ACS Transportation to Work (Latest)

This layer shows workers' place of residence by mode of commute. 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): B08301 (Not all lines of this ACS table are available in this feature layer.) 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.

本图层展示了按通勤方式分类的劳动者居住地分布情况，以普查区域（tract）、县（county）及州（state）边界为统计单元进行呈现。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）5年期数据，包含各类估算值及其误差边际。此外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。若要查看本服务中可用的完整属性列表，请进入"Data"标签页，并选择右上角的"Fields"选项。
当前数据发布版本：2020-2024年ACS问卷表B08301（本要素图层未包含该ACS表的所有行数据）。
数据下载自美国人口普查局的ACS API，API调用日期为2026年1月29日。全国统计数据可访问data.census.gov获取。
美国人口普查局美国社区调查（ACS）：关于本调查 | 地理信息与ACS技术文档 | 新闻与更新

本现成可用的图层可在ArcGIS Pro、ArcGIS Online、其可配置应用、仪表板、Story Maps、自定义应用及移动应用中使用。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）页面。使用本数据时，请引用美国人口普查局及ACS的相关成果。

数据说明（来自美国人口普查局）：本数据基于抽样调查，存在抽样变异性。由抽样变异性带来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%置信度的误差边际，其含义为：估算值加减误差边际所形成的区间（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，请参见《数据的准确性》一文），本表格未体现非抽样误差的影响。

数据处理说明：本图层会在每年ACS最新版本数据发布时自动更新，通常为每年12月。本图层始终包含最新可用的ACS 5年期估算值，会在美国人口普查局发布新数据后的数日内完成年度更新。点击此处可了解更多关于ACS数据发布的详情。

本图层的边界数据源自美国人口普查局TIGER地理数据库，具体为国家次州地理数据库（命名格式为tlgdb_(year)_a_us_substategeo.gdb）。边界数据会与数据同步每年更新，且边界版本与美国人口普查局指定的数据版本完全匹配。为满足制图与绘图需求，本图层已移除普查边界中的水域及海岸线要素。

对于普查区域（tract），水域裁剪源自TIGER提供的2020年面积水文边界子集（下载ZIP文件约500MB）。面积达5000万平方米及以上的水体与河流（大中型水体）及其他重要要素已从普查区域边界中移除。

对于州及县边界，水域及海岸线源自2020年500k TIGER制图边界形状文件的海岸线数据，已进行移除处理以更精准地呈现海岸线及五大湖区域。原始的AWATER与ALAND字段仍可作为数据表格中的属性使用（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及波多黎各。

本数据服务已移除位于水域区域（如海洋）且无人口的普查区域（以99开头的普查区域代码）。路易斯安那州的2个普查区域（代码分别为22075050100与22087030105）已进行简化以减少顶点数量。

百分比与衍生计数及其对应的误差边际均为计算所得值（可通过字段名中的"_calc_"前缀识别），且符合美国社区调查的相关规范。字段别名名称基于美国社区调查汇总文件文档页面提供的表壳（Table Shells）文件生成。

除-5555…已被设置为0外，其余负值（如-4444…）均已被设置为空值。原始API数据中的这些负值用于指示以下情形：
1. 误差边际列表明无抽样观测值或抽样观测值过少，无法计算标准误差及误差边际，此时不适合进行统计检验。
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. 不适合进行统计检验。
5. 估算值已被控制。
6. 不适合进行抽样变异性的统计检验。
7. 由于抽样案例数量过少，无法展示该地理区域的数据。