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美国社区调查中不确定性的模式与成因

Patterns and causes of uncertainty in the American Community Survey.

作者信息

Spielman Seth E, Folch David, Nagle Nicholas

机构信息

Geography Department, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA ; Institute of Behavioral Science, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA.

Institute of Behavioral Science, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA.

出版信息

Appl Geogr. 2014 Jan;46:147-157. doi: 10.1016/j.apgeog.2013.11.002.

Abstract

In 2010 the American Community Survey (ACS) replaced the long form of the United States decennial census. The ACS is now the principal source of high-resolution geographic information about the U.S. population. The margins of error on ACS census tract-level data are on average 75 percent larger than those of the corresponding 2000 long-form estimate. The practical implications of this increase is that data are sometimes so imprecise that they are difficult to use. This paper explains why the ACS tract and block group estimates have large margins of error. Statistical concepts are explained in plain English. ACS margins of error are attributed to specific methodological decisions made by the Census Bureau. These decisions are best seen as compromises that attempt to balance financial constraints against concerns about data quality, timeliness, and geographic precision. In addition, demographic and geographic patterns in ACS data quality are identified. These patterns are associated with demographic composition of census tracts. Understanding the fundamental causes of uncertainty in the survey suggests a number of geographic strategies for improving the usability and quality ACS.

摘要

2010年,美国社区调查(ACS)取代了美国十年一度人口普查的长表。如今,ACS是有关美国人口的高分辨率地理信息的主要来源。ACS普查区层面数据的误差幅度平均比2000年长表估计的相应误差幅度大75%。这种增长的实际影响是,数据有时非常不精确,以至于难以使用。本文解释了为什么ACS普查区和街区组估计有很大的误差幅度。统计概念用通俗易懂的英语进行了解释。ACS的误差幅度归因于人口普查局做出的特定方法决策。这些决策最好被视为试图在财务限制与对数据质量、及时性和地理精度的担忧之间取得平衡的妥协。此外,还确定了ACS数据质量中的人口和地理模式。这些模式与普查区的人口构成有关。了解调查中不确定性的根本原因,为提高ACS的可用性和质量提出了一些地理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa40/4232960/ccfedfa46b42/nihms599617f1.jpg

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