2020 Census Block Groups Top 50 American Community Survey Data with Seattle Neighborhoods

U.S. Census Bureau 2020 block groups within the City of Seattle with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage. Seattle neighborhood geography of Council Districts, Community Reporting Areas and Comprehensive Plan Growth Areas are also included based on block group assignment. The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood. The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintages: 2024 ACS Table(s): Select fields from the tables listed here Data downloaded from: Census Bureau's Explore Census Data 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. 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: 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 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 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.美国人口普查局2020年西雅图市范围内的人口普查区块组数据集，涵盖高频查询主题的美国社区调查（American Community Survey, ACS）五年期系列数据。数据取自最新一期ACS的区块组统计表格。 同时基于区块组的归属规则，纳入西雅图市议会选区、社区报告区域及综合规划增长区域的社区地理边界数据。 本数据集的人口普查区块组，依据组成区块的2020年十年一次人口普查总人口分布，归属至对应社区。若某区块组的绝大多数人口位于某社区边界范围内，则将该区块组完全划归至该社区。 本地图关联的属性数据每年更新一次，纳入最新发布的ACS五年期调查数据，包含估算值与误差边际。如需查看本服务中可用属性的完整列表，请前往"Data"选项卡，并选择右上角的"Fields"。 数据版本：2024年ACS；可用表格：可从此处列出的表格中选择字段；数据下载来源：美国人口普查局「探索普查数据」平台。 美国人口普查局美国社区调查（ACS）：调查简介、地理信息、ACS技术文档、新闻与更新。 该现成可用的图层可在ArcGIS Pro、ArcGIS Online、其可配置应用、仪表盘、Story Maps、自定义应用及移动应用中使用，数据也可导出用于离线作业流程。 使用本数据时，请引用美国人口普查局与ACS。 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，通过误差边际体现。本数据中展示的为90%置信度的误差边际。误差边际可理解为：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（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《数据精度》一文）。此类表格未体现非抽样误差的影响。 数据处理说明： 边界数据源自美国人口普查局TIGER地理数据库，具体为国家次州级地理数据库（命名格式为`tlgdb_(年份)_a_us_substategeo.gdb`）。边界数据与普查数据同步更新（每年一次），且边界版本与普查局指定的数据版本完全匹配。为制图与绘图需求，本数据已移除普查边界中的水体与海岸线要素。 对于普查区，水体裁剪范围取自TIGER提供的2020年面状水文边界子集。面积≥5000万平方米的水体与河流（大中型水体），以及其他重要要素，均已从普查区层级的边界中移除。 对于州与县级边界，水体与海岸线取自2020年500k分辨率TIGER制图边界形状文件的海岸线数据。移除此类要素可更精准地呈现海岸线与五大湖的轮廓。 数据表格中仍保留原始的`AWATER`与`ALAND`字段（单位：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以及波多黎各。 本数据服务已移除所有位于海洋等水域区域的无人口普查区（即以99开头的普查区）。 百分比与派生计数及其关联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ACS的相关规范。 字段别名基于美国社区调查汇总文件文档页面提供的表格模板文件生成。 除`-5555…`被设置为0外，其余负值（如`-4444…`）均已被设置为空值。原始API数据中的此类负值用于标识以下情形： 1. 误差边际列表明无可用抽样观测值，或抽样观测值过少，无法计算标准误与误差边际，此时不适合进行统计检验； 2. 无可用抽样观测值，或抽样观测值过少，无法计算估算值；或因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，此时不适合进行统计检验； 4. 估算值已被控制，此时不适合进行抽样变异性统计检验； 5. 由于抽样案例数量过少，无法展示该地理区域的数据。