Social Determinants of Health

AnalyticsIQ's Social Determinants of Health data sample contains individual or household level data with a variety of characteristics related to social determinants of health (SDoH).
Geographic coverage: United States of America
Data Population Level: Individuals
Number of individuals/households covered: 242.5+ million individuals & 117+ million households

Our data is created in an offline process but leverage offline and online data and behaviors. The vast majority of our database is proprietary although a few publicly available data sources are leveraged in its development AnalyticsIQ sources data from over 100 sources. These are predominantly public sources including: Core Demographic data from multiple sources; Census Block and Block Group level data; Econometric data from the US government; Summarized credit data from multiple credit bureaus; Property and mortgage information from county courthouses; Occupation information from state licensing boards; Past purchase behavior from catalogers and retailers that contribute their data at a category level.

AnalyticsIQ is not an original compiler as the data above is readily available for purchase out in the market. However, AnalyticsIQ uses superior analytics to make our data best-in-class. One tool that is completely unique to AnalyticsIQ’s product development process is our proprietary survey data. This is where our Cognitive Sciences Department carefully crafts questions that we serve to a panel of consumers. Survey responses are not directly published on our file, but rather the answers are then modeled across our entire consumer file to create truly unique data points not available anywhere.

Sample Data: SDOH Sample file

Examples of key data points include:

- AIQ_PEOPLE_IN_HH: Number of Individuals in Household
- EthnicIQ_v2: Ethnicity Identification System (Known and Inferred)
- LT_Exercise: Frequency of Exercise (1=never; 7=daily)
- SCR_wellness: Overall Wellness Scale is one overall wellness index
- LT_Pet_Owner_v2: Likelihood of Being a Pet Owner (7=most likely; 1=least likely)
- HW_Job_Satis: Measure of Job Satisfaction (7=very satisfied; 1=very unsatisfied)
- HW_Stress_v2: Measure of Stress Levels (7-high stress; 1=low stress)
- HW_Primary_Care_Doctor_SC: Likelihood of Having Primary Care Doctor (7=most likely; 1=least likely)
- Number_of_Autos: Likely Number of Vehicles Owned (0 = 0 Vehicles Owned; 1 = 1 Vehicles Owned; 2 = 2 Vehicles Owned; 3 = 3+ Vehicles Owned)

For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading providers of data de-identification services.