ACS Housing Units Occupancy (Latest)

This layer shows housing occupancy, tenure, and median rent/housing value. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Homeownership rate on Census Bureau's website is owner-occupied housing unit rate (called B25003_calc_pctOwnE in this layer). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2020-2024 ACS Table(s): B25002, B25003, B25058, B25077, B25057, B25059, B25076, B25078 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 29, 2026 National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS): About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the U.S. Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (download ZIP file here, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations: The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.本图层展示了住房居住状况、保有形式以及租金中位数/住房价值中位数，数据以普查区（tract）、县、州界为分区展示。本服务每年更新一次，采用美国人口普查局最新发布的美国社区调查（American Community Survey, ACS）五年期估计数据，包含估计值与误差边际（margin of error）。本图层还包含与该主题相关的衍生计算属性，可用于制图或分析工作。美国人口普查局官网中的住房自有率，在本图层中对应为自有住房单元占比（本图层内字段名为B25003_calc_pctOwnE）。如需查看本服务中所有可用属性的完整列表，请前往"数据"选项卡，并选择右上角的"字段"选项。当前数据版本：2020-2024年ACS，涉及数据表：B25002、B25003、B25058、B25077、B25057、B25059、B25076、B25078。数据来源：美国人口普查局美国社区调查应用程序接口（API），API调用日期：2026年1月29日，全国统计数据来源：data.census.gov。美国人口普查局美国社区调查（ACS）：调查概况、地理分区与ACS技术文档、最新动态。本图层为现成可用的数据集，可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、Story Maps、自定义应用与移动应用中使用，数据也可导出以支持离线工作流程。如需了解更多关于ACS图层的信息，请查阅常见问题解答（FAQ）。使用本数据时，请注明引用美国人口普查局与ACS。美国人口普查局数据说明：本数据基于抽样调查，存在抽样变异性。由抽样变异性导致的估计值不确定性程度通过误差边际体现，本图层中展示的为90%置信水平的误差边际。误差边际可理解为：估计值减去误差边际与估计值加上误差边际所构成的区间（即置信上下限）有90%的概率包含真实数值。除抽样变异性外，ACS估计值还会受到非抽样误差的影响（关于非抽样变异性的讨论，请参阅《数据准确性》文档），但本数据表未体现非抽样误差的影响。数据处理说明：本图层每年会在美国人口普查局发布最新版ACS数据时自动更新，通常更新时间为12月。图层始终包含最新可用的ACS五年期估计数据，更新进度紧随美国人口普查局的发布计划，滞后时间不超过数日。点击此处可了解更多ACS数据发布相关信息。边界数据来源于美国人口普查局TIGER地理数据库，具体为全国州以下地理数据库（文件名为tlgdb_(year)_a_us_substategeo.gdb）。边界数据与主题数据每年同步更新，边界版本与美国人口普查局指定的数据版本保持一致。为满足制图需求，本图层已移除普查边界中的水体及海岸线要素。针对普查区（tract），水体移除范围取自TIGER提供的2020年区域水文边界子集（可点击此处下载ZIP压缩包，文件大小约500MB）。本图层移除了普查区边界中面积大于等于5000万平方米的大中型水体与河流，以及其他重要要素。针对州与县边界，水体及海岸线数据取自2020年500k TIGER制图边界形状文件中的海岸线要素。移除这些要素可更精准地呈现海岸线与五大湖区域的轮廓。数据表格中仍保留原始的AWATER与ALAND字段，单位为平方米。州图层共包含52条记录，涵盖美国所有州、华盛顿哥伦比亚特区以及波多黎各。本数据服务已移除位于海洋等水域区域的无人口普查区（即以99开头的普查区）。路易斯安那州的两个普查区（22075050100与22087030105）已进行简化处理以降低顶点数量。百分比、衍生计数以及对应的误差边际均为计算所得值（可通过字段名中的"_calc_"标识识别），计算规则符合美国社区调查的相关规范。字段别名的设置依据美国社区调查汇总文件文档页面中的表壳文件（Table Shells file）完成。除-5555…已被设置为0外，其余负值（如-4444…）均已被设置为空值。原始API数据中的负值用于标识以下情形：1. 误差边际列表明：无足够样本观测值可用于计算标准误，因此无法计算误差边际，此时不适合进行统计检验；2. 无足够样本观测值可用于计算估计值，或由于中位数估计值落在开放式分布的最低区间或最高区间，导致无法计算中位数比值；3. 中位数落在开放式分布的最低区间或最高区间，此时不适合进行统计检验；4. 针对抽样变异性的统计检验不适用；5. 估计值为受控值；6. 该地理区域的样本量过小，无法展示其数据。