ACS Housing Units Occupancy Variables - Broward County

Reference Layer: ACS Housing Units Occupancy Variables ____________________________________________________________________________________________________________ This layer shows housing occupancy, tenure, and median rent/housing value. 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. Homeownership rate on Census Bureau's website is owner-occupied housing unit rate (called B25003_calc_pctOwnE in this layer). This layer is symbolized by the overall homeownership rate. 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): B25002, B25003, B25058, B25077, B25057, B25059, B25076, B25078 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（ACS）住房单元占用相关变量 ____________________________________________________________________________________________________________ 本图层展示住房占用情况、住房权属以及租金中位数与住房价值。数据以普查区（tract）、县、州界为空间边界展示。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，包含估算值与误差边际（margin of error）。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。 美国人口普查局官网披露的住房自有率，即自有住房单元占比（本图层中字段名为B25003_calc_pctOwnE）。本图层以整体住房自有率进行符号化渲染。如需查看本服务中所有可用属性列表，请前往"数据"选项卡，并选择右上角的"字段"菜单。 当前数据版本：2016-2020年ACS数据集，涉及表项：B25002、B25003、B25058、B25077、B25057、B25059、B25076、B25078 数据下载来源：美国人口普查局ACS应用程序编程接口（API） API调用日期：2022年3月17日 全国统计数据来源：data.census.gov 美国人口普查局美国社区调查（ACS）：关于调查、地理信息与ACS技术文档、新闻动态 本即开即用图层可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、Story Maps（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工作流程。如需了解更多ACS图层相关信息，请访问FAQ（常见问题解答）。使用本数据时，请引用美国人口普查局与ACS数据源。 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算值不确定程度通过误差边际体现。本处展示的为90%置信水平下的误差边际，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%的概率包含真实数值。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：每年12月美国人口普查局发布最新版ACS数据后，本图层将自动更新，始终包含最新可用的ACS 5年周期估算值，更新时效通常在人口普查局发布日程的数日之内。点击此处可了解更多ACS数据发布相关信息。 空间边界数据来源于美国人口普查局TIGER地理数据库，具体为全国次州级地理数据库（命名格式为tlgdb_(年份)_a_us_substategeo.gdb）。边界数据与统计数据同步更新（每年一次），边界版本与人口普查局指定的数据版本完全匹配。 为制图与绘图需求，本图层已移除普查边界中的水域及海岸线。对于普查区，水域裁切范围源自TIGER提供的2020年面状水文边界子集。面积≥5000万平方米的水体与河流（大中型水体）以及其他重要地物已从普查区边界中移除。 对于州与县级边界，水域及海岸线源自2020年50万比例尺TIGER制图边界形状文件的海岸线数据，移除操作旨在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，单位为平方米。 州级图层包含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。 本数据服务已移除无人口的水域区域普查区（即以99开头的普查区）。 百分比与派生计数值及其对应的误差边际均为计算所得（字段名称中带有"_calc_"前缀），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壳（Table Shells）文件生成。 除-5555…已被设置为0外，其余负值（例如-4444…）均已被设置为空值。原始API数据中的负值用于标识以下情形： 1. 误差边际列显示：无抽样观测值或抽样观测值过少，无法计算标准误及误差边际，不适合开展统计检验； 2. 无抽样观测值或抽样观测值过少，无法计算估算值；或因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，无法计算中位数比值； 3. 中位数落在开放式分布的最低区间或最高区间； 4. 不适合开展统计检验； 5. 估算值为受控值； 6. 不适合开展抽样变异性统计检验； 7. 因抽样案例数量过少，无法展示该地理区域的数据。