评估加利福尼亚州2020年人口普查区块级估计的准确性
Robert Bozick1, Lane F Burgette1, Ethan Sharygin2
1Department of Economics, Sociology, and Statistics, RAND Corporation, Santa Monica, CA, USA.
Demography
|November 27, 2023
概括
2020年人口普查数据的准确性显示了区块层面的无偏见的总人口计数. 然而,年龄,种族和种族的亚人口数据显示出变化,特别是在大型或郊区区块.
科学领域:
- 人口统计学 人口统计学
- 统计分析 统计分析
- 美国人口普查局的研究.
背景情况:
- 美国人口普查局2020年人口普查数据的准确性对于资源分配和政策制定至关重要.
- 评估人口普查数据质量需要与独立数据源进行比较.
- 2020年人口普查中的保密措施可能会影响数据的准确性.
研究的目的:
- 评估2020年人口普查区块级人口数据的准确性.
- 将2020年人口普查数据与独立调查和预测进行比较.
- 确定影响2020年人口普查数据差异的因素.
主要方法:
- 来自三个来源的区块级人口总数的比较:2020年人口普查,加利福尼亚社区计数和2010年人口普查/ACS预测.
- 分析不同人口群体 (年龄,种族,种族) 的数据准确性.
- 检查与区块大小,位置 (郊区) 和宽带接入有关的数据一致性.
主要成果:
- 2020年人口普查在区块层面的总人口计数显示没有一致的方向偏差.
- 根据年龄,种族和种族计算的亚人口数量显示出显著的变化.
- 在大型街区,郊区和缺乏宽带接入的街区中,不一致性更为明显.
结论:
- 虽然总人口总数是不偏见的,但2020年人口普查中人口亚组数据的准确性需要仔细考虑.
- 诸如区块特征和地理特征等因素影响数据可靠性.
- 需要进行进一步的研究,以了解和减轻特定人口普查区和子群体的数据变化.
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