City of Seattle King County Medians

Table from the American Community Survey (ACS) 5-year series for King County and City of Seattle median values for a variety of topics including age, gross rent, monthly owner costs, family and nonfamily incomes, earnings. Includes the margin of error for the values. Vintages: 2010, 2015, 2020, 2024 ACS Table(s): B01002, B25064, B25088, B19013, B19113, B19202, B20017 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.本数据集取材自美国社区调查（American Community Survey, ACS）5年系列统计，涵盖金县（King County）与西雅图市（City of Seattle）多维度的中位数统计值，涉及年龄、总租金、月度业主住房成本、家庭与非家庭收入、薪资收入等主题，并附带各统计值的误差边际。涉及年份为2010、2015、2020、2024年的ACS数据表，表编号包括B01002、B25064、B25088、B19013、B19113、B19202、B20017。 数据下载自美国人口普查局的"Explore Census Data"平台，相关介绍可参见美国人口普查局美国社区调查官方页面：调查概况、地理信息与ACS技术文档、新闻与更新。 该预制图层可直接在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、故事地图、自定义应用与移动应用中使用，也可导出数据用于离线工作流。使用本数据时请注明引用美国人口普查局与ACS。 美国人口普查局的数据说明：本数据基于抽样调查，受抽样变异性影响。抽样变异性带来的估计不确定性通过误差边际（margin of error）体现，此处展示的为90%置信度的误差边际，其含义为：由估计值加减误差边际所构成的置信区间，有90%的概率包含真实数值。除抽样变异性外，ACS估计值还受非抽样误差影响（非抽样变异性的详细讨论可参见《数据精度》文档），本数据表未体现非抽样误差的影响。 数据处理说明：本数据集的边界数据取自美国人口普查局TIGER拓扑地理编码与参照系统（Topologically Integrated Geographic Encoding and Referencing, 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"）。边界随数据同步每年更新，边界版本与普查局指定的数据版本完全匹配。 为满足制图与地图绘制需求，本数据已移除普查边界中的水体与海岸线要素：对于普查区块组，水体裁剪范围取自TIGER提供的2020年面积水文边界子集，移除面积≥5000万平方米的大中型水体与河流，以及其他重要地物；对于州与县级边界，水体与海岸线取自2020年500k TIGER制图边界Shapefile的海岸线数据，以更精准地呈现海岸线与五大湖区域。原AWATER与ALAND字段（单位：平方米）仍保留为数据表中的属性字段。 本州图层包含52条记录，涵盖美国全部州、华盛顿哥伦比亚特区与波多黎各。本数据服务已移除水域区域（如海洋）内无人口的普查区块组（即以99开头的普查区块组）。 百分比与派生计数及其对应的误差边际为计算所得值（字段名带有"_calc_"前缀），严格遵循ACS的规范要求。字段别名基于美国社区调查摘要文件文档页面提供的表壳（Table Shells）文件生成。 除-5555…已被设置为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. 误差边际列表明无足够抽样观测值用于计算标准误与误差边际，不适用于统计检验； 2. 无足够抽样观测值用于计算估计值，或因中位数估计值落在开放式分布的最低或最高区间内，无法计算中位数比率； 3. 中位数落在开放式分布的最低或最高区间内； 4. 不适用于统计检验； 5. 估计值为受控值，不适用于抽样变异性的统计检验； 6. 样本量过小，无法展示该地理区域的数据。