遇见数据集

PSYTE™ US

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Snowflake2024-01-10 更新2024-05-01 收录
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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 Bureau's Demographic and Housing Characteristics data along with annually updated American Community Survey data, plus Precisely's 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 product’s geographic extent. The full commercial offering features geographic coverage of the entire United States. Contact snowflake.partnership@precisely.com for more information on licensing the product.

提供机构:
Precisely
创建时间:
2024-01-08
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