遇见数据集

Socio-economic location profile - sample

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Snowflake2022-05-25 更新2024-05-01 收录
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Dataplace.ai helps businesses understand where their customers are in the offline world. Whether it’s about identifying customers’ profile in a select location, defining location for a new store, targeting the right customers with marketing efforts or identifying points of sale with the highest sales potential – we make everyday business decisions in the offline world easier. Our data, products and services help business to better understand the power of ‘where’. Thanks to our technology and data science we’re able to provide complex socio-demographic profile of any location – from a zip code level, through a geo-hash, to a particular address. This data share includes 4 tables. Sample Tables: - Demographic profile - Households - Purchasing power - Resident’s receipt Fields included: - Type of spatial unit - geohash6 - number of men - number of females - number of people in select age category - number of men in select age category - number of females in select age category - Number of households - Average household size - average purchasing power per capita/ total purchasing power in a given area - Number of households with annual incomes in select income category - average spending per capita on select category

提供机构:
Dataplace.ai
创建时间:
2022-05-04
搜集汇总
数据集介绍
Socio-economic location profile - sample 数据集图片
背景与挑战
背景概述
该数据集提供了基于地理哈希单元的社会经济与人口统计信息样本,涵盖人口构成、家庭特征、购买力及消费支出等多个维度。它旨在帮助企业在选址、营销和销售等线下商业决策中,更精准地理解目标区域的社会经济状况。
以上内容由遇见数据集搜集并总结生成
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