ACS 5YR CHAS Estimate Data by Tract

The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The primary purpose of CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income). CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes to a more comprehensive market analysis by documenting issues like lead paint risks, "affordability mismatch," and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building. This dataset is a special tabulation of the 2016-2020 American Community Survey (ACS) and reflects conditions over that time period. The dataset uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2016-2020 ACS income data. CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html, for questions about the spatial attribution of this dataset, please reach out to us at [e-mail]. To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by Tract Date of Coverage: 2016-2020

美国住房与城市发展部（U.S. Department of Housing and Urban Development，简称HUD）会定期从美国人口普查局获取普查数据的定制制表结果，此类数据大多无法通过标准普查产品获取。这类被称为「CHAS（综合住房负担能力战略，Comprehensive Housing Affordability Strategy）」的数据集，直观展现了住房问题与住房需求的规模，尤其聚焦低收入家庭群体。

CHAS数据的核心宗旨是测算需要住房援助的家庭总量：该数值通过同时满足两类条件的家庭数量进行估算——一是存在特定住房问题，二是收入水平低至符合HUD相关项目的资格认定标准，通常为所在区域家庭收入中位数的30%、50%与80%。CHAS数据可统计不同地理区域内符合HUD指定特征的家庭数量。

除用于估算低收入住房需求外，CHAS数据集还可通过记录含铅油漆风险、「负担能力错配」现象，以及住房负担能力与房龄、卧室数量、建筑类型等变量的关联等多项议题，助力开展更全面的市场分析。

本数据集为2016-2020年美国社区调查（American Community Survey，简称ACS）的专项制表成果，反映了该时段内的住房相关状况。该数据集采用了HUD规划与发展研究部（HUD PDR）工作人员基于2016-2020年ACS收入数据计算得出的定制化HUD区域家庭收入中位数（HUD Area Median Family Income，简称HAMFI）数值。

CHAS数据集被联邦、州及地方各级政府用于规划HUD项目资金的使用与分配方案。

如需了解更多关于综合住房负担能力战略（CHAS）的信息，请访问：https://www.huduser.gov/portal/datasets/cp.html；若对本数据集的空间归因存在疑问，请发送邮件至[e-mail]与我们取得联系。如需了解更多美国社区调查（ACS）及相关数据集的内容，请访问：https://www.census.gov/programs-surveys/acs

数据字典：DD_ACS 5年期CHAS分区估计数据
覆盖时段：2016-2020年