
Overview
PSYTE™ US Geodemographic segmentation data provides users with an easy-to-understand classification of neighborhoods. The average age, income, education, preferences, and much more allow for data-driven personalization. Designed with quality, accuracy, and privacy in mind, geodemographic segmentation deepens customer insights, to improve the characteristics and behaviors of populations in specific geographic areas. PSYTE™ US is a powerful geodemographic classification system that segments US Census Blocks into one of twelve lifestyle groups and 63 mutually exclusive neighborhood types, describing each with a short label. Product data is built on a 2020 Census Block geography base. Demographic and socioeconomic features are tabulated or modeled down to the Census Block level, utilizing the Census Bureaus Demographic and Housing Characteristics data along with annually updated American Community Survey data, plus Preciselys GroundView and Property Attributes products. Details: 63 clusters, grouped into 12 Groups, provide users the total solution for understanding the core traits of US consumer households.
7 drill-down levels in 3 categories for refined analytics: Income Property: Value Property: Tenure Property: Type Property: Urban/Rural Life stage: Age Life stage: Household Composition
This sample data set covers the San Francisco, CA area. This represents a subset of the full products geographic extent. The full commercial offering features geographic coverage of the entire United States. Contact aws.data.partnership@precisely.com for more information on licensing the product.
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You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
PSYTE_USA_SAMPLE | All historical revisions | All future revisions | Not included | Not included |