遇见数据集

2010-2014 ACS Housing Tenure by Heating Fuel Variables - Boundaries

收藏
ArcGIS Hub2026-05-11 更新2026-08-20 收录
官方服务:

资源简介:

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows tenure (owner or renter) by type of heating fuel. 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 predominant type of heating fuel mostly used in occupied housing units. Only predominant values are shown in the legend, but the count of all housing units is represented in the popup. 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): B25040, B25117 (Not all lines of ACS table B25117 are available in this feature layer.) 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,涵盖各类估计值与误差边际。该图层按取暖燃料类型展示住房保有状态(自有或租赁),并以普查区、县及州界为统计边界呈现。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。 本图层采用符号化渲染,以展示已入住住房单元中主流使用的取暖燃料类型。图例仅显示主流燃料类型,但弹出窗口将展示所有住房单元的总数。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"。 数据版本:2010-2014年ACS表:B25040、B25117(本要素图层并非包含ACS表B25117的所有行)。 数据下载来源: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):关于本次调查、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、仪表盘、Story Maps、自定义应用及移动应用中使用。数据还可导出用于离线工作流。若需了解更多关于ACS图层的信息,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。 数据说明(美国人口普查局发布): 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。此处展示的为90%置信水平的误差边际,其含义为:估计值减去误差边际与估计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》)。本表格未体现非抽样误差的影响。 数据处理说明: 本图层附带由美国人口普查局发布的最新ACS数据关联图层。点击此处了解更多ACS数据发布信息,点击此处获取关联的边界图层。本数据与最新版本数据相差5年以上,是由于调查年份存在重叠。美国人口普查局建议对比非重叠数据集。 边界数据来源于美国人口普查局TIGER地理数据库(TIGER geodatabases)。边界版本(2014年)与人口普查局指定的数据版本完全匹配。为满足制图需求,这些普查边界已裁剪掉水体及海岸线部分。对于普查区,水体裁剪范围来源于TIGER提供的2010年AWATER(水域面积)边界子集;对于州与县边界,水体及海岸线来源于50万比例尺TIGER制图边界形状文件的海岸线数据。原始AWATER与ALAND字段仍作为属性保留在数据表中(单位为平方米)。 州图层包含52条记录——涵盖美国所有州、华盛顿哥伦比亚特区及波多黎各。 本数据服务已移除位于海洋等水域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),并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汇总文件文档页面中的表壳文件(Table Shells file)创建。 除-5555…这类值已被设为0外,其余负值(如-4444…)均已被设为空值。这些原始API数据中的负值用于指示以下情况: 1. 误差边际列显示:无足够样本观测值可用于计算标准误,因此无法计算误差边际,不适宜进行统计检验。 2. 无足够样本观测值可用于计算估计值,或无法计算中位数比率,因为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内。 3. 中位数落在开放式分布的最低区间或最高区间内,不适宜进行统计检验。 4. 估计值已被控制,不适宜进行抽样变异性统计检验。 5. 样本量过小,无法展示该地理区域的数据。

提供机构:
Esri
创建时间:
2020-11-20
二维码
社区交流群
二维码
科研交流群
商业服务