ACS Employment Status (Latest)

This layer shows hours worked, and those unemployed and not in labor force. 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. 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): B23020, B23025 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.

本图层展示了工作时长、失业人员及非劳动力群体的相关数据，统计单元覆盖普查区（Tract）、县（County）及州（State）级行政边界。本服务每年更新一次，纳入美国人口普查局（U.S. Census Bureau）最新发布的美国社区调查（American Community Survey, ACS）五年期数据，包含统计估计值与误差边际（margin of error）。本服务还提供与该主题相关的额外计算属性，可用于制图或分析工作。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：2020-2024年 ACS 数据表：B23020、B23025
数据来源：美国人口普查局ACS应用程序编程接口（API）
API调用日期：2026年1月29日
全国统计数据：data.census.gov

美国人口普查局美国社区调查（ACS）：调查概况、地理分区与ACS技术文档、最新动态

本图层为可直接使用的数据集，可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表盘、Story Maps、自定义应用及移动应用中调用。数据亦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）。使用本数据时，请注明引用美国人口普查局及ACS。

### 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程度通过误差边际体现。本图层展示的误差边际为90%置信水平下的数值，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（关于非抽样变异性的讨论，请参见《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
本图层每年在美国人口普查局发布最新ACS数据版本时自动更新，通常于12月完成。本图层始终包含最新可用的ACS五年期估计数据，更新时间紧跟人口普查局的发布日程，误差不超过数日。点击此处可了解更多ACS数据发布相关信息。

本图层使用的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（文件命名格式为`tlgdb_(年份)_a_us_substategeo.gdb`）。边界数据与统计数据同步每年更新，且边界版本与人口普查局指定的数据版本严格匹配。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。

就普查区层面而言，水体剔除范围源自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，大小约500MB）。普查区边界中，面积≥5000万平方米的大中型水体及河流，以及其他重要要素均已被移除。

对于州及县级边界，水体与海岸线数据源自2020年500k分辨率TIGER制图边界Shapefile中的海岸线图层。为更精准呈现海岸线与五大湖轮廓，已移除相关水体要素。数据表格中仍保留原始的`AWATER`（水域面积）与`ALAND`（陆地面积）字段，单位为平方米。

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及波多黎各。

位于海洋等水域区域的无人口普查区（编号以99开头）已从本数据服务中移除。路易斯安那州的两个普查区（编号分别为22075050100与22087030105）已进行简化处理，以降低顶点数量。

百分比、衍生计数及对应的误差边际均为计算所得属性（可通过字段名中的`_calc_`前缀识别），其计算规则符合ACS的相关规范。字段别名源自美国社区调查汇总文件文档页面提供的表结构模板文件。

原始API数据中的负值（如`-4444…`）已被设置为空值，仅`-5555…`被设置为0。原始API数据中的此类负值用于标识以下情形：
1. 误差边际列对应的情形：无样本观测值或样本观测量过少，无法计算标准误及误差边际，不适合进行统计检验；
2. 无样本观测值或样本观测量过少，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式分布的最低区间或最高区间，无法计算中位数比值；
3. 中位数落在开放式分布的最低区间或最高区间；
4. 不适合进行统计检验；
5. 估计值已受控调整；
6. 针对抽样变异性的统计检验不适用；
7. 样本量过小，无法展示该地理区域的相关数据。