美国人口普查局对种族和种族数据的程序变化的数据影响
Elizabeth Arias1, Carolyn A Liebler2, Marc A Garcia3
1National Center for Health Statistics, 3311 Toledo Road, Hyattsville, MD, 20782, USA.
SSM - population health
|February 3, 2025
概括
新的美国人口普查局 (USCB) 从2020年开始的种族和民族数据变化造成了显著的数据不连续性. 这影响了人口,社会经济和死亡率统计,需要新的数据可比性方法.
科学领域:
- 人口统计学 人口统计学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 美国人口普查局 (USCB) 引入了从2020年十年人口普查和美国社区调查 (ACS) 开始收集种族和种族数据的程序变化.
- 这些变化可能带来了重大数据不连续性,但USCB没有发表有关其影响的研究.
- 西班牙裔和美洲印第安人/阿拉斯加原住民人口受到这些变化的影响最大.
研究的目的:
- 调查USCB程序变更对种族和民族分布的影响.
- 分析受影响人口的人口统计,社会经济和死亡率特征的变化.
主要方法:
- 利用了2019年和2021年一年的ACS公共使用微数据.
- 雇员2019年和2021年国家卫生统计中心 (NCHS) 死亡率数据.
- 2019年至2021年间的比较种族分布和估计的人口,社会经济和死亡率指标.
主要成果:
- 在2020年后的USCB种族和民族数据中观察到显著的数据不连续性.
- 程序变化影响了人口,社会经济和死亡率统计数据的可比性.
- 基于2020年前后USCB数据的分析受到影响.
结论:
- 从2020年开始的USCB数据变化对数据可比性产生了重大影响.
- 需要方法来跨越2020年之前和之后的数据集之间的种族和种族数据.
- 这项研究强调了解决USCB数据中种族和种族数据不连续性的关键需求.
关键词:
人口普查种族编码变化 人口普查种族编码变化人口普查种族问题民族身份 民族身份西班牙裔西班牙裔.拉丁裔拉丁裔是什么意思多个种族的多个种族.种族 种族 种族 种族人口的种族组成 人口的种族组成一些其他种族的种族.更多相关视频
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