Department of Sociology, Florida State University, 600 W. College Avenue, Tallahassee, USA.
The Center for Demography and Population Health, Florida State University, Tallahassee, USA.
Sci Data. 2019 Feb 5;6:190005. doi: 10.1038/sdata.2019.5.
Small area and subnational population projections are important for understanding long-term demographic changes. I provide county-level population projections by age, sex, and race in five-year intervals for the period 2020-2100 for all U.S. counties. Using historic U.S. census data in temporally rectified county boundaries and race groups for the period 1990-2015, I calculate cohort-change ratios (CCRs) and cohort-change differences (CCDs) for eighteen five-year age groups (0-85+ ), two sex groups (Male and Female), and four race groups (White NH, Black NH, Other NH, Hispanic) for all U.S counties. I then project these CCRs/CCDs using ARIMA models as inputs into Leslie matrix population projection models and control the projections to the Shared Socioeconomic Pathways. I validate the methods using ex-post facto evaluations using data from 1969-2000 to project 2000-2015. My results are reasonably accurate for this period. These data have numerous potential uses and can serve as inputs for addressing questions involving sub-national demographic change in the United States.
小区域和次国家人口预测对于理解长期人口变化非常重要。我提供了美国所有县 2020-2100 年期间按年龄、性别和种族划分的每五年一次的人口预测。使用历史上美国人口普查数据,按照时间修正的县边界和 1990-2015 年期间的种族群体,我为所有美国县计算了 18 个五年年龄组(0-85+)、两个性别组(男性和女性)和四个种族组(白种非西班牙裔、黑种非西班牙裔、其他非西班牙裔、西班牙裔)的队列变化比(CCR)和队列变化差异(CCD)。然后,我将这些 CCR/CCD 使用 ARIMA 模型作为输入,输入到 Leslie 矩阵人口预测模型中,并将预测结果控制到共享社会经济途径中。我使用 1969-2000 年的数据进行事后评估来验证这些方法,以预测 2000-2015 年的数据。在这段时间内,我的结果相当准确。这些数据有许多潜在的用途,可以作为解决美国次国家人口变化问题的输入。