Race in Combination (transposed) - Seattle Neighborhoods

Table from the American Community Survey (ACS) 5-year series on race and ethnicity related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B03002 Hispanic or Latino Origin by Race, B02008-B02013 Race Alone or in Combination with One or More Other. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment. Vintages: 2024 ACS Table(s): B03002, B02008, B02009, B02010, B02011, B02012, B02013 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.本数据集源自美国社区调查（American Community Survey, ACS）5年周期系列，涵盖西雅图市议会选区、综合规划增长区及社区报告区域的种族与族裔相关主题表格。 本次表格包含B03002《按种族划分的西班牙裔或拉丁裔起源》、B02008至B02013《单一种族或与一种及以上其他种族组合》相关数据。 数据取自最新发布版本ACS的街区组（block group）表格，并根据街区组分配规则汇总至各社区。 数据版本：2024年ACS，涉及表格：B03002、B02008、B02009、B02010、B02011、B02012、B02013 数据下载自美国人口普查局的"探索普查数据"平台。 美国人口普查局美国社区调查（ACS）：调查概况、地理信息与ACS技术文档、新闻与更新 本图层可直接使用，支持在ArcGIS Pro、ArcGIS Online、其可配置应用程序、仪表板、故事地图（Story Maps）、自定义应用程序及移动应用中调用，同时支持导出数据用于离线作业。 使用本数据时，请注明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。抽样变异性导致的估计值不确定程度通过误差边际（margin of error）体现。本次展示的误差边际为90%置信水平下的结果，误差边际可理解为：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》章节），本表格未体现非抽样误差的影响。 数据处理说明：地理边界源自美国人口普查局TIGER地理数据库，具体为国家州以下地理数据库（命名格式为tlgdb_(年份)_a_us_substategeo.gdb）。 地理边界与数据同步更新（每年一次），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及/或海岸线要素。 针对普查街区（census tract），水体移除范围源自TIGER提供的2020年区域水文边界子集。 面积不小于5000万平方米的水体与河流（大中型水体）及其他重要要素已从街区层级的边界中移除。 针对州与县级边界，水体及海岸线源自2020年500k分辨率TIGER制图边界形状文件的海岸线数据，移除这些要素可更精准地呈现海岸线与五大湖区域。 原始AWATER与ALAND字段仍作为属性保留在数据表中，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及波多黎各。 位于海洋等水体区域的无人口普查街区（以99开头的普查街区）已从本数据服务中移除。 百分比、派生计数及相关误差边际均为计算值（可通过字段名中的"_calc_"前缀识别），且符合ACS的相关规范要求。 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框架文件（Table Shells file）创建。 除-5555…类负值已设为0外，其余负值（如-4444…）均已设为空值。 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，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，无法计算估计值；或因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，此时不适合进行统计检验； 4. 不适合进行统计检验； 5. 估计值已被控制； 6. 不适合进行抽样变异性统计检验； 7. 样本量过小，无法展示该地理区域的数据。