Basic Demographics Age and Gender - Seattle Neighborhoods

Table from the American Community Survey (ACS) 5-year series on age and gender related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B01001 Sex by Age, B01002 Median Age by Sex. 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): B01001, B01002 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.本数据集表格源自美国社区调查（American Community Survey, ACS）5年系列数据，针对西雅图市议会选区、综合规划增长区及社区报告区的年龄与性别相关主题制作。表格涵盖B01001《性别与年龄》、B01002《分性别年龄中位数》。数据源自最新ACS数据年份的街区组（block group）表格，并根据街区组归属关系汇总至各社区。 数据年份：2024年ACS 表格代码：B01001、B01002 数据下载来源：美国人口普查局Explore Census Data平台 美国人口普查局美国社区调查（ACS）相关资源：调查概况、地理与ACS技术文档、新闻与更新 本即用型图层可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表盘、Story Maps、自定义应用与移动应用中使用，数据也可导出以支持离线工作流。使用本数据时，请引用美国人口普查局与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。抽样变异性带来的估计值不确定程度通过误差范围体现，此处展示的为90%置信水平的误差范围。误差范围可理解为：估计值减去误差范围与估计值加上误差范围所构成的置信区间，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详见《数据精度》一文），本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，具体为国家次州地理数据库（命名格式为`tlgdb_(年份)_a_us_substategeo.gdb`）。边界与数据同步更新，更新周期为每年，且边界年份与人口普查局指定的数据年份完全匹配。为满足制图与绘图需求，本数据已从普查边界中移除水体及海岸线。 对于普查区（census tract），水体移除范围源自TIGER提供的2020年面状水文边界子集。面积不小于5000万平方米的大中型水体与河流，以及其他重要地物，均已从普查区层级的边界中移除。 对于州与县级边界，水体及海岸线源自2020年500k分辨率TIGER制图边界形状文件中的海岸线数据，已移除这些内容以更精准地呈现海岸线与五大湖区域。 原始的AWATER与ALAND字段仍作为属性保留在数据表中，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。 位于海洋等水域区域的无人口普查区（编号以99开头的普查区）已从本数据服务中移除。 百分比、衍生计数及相关误差范围均为计算值，可通过字段名中的`_calc_`标识符识别，且符合美国社区调查的相关规范。字段别名源自美国社区调查汇总文件文档页面中提供的表格框架文件。 除`-5555...`已被设为0外，其余负值（如`-4444...`）均已被设为空值。原始API数据中的此类负值用于表示以下情形： 1. 误差范围列显示：无可用样本观测值或样本观测值过少，无法计算标准误及误差范围，此时不适合进行统计检验； 2. 无可用样本观测值或样本观测值过少，无法计算估计值；或由于中位数估计值落在开放式分布的最低区间或最高区间内，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内； 4. 不适合进行统计检验； 5. 估计值已受控； 6. 不适用于抽样变异性的统计检验； 7. 样本量过小，无法展示该地理区域的数据。