2010-2014 ACS Education by Veteran Status Variables - Boundaries

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows education level for adults (25+) by veteran status. 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. This layer is symbolized to show the percent of veteran civilians age 25+ who have a bachelor's degree or higher as their highest education level. 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): B21003 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 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）5年周期数据，涵盖估算值与误差边际。该图层按普查区（tract）、县（county）及州（state）界域，展示了25岁及以上成年群体按退伍军人身份划分的受教育水平情况。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。 本图层通过符号化方式，展示25岁及以上退伍平民中，以学士学位及以上为最高受教育水平的人群占比。若要查看本服务中可用属性的完整列表，请前往「数据」选项卡，并选择右上角的「字段」。 数据年代：2010-2014年ACS表（表号：B21003） 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11日 全国数据来源：data.census.gov 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 本现成可用的图层可在ArcGIS Pro、ArcGIS Online、其可配置应用、仪表板、Story Maps、自定义应用及移动应用中使用。数据亦可导出用于离线工作流程。若需了解更多ACS图层相关信息，请访问常见问题解答（FAQ）。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。由抽样变异性导致的估算值不确定程度，通过误差边际体现。此处展示的为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（即置信上下限），有90%的概率包含真实值。除抽样变异性外，ACS估算值还存在非抽样误差（关于非抽样变异性的讨论，请参见《数据的准确性》）。本表格未体现非抽样误差的影响。 ### 数据处理说明 本图层附带包含美国人口普查局最新可用ACS数据的关联图层。点击此处可了解更多ACS数据发布相关信息，点击此处可获取关联的界域图层。本数据与最新可用数据相差5年以上，系因调查年份存在重叠。美国人口普查局建议对比非重叠数据集。 界域数据源自美国人口普查局TIGER地理数据库。界域年代（2014年）与人口普查局指定的数据年代完全匹配。为制图目的，已对包含水域和/或海岸线的普查界域进行裁剪：对于普查区，水域裁剪范围源自TIGER提供的2010年AWATER（Area Water，水域面积）边界子集；对于州和县界域，水域及海岸线源自50万比例尺TIGER制图边界Shapefile的海岸线。原始AWATER与ALAND（Area Land，陆地面积）字段仍作为属性保留在数据表中，单位为平方米。 州图层包含52条记录，涵盖全美所有州、华盛顿哥伦比亚特区及波多黎各。 本数据服务已移除位于水域（如海洋）区域的无人口普查区，即以99开头的普查区。 百分比、衍生计数及关联的误差边际均为计算值，可通过字段名中的「_calc_」前缀识别，且均符合美国社区调查的相关规范。字段别名基于美国社区调查摘要文件文档页面中提供的表壳文件（Table Shells file）创建。 除-5555…已被设置为0外，其余负值（例如-4444…）均已被设置为空值。这些原始API数据中的负值用于表示以下场景： 1. 误差边际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边际，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，无法计算估算值；或无法计算中位数之比，因为其中一个或两个中位数估算值落在开放式分布的最低区间或最高区间； 3. 中位数落在开放式分布的最低区间，或开放式分布的最高区间； 4. 不适合进行统计检验； 5. 估算值已受控，不适合进行抽样变异性的统计检验； 6. 由于样本量过小，无法展示该地理区域的数据。