Race by Age Groups (B01001A-I)

Table from the American Community Survey (ACS) B01001A-I sex by age by race - data is grouped into three age group categories for each race, under 18, 18-64 and 65 and older. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually. Data on total number of people by each race alone and in combination by each census tract has been transposed to support dashboard visualizations. King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field. The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves. Vintages: 2010, 2015, 2020, 2021, 2022, 2023, 2024 ACS Table(s): B01001 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）B01001A-I种族-性别-年龄交叉表，针对每一类种族，数据被划分为三个非重叠年龄组：18岁以下、18至64岁以及65岁及以上。本数据集包含多份非重叠的五年期ACS人口与住房属性估算结果，最早始于2010年，以对应普查区（census tract）版本标识，同时包含年度更新的最新发布数据。针对每个普查区，按单一种族及种族组合统计的总人口数据已完成转置，以适配仪表盘可视化需求。 本数据集涵盖华盛顿州金县（King County）的普查区数据，采用2010年起的非重叠五年期ACS估算版本，版本信息通过「ACS Vintage」字段标识。普查区边界与ACS数据版本匹配（当前包含2010与2020版本），请注意十年间的地理边界变更情况。普查区已被编码为西雅图市范围内的区域，并被分配至名为「社区报告区域（Community Reporting Areas）」的邻里分组。此类区域于2000年人口普查后创建，用于在时间维度上提供地理一致的邻里区域以发布美国人口普查局的数据，并非用于界定社区自发形成的邻里边界。 可用版本：2010、2015、2020、2021、2022、2023、2024。所用ACS表为B01001。 本数据集下载自美国人口普查局的「Explore Census Data」平台。 美国人口普查局美国社区调查（ACS）：调查简介、地理与ACS技术文档、新闻与更新。 本预制图层可直接在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表盘、故事地图（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工作流程。使用本数据时，请注明引用美国人口普查局与ACS。 数据说明（来自普查局）：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（margin of error）体现。本数据展示的为90%置信水平的误差边际，其含义为：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，有90%的概率包含真实数值。除抽样变异性外，ACS估算结果还存在非抽样误差（关于非抽样变异性的讨论，请参见《数据准确性》文档），此类误差的影响未在本表中体现。 数据处理说明：边界数据源自美国普查局TIGER地理数据库，具体为国家级次州地理数据库（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，本数据已移除普查区边界中的水体及海岸线：针对普查区，水体裁剪源自TIGER提供的2020年面状水文边界子集；面积≥5000万平方米的大中型水体及其他重要地理要素已从普查区边界中移除。针对州与县级边界，水体及海岸线源自2020年500k比例尺TIGER制图边界形状文件的海岸线数据，移除后可更精准地呈现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）。州图层包含52条记录，涵盖美国所有州、哥伦比亚特区及波多黎各。 本数据服务已移除位于水体区域（如海洋）的无人口普查区（即以99开头的普查区）。百分比与衍生计数及其对应的误差边际为计算所得值（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壳（Table Shells）文件创建。除-5555…已被设置为0外，其余负值（如-4444…）均已设置为空值。此类负值在原始API数据中用于标识以下场景： 1. 误差边际列表明：无足够抽样观测值可用于计算标准误，进而无法计算误差边际，此时不适合进行统计检验； 2. 无足够抽样观测值可用于计算估算值，或无法计算中位数比值，因为其中一个或两个中位数估算值落在开放分布的最低区间或最高区间； 3. 中位数落在开放分布的最低区间或最高区间； 4. 不适合进行统计检验； 5. 估算值为受控值，不适合进行抽样变异性统计检验； 6. 由于抽样案例数量过少，无法展示该地理区域的数据。