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U.S. Census Demographics + Geospatial Boundaries — Free Dataset

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Get a free sample of **Census Galaxy**, No Fret Data’s Data-as-a-Service platform that makes U.S. Census demographics and geospatial boundaries easy to use. This demo includes curated fields across income, education, housing, and population, along with ready-to-use polygons and centroids for mapping. It’s designed to be **plug-and-play** for AI/ML models, analytics, and geospatial projects—no cleanup required. Install it instantly and explore how Census Galaxy can power segmentation, targeting, and market insights at scale. Use Cases Include: - Quick testing in AI/ML workflows - Audience segmentation and marketing demos - Geospatial joins and mapping - Site selection & market research trials - Academic and classroom use
提供机构:
No Fret Data
创建时间:
2025-09-25
原始信息汇总

U.S. Census Demographics + Geospatial Boundaries — Free Dataset

数据集概述

  • 数据集名称:U.S. Census Demographics + Geospatial Boundaries — Free Dataset
  • 提供商:No Fret Data
  • 访问权限:免费
  • 访问模式:Unlimited Access
  • 数据刷新频率:Annually
  • 地理覆盖范围:USA (All States), American Samoa, Guam, 52 More
  • 覆盖粒度:By postal code

数据内容

  • 数据表名称:AM_DEMO_2023_ZIP
  • 数据特征:AI/ML-ready Census demographics & spatial insights at ZIP level
  • 包含字段:收入、教育、住房、人口等精选字段
  • 空间数据:包含可直接使用的多边形和质心点用于地图绘制
  • 数据特点:无需清洗即可使用的即插即用数据

主要应用场景

受众细分

  • 利用邮政编码级别的变量进行精准分组和目标受众定位
  • 适用场景:营销人员构建人口统计集群和客户相似模型

位置规划

  • 支持选址、区域优化和地理扩展
  • 适用场景:房地产、零售和市政规划

机器学习

  • 使用丰富的标准化人口统计输入训练机器学习模型
  • 特征:百分位数和分层桶有助于减少偏见并提高预测性能

使用示例

按家庭收入中位数查询华盛顿特区前5个邮政编码

sql SELECT "ZipCode", "CityStateAbbrev", "TOTAL_POPULATION", "MEDIAN_HOUSEHOLD_INCOME", "ZipCodePolygon" FROM "2023".AM_DEMO_2023_ZIP WHERE "StateAbbrev" = DC AND "MEDIAN_HOUSEHOLD_INCOME" IS NOT NULL AND "ZipCodePolygon" IS NOT NULL ORDER BY "MEDIAN_HOUSEHOLD_INCOME" DESC LIMIT 5;

按教育程度与贫困水平比较邮政编码排名

sql SELECT "ZipCode", "CityStateAbbrev", "TOTAL_POPULATION", "POPULATION_DENSITY", "DEGREE_HOLDERS", "DEGREE_HOLDERS_PRCNTGE", "POP_BELOW_POVERTY_LEVEL_PRCNTGE" FROM "2023".AM_DEMO_2023_ZIP WHERE "DEGREE_HOLDERS_PRCNTGE" IS NOT NULL AND "TOTAL_POPULATION" > 5 ORDER BY "DEGREE_HOLDERS_PRCNTGE" DESC;

技术规格

  • 云区域可用性:AWS Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Mumbai), Asia Pacific (Osaka) 等46个区域
  • 法律条款:Standard

分类标签

  • AI & ML
  • Audience Segmentation
  • Demographics
  • Geospatial
  • Location Planning
  • Machine Learning
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