ACS Population (Latest)

This layer shows total population count by sex and age group. 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 from the the U.S. Census Bureau, 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. 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: 2020-2024 ACS Table(s): B01001 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 29, 2026 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 U.S. 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 (download ZIP file here, ~500MB). 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 U.S. 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). Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count. 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.本图层展示了按性别和年龄组划分的总人口数，以普查区（tract）、县（county）和州（state）边界为统计单元进行呈现。 本服务每年更新一次，纳入美国人口普查局（U.S. Census Bureau）最新发布的美国社区调查（American Community Survey, ACS）5年期数据，包含各类估算值与误差边际。 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。若要查看本服务中可用的完整属性列表，请前往「数据」选项卡，并选择右上角的「字段」选项。 当前数据年份（Vintage）：2020-2024年ACS表（Table(s)）：B01001 数据下载自：美国人口普查局美国社区调查API API调用日期：2026年1月29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）： 关于该调查 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、其可配置应用、仪表板、Story Maps、自定义应用以及移动应用中使用。数据也可导出用于离线工作流程。若需了解更多关于ACS图层的信息，请访问FAQ。使用本数据时，请引用人口普查局与ACS相关成果。 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。此处显示的为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（即置信下限与上限）构成的区间，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《数据的准确性》一文），但本表格未体现非抽样误差的影响。 数据处理说明：本图层每年会在最新一期ACS数据发布时自动更新，通常为每年12月。图层始终包含最新可用的ACS 5年期估算值，更新时间与人口普查局的发布日程相差不超过数日。点击此处可了解更多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（TIGER geodatabases），具体为全国次州级地理数据库（命名格式为`tlgdb_(year)_a_us_substategeo.gdb`）。边界数据与人口统计数据同步更新（每年一次），且边界数据的年份与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。 针对普查区，水体裁剪数据源自TIGER提供的2020年面积水文边界子集（可在此处下载压缩包，大小约500MB）。面积大于等于5000万平方米的水体及河流（中大型水体），以及其他重要要素，均已从普查区边界中移除。针对州与县级边界，水体与海岸线数据源自2020年500k TIGER制图边界形状文件的海岸线数据，已移除相关要素以更精准地呈现海岸线与五大湖区域。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，涵盖美国所有州、华盛顿哥伦比亚特区以及波多黎各。本数据服务已移除位于海洋等水域区域且无人口的普查区（即编号以99开头的普查区）。路易斯安那州的2个普查区（22075050100与22087030105）已进行简化以减少顶点数量。 百分比与衍生计数及其对应的误差边际均为计算所得值（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。字段别名名称基于美国社区调查汇总文件文档页面提供的表壳文件（Table Shells file）生成。 除-5555…已被设置为0外，其余负值（例如-4444…）均已设置为空值。原始API数据中的这些负值用于表示以下场景： 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，不适宜进行统计检验。 2. 无抽样观测值或抽样观测值过少，无法计算估算值；或无法计算中位数比率，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内。 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内。 4. 不适宜进行统计检验。 5. 估算值已受控。 6. 不适宜进行抽样变异性统计检验。 7. 由于抽样案例数量过少，无法显示该地理区域的数据。