

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

15

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

16

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

17

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

18

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

19

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

20

Likely to subscribe to traditional cable TV, like Spectrum or Cox.1 - Most Likely and 20 - Least Likely

Default

TravelAirportsRank

001

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

002

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

003

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

004

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

005

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

006

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

007

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

008

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

009

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

010

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

011

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

012

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

013

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

014

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

015

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

016

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

017

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

018

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

019

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

020

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

021

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

022

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

023

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

024

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

025

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

026

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

027

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

028

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

029

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

030

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

031

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

032

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

033

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

034

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

035

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

036

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

037

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

038

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

039

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

040

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

041

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

042

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

043

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

044

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

045

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

046

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

047

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

048

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

049

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

050

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

051

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

052

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

053

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

054

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

055

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

056

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

057

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

058

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

059

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

060

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

061

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

062

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

063

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

064

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

065

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

066

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

067

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

068

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

069

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

070

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

071

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

072

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

073

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

074

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

075

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

076

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

077

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

078

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

079

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

080

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

081

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

082

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

083

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

084

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

085

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

086

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

087

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

088

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

089

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

090

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

091

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

092

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

093

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

094

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

095

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

096

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

097

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

098

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

099

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

100

Individuals who are likely frequent flyers. 1 - Most Likely and 100 - Least Likely

Default

TravelCruiseVacationsInd

1

Someone in the household has an interest in taking cruise vacations.

Default

TravelDomesticInd

1

Someone in the household has an interest in domestic traveling.

Default

TravelFamilyVacationsInd

1

Someone in the household has an interest in taking family vacations.

Default

TravelGroupInd

1

True

Default

TravelInternationalInd

1

Someone in the household has an interest in Travel International

Default

TruckOwnerInd

1

Yes

Default

TVCableInd

1

Someone in the household has an interest in watching on TV Cable

Default

TVGuideInd

1

Someone in the household has an interest in TV Guides.

Default

TVHDTVSatelliteDishInd

1

Someone in the household has an interest in in TV that’s in HD and from TV that’s from SatelliteDish

Default

TVSatelliteDishInd

1

Someone in the household has an interest in watching TV on Satellite Dish

Default

UpscaleLivingInd

1

True

Default

VehicleDominantLifestyleCode

A

Luxury / Upper Sporty Classification

B

Truck Classification

C

Sport Utility Vehicle Classification

D

Mini-Van Classification

E

Regular Classification (Mid-size / Small)

F

Upper Classification (Mid-size / Large)

G

Basic Sporty Classification

Default

VehicleKnownOwnedNumber

1

1 Car

2

2 Cars

3

3 or More Cars

Default

VehicleNewCarBuyer

Y

True

Default

VehicleNewUsedInd1

N

New

U

Used

Default

VehicleNewUsedInd2

N

New

U

Used

Default

VehicleTypeVehicleCode1

C1

Entry Compact Car

C4

Premium Compact Car

F4

Premium Full-size Car

L1

Entry Luxury Car

L2

Mid-Size Luxury Car

L3

Sports Luxury Car

L4

Premium Luxury Car

M1

Entry Mid-size Car

M4

Premium Mid-size Car

P1

Compact Pickup

P2

Light Duty Full-size Pickup

P3

Heavy Duty Full-size Pickup

P4

Luxury Full-size Pickup

S1

Entry Sports Car

S4

Premium Sports Car

U1

Compact SUV

U2

Mid-size SUV

U3

Full-size SUV

U4

Luxury SUV

V1

Compact Van

V3

Full-size Van

Default

VehicleTypeVehicleCode2

C1

Entry Compact Car

C4

Premium Compact Car

F4

Premium Full-size Car

L1

Entry Luxury Car

L2

Mid-Size Luxury Car

L3

Sports Luxury Car

L4

Premium Luxury Car

M1

Entry Mid-size Car

M4

Premium Mid-size Car

P1

Compact Pickup

P2

Light Duty Full-size Pickup

P3

Heavy Duty Full-size Pickup

P4

Luxury Full-size Pickup

S1

Entry Sports Car

S4

Premium Sports Car

U1

Compact SUV

U2

Mid-size SUV

U3

Full-size SUV

U4

Luxury SUV

V1

Compact Van

V3

Full-size Van

Default

VeteranInd

1

Yes

0

Default

SupportsVeteransInd

1

Yes

0

Default

WaterSportsInd

1

Someone in the household has an interest in water sports.

Default

WaterSportsSubstitutionRank

01

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

02

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

03

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

04

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

05

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

06

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

07

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

08

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

09

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

10

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

11

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

12

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

13

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

14

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

15

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

16

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

17

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

18

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

19

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

20

This element ranks the likelihood a consumer will engage in water sports activities while traveling. 1 - Most Likely and 20 - Least Likely

Default

WirelessCellularPhoneOwnerInd

1

Someone in the household has an interest in owning or buying a wireless cellular phone.

Default

WirelessProductBuyerInd

1

Indicates if anyone in the household purchases wireless products.

Default

WoodWorkingInd

1

Someone in the household has an interest in woodworking.

Default

WorkingWomanInd

Y

Working Woman

Default

YoungAdultinHouseholdAge

Y

Presence of Young Adult

Default

HouseholdAgeCode

1

Age between 18 and 24

2

Age between 25 and 34

3

Age between 35 and 44

4

Age between 45 and 54

5

Age between 55 and 64

6

Age between 65 and 74

7

Age 75

TitlePrefixInd

I

Individual (no title)

0

Ms.

1

Mr.

2

Mrs.

3

Miss

4

Doctor

5

Mr & Mrs

6

Dr & Mrs

7

Hon

8

Rev

9

Other

ConfidenceUseCode

1

Premium Deliverability

2

Secondary Deliverability

3

No First Class Mailings

4

U.S. Territory/Military Addresses

Consumer 2#

Sample File#

Click here to download the sample file.

Layout and Definitions#

Grouping

Column Name

Type

Definition

Address

MelissaAddressKey

bigint

10-digit unique key assigned to each address.

BaseMelissaAddressKey

bigint

Displays the parent Melissa Address Key of an address if it is a part of or within a building. Ex. Apartment

People

FirstName1

char(14)

Primary person’s first name

MiddleNameInitial1

char(1)

Primary person’s middle initial

LastName

char(20)

Primary person’s last name

NameSuffix1

char(2)

Primary person’s name suffix

Address

AddressLine

varchar(75)

Street address

City

varchar(28)

City

State

varchar(2)

State

ZIPCode

varchar(5)

ZIP Code

Plus4

varchar(4)

ZIP plus 4

DeliveryPoint

varchar(2)

A specific location where mail is delivered to an individual or entity. It is a precise point of delivery for a particular address.

AddressKey

varchar(11)

Address key is a combination of a location’s ZIPCode + Plus4 + DeliveryPoint

ResultCodes

varchar(100)

Melissa result codes

AddressStreetNumber

varchar(10)

Address street number. Ex.’6450’

AddressStreetName

varchar(28)

Address street name Ex. ‘Side’

AddressSuiteNumber

varchar(8)

Suite number. Ex. ‘Q’

AddressType

char(1)

Address type. Ex. P.O.Box or residential address

RBDI

char(1)

Address type. Ex. P.O.Box or residential address

CarrierRoute

varchar(4)

The carrier route for the location address assigned by the USPS.

FIPSCode

varchar(5)

The FIPSCode indicates the location of the address at both the state and county level.

FIPSCountyCode

char(3)

County code

RouteDesignatorAndNumber

char(6)

Route designator and number

BoxDesignatorAndNumber

char(15)

Box designator and number

AddressQualityCode

char(1)

Indicates whether an address matched in the delivery sequence file.

SeasonalDeliveryCode

char(1)

Used to denote seasonal delivery. Seasonal delivery is defined as a delivery point that is occupied during one, but less than four of the standard divisions of the year (fall, spring, summer winter)

DeliveryTypeCode

char(1)

Categorizes a delivery point as a residential, business, or other type.

AddressNameCensorCode

char(1)

Address name censor code

Geo

PlaceCode

varchar(7)

Place identifier represented as State FIPS (2) + PlaceFIPS (5)

Latitude

decimal(18,6)

The latitude in decimal degree using the WGS84 datum for the address

Longitude

decimal(18,6)

The longitude in decimal degree using the WGS84 datum for the address

CensusKey

varchar(16)

Census key is a 15 or 16-character key combination of the state FIPS code + county FIPS code + tract number + block number + block suffix. The Census key was created by the US Government to correctly identify, classify, and pull statistical data from areas across the United States.

CensusTractBlockGroup2010

char(7)

2010 census geo tract or block group

FIPSStateCode2010

char(2)

2010 census geo state code

FIPSCountyCode2010

char(3)

2010 census geo county code

CBSACode

char(5)

The core based statistical area where the place is located.

People1Demographic

Gender1

char(1)

The gender of the primary person

Age1

char(3)

The exact age of the primary person

BirthYear1

char(4)

Birth year of the primary person

BirthMonth1

char(2)

Birth month of the primary person

TitleCode1

char(1)

Primary person’s title code

Phone

PhoneNumberAreaCode

char(3)

Phone number area code

PhoneNumber

char(7)

Phone number

FullPhoneNumber

varchar(10)

Full phone number

LandlinePhoneAreaCode

varchar(3)

Phone number area code

LandlinePhoneNumber

varchar(7)

Landline-primary-all available

PhoneType

varchar(1)

Type of phone(landline)-primary-all available

CellPhoneNumber1

varchar(10)

Cell phone number1

CellPhoneNumber2

varchar(10)

Cell phone number2

CellPhoneNumber3

varchar(10)

Cell phone number3

CellPhoneNumber4

varchar(10)

Cell phone number4

SecondaryCellPhoneAreaCode1

varchar(3)

Secondary cell phone area code1

SecondaryCellPhoneNumber1

varchar(7)

Secondary cell phone number1

SecondaryCellPhoneAreaCode2

varchar(3)

Secondary cell phone area code2

SecondaryCellPhoneNumber2

varchar(7)

Secondary cell phone number2

SecondaryCellPhoneAreaCode3

varchar(3)

Secondary cell phone area code3

SecondaryCellPhoneNumber3

varchar(7)

Secondary cell phone number3

SecondaryCellPhoneAreaCode4

varchar(3)

Secondary cell phone area code4

SecondaryCellPhoneNumber4

varchar(7)

Secondary cell phone number4

Email

Email

varchar(450)

Email

EmailResultLevel

int

Email result level

Household

Age0to2Code

char(1)

Children age 0 to 2(enhanced)

Age3to5Code

char(1)

Children age 3 to 5(enhanced)

Age6to10Code

char(1)

Children age 6 to 10(enhanced)

Age11to15Code

char(1)

Children age 11 to 15(enhanced)

Age16to17Code

char(1)

Children age 16 to17(enhanced)

Age18to24Code

char(1)

Age 18 to 24 year old specific(enhanced)

Age25to34Code

char(1)

Age 25 to 34 year old specific(enhanced)

Age35to44Code

char(1)

Age 35 to 44 year old specific(enhanced)

Age45to54Code

char(1)

Age 45 to 54 year old specific(enhanced)

Age55to64Code

char(1)

Age 55 to 64 year old specific(enhanced)

Age65to74Code

char(1)

Age 65 to 74 year old specific(enhanced)

Age75PlusCode

char(1)

Presence of adults age 75 plus specific(enhanced)

AgeUnknownCode

char(1)

Presence of adults unknown age(enhanced)

Under35Ind

char(1)

Age under 35 year old inferred(enhanced)

Age35to44Ind

char(1)

Age 35 to 44 year old inferred(enhanced)

Age45to64Ind

char(1)

Age 45 to 64 year old inferred(enhanced)

Age65PlusInd

char(1)

Age 65 plus year old inferred(enhanced)

NumberOfPersonsinHousehold

char(1)

Advantage household size(enhanced)

NumberOfAdultsinHousehold

char(1)

Advantage number of adults

AdvantageNumberOfAdultsInd

char(1)

Advantage number of adults indicator

NumberOfChildreninHousehold

char(1)

Number of children in household(enhanced)

PresenceOfChildren

char(1)

Advantage presence of children(enhanced)

PresenceOfChildrenInd

char(1)

Advantage presence of children indicator(enhanced)

TargetNetWorth

char(1)

Target net worth2.0

HouseholdsMedianHouseholdIncome

char(6)

Households: median household income

HouseholdAgeCode

char(1)

Advantage household age code(enhanced)

HouseholdTypeCode

char(2)

Household type/family composition(enhanced)

AdvantageHouseholdAgeInd

char(1)

Advantage household age indicator(enhanced)

AdvantageHouseholdSizeInd

char(1)

Advantage household size indicator(enhanced)

HouseholdVerificationDate

char(6)

Verification date of household

Occupation

char(2)

Occupation

MaritalStatusCode

char(1)

Advantage household marital status

LengthOfResidence

char(1)

Advantage length of residence

AdvantageLengthOfResidenceInd

char(1)

Advantage length of residence indicator

AdvantageHomeOwnerInd

char(1)

Advantage home owner indicator

AdvantageHouseholdMaritalStatusInd

char(1)

Advantage household marital status indicator

EstimatedHomeIncomePredictor

char(1)

Advantage target income2.0

AdvantageHouseholdIncomeIdentifierInd

char(1)

Advantage target income indicator2.0

FamiliesPercentHouseholdIwthOwnChildren

char(2)

Families: %households with own children

PopulationPercentWhiteAlone

char(2)

The percentage of the white population

AvailableHomeEquityInThousands

char(4)

Available home equity in thousands

AvgVehiclesPerOccupiedUnit

char(3)

Occupied housing units: avg. number of vehicles available

Property

DwellingType

char(1)

Advantage dwelling type

AdvantageDwellingTypeInd

char(1)

Advantage dwelling type indicator

HomeOwnerRenterCode

char(1)

Advantage home owner

MedianValueOwnerOccupiedHousingUnits

char(7)

Median value, owner-occupied housing units

YearHomeBuilt

char(4)

Year home built

LivingAreaSquareFootageRange

char(1)

Living area square footage range

LotCode

char(1)

Property lot size in acres

HomeSaleDate

char(6)

Home sale date

HomeSalePriceinThousands

char(4)

Home sale price(in thousands)

HomeMarketValueTaxRecord

char(4)

Home market value(tax record)

MortgageDate

char(6)

Mortgage date

OriginalMortgageAmount

char(4)

Original mortgage amount

FirstMortgageAmountInThousands

char(4)

First mortgage amount in thousands

SecondMortgageAmountinThousands

char(4)

Second mortgage amount in thousands

MortgageLoantypeorRefinance

char(1)

Mortgage loan type (or refinance)

MortgageInterestRateorRefinance

char(4)

Mortgage interest rate (or refinance)

MortgageInterestRateTypeorRefinance

char(1)

Mortgage interest rate type (or refinance)

RefinanceInd

char(1)

Refinance indicator

HomeEquityLoanDate

char(6)

Home equity loan date

HomeEquityLoaninThousands

char(4)

Home equity loan in thousands

HomeEquityLoanInd

char(1)

Home equity loan indicator

TargetHomeMarketValueOrig

char(5)

Target home market value

TargetHomeMarketValue

char(5)

Target home market value

TargetHomeMarketValueType

char(1)

Target home market value type

HousingUnitsPercentOwnerOccupied

char(2)

Housing units: %owner occupied housing units

HousingUnitsPercentOneUnitDetached

char(2)

Housing units: %1 unit detached

HousingUnitsPercentBuilt2000To2004

char(2)

Housing units percent built2000 to2004

HousingUnitsPercentBuilt2005OrLater

char(2)

Housing units percent built2005 or later

CreditCard

TypeOfCreditCardAmericanExpress

char(1)

Type of credit card-american express

TypeOfCreditCardAnyCreditCard

char(1)

Type of credit card-any credit card

CreditCardUsageBankCard

char(1)

Type of credit card-bank card

TypeOfCreditCardCatalogShowroom

char(1)

Type of credit card-catalog showroom

TypeOfCreditCardComputerElectronic

char(1)

Type of credit card-computer/electronic

TypeOfCreditCardDebitCard

char(1)

Type of credit card-debit card

CreditCardUsageFinanceCoCard

char(1)

Type of credit card-finance co card

TypeOfCreditCardFurniture

char(1)

Type of credit card-furniture

TypeOfCreditCardGrocery

char(1)

Type of credit card-grocery

TypeOfCreditCardHomeImprovement

char(1)

Type of credit card-home improvement

TypeOfCreditCardHomeOfficeSupply

char(1)

Type of credit card-home/office supply

TypeOfCreditCardLowEndDepartmentStore

char(1)

Type of credit card-low end department store

TypeOfCreditCardMainStreetRetail

char(1)

Type of credit card-main street retail

TypeOfCreditCardMastercard

char(1)

Type of credit card-Mastercard

TypeOfCreditCardMembershipWarehouse

char(1)

Type of credit card-membership warehouse

CreditCardUsageMiscellaneous

char(1)

Type of credit card-miscellaneous

CreditCardUsageOilGasCard

char(1)

Type of credit card-oil + gas card

TypeOfCreditCardSpecialtyApparel

char(1)

Type of credit card-specialty apparel

TypeOfCreditCardSportingGoods

char(1)

Type of credit card-sporting goods

CreditCardUsageStandardRetail

char(1)

Type of credit card-standard retail

CreditCardUsageStandardSpecialtyCard

char(1)

Type of credit card-standard specialty card

CreditCardUsageTravelEntertainment

char(1)

Type of credit card-travel+entertainment

TypeOfCreditCardTVMailOrder

char(1)

Type of credit card-TVmail order

CreditCardUsageUpscaleRetail

char(1)

Type of credit card-upscale retail

CreditCardUsageUpscaleSpecRetail

char(1)

Type of credit card-upscale spec retail

TypeOfCreditCardVisa

char(1)

Type of credit card-visa

MISC

StatusCodeOfRecords

char(1)

Record quality code

FileCode

char(1)

File code

Fraction

char(3)

Fraction

PostOfficeName

char(13)

Post office name

Niches2

char(3)

Niches2

MailResponsiveBuyerInd

char(1)

Mail order buyer

People2Demographic

FirstName2

char(14)

Secondary person’s first name

MiddleNameInitial2

char(1)

Secondary person’s middle initial

Gender2

char(1)

Secondary person’s gender

Age2

char(3)

The exact age of the secondary person

BirthYear2

char(4)

Birth year of the secondary person

BirthMonth2

char(2)

Birth month of the secondary person

TitleCode2

char(1)

Secondary person’s title code

People3Demograhpic

FirstName3

char(14)

Tertiary person’s first name

MiddleNameInitial3

char(1)

Tertiary person’s middle name

Gender3

char(1)

Tertiary person’s gender

Age3

char(3)

The exact age of tertiary person

BirthYear3

char(4)

Birth year of the tertiary person

BirthMonth3

char(2)

Birth month of the tertiary person

People4Demograhpic

FirstName4

char(14)

Quaternary person’s first name

MiddleNameInitial4

char(1)

Quaternary person’s middle name

Gender4

char(1)

Quaternary person’s gender

Age4

char(3)

The exact age of the quaternary person

BirthYear4

char(4)

Birth year of the quaternary person

BirthMonth4

char(2)

Birth month of the quaternary person

People5Demograhpic

FirstName5

char(14)

Quinary person’s first name

MiddleNameInitial5

char(1)

Quinary person’s middle name initial

Gender5

char(1)

Quinary person’s gender

Age5

char(3)

The exact age of the quinary person

BirthYear5

char(4)

Birth year of the quinary person

BirthMonth5

char(2)

Birth month of the quinary person

Code and Definitions#

Column Name

Code

Definition

CreditCardUsageBankCard

No/Unknown

Y

Yes

CreditCardUsageFinanceCoCard

No/Unknown

Y

Yes

CreditCardUsageMiscellaneous

No/Unknown

Y

Yes

CreditCardUsageOilGasCard

No/Unknown

Y

Yes

CreditCardUsageStandardRetail

No/Unknown

Y

Yes

CreditCardUsageStandardSpecialtyCard

No/Unknown

Y

Yes

CreditCardUsageTravelEntertainment

No/Unknown

Y

Yes

CreditCardUsageUpscaleRetail

No/Unknown

Y

Yes

CreditCardUsageUpscaleSpecRetail

No/Unknown

Y

Yes

TypeOfCreditCardAnyCreditCard

No/Unknown

Y

Yes

TypeOfCreditCardCatalogShowroom

No/Unknown

Y

Yes

TypeOfCreditCardComputerElectronic

No/Unknown

Y

Yes

TypeOfCreditCardDebitCard

No/Unknown

Y

Yes

TypeOfCreditCardFurniture

No/Unknown

Y

Yes

TypeOfCreditCardGrocery

No/Unknown

Y

Yes

TypeOfCreditCardHomeImprovement

No/Unknown

Y

Yes

TypeOfCreditCardHomeOfficeSupply

No/Unknown

Y

Yes

TypeOfCreditCardLowEndDepartmentStore

No/Unknown

Y

Yes

TypeOfCreditCardMainStreetRetail

No/Unknown

Y

Yes

TypeOfCreditCardMastercard

No/Unknown

Y

Yes

TypeOfCreditCardMembershipWarehouse

No/Unknown

Y

Yes

TypeOfCreditCardSpecialtyApparel

No/Unknown

Y

Yes

TypeOfCreditCardSportingGoods

No/Unknown

Y

Yes

TypeOfCreditCardTVMailOrder

No/Unknown

Y

Yes

TypeOfCreditCardVisa

No/Unknown

Y

Yes

TypeOfCreditCardAmericanExpress

No/Unknown

Y

Yes

FIPSStateCode2010

01

Alabama

02

Alaska

04

Arizona

05

Arkansas

06

California

08

Colorado

09

Connecticut

10

Delaware

11

Washington, DC

12

Florida

13

Georgia

15

Hawaii

16

Idaho

17

Illinois

18

Indiana

19

Iowa

20

Kansas

21

Kentucky

22

Louisiana

23

Maine

24

Maryland

25

Massachusetts

26

Michigan

27

Minnesota

28

Mississippi

29

Missouri

30

Montana

31

Nebraska

32

Nevada

33

New Hampshire

34

New Jersey

35

New Mexico

36

New York

37

North Carolina

38

North Dakota

39

Ohio

40

Oklahoma

41

Oregon

42

Pennsylvania

44

Rhode Island

45

South Carolina

46

South Dakota

47

Tennessee

48

Texas

49

Utah

50

Vermont

51

Virginia

53

Washington

54

West Virginia

55

Wisconsin

56

Wyoming

AddressQualityCode

0

Address Matched DSF2

2

Address did not match to DSF2

9

Record did not DSF2 code, but has at least a carrier route applied

AddressType

A

Alias

F

Firm or Company Address

G

General Delivery Address

H

High Rise or Business Complex

P

P.O. Box Address

R

Rural Route Address

S

Street or Residential Address

U

Unique

Z

Unique

DwellingType

0

Unknown

1

SFDU

2

MFDU

3

Business

5

Condo

6

Mobile Home

AdvantageDwellingTypeInd

S

Household Specific

AdvantageHomeOwnerInd

H

Household Inferred

S

Household Specific

AdvantageHouseholdAgeInd

H

Household Inferred

S

Household Specific

AdvantageHouseholdIncomeIdentifierInd

H

Inferred

S

Specific

AdvantageHouseholdMaritalStatusInd

H

Household Inferred

S

Household Specific

AdvantageHouseholdSizeInd

H

Household Inferred

S

Household Specific

AdvantageLengthOfResidenceInd

S

Household Specific

AdvantageNumberOfAdultsInd

H

Household Inferred

S

Household Specific

Age18to24Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age25to34Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age35to44Ind

1

Adult Present

Not Available

Age35to44Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age45to54Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age45to64Ind

1

Adult Present

Not Available

Age55to64Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age65to74Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age75PlusCode

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

AgeUnknownCode

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age0to2Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

None Present or Not Available

Age11to15Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age16to17Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age3to5Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

Age6to10Code

1

Male present

2

Female present

3

Male and Female present

4

Unknown Gender present

5

Male and Unknown Gender present

6

Female and Unknown Gender present

7

Male, Female and Unknown Gender present

None Present or Not Available

DeliveryTypeCode

B

Business Delivery included in USPS Delivery Statistics

R

Residential Delivery included in USPS Delivery Statistics

X

Business Delivery excluded from USPS Delivery Statistics

Unknown

SeasonalDeliveryCode

B

Both Seasonal and Educational Delivery

E

Educational Delivery

N

Not Seasonal Delivery

Y

Seasonal Delivery

Not Available

EstimatedHomeIncomePredictor

1

$ 0 - $ 14,999

2

$15,000 - $19,999

3

$20,000 - $29,999

4

$30,000 - $39,999

5

$40,000 - $49,999

6

$50,000 - $74,999

7

$75,000 - $99,999

8

$100,000 - $124,999

9

$125,000 - $149,999

A

$150,000 - $174,999

B

$175,000 - $199,999

C

$200,000 - $249,999

D

$250,000 or More

FileCode

P

Production - Best records for mailing and telemarketing. They must have been verified within the past 24 months and meet DPVTM and ZIP + 4 coding criteria as required by the U.S.P.S.

S

Supplemental - May be used for mailing with caution, not for TM, but are often used for data appending. Most records have not been verified within the last 24 months, though there could be other reasons for not including them on our Production file.

T

Telemarketing File - May not be used for mailing purposes, Telemarketing only.

Gender1

1

Male

2

Female

Blank

Not Available

Gender2

1

Male

2

Female

Blank

Not Available

Gender3

1

Male

2

Female

Not Available

Gender4

1

Male

2

Female

Not Available

Gender5

1

Male

2

Female

Not Available

HomeOwnerRenterCode

0

Unknown

1

Definite Renter

2

Probable Renter

3

Probable Owner

4

Definite Owner

HouseholdAgeCode

1

18-24 years old

2

25-34 years old

3

35-44 years old

4

45-54 years old

5

55-64 years old

6

65-74 years old

7

75+ years old

HouseholdsMedianHouseholdIncome

000000-025000

0 to 25,000

025001-050000

25,001 to 50,000

050001-075000

50,001 to 75,000

075001-100000

75,001 to 100,000

100001-125000

100,001 to 125,000

125001-150000

125,001 to 150,000

150001-200000

150,001 to 200,000

200001-250000

200,001 to 250,000

250001-500000

250,001 to 500,000

500001 and higher

500,001 and higher

HouseholdTypeCode

01

01 = Married, husband and wife present, with children under age 18 present. This code is used only if one of our sources specified married household.

02

02 = Married, husband and wife present, with NO children under age 18 present. This code is used only if one of our sources specified married household.

03

03 = Two persons, one male and one female, marital status unknown, with children under age 18 present.

04

04 = Two persons, one male and one female, marital status unknown, with NO children under age 18 present.

05

05 = Male householder with one or more other persons of any gender, with children under age 18 present.

06

06 = Male householder with one or more persons of any gender, with NO children under age 18 present.

07

07 = Female householder with one or more other persons of any gender, with children under age 18 present.

08

08 = Female householder with one or more other persons of any gender, with NO children under age 18 present.

09

09 = Two or more persons of unknown gender with children under age 18 present.

10

10 = Two or more persons of unknown gender with NO children under age 18 present.

11

11 = One person, male householder, with children under age 18 present.

12

12 = One person, male householder, with NO children under age 18 present.

13

13 = One person, female householder, with children under age 18 present.

14

14 = One person, female householder, with NO children under age 18 present.

15

15 = One person, unknown gender, with children under age 18 present.

16

16 = One person, unknown gender, with NO children under age 18 present.

LengthOfResidence

1

0-6 mos.

2

7-12 mos.

3

1-2 yrs

4

3-5 yrs

5

6-10 yrs

6

11-15 yrs

7

16-20 yrs

8

20+ yrs

LivingAreaSquareFootageRange

A

Less than 750 sq. ft.

B

750 - 999 sq. ft.

C

1,000 - 1,249 sq. ft.

D

1,250 - 1,499 sq. ft.

E

1,500 - 1,749 sq. ft.

F

1,750 - 1,999 sq. ft.

G

2,000 - 2,499 sq. ft.

H

2,500 ? 2,999 sq. ft.

I

3,000 - 3,499 sq. ft.

J

3,500 - 3,999 sq. ft.

K

4,000 - 4,999 sq. ft.

L

5,000 - 5,999 sq. ft.

M

6,000 - 6,999 sq. ft.

N

7,000 and over sq. ft.

Z

Unable to assign

No Data Present

LotCode

A

< .26 acres

B

.26 - .59 acres

C

.60 - .99 acres

D

1 acre

E

2 acres

F

3 acres

G

4 acres

H

5 acres

I

6 - 10 acres

J

11 - 20 acres

K

21 - 40 acres

L

> 40 acres

MailResponsiveBuyerInd

Y

Yes

No

MaritalStatusCode

1

At least 1 married

2

At least 1 single

3

Both married and single

MedianValueOwnerOccupiedHousingUnits

000000-025000

0 to 25,000

025001-050000

25,001 to 50,000

050001-075000

50,001 to 75,000

075001-100000

75,001 to 100,000

100001-125000

100,001 to 125,000

125001-150000

125,001 to 150,000

150001-200000

150,001 to 200,000

200001-250000

200,001 to 250,000

250001-500000

250,001 to 500,000

500001 and higher

500,001 and higher

MortgageInterestRateTypeorRefinance

F

Fixed Rate Loan

G

Graduated Payment Loan

V

Variable Rate Loan

MortgageLoantypeorRefinance

C

Conventional

F

Federal Housing Authority

N

New Construction

V

Veterans Administration

Blank

NumberOfAdultsinHousehold

1

One adult

2

Two adult

3

Three adult

4

Four adult

5

Five adult

NumberOfChildreninHousehold

1

One child

2

Two children

3

Three children

4

Four children

5

Five children

6

Six children

7

Seven children

8

Eight children

9

Nine or more children

Unknown number of children

NumberOfPersonsinHousehold

1

One person

2

Two persons

3

Three persons

4

Four persons

5

Five persons

6

Six persons

7

Seven persons

8

Eight persons

9

Nine or more persons

Occupation

00

Unknown/No Data

01

Physician/Dentist

02

Health Care

03

Lawyers/Judges

05

Professional/Technical

06

Management

07

Teacher Educator

08

Sales/Marketing

09

Clerical/Service Worker

10

Tradesman/Machine Oper / Laborer

11

Farmer

12

Student

13

Homemaker

14

Retired

15

Federal Employee

16

Federal Employee Retired

17

Military

18

Military Retired

19

Other

20

Business Owner

Age65PlusInd

1

Adult Present

Not Available

Under35Ind

1

Adult Present

Not Available

PresenceOfChildren

0

No children present

1

Yes children present

PresenceOfChildrenInd

H

Household Inferred

S

Household Specific

TitleCode1

1

Mr

2

Mrs with male name

3

Miss or Ms

4

Mrs

5

Dr

6

Rev

TitleCode2

1

Mr

2

Mrs with male name

3

Miss or Ms

4

Mrs

5

Dr

6

Rev

StatusCodeOfRecords

1

Highest Quality Mailable

2

Mailable, no match to DPV TXL Prod w/CR

3

Phone Only

TargetHomeMarketValueType

S

Specific

H

Household Inferred

TargetNetWorth

0

Less than $25k

1

$25,000 - $49,999

2

$50,000 - $74,999

3

$75,000 - $99,999

4

$100,000 - $149,999

5

$150,000 - $249,999

6

$250,000 - $499,999

7

$500,000 - $749,999

8

$750,000 - $999,999

9

$1,000,000 or More

PhoneType

L

Landline

V

VOIP

Blank

LevelCode

1

Zip

2

Tract

3

BlkGrp

PrimaryGender

1

Male

2

Female

Niches2

A1

A1 - Already Affluent

A2

A2 - Already Affluent

A3

A3 - Already Affluent

A4

A4 - Already Affluent

A5

A5 - Already Affluent

A6

A6 - Already Affluent

A7

A7 - Already Affluent

A8

A8 - Already Affluent

B1

B1 - Big Spender Parents

C1

C1 - Chic Society

C2

C2 - Chic Society

C3

C3 - Chic Society

C4

C4 - Chic Society

D1

D1 - Doing Well and Donating

E1

E1 - Easy Street

E2

E2 - Easy Street

E3

E3 - Easy Street

E4

E4 - Easy Street

E5

E5 - Easy Street

E6

E6 - Easy Street

E7

E7 - Easy Street

E8

E8 - Easy Street

E9

E9 - Easy Street

F1

F1 - Feathering-the-Nest

F2

F2 - Feathering-the-Nest

F3

F3 - Feathering-the-Nest

F4

F4 - Feathering-the-Nest

G1

G1 - Go-Go Families

G2

G2 - Go-Go Families

G3

G3 - Go-Go Families

G4

G4 - Go-Go Families

H1

H1 - Home Hoppers

H2

H2 - Home Hoppers

H3

H3 - Home Hoppers

H4

H4 - Home Hoppers

H5

H5 - Home Hoppers

H6

H6 - Home Hoppers

I1

I1 - IRA Spenders

I2

I2 - IRA Spenders

J1

J1 - Just Sailing Along

J2

J2 - Just Sailing Along

J3

J3 - Just Sailing Along

J4

J4 - Just Sailing Along

J5

J5 - Just Sailing Along

J6

J6 - Just Sailing Along

K1

K1 - Kiddie Kastles

K2

K2 - Kiddie Kastles

K3

K3 - Kiddie Kastles

K4

K4 - Kiddie Kastles

K5

K5 - Kiddie Kastles

K6

K6 - Kiddie Kastles

L1

L1 - Loose Change

L2

L2 - Loose Change

L3

L3 - Loose Change

M1

M1 - Mid-Life Munchkins

N1

N1 - Nice and Easy Living

N2

N2 - Nice and Easy Living

N3

N3 - Nice and Easy Living

O1

O1 - Oodles of Offspring

O2

O2 - Oodles of Offspring

O3

O3 - Oodles of Offspring

O4

O4 - Oodles of Offspring

O5

O5 - Oodles of Offspring

O6

O6 - Oodles of Offspring

O7

O7 - Oodles of Offspring

O8

O8 - Oodles of Offspring

P1

P1 - Parks, Parts and Playgrounds

P2

P2 - Parks, Parts and Playgrounds

P3

P3 - Parks, Parts and Playgrounds

Q1

Q1 - Quiet Homebodies

Q2

Q2 - Quiet Homebodies

Q3

Q3 - Quiet Homebodies

Q4

Q4 - Quiet Homebodies

Q5

Q5 - Quiet Homebodies

R1

R1 - Resourceful Realists

R2

R2 - Resourceful Realists

R3

R3 - Resourceful Realists

R4

R4 - Resourceful Realists

R5

R5 - Resourceful Realists

S1

S1 - Still Going Strong

S10

S10 - Still Going Strong

S2

S2 - Still Going Strong

S3

S3 - Still Going Strong

S4

S4 - Still Going Strong

S5

S5 - Still Going Strong

S6

S6 - Still Going Strong

S7

S7 - Still Going Strong

S8

S8 - Still Going Strong

S9

S9 - Still Going Strong

T1

T1 - Tireless and On The Move

T2

T2 - Tireless and On The Move

U1

U1 - Undaunted Do It Yourselfers

U2

U2 - Undaunted Do It Yourselfers

U3

U3 - Undaunted Do It Yourselfers

U4

U4 - Undaunted Do It Yourselfers

V1

V1 - Value Focused

V2

V2 - Value Focused

W1

W1 - Working Hard

W2

W2 - Working Hard

W3

W3 - Working Hard

X1

X1 - X-Tra Time on Their Hands

X2

X2 - X-Tra Time on Their Hands

X3

X3 - X-Tra Time on Their Hands

Y1

Y1 - Young-at-Heart

Y2

Y2 - Young-at-Heart

Y3

Y3 - Young-at-Heart

Z1

Z1 - Zone of Contentment

Z2

Z2 - Zone of Contentment