ACS 5YR CHAS Estimate Data by Place

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 Place Date of Coverage: 2016-2020美国住房与城市发展部（U.S. Department of Housing and Urban Development, HUD）会定期从美国人口普查局获取标准普查产品中几乎无法获取的普查数据自定义制表结果。此类数据集被称为“CHAS（综合住房负担能力战略，Comprehensive Housing Affordability Strategy）数据”，可用于呈现住房问题与住房需求的规模，尤其针对低收入家庭群体。CHAS数据的核心用途是统计需要住房援助的家庭数量，该数据通过同时满足两项条件的家庭数量进行估算：一是存在特定住房问题，二是收入足够低以符合HUD住房项目的资助资格（主要为收入中位数的30%、50%及80%）。CHAS数据可统计各类地理区域内符合HUD指定特征的家庭数量。除了估算低收入家庭的住房需求外，CHAS数据还可通过记录诸如铅漆风险、“负担能力错配”以及住房房龄、卧室数量、建筑类型等变量与负担能力之间的关联，助力更全面的市场分析。本数据集为2016-2020年美国社区调查（American Community Survey, ACS）的特殊制表结果，反映了该时段内的住房状况。本数据集采用由HUD PDR工作人员基于2016-2020年ACS收入数据计算得出的自定义HUD区域家庭收入中位数（HUD Area Median Family Income, HAMFI）数值。CHAS数据集被联邦、州及地方政府用于规划HUD项目资金的使用与分配方案。若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属性存在疑问，请发送邮件至[e-mail]与我们联系。若需了解更多关于美国社区调查（ACS）及其相关数据集的信息，请访问：https://www.census.gov/programs-surveys/acs 数据字典：DD_ACS五年期CHAS估算数据（按地区划分） 覆盖日期：2016-2020年