ACS Household Income Distribution Variables - Boundaries - Broward County

Reference Layer: ACS Household Income Distribution Variables - Boundaries __________________________________________________________________________________________________________ This layer shows household income ranges and cutoffs. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. 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 percentage of households that make under $75,000 annually. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020 ACS Table(s): B19001 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022 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 is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. 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.参考图层：美国社区调查（American Community Survey, ACS）家庭收入分布变量——边界图层 __________________________________________________________________________________________________________ 本图层以普查区、县、州界为载体，展示家庭收入区间与分界阈值。本服务每年更新，纳入最新发布的美国社区调查（ACS）5年周期数据，包含估计值与误差边际。此外还包含与该主题相关的衍生计算属性，可用于制图或分析工作。本图层的符号化设置用于展示年收入低于75000美元的家庭占比。如需查看本服务中所有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"。 当前数据版本：2016-2020年ACS表（表号：B19001） 数据来源：美国人口普查局美国社区调查API API调用日期：2022年3月17日 全国统计数据：data.census.gov 美国人口普查局美国社区调查（ACS）：调研概况、地理分区与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、自定义应用与移动应用中使用，数据也可导出用于离线作业。如需了解ACS图层的更多信息，请访问常见问题解答页面。使用本数据时，请引用美国人口普查局与ACS。 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性通过误差边际体现。本页面展示的为90%置信水平的误差边际，其含义为：估计值加减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《数据准确性》文档），但本表格未体现非抽样误差的影响。 数据处理说明：本图层会在每年普查局发布最新版本ACS数据时自动更新（通常在12月），始终包含最新可用的ACS 5年周期估计值，每年更新时间与普查局发布计划相差不超过数日。点击此处可了解ACS数据发布的更多详情。 边界数据来源于美国人口普查局TIGER地理数据库，具体为国家州以下地理数据库（文件名为tlgdb_(年份)_a_us_substategeo.gdb）。边界数据与统计数据每年同步更新，且边界版本与普查局指定的数据版本完全匹配。为制图需求，本图层已移除普查边界中的水体与海岸线要素。 针对普查区，水体移除范围源自TIGER提供的2020年区域水文边界子集。面积≥5000万平方米的大中型水体与河流，以及其他重要地物，均已从普查区边界中移除。针对州与县边界，水体与海岸线源自2020年500k TIGER制图边界形状文件的海岸线数据，移除这些要素可更精准地呈现海岸线与五大湖轮廓。 数据表格中仍保留原始的AWATER与ALAND字段（单位：平方米）。州图层共包含52条记录，涵盖美国所有州、华盛顿特区以及波多黎各。本数据服务已移除水体区域（如海洋）内无人口的普查区（即以99开头的普查区）。 占比与衍生计数及其对应的误差边际均为计算值（可通过字段名中的"_calc_"前缀识别），且符合美国社区调查的相关规范。字段别名的命名依据美国社区调查汇总文件文档页面提供的表结构文件生成。 部分负值（如-4444…）已被设置为空值，仅-5555…被设置为0。原始API数据中的此类负值用于表示以下情形： 1. 误差边际列显示：无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，不适用于统计检验。 2. 无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式分布的最低区间或最高区间，无法计算中位数比率。 3. 中位数落在开放式分布的最低区间或最高区间。 4. 不适用于统计检验。 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。