2010-2014 ACS Context for Senior Well-Being - Boundaries

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Sums may add to more than the total, as people can be in multiple race groups (for example, Hispanic and Black). The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014 ACS Table(s): B01001, B17020, B18101, B23027, B25072, B25093, B27010 (Not all lines of these tables are available in this layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 28, 2020 National Figures: data.census.gov 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. For more information about ACS layers, visit the FAQ. 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: This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets. Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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.本图层包含2010-2014年美国社区调查（American Community Survey, ACS）五年期数据，涵盖各类估计值与误差边际。 本图层通过普查区、县与州界展示了老年福祉相关的人口统计背景信息。此外还包含与该主题相关的额外计算属性，可用于制图或分析工作。 由于人群可同时归属多个种族群体（例如西班牙裔与黑人），分项求和结果可能大于总计数。 本图层采用符号化方式展示65岁及以上人口（老年人口）占比。 如需查看本服务中可用属性的完整列表，请前往「数据」选项卡，并点击右上角的「字段」按钮。 数据版本：2010-2014年ACS；涉及数据表：B01001、B17020、B18101、B23027、B25072、B25093、B27010（本图层未涵盖上述数据表的全部行）。 数据来源：美国人口普查局美国社区调查API；API调用日期：2020年11月28日；全国数据来源：data.census.gov 美国人口普查局美国社区调查（ACS）相关资源：调查介绍、地理信息与ACS技术文档、新闻与更新 本图层为即用型图层，可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表盘、故事地图（Story Maps）、自定义应用与移动应用中使用。数据亦可导出以支持离线工作流。 如需了解ACS图层的更多信息，请访问常见问题解答（FAQ）页面。使用本数据时，请注明引用美国人口普查局与ACS。 美国人口普查局数据说明：本数据基于抽样调查，存在抽样变异性。由抽样变异性导致的估计值不确定程度通过误差边际体现。本图层展示的误差边际为90%置信水平下的误差边际，其含义为：估计值加减该误差边际所形成的区间（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，请参阅《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：本图层附带关联图层，包含美国人口普查局发布的最新ACS数据。点击此处可了解ACS数据发布详情，点击此处可访问关联的边界图层。本数据版本与最新可用数据版本相差5年以上，原因是调查年份存在重叠。美国人口普查局建议使用非重叠数据集进行对比分析。本图层的边界数据源自美国人口普查局TIGER地理数据库。边界版本（2014年）与普查局规定的数据版本完全匹配。为适配制图需求，普查边界已裁剪掉水体与海岸线部分：其中人口普查区的水体裁剪范围源自TIGER发布的2010年AWATER（水域面积）边界子集；州与县界的水体与海岸线则源自50万比例尺TIGER制图边界Shapefile的海岸线数据。原始AWATER与ALAND字段仍作为属性保留在数据表中（单位：平方米）。 州图层共包含52条记录，涵盖全美所有州、华盛顿哥伦比亚特区以及波多黎各。 本数据服务已移除位于海洋等水域区域的无人口普查区（编号以99开头的人口普查区）。 占比、衍生计数及其对应的误差边际均为计算所得值（可通过字段名中的"_calc_"前缀识别），且符合ACS的相关规范。字段别名源自美国社区调查汇总文件文档页面提供的表框架文件。 原始API数据中的负值（如-4444...）已被设置为空值，仅-5555...除外，该值被设置为0。原始API数据中的此类负值用于标识以下场景： 误差边际列：无有效样本观测值或样本观测值过少，无法计算标准误与误差边际，不适合进行统计检验。 无有效样本观测值或样本观测值过少，无法计算估计值；或由于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。 中位数落在开放分布的最低区间或最高区间。 不适合进行统计检验。 估计值已受控。 不适用于抽样变异性的统计检验。 该地理区域的样本量过小，无法展示数据。