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.

该项目将生产并传播美国所有县的净迁移估算数据集 到2010-2020年的五岁年龄段，性别，种族和西班牙裔起源。此外，该项目将提供 访问这些数据的人口和人口健康中的广泛研究人员和从业人员 通过交互式网站，用于在线映射，分析和数据下载。 2010 - 2020年将是 自1950年以来每十年产生的相似净迁移估计集成，以生成一个纵向数据集 美国所有县的70岁特异性净迁移。 该项目将使用正向队列残差方法得出估计，从而减去自然增加的量度 从整个时期内的人口变化到产生净移民。估计将是高度准确和可靠的。我们将 通过使用避免采样错误的高质量数据来生产它们，包括2010年和2020年人口普查的枚举 以及美国全国卫生统计中心的所有美国出生和死亡的行政记录。这些估计会 对于研究各种人口和人口健康政策的主题至关重要 这是迁移模式和趋势：婴儿繁荣队列的迁移及其对医疗保健需求的影响 目的地;种族特异性的迁移模式和随后的颜色种群健康分布；持久性 较高的移民区域及其对经济萎缩的贡献；和年轻的成人外移民及其影响 关于剩下的人口的健康（即心理健康，健康行为，预期寿命）。 特定年龄的迁移的空间分布会影响社区的年龄结构，并具有重要的 对人口衰老，儿童健康，教育和经济福祉的影响。按年龄，性别和性迁移 种族/种族改变了县的人口组成，对卫生服务提供和 人员配备，服务基础设施发展，经济和劳动力市场状况，生育能力和死亡率。准确的网 通过详细的人口特征进行的迁移估计对于研究分析的基于地点的年龄至关重要 特定的迁移模式及其与健康因素和成果的关系，并为实践者计划 公共卫生服务，公民基础设施以及社区与经济发展。提议的县级 净迁移估计对于应用小面积人口估算和项目的应用人口统计学者至关重要， 这是卫生服务计划工作的基础。 没有拟议的数据，将不会有年龄或种族/种族特定的县级迁移估计 2010年后，美国所有县。团队将使数据可用，并可以访问计划者，医疗保健 管理员，卫生决策者以及其他决策者和公众。数据将与Inter-Inter- 大学政治和社会研究联盟，所有人都可以通过大学托管的免费网站访问 威斯康星州麦迪逊的应用人口实验室。团队将提供数据研讨会，并与媒体合作 确保数据可访问和转换。