Data impacts of changes in U.S. Census Bureau procedures for race and ethnicity data

IF 3.6 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Elizabeth Arias , Carolyn A. Liebler , Marc A. Garcia , Rogelio Sáenz
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引用次数: 0

Abstract

Beginning with the 2020 decennial census and the 2020 American Community Survey (ACS), the U.S. Census Bureau implemented changes in question design, data processing, and coding procedures for the race and ethnicity data they collect that appear to have resulted in major data discontinuity. However, the Census Bureau has not released nor plans to release research showing the impact of these changes. We explore the impact of the Census Bureau's procedural changes on the racial and ethnic distributions of the Hispanic (generally and by country of origin) and the American Indian and Alaska Native populations, the two populations most impacted by these changes. We use the 2019 and 2021 one-year ACS public-use microdata and 2019 and 2021 NCHS mortality data to compare racial distributions and estimate and compare select demographic and socioeconomic characteristics, and mortality measures across the two years. Our results show that changes the Census Bureau implemented beginning with the 2020 decennial census and ACS appear to have had a significant impact on the comparability of Census Bureau race and ethnicity data. We find a significant data discontinuity impacting a wide variety of demographic, socioeconomic, and mortality statistics and analyses that rely on U.S. Census Bureau data as input for calculations. To mitigate these effects, methods that bridge race and ethnicity data between pre- and post-2020 census data are needed. Our research brings new attention and clarity to the race and ethnicity data discontinuity in Census Bureau data that started in 2020.
美国人口普查局种族和民族数据程序变化对数据的影响。
从2020年十年一次的人口普查和2020年美国社区调查(ACS)开始,美国人口普查局对他们收集的种族和民族数据的问题设计、数据处理和编码程序进行了修改,这些修改似乎导致了主要的数据不连续性。然而,人口普查局没有发布也没有计划发布显示这些变化影响的研究。我们探讨了人口普查局的程序变化对西班牙裔(总体上和按原籍国划分)、美国印第安人和阿拉斯加土著人口的种族和民族分布的影响,这两个人口受这些变化的影响最大。我们使用2019年和2021年一年的ACS公共使用微数据以及2019年和2021年的NCHS死亡率数据来比较种族分布,并估计和比较两年内选定的人口统计学和社会经济特征以及死亡率指标。我们的研究结果表明,人口普查局从2020年十年一次的人口普查和ACS开始实施的变化似乎对人口普查局种族和民族数据的可比性产生了重大影响。我们发现一个显著的数据不连续性影响了大量依赖美国人口普查局数据作为计算输入的人口、社会经济和死亡率统计和分析。为了减轻这些影响,需要在2020年前和2020年后的人口普查数据之间建立种族和民族数据的桥梁。我们的研究为人口普查局从2020年开始的种族和民族数据的不连续性带来了新的关注和清晰。
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来源期刊
Ssm-Population Health
Ssm-Population Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
2.10%
发文量
298
审稿时长
101 days
期刊介绍: SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.
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