Languages and English Ability - Seattle Neighborhoods

Table from the American Community Survey (ACS) 5-year series on languages spoken and English ability related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B16004 Age by Language Spoken at Home by Ability to Speak English, C16002 Household Language by Household Limited English-Speaking Status. 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): B16004, C16002 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年系列报告，涵盖西雅图市议会选区、综合规划增长区与社区报告区域内，与家庭语言使用及英语能力相关的主题表格。表格包含B16004《按在家使用语言及英语能力划分的年龄》、C16002《按家庭有限英语能力划分的家庭语言》两类数据。 数据源自最新ACS年份的街区组（block group）表格，并依据街区组归属关系汇总至各社区。本次采用的ACS数据年份为2024年，涉及表格为B16004、C16002，数据下载自美国人口普查局的"Explore Census Data"平台。 美国人口普查局的美国社区调查（ACS）相关资源包括调查介绍、地理与ACS技术文档、新闻与更新板块。 该预制图层可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、Story Maps、自定义应用及移动应用中使用，也可导出用于离线工作流程。使用本数据时请务必注明美国人口普查局及ACS。 美国人口普查局数据说明：数据基于抽样调查，存在抽样变异性。抽样变异性引发的估计不确定性以误差范围（margin of error）表征，本次展示的为90%置信水平的误差范围，即由估计值加减该误差范围所定义的区间（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（非抽样变异性的详细讨论可参阅《数据准确性》文档），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拓扑集成地理编码与参照系统（Topologically Integrated Geographic Encoding and Referencing, TIGER）地理数据库，具体为全国次州地理数据库（命名格式为`tlgdb_(年份)_a_us_substategeo.gdb`）。边界数据与数据更新同步（每年更新一次），且边界年份与普查局指定的数据年份完全匹配。为适配制图与绘图需求，本数据已剔除普查边界中的水体及海岸线：对于普查街区（census tract），水体裁剪范围源自TIGER发布的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物已从街区级边界中剔除；对于州与县级边界，水体及海岸线裁剪范围源自2020年500k分辨率TIGER制图边界形状文件的海岸线，以更精准呈现海岸线及五大湖区域。数据表格仍保留原始的AWATER与ALAND字段，单位为平方米。本州级图层共包含52条记录，涵盖美国全部州、哥伦比亚特区及波多黎各。 本数据服务已剔除位于水体区域（如海洋）的无人口普查街区——即街区代码以99开头的普查街区。百分比、派生计数及其关联的误差范围均为计算所得值（字段名称带有"_calc_"前缀），且符合美国社区调查的规范要求。字段别名依据美国社区调查汇总文件文档页面中的表格框架文件生成。 除-5555…已被置为0外，其余负值（如-4444…）均已设为空值。原始应用程序编程接口（Application Programming Interface, API）数据中的负值用于标识以下情形： 1. 误差范围列表明无足够抽样观测值用于计算标准误及误差范围，不适合进行统计检验； 2. 无足够抽样观测值用于计算估计值，或因其中一个或两个中位数估计值落在开放分布的最低区间或最高区间，无法计算中位数比值； 3. 中位数落在开放分布的最低区间或最高区间； 4. 不适合进行统计检验； 5. 估计值为受控值，不适合进行抽样变异性统计检验； 6. 该地理区域的样本量过小，无法展示数据。