Sold by: AnalyticsIQ
Deployed on AWS
SDoH Sample Data - Offline contains individual or household level audiences with a variety of characteristics related to social determinants of health (SDoH). This data was used in the analysis for the AWS article titled “AWS ARTICLE TITLE HERE”.
Overview
SDoH Sample Data – Offline Data Product Overview
SDoH Sample Data – Offline contains individual or household level data variables that were used in the analysis for the AWS article “AWS ARTICLE TITLE”.
Use Cases
SDoH Sample Data – Offline can be used to conduct analysis similar to that in the AWS article “AWS ARTICLE TITLE” in order to better understand specific social determinants of health.
SDoH Sample Data – Offline can be used to analyze health trends and social determinants of health across different geographies and time periods.
Metadata
| Description | Value |
|---|---|
| Geographic coverage | United States of America |
| Data Population Level | Individual or Household |
| Number of individuals/households covered | 242.5+ million individuals & 117+ million households |
| Raw or scraped data | Raw Data |
| Key Fields | Age, Gender, Geographic Location, Ethnicity, Language, Diet, Exercise, Wealth, Spending, Technology Adoption, Grocery Shoppers, Marital Status, Financial Motivations, Medical Utilization, In Market for Insurance |
| Data Source(s) | 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. |
| Update Frequency | AnalyticsIQ data is updated on a quarterly basis |
| Key Words | Health, Wellness, SDoH, Social Determinants of Health, Healthcare, Health Outcomes |
Key Data Points
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)
Pricing Information
For pricing information on our 12-month licenses please reach out to Margo Hock at margoh@analytics-iq.com .
Regulatory and Compliance Information
All AnalyticsIQ audiences are HIPAA compliant, and many audiences are Regulation B / FLA friendly or have alternative Regulation B / FLA friendly versions. To learn more about AnalyticsIQ’s Regulation B / FLA Friendly data.
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.
For information, please reach out to aws-support@analytics-iq.com .
Need Help?
If you have any questions about AnalyticsIQ or our data, please reach out to aws-support@analytics-iq.com .
About Your Company
Founded in 2007 and based in Atlanta, AnalyticsIQ is vastly made up of data scientists, analysts, researchers, and cognitive psychologists with over 100 years of collective analytical experience. AnalyticsIQ is the first data company to consistently blend cognitive psychology with data science to understand the heart of individuals and their motivations – both as a consumer and as a professional. By linking an individual’s consumer profile at home to their professional profile at work, AnalyticsIQ strives to help companies know their customers and prospects like they know their friends, and its mission is for data to fuel every brand experience. AnalyticsIQ’s data consistently outperforms other data providers, and the company’s flexible approach means that they will do whatever it takes to work with clients to solve the challenges they may be facing. To learn more about AnalyticsIQ, please visit https://analytics-iq.com/ .
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Dimensions summary
This listing has one pricing dimension: Product Access (Units). It is offered at no cost, giving subscribers access to the offline sample data set. Because it is a free sample, there are no tiers, usage meters, or scaling charges to compare. You get access through this single dimension, with no additional billing options on AWS Marketplace. The sample lets you preview social determinants of health data attributes, such as demographics, income, housing, transportation, and access to technology, before considering a paid arrangement.
Top-of-mind questions for buyers
One unit grants subscriber access to the offline sample data set. It is a fixed grant, not a per-record or per-user meter. You get entry to preview the sample attributes. There are no additional units to add or count for this free listing.
The sample previews social determinants of health attributes like demographics, income, housing, transportation, and technology access. It is an offline sample set, not a live feed. It lets you evaluate the data before any paid arrangement. Broader production data and volume access are not part of this free listing.
No. This listing has one dimension offered at no cost, with no usage meters, tiers, or thresholds. Accessing more of the sample does not add charges. There is no scaling behavior or overage to trigger a cost change on AWS Marketplace.
analytics-iq.com
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
AnalyticsIQ SDoH Data Sample | All historical revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
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