Age-Specific Net Migration Estimates for US Counties, 2010-2020: Data Generation & Archiving

2010-2020 年美国各县特定年龄净移民估计：数据生成

• 批准号: 10133107
• 负责人: Katherine J. Curtis
• 金额: $ 8.08万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10133107
• 关键词: Administrator; Age; Age-Years; Alaska Native; American Indians; Archives; Area; Asian Indian; Asians; Baby Booms; Birth; Categories; Censuses; Cessation of life; Characteristics; Charts and Tables; Child Health; Childhood; Color; Communities; Community Developments; Country; County; Custom; Data; Data Set; Data Sources; Demographer; Demography; Destinations; Economic Development; Economics; Education; Educational workshop; Elderly; Ensure; Ethnic Origin; Ethnic group; Face; Family; Fertility; Funding; Generations; Health; Health Personnel; Health Policy; Health Services; Health Services Needs; Health Status; Health behavior; Health education; Health system; Healthcare; Hispanics; Housing; Immigration; Inequality; Internal Migrations; Labor Forces; Laboratories; Life Expectancy; Maps; Measures; Medical Staff; Mental Health; Methods; Migrant; National Institute of Child Health and Human Development; Natural Increases; Out-Migrations; Outcome; Pattern; Personal Satisfaction; Policy Maker; Politics; Population; Press Releases; Public Health; Race; Records; Research; Research Personnel; Residual state; Risk; Sampling; Sampling Errors; Services; Shapes; Site; Social Work; Spatial Distribution; Structure; Time; Translating; United States National Center for Health Statistics; United States Public Health Service; Universities; Update; Visit; Wisconsin; Woman; Work; age group; aging population; archive data; archived data; baby boomer; base; care systems; child bearing; cohesion; cohort; experience; health care availability; health care service; health disparity; health disparity populations; improved; infrastructure development; interest; longitudinal dataset; migration; mortality; outreach; population health; prenatal; racial and ethnic; racial population; rural area; rural counties; rurality; service providers; sex; social; socioeconomics; suburb; trend; web interface; web site; webinar; young adult

This project will produce and disseminate a publicly available dataset of net migration estimates for all US counties by five-year age group, sex, race, and Hispanic origin for the 2010-2020 decade. In addition, the project will provide access to these data for a broad community of researchers and practitioners in demography and population health through an interactive website for on-line mapping, analysis, and data downloads. The 2010-2020 estimates will be integrated with similar net migration estimates produced each decade since 1950 to generate a longitudinal dataset of 70 years of age-specific net migration for all US counties. The project will derive estimates using a forward cohort residual method, subtracting a measure of natural increase from population change over the period to generate net migrants. Estimates will be highly accurate and reliable. We will produce them by using high quality data that avoid sampling error, including enumerations from Census 2010 and 2020 and administrative records of all US births and deaths from the National Center for Health Statistics. These estimates will be critically important for research on a variety of population and population health policy-relevant topics at the crux of which is migration patterns and trends: migration of the baby boom cohort and its impact on health care demand at destination; race-specific migration patterns and subsequent health disparities for populations of color; the persistence of high out-migration regions and its contribution to shrinking economies; and young adult out-migration and its impact on the health of the population that remain (i.e., mental health, health behaviors, life expectancy). Age-specific migration’s spatial distribution influences the age structure of communities, with significant implications for population aging, child health, education, and economic well-being. Selective migration by age, sex, and race/ethnicity alters counties’ population composition, having significant implications for health service provisioning and staffing, service infrastructure development, economic and labor market conditions, fertility, and mortality. Accurate net migration estimates by detailed demographic characteristics are essential for research analyzing place-based age- specific migration patterns and their relationship with health factors and outcomes, and for practitioners planning for public health services, civic infrastructure, and community and economic development. The proposed set of county-level net migration estimates are vital to applied demographers making small area population estimates and projections, which are the basis of health service planning efforts. Without the proposed data, there will be no age- or race/ethnic-specific county-level migration estimates for the post 2010 period for all US counties. The team will make the data available and accessible to planners, healthcare administrators, health policy-makers, and other decision-makers and publics. The data will be archived with the Inter- University Consortium for Political and Social Research, and accessible to all via a free website hosted by the University of Wisconsin-Madison’s Applied Population Laboratory. The team will offer data workshops and work with the press to ensure the data are accessible and translatable.

该项目将制作并传播美国所有县的净移民估计数的公开数据集