ACS Educational Attainment Variables - Boundaries

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows education level for adults 25+. Counts broken down by sex. 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 by the percentage of adults (25+) who were not high school graduates. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023 ACS Table(s): B15002 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 and 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.运维终止通知：本数据集自2026年2月起进入成熟支持阶段，将于2027年12月正式停用。当前已有新版本可供使用，Esri建议您更新地图与应用，以适配新版数据集。 本图层展示了25岁及以上成年人的受教育程度分布，按性别细分统计数据，覆盖普查区（tract）、县（county）与州（state）三级地理边界。本服务每年更新一次，纳入最新发布的美国社区调查（American Community Survey, ACS）5年周期数据，包含估算值与误差边际。此外还提供了与该主题相关的额外计算属性，可用于制图或分析。 本图层以25岁及以上成年人中未完成高中学业者的占比进行符号化渲染。如需查看本服务中所有可用属性的完整列表，请前往「数据」标签页，并选择左上角的「字段」选项。 数据年份：2019-2023年ACS 数据表：B15002 数据下载来源：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 关于美国社区调查（ACS）： 调查简介 地理与ACS技术文档 新闻与更新 本预制图层可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、故事地图（Story Maps）、自定义应用与移动应用中使用。数据也可导出用于离线工作流程。如需了解更多ACS图层相关信息，请访问常见问题解答（FAQ）。使用本数据时，请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算值不确定程度通过误差边际（margin of error）体现。此处展示的为90%置信水平的误差边际，其含义为：估算值减去误差边际与估算值加上误差边际所构成的区间，有90%的概率包含真实数值。除抽样变异性外，ACS估算值还存在非抽样误差（关于非抽样变异性的讨论，请参见《数据准确性》文档），本数据表未体现非抽样误差的影响。 数据处理说明：本图层会在每年最新版本的ACS数据发布时自动更新，通常在12月。图层始终包含最新可用的ACS 5年周期估算值，会在人口普查局发布数据后的数日内完成年度更新。点击此处了解更多ACS数据发布相关信息。 地理边界数据来自美国人口普查局TIGER地理数据库，具体为全国次州级地理数据库（命名格式为tlgdb_(年份)_a_us_substategeo.gdb）。边界会与数据同步每年更新，边界年份与人口普查局指定的数据年份保持一致。为适配制图需求，本数据已移除普查边界中的水体与海岸线： 针对普查区：水体裁剪基于TIGER提供的2020年面积水文边界子集，移除了面积≥5000万平方米的大中型水体与其他重要地物，以优化普查区级边界的可视化效果。 针对州与县级边界：水体与海岸线基于2023年500k分辨率TIGER制图边界形状文件的海岸线数据移除，以更精准地呈现海岸线与五大湖区域。 数据表格中仍保留原始的AWATER与ALAND字段（单位：平方米）。 州级图层包含52条记录，涵盖美国所有州、华盛顿哥伦比亚特区与波多黎各。 本数据服务已移除水域区域（如海洋）内无人口的普查区（以99开头的普查区）。 百分比与衍生计数及对应的误差边际均为计算值（字段名称中带有「_calc_」前缀），符合ACS的规范要求。字段别名基于美国社区调查汇总文件文档页面中的数据表壳（Table Shells）文件生成。 除-5555...已被设置为0外，其余负值（如-4444...）均已设置为空值。这些原始API数据中的负值用于表示以下情形： 误差边际列显示：无足够样本观测值可计算标准误差，因此无法得出误差边际，此时不适合进行统计检验。 无足够样本观测值可计算估算值，或无法计算中位数比值，因为其中一个或两个中位数估算值落在开放式分布的最低或最高区间内。 中位数落在开放式分布的最低或最高区间内。 不适合进行统计检验。 估算值已受控，不适合进行抽样变异性统计检验。 由于样本量过小，无法展示该地理区域的数据。