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ACS Earnings by Occupation by Sex Variables - Centroids

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ArcGIS Hub2026-05-16 更新2026-08-20 收录
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Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows median earnings by occupational group broken down by sex. This is shown by tract, county, and state centroids. 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. Only full-time year-round workers included. Median earnings is based on earnings in past 12 months of survey. Occupation Groups based on Bureau of Labor Statistics (BLS)' Standard Occupation Classification (SOC). This layer is symbolized to show median earnings of the full-time, year-round civilian employed population. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023 ACS Table(s): B24022 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024 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 and 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 2023 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.

停用通知:本产品自2026年2月起进入成熟支持阶段,将于2027年12月正式停用。目前已有新版本可供使用,Esri建议您更新地图与应用,以切换至新版本。 本图层展示按性别细分的职业群体收入中位数,以普查区(tract)、县及州质心为展示单元。本服务每年更新一次,纳入最新发布的美国社区调查(American Community Survey, ACS)5年期数据,包含估计值与误差边际。此外还包含与该主题相关的额外计算属性,可用于制图或分析工作。 本数据集仅涵盖全职全年工作者,收入中位数基于受访者过去12个月的收入计算得出。职业分组体系源自美国劳工统计局(Bureau of Labor Statistics, BLS)的标准职业分类(Standard Occupation Classification, SOC)。本图层的符号系统用于展示全职全年民用就业人口的收入中位数。 若需查看本服务中可用的完整属性列表,请前往「数据」选项卡,并选择左上角的「字段」选项。 数据年份:2019-2023年。所用ACS表格:B24022(本要素图层未包含该ACS表格的全部行数据。) 数据下载自美国人口普查局美国社区调查应用程序接口(API),API调用日期:2024年12月12日。全国数据来源:data.census.gov。 美国人口普查局美国社区调查(ACS):关于本调查 地理信息与ACS技术文档 新闻与更新 本即用型图层可在ArcGIS Pro、ArcGIS Online及其可配置应用、仪表板、故事地图(Story Maps)、自定义应用及移动应用中使用。数据亦可导出以支持离线工作流程。若需了解更多ACS图层相关信息,请访问常见问题解答(FAQ)页面。使用本数据时,请务必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计值不确定程度通过误差边际体现。此处展示的为90%置信度的误差边际,其含义为:估计值与误差边际的加减区间(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详细讨论,请参阅《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:本图层会在每年最新一期ACS数据发布时自动更新,通常更新时间为12月。本图层始终包含最新可用的ACS 5年期估计值,会在美国人口普查局发布数据后的数日内完成年度更新。点击此处了解更多ACS数据发布相关信息。 本图层的边界数据源自美国人口普查局TIGER地理数据库,具体为全国次州地理数据库(命名格式为`tlgdb_(年份)_a_us_substategeo.gdb`)。边界数据与数据同步进行年度更新,且边界年份与美国人口普查局指定的数据年份完全匹配。为满足制图与绘图需求,本图层已移除普查边界中的水体及海岸线数据。对于普查区,水体裁剪范围取自TIGER提供的2020年面积水文边界子集。面积≥5000万平方米的水体及河流(中大型水体)与其他重要要素已从普查区层级的边界数据中移除。对于州及县级边界,水体及海岸线数据源自2023年500k TIGER制图边界形状文件的海岸线图层,已完成移除以更精准地展示海岸线及五大湖区域。数据表格中仍保留原始的`AWATER`与`ALAND`字段(单位: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(普查区代码以99开头)。 百分比、派生计数及相关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。字段别名基于美国社区调查汇总文件文档页面中的表格外壳文件创建。 除`-5555…`已被设置为0外,其余负值(例如`-4444…`)均已被设置为空值。原始API数据中的这些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,无法计算标准误差及误差边际,此时不适合进行统计检验; 2. 无抽样观测值或抽样观测值过少,无法计算估计值;或无法计算中位数之比,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; 4. 不适合进行统计检验; 5. 估计值已被管控; 6. 不适合进行抽样变异性统计检验; 7. 本地理区域的数据无法展示,因为样本案例数量过少。

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Esri
创建时间:
2018-10-20
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