Integrating Multi-Level Social Determinants of Health Data
This presentation discusses linkage strategies to integrate multi-level social determinants of health (SDoH) data, covering the domains of economic stability, education, health care access, neighborhood and built environment, and social and community context. It explores current integration strategies, access methods, and pilot analysis plans.
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Presentation Transcript
Linkage strategies to integrate multi-level social determinants of health (SDoH) data Xing Song, PhD University of Missouri
Agenda What is SDoH Current linkage and integration strategy Accessing SDoH on GROUSE Acxiom household- and individual-level SDOH Plan for pilot analysis
What is SDOH The U.S. Department of Health and Human Services's Healthy People 2030 project groups SDoH into five domains: Economic Stability Education Access and Quality Health Care Access and Quality Neighborhood and Built Environment Social and Community Context Healthy People 2030, U.S. Department of Health and Human Services, Office of Disease Prevention and Health Promotion.
SDOH Domains Economic Stability Opportunities for steady employment Affordability of food, housing, health care and education Education Access and Quality Access to high-performing schools Barriers to participation in school Access to postsecondary education such as trade schools or colleges Health Care Access and Quality Access to insurance Access to a primary care provider Access to preventive care Proximity to qualified providers, pharmacies, and medical supply stores Neighborhood and Built Environment Rates of violence and exposure to crime Safety of air quality and water levels Exposure to hazards like noise and secondhand smoke Access to healthy food and opportunities to exercise Social and Community Context Social supports within the community Civic participation Discrimination and structural racism Workplace conditions Rates of incarceration
Current strategy of integrating SDOH Current state-of-the-art method for integrating SDOH data is still mostly based on community-level summaries Distressed Communities Index (ES) Zip code EIG 7 Medically Underserved Area (HCA) County HRSA 1 Social Vulnerability Indices (A) Census tract, county CDC, UCA 2 Economic Stability; Education Access; Health Care Access; Neighborhood and Built Environment; Social and Community Context Food Access Research Atlas (ES) Census tract ERS 140 Rural-Urban Commuting Area codes (SCC) Census tract ERS 2 Smart Location Data (NBE) Census tract EPA 80 Social Deprivation Index (SCC) Census tract RGC 1 American Community Survey (ACS)(ES, EA, HCA, NBE. SCC) Census block group CB 3,263 National Health and Nutrition Examination Survey (NBE, SCC) Census block group CDC 200 Area Deprivation Index (ES) Census block group HRSA 1
Accessing SDoH on GROUSE Current deployed resources: Neighborhood Atlas Area Deprivation Index (2020) By-product: zip+4 -> census block group mapping Curated SDoH dataset from Nebraska CRANE database Bird Index (ACS derivative) 55 calucated ACS (2019) variables mapped to SNOMED RUCA (2010) Current deployment strategy integrating into CDM Link to ADDRESS_HISTORY by GEOCODEID (census block group, census tract, zip) OBS_COMM
Query Example - Extract OBS_COMM variables at census tract level - Extract OBS_COMM variables at census block group level
Household- or Individual-level SDoH Limitation of community-level SDoH Reduce variation 14M beneficiary, 5.5M unique zip+4, 163K unique census block group codes Ecological fallacy when inferences about the nature of individuals are deduced from inferences about the group to which those individuals belong From existing sources Extraction from EHR or Claim data Health Insurance Coverage Status (ES, HCA) Individual CMS, EHR 2 Medicaid Eligibility (ES, HCA) Individual CMS 1 Medicare State-Buy-in Amount (ES, HCA) Individual CMS 1 Integration of external sources? Acxiom LexisNexis
Acxiom InfoBase Acxiom is one of the largest consumer database Data sources public records, such as property ownership or professional licenses. consumer surveys, magazine subscriber lists, catalogs, and warranty cards summary reports about retail purchases voter registration records, criminal records Attribute Selection
Acxiom Selected Attributes Activities & Interests Interests - Food Cooking Household Interests Cooking - Low Fat Someone in the household has an interest in low fat cooking. Activities & Interests Interests - Food Cooking Household Interests Foods - Vegetarian Someone in the household has an interest in vegetarian food. Activities & Interests Interests - Food Cooking Someone in the household has an interest in natural or organic foods. Household Interests Foods - Natural Activities & Interests Someone in the household has an interest in religion / inspirational. Household Interests Interests - General Religious/Inspirational Activities & Interests Interests - General - Causes Causes Supported Financially - Charitable Indicates that the household financially supports charitable causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Animal Welfare Indicates that the household financially supports animal welfare causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Arts or Cultural Indicates that the household financially supports arts or cultural causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Childrens Indicates that the household financially supports children's causes. Household Interests
Acxiom Selected Attributes Activities & Interests Interests - General - Causes Causes Supported Financially - Environment or Wildlife Indicates that the household financially supports environment or wildlife causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - HealthIndicates that the household financially supports health- related causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - International Aid Indicates that the household financially supports international aid-related causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Political Indicates that the household financially supports political causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Politically Conservative Indicates that the household financially supports conservative political causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Politically Liberal Indicates that the household financially supports liberal political causes. Household Interests Activities & Interests Interests - General - Causes Causes Supported Financially - Religious Indicates that the household financially supports religious causes. Household Interests
Acxiom Selected Attributes Interests - General - Causes Causes Supported Financially - VeteransIndicates that the household financially supports veteran-related causes. Household Activities & Interests Interests Interests - General - Causes Causes Supported Financially - Other Household Activities & Interests Interests Indicates that the household financially supports other community causes. Grouping means that weve taken all the "Sports" interest related elements and put them into one element. If any one of the following elements are flagged for a record, then the Sports Grouping element will be flagged as well: 7781 Spectator Sports - Auto / Motorcycle Racing 7782 Spectator Sports - Football 7783 Spectator Sports - Baseball 7784 Spectator Sports - Basketball 7785 Spectator Sports - Hockey 7786 Spectator Sports - Soccer 7787 Spectator Sports - Tennis 7810 Tennis 7811 Golf 7813 Motorcycling 7847 NASCAR 8274 Exercise - Sporty Living 8315 Power Boating Grouping means that weve taken all the "Outdoor" interest related elements and put them into one element. If any one of the following elements are flagged for a record, then the Outdoors Grouping element will be flagged as well: 7802 Fishing 7803 Camping / Hiking 7804 Hunting / Shooting 7805 Boating / Sailing 7806 Water Sports 7807 Scuba Diving 7808 Biking / Mountain Biking 7812 Snow Skiing 7814 Equestrian Grouping means that weve taken all the "Exercise / Health" interest related elements and put them into one element. If any one of the following elements are flagged for a record, then the Exercise/Health Grouping element will be flagged as well: 7750 Exercise - Running / Jogging 7751 Exercise - Walking 7752 Exercise - Aerobic 7770 Health / Medical 7808 Biking / Mountain Biking 8274 Sporty Living 7771 Dieting / Weight Loss Grouping means that weve taken all the "Home Improvement" interest related elements and put them into one element. If any one of the following elements are flagged for a record, then the Home Improvement Grouping element will be flagged as well: 7815 Home Furnishings / Decorating 7816 Home Improvement 7851 Home Improvement - Do-It-Yourselfers 8272 DIY Living This household has a cholesterol interest because they have purchased cholesterol focused products or indicated someone in the household has a cholesterol focus. The element does not fall under HIPAA regulations. The data is based on self-reported data and over-the-counter purchases, NOT from drug prescriptions or medical records. The data can be used for marketing and segmentation purposes. Household Activities & Interests Interests Interests - Groupings Sports Grouping Household Activities & Interests Interests Interests - Groupings Outdoors Grouping Exercise/Health Grouping Household Activities & Interests Interests Interests - Groupings Home Improvement Grouping Household Activities & Interests Interests Interests - Groupings Interests - Health BeautyHealth - Cholesterol Household Activities & Interests Interests Focus in Household
Acxiom Selected Attributes This household has a diabetic interest because they have purchased diabetic products, subscribe to an online diabetic newsletter, have registered to receive diabetic offers, or they indicated that someone in the household has diabetes. The element does not fall under HIPAA regulations. The data is based on self-reported data and over-the-counter purchases, NOT from drug prescriptions or medical records. The data can be used for marketing and segmentation purposes. These promotional responders all subscribe to an online health newsletter focusing on Diabetic News and Health Tips or have registered to receive multiple health and other diabetic offer. This household has a homeopathic interest because they have purchased homeopathic products or indicated someone in the household has homeopathic interests. The element does not fall under HIPAA regulations. The data is based on self-reported data and over- the-counter purchases, NOT from drug prescriptions or medical records. The data can be used for marketing and segmentation purposes. This household has an Organic interest because they have purchased organic products or indicated someone in the household has an organic interest. The element does not fall under HIPAA regulations. The data is based on self-reported data and over-the-counter purchases, NOT from drug prescriptions or medical records. The data can be used for marketing and segmentation purposes. This household has an orthopedic interest because they have purchased orthopedic products or indicated someone in the household has an orthopedic interest. The element does not fall under HIPAA regulations. The data is based on self-reported data and over- the-counter purchases, NOT from drug prescriptions or medical records. The data can be used for marketing and segmentation purposes. Interests - Health Beauty Health - Diabetic Interest in Household Household Activities & Interests Interests Interests - Health Beauty Health - Homeopathic Interest in Household Household Activities & Interests Interests Interests - Health Beauty Health - Organic Focus in Household Household Activities & Interests Interests Interests - Health Beauty Health - Orthopedic Interest in Household Household Activities & Interests Interests Interests - Health Beauty Household Activities & Interests Interests Dieting/Weight Loss Someone in the household has an interest in dieting / weight loss. Interests - Health Beauty Household Activities & Interests Interests Self Improvement Someone in the household has an interest in self improvement. Green Living represents households that are living environmentally friendly. They use environmentally healthy products and services such as, eco-friendly soaps, detergents, and household cleaning products. These households eat organic foods, and potentially grow the food themselves. They may also be socially active by donating funds to environmental causes. Some of them drive vehicles that are considered "green" or hybrids. Household Activities & Interests Interests Interests - Lifestyle Green Living
Acxiom Selected Attributes Activities & Interests Interests - Sports Leisure Exercise - Running/Jogging Household Interests Someone in the household has an interest in running/jogging for exercise. Activities & Interests Interests - Sports Leisure Household Interests Exercise - Walking Someone in the household has an interest in walking for exercise. Activities & Interests Interests - Sports Leisure Household Interests Exercise - Aerobic Someone in the household has an interest in aerobic exercise. Activities & Interests Interests - Sports Leisure Household Interests Woodworking Someone in the household has an interest in woodworking. Activities & Interests Interests - Sports Leisure Someone in the household has an interest in owning a cat or actually owns a cat. Household Interests Cat Owner Activities & Interests Interests - Sports Leisure Someone in the household has an interest in owning a dog or actually owns a dog. Household Interests Dog Owner Activities & Interests Interests - Sports Leisure Household Interests Fishing Someone in the household has an interest in fishing.
Acxiom Selected Attributes Activities & Interests Interests - Sports Leisure Household Interests Camping/Hiking Someone in the household has an interest in camping / hiking. Activities & Interests Interests - Sports Leisure Household Interests Hunting/Shooting Someone in the household has an interest in hunting / shooting. Activities & Interests Interests - Sports Leisure Household Interests Boating/Sailing Someone in the household has an interest in boating / sailing. Activities & Interests Interests - Sports Leisure Biking/Mountain Biking Household Interests Someone in the household has an interest in biking / mountain biking. Activities & Interests Interests - Sports Leisure Household Interests Snow Skiing Someone in the household has an interest in snow skiing. Activities & Interests Someone in the household has an interest in working on vehicles and mechanics. Household Interests Interests - Vehicle Auto Work Activities & Interests Household Interests Interests - Vehicle Motorcycling Someone in the household has an interest in riding motorcycles.
Acxiom Selected Attributes Household Activities & Interests Interests Smoking Smoking/Tobacco Someone in the household has an interest in smoking / tobacco. Interests - Books Mags Household Activities & Interests Interests Reading - General Someone in the household has a general interest in reading. Interests - Food CookingFood - Wines Household Activities & Interests Interests Someone in the household has an interest in wines. Interests - General 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. Household Activities & Interests Interests Career Indicates the known number of children in the household. Includes modeled/inferred data added to the value of '0 Number of Children' and includes the mode of the ZIP9 and ZIP to extend the coverage to 100%. This element includes 2 fields, 7602_01 which indicates the number of children, and 7602_02 which is the precision indicating the level of data that was appended. This 7602 Number of Children includes a calculated mode of Number of Children from the ZIP9 and ZIP which brings the coverage up to 100%. The basis of this element is 9602 Number of Children PLUS. Calculating the mode of the ZIP9 and ZIP can add data to all Number of Children values. NOTE: For the HOUSEHOLD LEVEL children's data: The children's names are not provided by the sources. The logic gathers the children's ages from across all the sources into a table to net the data to only the children's ages that exist in a household. Proprietary logic calculates the netting. The resulting ages are then populated into the children's age elements, then counted to populate the number of children element and the presence of children element. Sources that provide an actual Number of Children also contribute. NOTE: Household level Children's age less than age 16 and gender data in the state of California will have reduced coverage due to the California Consumer Privacy Act (CCPA) regulations. Household, ZIP+4, ZIP Child - Number 3 Number of Children - 100% Demographics Children Number of Children - 100% - Precision Level Household, ZIP+4, ZIP Child - Number 3 Demographics Children Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP The CPI score is a representation of the amount of individual data available per consumer. The score illuminates depth of data available for a person, and provides an easy-to-use relative measure of how active a person is in the marketplace. The CPI rules are proprietary, but in general a set of business rules is used to calculate this element. A count is generated from the number of frequently updated sources for some of the person-level data, and then that count is pushed into buckets of 01-10. Consumer Prominence Indicator Person Demographics CPI CPI
Acxiom Selected Attributes Education - 0 Person Education Detail - Person Indicates the highest known education of the person. Includes 'Some College' and 'Some High School'. Person Demographics Education Person Demographics Ethnicity Ethnicity - 0 Person Race Code - Person Indicates the race of the person. Ethnicity - IB - Modeled - 0 Person Ethnic Group - Person Likely Race/Ethnicity of the person, based on self-reported sources, public sources, and surname/Ethnicity tables. Person Demographics Ethnicity Ethnicity - IB - Modeled - 0 Person Country of Origin (High Detail) - Person Likely Country of Origin of the person, based on a surname/heritage of surname table. Person Demographics Ethnicity Ethnicity - IB - Modeled - 0 Person Hispanic Language Preference - Person Likely Hispanic language preference (does or does not speak Spanish) of the person. This data is fully modeled. Person Demographics Ethnicity Home Length of Residence - Broad Ranges (Real Property data only) Home/Proper ty Indicates the total time a household has lived at their current address in ranges. Household Demographics Prop - LOR - RP
Acxiom Selected Attributes Household Demographics Household People in the HH Single Parent Indicates that a single parent exists in the household. Person Demographics Household People in the HH Veteran Indicates that a veteran exists in the household. Generations in Household Household Demographics Household People in the HH Indicates the number of family generations in a household. Indicates the number of known people in the household, both adults and children. This element includes 1) 8629 Household Size, 2) an inference rule that fills in missing data by inferring household size coverage up to the household level match rate of the file being appended, and 3) a mode calculation of the ZIP+4 and ZIP. 1) For the 8629 Household Size portion, it is a sum of Number of Adults and Number of Children. 2) For the inference rule, since the household size coverage percentage for 2 people in the household is lower than census, the rule only infers the value of 2 people in the household. 3) For the mode portion, the most frequently occurring household size value of 1-9+ for the ZIP+4 or ZIP is used. Our nationally represented consumer file is used to do the mode calculation. This element includes an indicator of the level of data appended. (Note: There is a small percentage of Household Size (0.005%) that will not sum to Number of Adults + Number of Children.) Household, ZIP+4, ZIP People in the HH - HH Size Household Size - 100% Demographics Household Household Size - 100% - Precision Level Household, ZIP+4, ZIP People in the HH - HH Size Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP Demographics Household
Acxiom Selected Attributes Indicates whether anyone in the household is married. This element includes 1) 9609 Marital Status in the Household, 2) business rule inferences that create Inferred Married and Inferred Single, 3) inferred/modeled data that fills in missing data by inferring marital status coverage up to the household level match rate of the file being appended, and 4) a mode calculation of the ZIP+4 and ZIP. 1) For the 8609 Marital Status portion, it is fed by consumer self-reported marital data. 2) Inferred Married and Inferred Single, values A and B, are inferred based on business rules.Inferred Married - When the marital status of Married or Single cannot be determined from a source and there are 2 names in the household with gender of Male and Female, within a certain age range of each other, then marital status is set to A "Inferred Married". Inferred Single - When the marital status of Married or Single cannot be determined from a source and there is only one name in the household, then the marital status is set to B "Inferred Single". 3) Inferred/Modeled data is used to fill in married and single values up to the household match rate. 4) Mode calculations of married and single at the ZIP+4 and ZIP levels are used to fill in married and single values to increase coverage up to 100%. People in the HH - Marital Marital Status in the Household - 100% Household, ZIP+4, ZIP Demographics Household Marital Status in the Household - 100% - Precision Level People in the HH - Marital Household, ZIP+4, ZIP Demographics Household Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP Indicates the years a household has lived at their address. This element includes 1) 8607 Home Length of Residence, 2) a model/inference that fills in missing data by inferring length of residence coverage up to the household level match rate of the file being appended, and 3) a mode calculation of the ZIP+4 and ZIP. 1) For the 8607 Length of Residence portion, it is fed by Purchase Date of Home, Move Date, other information where a person has indicated their household's length of residence, or the source has inferred a length of residence from a first-seen date, the date a landline phone was connected, etc. 2) For the modeled/inferred portion, a question on a syndicated survey file is used to target the inferred data. 3) For the mode portion, the most frequently occurring length of residence value of 00-15+ for the ZIP+4 or ZIP is used. Our nationally represented consumer file is used to do the mode calculation. This element includes an indicator of the level of data appended. Home Length of Residence - 100% Household, ZIP+4, ZIP Demographics Household Prop - LOR 3 Home Length of Residence - 100% - Precision Level Household, ZIP+4, ZIP Demographics Household Prop - LOR 3 Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP
Acxiom Selected Attributes Indicates whether a household is owner or renter occupied. This element includes 1) 8606 Home Owner/Renter, 2) an inference rule that fills in missing data by inferring renter coverage up to the household level match rate of the file being appended, and 3) a mode calculation of the ZIP+4 and ZIP. 1) For the 8606 Home Owner/Renter portion, it is fed by property data, self- reported data and address data which indicates the home is owned by the household or rented by the household, i.e., home purchase date, loan information, some indications in the address field that would indicate the property is a rental. 2) For the inference rule inferred portion, since the home ownership coverage in 8606 Home Owner/Renter is above the census percentage of home owners in the U.S., the rule only infers renters. 3) For the mode portion, the most frequently occurring value of O or R for the ZIP+4 or ZIP is used. Our nationally represented consumer file is used to do the mode calculation. This element includes an indicator of the level of data appended. Household, ZIP+4, ZIP Prop - Owner Renter 3 Home Owner / Renter - 100% Demographics Household Home Owner / Renter - 100% - Precision Level Household, ZIP+4, ZIP Prop - Owner Renter 3 Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP Demographics Household Household Demographics Occupation Occupation Business Owner Indicates the type of business owned by someone in the household. 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. Woman in the Workplace Household Demographics Occupation Occupation
Acxiom Selected Attributes Occupation - 0 Person Occupation - Person Person Demographics Occupation Indicates the occupation of the input individual's name appearing on the customer's file. Indicator of ethnicity at a broad level. 15 values. E-Tech incorporates Enhanced Neighborhood Analytics (ENA) technology, which is a granular geographic data system. Once E-Tech has analyzed all the available name intelligence and all of the geographic information, their proprietary culturally sensitive, expert logic is used to predict the ethnicity, language preference, religion and Hispanic Country of Origin. z Partner Data - E-Tech E-Tech - Ethnicity Group Codes Person Demographics Partner Data Indicator of ethnicity at a comprehensive level. Almost 200 values. E-Tech incorporates Enhanced Neighborhood Analytics (ENA) technology, which is a granular geographic data system. Once E-Tech has analyzed all the available name intelligence and all of the geographic information, their proprietary culturally sensitive, expert logic is used to predict the ethnicity, language preference, religion and Hispanic Country of Origin. z Partner Data - E-Tech E-Tech - Ethnic Codes Person Demographics Partner Data Indicator of religion. The Religion Code of an individual can be inferred from the Ethnic Code or can be determined separately from the Ethnic Code using additional name and/or geographic intelligence. 13 values. E-Tech incorporates Enhanced Neighborhood Analytics (ENA) technology, which is a granular geographic data system. Once E-Tech has analyzed all the available name intelligence and all of the geographic information, their proprietary culturally sensitive, expert logic is used to predict the ethnicity, language preference, religion and Hispanic Country of Origin. z Partner Data - E-Tech E-Tech - Religious Affiliation Person Demographics Partner Data
Acxiom Selected Attributes Political Affiliation Political Party - 0 Person Political Party - Person Indicates the political party associated with the person for voting purposes. Person Demographics IPA segments the U.S. affluence and wealth markets through incorporating all incoming producing assets a household is projected to have, beyond net worth and gross assets. IPA recognizes that as Americans get wealthier, their assets holdings change, and takes this growth curve into account. Households are assigned to one of eleven segments, ranked from lowest estimated assets (01) to highest (11). Household, ZIP+4, ZIP Income Producing Assets (IPA) Code Financial Income Income Income Producing Assets (IPA) - Precision Level Household, ZIP+4, ZIP Indicates the precision used in the append of the Income Producing Assets (IPA) Range. Financial Income Income Number of Lines of Credit (Trade Counter) Buying Activity Indicates credit purchases made in multiple retail stores for the household. Household Financial y BA - CCard Buying Activity y BA - CCard TypeCredit Card Indicator - Bank Card Household Financial Indicates possession of VISA or Mastercard bankcard(s) in a household.
Acxiom Selected Attributes Credit Card Indicator - Premium Indicates possession of premium credit card(s) in a household. Premium credit cards would be Gold or Platinum level. Household Financial Buying Activity y BA - CCard Type Home Equity Available - Estimated - Actual (Real Property data only) Household Financial Home/Property Prop - Equity - RP Indicates the amount of equity available in the home. Home Loan Amount Total - Original - Ranges (Real Property data only) Prop - Loan - Amount RP 0 Indicates the total home loan amount for the household in ranges. There may be multiple loans on the home. Household Financial Home/Property Household Financial Household Life - Ins Policy Life Insurance Policy Owner Indicates that someone in the household owns a life insurance policy. Indicates the estimated household income in narrow ranges. This income uses 9671 Income as it's foundation. 7671 Income 100% fills in the missing data in 9671 Income Plus with the mode of the ZIP9, up to 100% coverage. Description of 9671 Income Plus: 9671 Income Plus uses 8671 Income as it's foundation. 9671 Income Plus fills in the missing data in 8671 Income with inferred income, up to the household level match rate, generally 88%-93%, but it depends on the client file. Description of 8671 Income: 8671 Income is about 3-5% consumer self-reported via indicating their income on product registrations and website memberships, and about 95-98% modeled from the sources, based on a variety of demographic factors, including age, occupation, home ownership, and median income for the local area. Acxiom blends all of the source income data (the self-reported and the modeled data from the sources) into the Acxiom household level income elements using several rules including recency, commonality, and hierarchy. This income element has different ranges/values than the other income elements. Income - Estimated Household - Narrow Ranges - 100% Household, ZIP+4, ZIP Financial Income Income Income - Estimated Household - Narrow Ranges - 100% - Precision Level Household, ZIP+4, ZIP Indicates the precision of the data appended: Household, Household Inferred, ZIP+4 or ZIP Financial Income Income
Acxiom Selected Attributes Partner Dataz Partner Data - Semcasting Semcasting - Income Range Broad Modeled income data. There are 13 income ranges from under $30K - $500K+. Household Financial Resource based index of household spending capacity rather than strictly a measure of available assets. Created by comparing earnings and equity to debt, and looking at length of residence, age, presence of children, local tax rates, invested assets, home equity loans, projected savings, and indicators of cash flow and spending behavior Semcasting - Discretionary Income Index Partner Dataz Partner Data - Semcasting Household Financial Lifestyle Combination s Lifestyle Combination s Lifestyle Combination s Lifestyle Combinations Calorie Conscious Cooks Households with people who use low fat cooking methods or use natural foods such as organic meats and vegetables Household General Health and Fitness Lifestyle Combinations Households with people who like to exercise and have middle income or above Household Fitness Warriors Health and Fitness Lifestyle Combinations Households with people who are interested in their health and medical well being Household Health Enthusiasts Email Available Indicator Household Metadata Email email Indicates the person has an email address available. Home Square Footage - Ranges (Real Property data only) Home/Proper ty Address Property Prop - Details - RP Indicates the size of the home in ranged square footage.
Acxiom Selected Attributes Home Exterior (Real Property data only) Address Property Home/Property Prop - Details - RP Indicates the type of exterior of the residence. Home Roof Type (Real Property data only) Address Property Home/Property Prop - Details - RP Indicates the type of roof of the residence. Home Year Built - Actual (Real Property data only) Address Property Home/Property Prop - Details - RP Indicates the year that home was constructed. Indicates the assessed value of the home. An assessed value is the dollar value assigned to a property for purposes of measuring applicable taxes. Assessed valuation is used to determine the value of a residence for tax purposes and takes home market value into consideration. County assessments are done periodically, i.e., every 5 years, unless in the cases of an improvement to the property, such as building a home on the property, a home remodel, etc. which would cause a new assessment at that time. This assessed value comes straight from the county offices, not manipulated by the source or Acxiom. Home Assessed Value - Actual (Real Property data only) Address Property Home/Property Prop - HMV - RP Home Owner Type (Real Property data only) Household Property Home/Property Prop - Owner - RP Indicates the type of home owner. Indicates if more than one family lives at a particular address. Single-family dwelling units are defined as residential buildings housing one family or household, such as a house. The building does not share an inside wall with any other house or dwelling. It does not touch any other dwelling. Multi-family dwelling units are defined as residential buildings housing more than one household. i.e., Multiple separate housing units for residential inhabitants are contained within one building or several buildings within one complex, such as an apartment building. Condos are coded as multi- family dwelling units. Address Property Home/Property Prop - type Dwelling Type Home Property Type Detail (Real Property data only) Address Property Home/Property Prop - type - RP Indicates the specific kind of home. A Gift purchase of Cigars has occurred within the last 24 months in the Household. The Buying Activity data has been summarized into a categorical level according to purchase activity. This removes certain point-of-sale information, such as SKUs (stock keeping unit) but allows visibility into types of purchases and buying behaviors within the Household. Household Spending Buying Activity Smoking Cigars Mail Order Buyer Categories - Health Household Spending Buying Activity y BA - Mail Order Indicates a mail order purchase made by the household of health-related items.
Acxiom Selected Attributes Retail Purchases - Most Frequent Category Indicates the most frequent retail purchase category within the past two years. Household Spending Buying Activity y BA - Retail Cat Indicates the number of Online dollars spent in the last 24 months. The following elements are not actual transactions. This data has been rolled up into categories removing all transaction level data including SKUs. z BA - Spending Online RFM - Total Online Dollars Household Spending Buying Activity z BA - Spending Overall Household Spending Buying Activity RFM - Total Dollars Indicates the total dollars spent in the last 4 years. Lifestyle Combinations Lifestyle Combinations Smart Home Enthusiasts Households with people who are high tech and use wireless devices such as wireless home security systems, lighting and cooling Household Technology Lifestyle Combinations Lifestyle Combinations Households with people who wear fitness sensors like fitbit, jawbone, yadda. Household Technology Fitness Trackers Vehicle - Known Owned Number Household Vehicles Vehicle Vehicle Indicates the total number of vehicles owned in the household. Vehicle - Truck Owner Vehicle - Motorcycle Owner Vehicle - Recreational Vehicle Owner Someone in the household has indicated that they own a truck. This does not include SUVs. Household Vehicles Vehicle Vehicle Household Vehicles Vehicle Vehicle Someone in the household has indicated that they own a motorcycle. Someone in the household has indicated that they own a recreational vehicle (RV). Household Vehicles Vehicle Vehicle
Potential Limitations Historical data Available from 2012 to 2022 Updates twice each year Not all attributes are available in historical data (still exploring) Additional charges Matching accuracy with Datavant approach Variation of address formatting Can t use Acxiom referential database to improve matching accuracy
