Households with No Vehicles Available by County

From Esri Demographics: This layer shows household size by number of vehicles available. 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, 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. This layer is symbolized to show the percentage of households with no vehicle available. 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: 2019-2023 ACS Table(s): B08201 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024 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 US 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. 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 2023 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 US 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). 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.数据源自Esri人口统计数据库：本图层按照可用车辆数量展示家庭户数规模，展示范围覆盖普查街区（Census Tract）、县及州边界。本服务每年更新一次，收录最新发布的美国社区调查（American Community Survey, ACS）5年周期数据集，包含估计值与误差边际。此外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。本图层采用符号化渲染，展示无可用车辆的家庭占比。若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，并点击右上角的"字段"按钮。 当前数据版本：2019-2023年ACS，对应数据表：B08201 数据来源：美国人口普查局美国社区调查API API调用日期：2024年12月12日 全国统计数据：data.census.gov 美国人口普查局美国社区调查（ACS）：调查介绍、地理空间与ACS技术文档、新闻与更新 本图层为即用型数据集，可在ArcGIS Pro、ArcGIS Online、其可配置应用、仪表盘、故事地图（Story Maps）、自定义应用及移动应用中使用。数据亦可导出以支持离线工作流程。如需了解更多ACS图层相关信息，请访问常见问题解答（FAQ）页面。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。本服务中展示的为90%置信水平的误差边际，其含义为：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估计值还存在非抽样误差（相关讨论详见《数据精度》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。本图层始终收录最新可用的ACS 5年周期估计值，每年会紧跟普查局的发布日程在数日内完成更新。点击此处可了解更多ACS数据发布相关信息。 边界数据源自美国人口普查局TIGER地理数据库，具体为全国州以下地理数据库（文件名为tlgdb_(年份)_a_us_substategeo.gdb）。边界数据与主题数据同步每年更新，且边界版本与普查局规定的主题数据版本完全匹配。为满足制图需求，本数据集移除了普查边界中的水体与海岸线要素。 对于普查街区图层，水体移除范围源自TIGER提供的2020年区域水文边界子集。面积大于等于5000万平方米的大中型水体与河流，以及其他重要地物，均已从街区级边界中移除。 对于州与县级边界图层，水体与海岸线源自2023年500k分辨率TIGER制图边界形状文件的海岸线数据。移除这些要素可更精准地呈现海岸线与五大湖区域的形态。数据表格中仍保留原始的AWATER与ALAND字段（单位：平方米）。 州级图层共包含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。 位于海洋等水域区域且无人口的普查街区（街区代码以99开头）已从本数据服务中移除。 占比与衍生计数及其对应的误差边际均为计算值（可通过字段名中的"_calc_"后缀识别），且符合美国社区调查的相关规范。 字段别名的命名依据美国社区调查汇总文件文档页面提供的表结构文件生成。 除-5555…已被设置为0外，其余负值（如-4444…）均已被设为空值。原始API数据中的负值用于标识以下场景： 1. 误差边际字段表明，无有效抽样观测值或抽样观测值过少，无法计算标准误与误差边际，此时不适合开展统计检验。 2. 无有效抽样观测值或抽样观测值过少，无法计算估计值；或由于其中一个或两个中位数估计值落在开放分布的最低区间或最高区间，无法计算中位数比值。 3. 中位数落在开放分布的最低区间或最高区间。 4. 不适合开展统计检验。 5. 估计值为受控值。 6. 针对抽样变异性的统计检验不适用。 7. 由于抽样样本量过小，该地理区域的数据无法展示。