ACS Earnings by Occupation 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 median earnings by occupational group. 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. Only full-time year-round workers included. Median earnings is based on earnings in past 12 months of survey. Occupation Groups based on Bureau of Labor Statistics (BLS)' Standard Occupation Classification (SOC). This layer is symbolized to show median earnings of the full-time, year-round civilian employed population. 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): B24021 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.服务终止通知：本产品自2026年2月起进入成熟支持阶段，并将于2027年12月正式终止服务。目前已有该产品的新版本可供使用，Esri建议您尽快更新地图与应用，以适配新版本。 本图层展示了按职业群体划分的收入中位数，数据以普查区（tract）、县（county）和州（state）的边界为统计单元呈现。 本服务每年更新一次，采用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值。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。本数据仅包含全职全年工作者的相关信息，收入中位数基于受访者过去12个月的收入计算。职业群体分类基于美国劳工统计局（Bureau of Labor Statistics, BLS）的标准职业分类（Standard Occupation Classification, SOC）体系。 本图层的符号系统用于展示全职全年民用就业人口的收入中位数。如需查看本服务中所有可用属性列表，请前往“数据（Data）”选项卡，并选择左上角的“字段（Fields）”菜单。 数据年份：2019-2023年，ACS表号：B24021；数据下载来源：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：2024年12月12日；全国数据来源：data.census.gov。 美国人口普查局美国社区调查（American Community Survey, ACS）：调查介绍、地理与ACS技术文档、新闻与更新。 本图层为即用型图层，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。数据也可导出用于离线工作流程。如需了解更多关于ACS图层的信息，请访问常见问题解答（FAQ）页面。使用本数据时，请引用美国人口普查局与ACS。 美国人口普查局的数据说明：本数据基于抽样调查，存在抽样变异性。抽样变异性带来的估算不确定性通过误差边际值体现。此处展示的为90%置信水平的误差边际值，其含义为：估算值加减误差边际值所构成的区间（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估算值还存在非抽样误差（关于非抽样变异性的讨论，请参阅《数据准确性》文档），本表格未体现非抽样误差的影响。 数据处理说明：本图层每年会在最新周期的ACS数据发布时自动更新，通常更新时间为每年12月。图层始终包含最新可用的ACS 5年周期估算值，更新时间紧跟美国人口普查局的发布计划，通常在其发布后数日内完成。点击此处可了解更多关于ACS数据发布的信息。 边界数据来源：本图层的边界数据来自美国人口普查局TIGER地理数据库，具体为全国次州地理数据库（命名格式为tlgdb_(年份)_a_us_substategeo.gdb）。边界数据与数据同步每年更新一次，且边界年份与美国人口普查局指定的数据年份完全匹配。为满足制图与可视化需求，本图层已移除普查区边界中的水体及海岸线信息。对于普查区，水体裁剪基于TIGER提供的2020年面积水文边界子集：面积大于等于5000万平方米的大中型水体与河流，以及其他重要要素，均已从普查区边界中移除。对于州与县级边界，水体及海岸线信息来自2023年500k分辨率TIGER制图边界形状文件中的海岸线数据，移除操作旨在更精准地展示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（单位为平方米）。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。 本数据服务已移除位于水域区域（如海洋）的无人口普查区（普查区代码以99开头）。百分比与衍生计数及其对应的误差边际值均为计算所得值（字段名称中带有“_calc_”前缀），且严格遵循美国社区调查的规范要求。字段别名基于美国社区调查汇总文件文档页面中的表壳文件（Table Shells file）生成。 部分负值（例如-4444...）已被设置为空值，仅-5555...例外，已被设置为0。原始API数据中的这些负值分别代表以下场景： 1. 误差边际值列：无抽样观测值或抽样观测值过少，无法计算标准误及误差边际值，不适用于统计检验； 2. 无抽样观测值或抽样观测值过少，无法计算估算值；或由于其中一个或两个中位数估算值落在开放式分布的最低区间或最高区间，无法计算中位数比率； 3. 中位数落在开放式分布的最低区间或最高区间； 4. 不适用于统计检验； 5. 估算值为受控值，不适用于抽样变异性统计检验； 6. 该地理区域的样本量过小，无法展示数据。