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Experiencing poverty during childhood can lead to lasting harmful effects that compromise not only children's health and welfare but can also hinder future opportunities for economic mobility, which may be passed on to future generations. This cycle of economic disadvantage weighs heavily not only on children and families experiencing poverty but also the nation, reducing overall economic output and placing increased burden on the educational, criminal justice, and health care systems. Reducing Intergenerational Poverty examines key drivers of long- term, intergenerational poverty, including the racial disparities and structural factors that contribute to this cycle. The report assesses existing research on the effects on intergenerational poverty of income assistance, education, health, and other intervention programs and identifies evidence-based programs and policies that have the potential to significantly reduce the effects of the key drivers of intergenerational poverty. The report also examines the disproportionate effect of disadvantage to different racial/ethnic groups. In addition, the report identifies high-priority gaps in the data and research needed to help develop effective policies for reducing intergenerational poverty in the United States.

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - presents new considerations for responsible data stewardship. Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data provides a framework for managing disclosure risks that accounts for the unique attributes of blended data and poses a series of questions to guide considered decision-making. Technical approaches to manage disclosure risk have advanced. Recent federal legislation, regulation and guidance has described broadly the roles and responsibilities for stewardship of blended data. The report, drawing from the panel review of both technical and policy approaches, addresses these emerging opportunities and the new challenges and responsibilities they present. The report underscores that trade-offs in disclosure risks, disclosure harms, and data usefulness are unavoidable and are central considerations when planning data-release strategies, particularly for blended data.

Since 1790, the U.S. census has been a recurring, essential civic ceremony in which everyone counts; it reaffirms a commitment to equality among all, as political representation is explicitly tied to population counts. Assessing the 2020 Census looks at the quality of the 2020 Census and its constituent operations, drawing appropriate comparisons with prior censuses. The report acknowledges the extraordinary challenges the Census Bureau faced in conducting the census and provides guidance as it plans for the 2030 Census. In addition, the report encourages research and development as the goals and designs for the 2030 Census are developed, urging the Census Bureau to establish a true partnership with census data users and government partners at the state, local, tribal, and federal levels.

Many federal agencies provide data and statistics on inequality and related aspects of household income, consumption, and wealth (ICW). However, because the information provided by these agencies is often produced using different concepts, underlying data, and methods, the resulting estimates of poverty, inequality, mean and median household income, consumption, and wealth, as well as other statistics, do not always tell a consistent or easily interpretable story. Measures also differ in their accuracy, timeliness, and relevance so that it is difficult to address such questions as the effects of the Great Recession on household finances or of the Covid-19 pandemic and the ensuing relief efforts on household income and consumption. The presence of multiple, sometimes conflicting statistics at best muddies the waters of policy debates and, at worst, enable advocates with different policy perspectives to cherry-pick their preferred set of estimates. Achieving an integrated system of relevant, high-quality, and transparent household ICW data and statistics should go far to reduce disagreement about who has how much, and from what sources. Further, such data are essential to advance research on economic wellbeing and to ensure that policies are well targeted to achieve societal goals. Creating an Integrated System of Data and Statistics on Household Income, Consumption, and Wealth reviews the major household ICW statistics currently produced by U.S. statistical agencies and provides guidance for modernizing the information to better inform policy and research, such as understanding trends in inequality and mobility. This report provides recommendations for developing an improved 21st century data system for measuring the extent to which economic prosperity is shared by households throughout the population and for understanding how the distribution of resources is affected by government policy and economic events.

The Survey of Income and Program Participation (SIPP) is one of the U.S. Census Bureau's major surveys with features making it a uniquely valuable resource for researchers and policy analysts. However, the Census Bureau faces the challenge of protecting the confidentiality of survey respondents which has become increasingly difficult because numerous databases exist with personal identifying information that collectively contain data on household finances, home values, purchasing behavior, and other SIPP-relevant characteristics. A Roadmap for Disclosure Avoidance in the Survey of Income and Program Participation addresses these issues and how to make data from SIPP available to researchers and policymakers while protecting the confidentiality of survey respondents. The report considers factors such as evolving privacy risks, development of new methods for protecting privacy, the nature of the data collected through SIPP, the practice of linking SIPP data with administrative data, the types of data products produced, and the desire to provide timely access to SIPP data. The report seeks to balance minimizing the risk of disclosure against allowing researchers and policymakers to have timely access to data that support valid inferences.

The decennial census is foundational to the functioning of American democracy, and maintaining the public's trust in the census and its resulting data is a correspondingly high-stakes affair. The 2020 Census was implemented in light of severe and unprecedented operational challenges, adapting to the COVID-19 pandemic, natural disasters, and other disruptions. This interim report from a panel of the Committee on National Statistics discusses concepts of error and quality in the decennial census as prelude to the panel's forthcoming fuller assessment of 2020 Census data, process measures, and quality metrics. The panel will release a final report that will include conclusions about the quality of the 2020 Census and make recommendations for further research by the U.S. Census Bureau to plan the 2030 Census.

From April 25-26, 2023 the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a workshop to identify challenges in and opportunities for measuring suicide in the law enforcement occupation. Experts in the field met to identify ways to improve the measurement of suicide by current and former police and corrections officers, dispatchers, and other sworn and civilian personnel, in public and private organizations. This proceedings provides a synthesis of key themes identified during the workshop.

This proceedings summarizes the presentations and discussions at the Workshop on the 2020 Census Demographic and Housing Characteristics File, held June 21-22, 2022. The workshop was convened by the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine to assist the U.S. Census Bureau with its new disclosure avoidance system for 2020 Census data products, which implements algorithms providing differential privacy. The workshop focused specifically on the Demographic and Housing Characteristics File, a major source of data for local governments, particularly those with small populations, and many other data users in the federal, state, academic, and business sectors. The intent was to garner feedback from users on the usability of the privacy-protected data by evaluating DHC demonstration files produced with the proposed TopDown Algorithm on 2010 Census data.

Extreme weather and wildfires, intensified by climate change, are damaging the native plant communities of landscapes across the United States. Native plant communities are foundational to thriving ecosystems, delivering goods and services that regulate the environment and support life, provide food and shelter for a wide range of native animals, and embody a wealth of genetic information with many beneficial applications. Restoring impaired ecosystems requires a supply of diverse native plant seeds that are well suited to the climates, soils, and other living species of the system. This report examines the needs for native plant restoration and other activities, provides recommendations for improving the reliability, predictability, and performance of the native seed supply, and presents an ambitious agenda for action. An Assessment of Native Seed Needs and the Capacity for Their Supply considers the various challenges facing our natural landscapes and calls for a coordinated public-private effort to scale-up and secure a cost-effective national native seed supply.

An accurate measure of poverty is necessary to fully understand how the economy is performing across all segments of the population and to assess the effects of government policies on communities and families. In addition, poverty statistics are essential in determining the size and composition of the population whose basic needs are going unmet and to help society target resources to address those needs. An Updated Measure of Poverty: (Re)Drawing the Line recommends updating the methodology used by the Census Bureau to calculate the Supplemental Poverty Measure (SPM) to reflect household basic needs. This report recommends that the more comprehensive SPM replace the current Official Poverty Measure as the primary statistical measure of poverty the Census Bureau uses. The report assesses the strengths and weaknesses of the SPM and provides recommendations for updating its methodology and expanding its use in recognition of the needs of most American families such as medical care, childcare, and housing costs.

The Consumer Price Index (CPI), produced by the Bureau of Labor Statistics (BLS), is the most widely used measure of inflation in the U.S. It is used to determine cost-of-living allowances and, among many other important private- and public-sector applications, influences monetary policy. The CPI has traditionally relied on field-generated data, such as prices observed in person at grocery stores or retailers. However, as these data have become more challenging and expensive to collect in a way that reflects an increasingly dynamic marketplace, statistical agencies and researchers have begun turning to opportunities created by the vast digital sources of consumer price data that have emerged. The enormous economic disruption of the COVID-19 pandemic, including major shifts in consumers'shopping patterns, presents a perfect case study for the need to rapidly employ new data sources for the CPI. Modernizing the Consumer Price Index presents guidance to BLS as the agency embarks on a strategy of accelerating and enhancing the use of scanner, web-scraped, and digital data directly from retailers in compiling the CPI. The report also recommends strategies for BLS to more accurately estimate the composition of households'expenditures - or market basket shares - by updating this information more frequently and using innovative survey techniques and alternative data sources where possible. The report provides targeted guidance for integrating new data sources to improve the CPI's estimation of changes in the prices of housing and medical care, two consumer expenditure categories that are traditionally difficult to measure. Because of the urgency of issues related to income and wealth inequality, the report also recommends that BLS identify data sources that would allow it to estimate price indexes defined by income quintile or decile.

Much of the statistical information currently produced by federal statistical agencies - information about economic, social, and physical well-being that is essential for the functioning of modern society - comes from sample surveys. In recent years, there has been a proliferation of data from other sources, including data collected by government agencies while administering programs, satellite and sensor data, private-sector data such as electronic health records and credit card transaction data, and massive amounts of data available on the internet. How can these data sources be used to enhance the information currently collected on surveys, and to provide new frontiers for producing information and statistics to benefit American society? Toward a 21st Century National Data Infrastructure: Enhancing Survey Programs by Using Multiple Data Sources, the second report in a series funded by the National Science Foundation, discusses how use of multiple data sources can improve the quality of national and subnational statistics while promoting data equity. This report explores implications of combining survey data with other data sources through examples relating to the areas of income, health, crime, and agriculture.

The U.S. Equal Employment Opportunity Commission (EEOC) expanded EEO-1 data collection for reporting years 2017 to 2018 in an effort to improve its ability to investigate and address pay disparities between women and men and between different racial and ethnic groups. These pay disparities are well documented in national statistics. For example, the U.S. Census Bureau (2021) found that Black and Hispanic women earned only 63 percent and 55 percent as much, respectively, of what non-Hispanic White men earned. Evaluation of Compensation Data Collected Through the EEO-1 Form examines the quality of pay data collected using the EEO-1 form and provides recommendations for future data collection efforts. The report finds that there is value in the expanded EEO-1 data, which are unique among federal surveys by providing employee pay, occupation, and demographic data at the employer level. Nonetheless, both short-term and longer-term improvements are recommended to address significant concerns in employer coverage, conceptual definitions, data measurement, and collection protocols. If implemented, these recommendations could improve the breadth and strength of EEOC data for addressing pay equity, potentially reduce employer burden, and better support employer self-assessment.

Population surveys collect information from participants by asking questions. Today, many surveys also collect biologic specimens that can be used to analyze a respondents DNA and other biomarkers. The National Health and Nutrition Examination Survey (NHANES) is a population survey that also administers a physical examination, collects biospecimens, and reports some test results (e.g., cholesterol levels) to the participant. While visiting communities large and small throughout the country, NHANES collects health and nutrition data from a representative sample of individuals through in-person interviews and health examinations that take place at special mobile examination centers. The examination component consists of medical, dental, and physiological examinations, as well as laboratory tests. On December 2, 7, and 8, 2022, a workshop was convened to focus on anticipated future collections of genomic data by NHANES. The 2022 workshop explored ethical considerations and current practices for returning genomic information from active research and population surveys. This Proceedings of a Workshop summarizes the presentations and discussions at the workshop.

Historically, the U.S. national data infrastructure has relied on the operations of the federal statistical system and the data assets that it holds. Throughout the 20th century, federal statistical agencies aggregated survey responses of households and businesses to produce information about the nation and diverse subpopulations. The statistics created from such surveys provide most of what people know about the well-being of society, including health, education, employment, safety, housing, and food security. The surveys also contribute to an infrastructure for empirical social- and economic-sciences research. Research using survey-response data, with strict privacy protections, led to important discoveries about the causes and consequences of important societal challenges and also informed policymakers. Like other infrastructure, people can easily take these essential statistics for granted. Only when they are threatened do people recognize the need to protect them. Toward a 21st Century National Data Infrastructure: Mobilizing Information for the Common Good develops a vision for a new data infrastructure for national statistics and social and economic research in the 21st century. This report describes how the country can improve the statistical information so critical to shaping the nation's future, by mobilizing data assets and blending them with existing survey data.

Since around 1980, fewer Americans than before are doing better than their parents had – that is, more are experiencing downward social and economic mobility in terms of occupational status and income. This trend in downward mobility is occurring amidst high and rising levels of inequality in income, wealth, health, and life expectancy. To better understand the factors that influence social and economic mobility, the Committee on Population and the Committee on National Statistics hosted a workshop on February 14-15, 2022. The proceedings from this workshop identify key priorities for future research and data collection to improve social and economic mobility.

The Office of the Assistant Secretary for Planning and Evaluation (ASPE), in partnership with other agencies and divisions of the United States Department of Health and Human Services, coordinates a portfolio of projects that build data capacity for conducting patient-centered outcomes research (PCOR). PCOR focuses on producing scientific evidence on the effectiveness of prevention and treatment options to inform the health care decisions of patients, families, and health care providers, taking into consideration the preferences, values, and questions patients face when making health care choices. ASPE asked the National Academies to appoint a consensus study committee to identify issues critical to the continued development of the data infrastructure for PCOR. The committee's work will contribute to ASPE's development of a strategic plan that will guide their work related to PCOR data capacity over the next decade. As part of its information gathering activities, the committee organized three workshops to collect input from stakeholders on the PCOR data infrastructure. This report, the third in a series of three interim reports, summarizes the discussion and committee conclusions from the third workshop, which focused on ways of enhancing collaborations, data linkages, and the interoperability of electronic databases to make the PCOR data infrastructure more useful in the years ahead. Participants in the workshop included researchers and policy experts working in these areas.

This Proceedings of a Workshop summarizes the presentations and discussions at the Workshop on Improving Consent and Response in Longitudinal Studies of Aging, which was held virtually and live-streamed on September 27-28, 2021. The workshop was convened by the Committee on National Statistics of the National Academies of Science, Engineering, and Medicine to assist the National Institute on Aging (NIA) with its methodological research agenda and inform the different longitudinal survey programs sponsored by NIA about practices and research to improve response and consent in other survey programs. The workshop was structured to bring together scientists and researchers from multiple disciplines and countries to share their research and insights on how to improve response and consent in large, representative longitudinal studies on aging.

Widely available, trustworthy government statistics are essential for policy makers and program administrators at all levels of government, for private sector decision makers, for researchers, and for the media and the public. In the United States, principal statistical agencies as well as units and programs in many other agencies produce various key statistics in areas ranging from the science and engineering enterprise to education and economic welfare. Official statistics are often the result of complex data collection, processing, and estimation methods. These methods can be challenging for agencies to document and for users to understand. At the request of the National Center for Science and Engineering Statistics (NCSES), this report studies issues of documentation and archiving of NCSES statistical data products in order to enable NCSES to enhance the transparency and reproducibility of the agency's statistics and facilitate improvement of the statistical program workflow processes of the agency and its contractors. Transparency in Statistical Information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies also explores how NCSES could work with other federal statistical agencies to facilitate the adoption of currently available documentation and archiving standards and tools.

Sex, gender identity, and sexual orientation are key indicators of the demographic diversity in the United States. Sex and gender are often conflated under the assumptions that they are mutually determined and do not differ from each other; however, the growing visibility of transgender and intersex populations, as well as efforts to improve the measurement of sex and gender across many scientific fields, has demonstrated the need to reconsider how sex, gender, and the relationship between them are conceptualized. This is turn affects sexual orientation, because it is defined on the basis of the relationship between a person's own sex or gender and that of their actual or preferred partners. Sex, gender, and sexual orientation are core aspects of identity that shape opportunities, experiences with discrimination, and outcomes through the life course; therefore, it is crucial that measures of these concepts accurately capture their complexity. Recognition of the diversity within the lesbian, gay, bisexual, transgender, queer, intersex, and other sexual and gender minorities - the LGBTQI+ population - has also led to a reexamination of how the concepts of sex, gender identity, and sexual orientation are measured. Better measurement will improve the ability to identify sexual and gender minority populations and understand the challenges they face. LGBTQI+ people continue to experience disparate and inequitable treatment, including harassment, discrimination, and violence, which in turn affects outcomes in many areas of everyday life, including health and access to health care services, economic and educational attainment, and family and social support. Though knowledge of these disparities has increased significantly over the past decade, glaring gaps remain, often driven by a lack of reliable data. Measuring Sex, Gender Identity, and Sexual Orientation recommends that the National Institutes of Health (NIH) adopt new practices for collecting data on sex, gender, and sexual orientation - including collecting gender data by default, and not conflating gender with sex as a biological variable. The report recommends standardized language to be used in survey questions that ask about a respondent's sex, gender identity, and sexual orientation. Better measurements will improve data quality, as well as the NIH's ability to identify LGBTQI+ populations and understand the challenges they face.

The National Assessment of Educational Progress (NAEP) - often called'The Nation's Report Card'- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable information on U.S. students for more than 50 years. Unique in the information it provides, NAEP is the nation's only mechanism for tracking student achievement over time and comparing trends across states and districts for all students and important student groups (e.g., by race, sex, English learner status, disability status, family poverty status). While the program helps educators, policymakers, and the public understand these educational outcomes, the program has incurred substantially increased costs in recent years and now costs about $175.2 million per year. A Pragmatic Future for NAEP: Containing Costs and Updating Technologies recommends changes to bolster the future success of the program by identifying areas where federal administrators could take advantage of savings, such as new technological tools and platforms as well as efforts to use local administration and deployment for the tests. Additionally, the report recommends areas where the program should clearly communicate about spending and undertake efforts to streamline management. The report also provides recommendations to increase the visibility and coherence of NAEP's research activities.

The education landscape in the United States has been changing rapidly in recent decades: student populations have become more diverse; there has been an explosion of data sources; there is an intensified focus on diversity, equity, inclusion, and accessibility; educators and policy makers at all levels want more and better data for evidence-based decision making; and the role of technology in education has increased dramatically. With awareness of this changed landscape the Institute of Education Sciences at the U.S. Department of Education asked the National Academies of Sciences, Engineering, and Medicine to provide a vision for the National Center for Education Statistics (NCES)—the nation's premier statistical agency for collecting, analyzing, and disseminating statistics at all levels of education. A Vision and Roadmap for Education Statistics (2022) reviews developments in using alternative data sources, considers recent trends and future priorities, and suggests changes to NCES's programs and operations, with a focus on NCES's statistical programs. The report reimagines NCES as a leader in the 21st century education data ecosystem, where it can meet the growing demands for policy-relevant statistical analyses and data to more effectively and efficiently achieve its mission, especially in light of the Foundations for Evidence-Based Policymaking Act of 2018 and the 2021 Presidential Executive Order on advancing racial equity. The report provides strategic advice for NCES in all aspects of the agency's work including modernization, stakeholder engagement, and the resources necessary to complete its mission and meet the current and future challenges in education.

In recent decades, production processes of intermediate and final products have been increasingly fragmented across countries in what are called global value chains (GVCs). GVCs may involve companies in one country outsourcing stages of production to unrelated entities in other countries, multinational enterprises (MNEs) offshoring stages of production to units of the MNE overseas, or both. GVCs can also involve completely independent companies merely sourcing their parts from whichever upstream company may be the most competitive, with no control arrangement necessarily involved. The changing global trade environment and the changes in firms'behavior have raised new and more complicated issues for policy makers and have made it difficult for them to understand the extent and operations of GVCs and their spillover effects on national and local economies. To improve the understanding, measurement, and valuation of GVCs, the Innovation Policy Forum at the National Academies of Sciences, Engineering, and Medicine convened a workshop,'Innovation, Global Value Chains, and Globalization Measurement'May 5-7, 2021. This proceedings has been prepared by the workshop rapporteurs as a factual summary of what occurred at the workshop.

The Office of the Assistant Secretary for Planning and Evaluation (ASPE), in partnership with other agencies and divisions of the United States Department of Health and Human Services, coordinates a portfolio of projects that build data capacity for conducting patient-centered outcomes research (PCOR). PCOR focuses on producing scientific evidence on the effectiveness of prevention and treatment options to inform the health care decisions of patients, families, and health care providers, taking into consideration the preferences, values, and questions patients face when making health care choices. ASPE asked the National Academies to appoint a consensus study committee to identify issues critical to the continued development of the data infrastructure for PCOR. The committee's work will contribute to ASPE's development of a strategic plan that will guide their work related to PCOR data capacity over the next decade. As part of its information gathering activities, the committee organized three workshops to collect input from stakeholders on the PCOR data infrastructure. This report, the second in a series of three interim reports, summarizes the discussion and committee conclusions from the second workshop, focused on data standards, methods, and policies that could make the PCOR data infrastructure more useful in the years ahead. Participants in the workshop included researchers and policy experts working in these areas.

The Office of the Assistant Secretary for Planning and Evaluation (ASPE), in partnership with other agencies and divisions of the United States Department of Health and Human Services, coordinates a portfolio of projects that build data capacity for conducting patient-centered outcomes research (PCOR). PCOR focuses on producing scientific evidence on the effectiveness of prevention and treatment options to inform the health care decisions of patients, families, and health care providers, taking into consideration the preferences, values, and questions patients face when making health care choices. ASPE asked the National Academies to appoint a consensus study committee to identify issues critical to the continued development of the data infrastructure for PCOR. Building Data Capacity for Patient-Centered Outcomes Research contains findings and conclusions in the areas that could benefit from being prioritized as part of ASPE's work, and offers input on strengthening the overall framework for building the data infrastructure over the coming years. The committee authoring this report also issued three interim reports, which summarized discussions from three workshops, and are included as appendices in the final report.

The aging population of the United States has significant implications for the workforce - challenging what it means to work and to retire in the U.S. In fact, by 2030, one-fifth of the population will be over age 65. This shift has significant repercussions for the economy and key social programs. Due to medical advancements and public health improvements, recent cohorts of older adults have experienced better health and increasing longevity compared to earlier cohorts. These improvements in health enable many older adults to extend their working lives. While higher labor market participation from this older workforce could soften the potential negative impacts of the aging population over the long term on economic growth and the funding of Social Security and other social programs, these trends have also occurred amidst a complicating backdrop of widening economic and social inequality that has meant that the gains in health, improvements in mortality, and access to later-life employment have been distributed unequally. Understanding the Aging Workforce: Defining a Research Agenda offers a multidisciplinary framework for conceptualizing pathways between work and nonwork at older ages. This report outlines a research agenda that highlights the need for a better understanding of the relationship between employers and older employees; how work and resource inequalities in later adulthood shape opportunities in later life; and the interface between work, health, and caregiving. The research agenda also identifies the need for research that addresses the role of workplaces in shaping work at older ages, including the role of workplace policies and practices and age discrimination in enabling or discouraging older workers to continue working or retire.

The Office of the Assistant Secretary for Planning and Evaluation (ASPE), in partnership with other agencies and divisions of the United States Department of Health and Human Services, coordinates a portfolio of projects that build data capacity for conducting patient-centered outcomes research (PCOR). PCOR focuses on producing scientific evidence on the effectiveness of prevention and treatment options to inform the health care decisions of patients, families, and health care providers, taking into consideration the preferences, values, and questions patients face when making health care choices. ASPE asked the National Academies to appoint a consensus study committee to identify issues critical to the continued development of the data infrastructure for PCOR. The committee's work will contribute to ASPE's development of a strategic plan that will guide their work related to PCOR data capacity over the next decade. As part of its information gathering activities, the committee organized three workshops to collect input from stakeholders on the PCOR data infrastructure. This report, the first in a series of three interim reports, summarizes the discussion and committee conclusions from the first workshop, focused on looking ahead at data user needs over the next decade. The workshop included representatives of patient groups with a wide reach and researchers with broad research interests as well as an understanding of the PCOR infrastructure.

Retail trade has experienced dramatic changes over the past several decades in the United States, with changes in the types of outlets where goods are sold, the nature of the transactions that provide goods to consumers, and the structure of retail operations behind the scenes. The recent changes include the rise of warehouse stores and e-commerce and the further growth of imports and large retail chains. These changes highlight and typify many aspects of the broader evolution of the economy as a whole in recent years - with the growing role of large firms and information technology - while taking place in a sector that directly serves the vast majority of the American population and provides substantial employment. Despite the everyday experience of these dramatic changes in retail, there is concern that the most transformational aspects of those changes may not be captured well by the economic indicators about the sector. In order to develop appropriate economic policies, we need to be able to capture more detailed data, including data about changes to productivity. At the request of the U.S. Bureau of Labor Statistics, this report evaluates changes in the retail trade sector, assesses measures of employment and labor productivity for the sector, and recommends a new satellite account that could measure retail-related employment and labor productivity in ways that would better capture the transformation.

Government statistics are widely used to inform decisions by policymakers, program administrators, businesses and other organizations as well as households and the general public. Principles and Practices for a Federal Statistical Agency, Seventh Edition will assist statistical agencies and units, as well as other agencies engaged in statistical activities, to carry out their responsibilities to provide accurate, timely, relevant, and objective information for public and policy use. This report will also inform legislative and executive branch decision makers, data users, and others about the characteristics of statistical agencies that enable them to serve the public good.

The past century has witnessed remarkable advances in life expectancy in the United States and throughout the world. In 2010, however, progress in life expectancy in the United States began to stall, despite continuing to increase in other high-income countries. Alarmingly, U.S. life expectancy fell between 2014 and 2015 and continued to decline through 2017, the longest sustained decline in life expectancy in a century (since the influenza pandemic of 1918-1919). The recent decline in U.S. life expectancy appears to have been the product of two trends: (1) an increase in mortality among middle-aged and younger adults, defined as those aged 25-64 years (i.e.,'working age'), which began in the 1990s for several specific causes of death (e.g., drug- and alcohol-related causes and suicide); and (2) a slowing of declines in working-age mortality due to other causes of death (mainly cardiovascular diseases) after 2010. High and Rising Mortality Rates among Working Age Adults highlights the crisis of rising premature mortality that threatens the future of the nation's families, communities, and national wellbeing. This report identifies the key drivers of increasing death rates and disparities in working-age mortality over the period 1990 to 2017; elucidates modifiable risk factors that could alleviate poor health in the working-age population, as well as widening health inequalities; identifies key knowledge gaps and make recommendations for future research and data collection to fill those gaps; and explores potential policy implications. After a comprehensive analysis of the trends in working-age mortality by age, sex, race/ethnicity, and geography using the most up-to-date data, this report then looks upstream to the macrostructural factors (e.g., public policies, macroeconomic trends, social and economic inequality, technology) and social determinants (e.g., socioeconomic status, environment, social networks) that may affect the health of working-age Americans in multiple ways and through multiple pathways.

This Proceedings of a Workshop summarizes the presentations and discussions at the Workshop on the Implications of Convergence for How the National Center for Science and Engineering Statistics (NCSES) Measures the Science and Engineering Workforce, which was held virtually and livestreamed on October 22-23, 2020. The workshop was convened by the Committee on National Statistics to help NCSES, a division of the National Science Foundation, set an agenda to inform its methodological research and better measure and assess the implications of convergence for the science and engineering workforce and enterprise. The workshop brought together scientists and researchers from multiple disciplines, along with experts in science policy, university administration, and other stakeholders to review and provide input on defining and measuring convergence and its impact on science and scientists.

The effective use of data science - the science and technology of extracting value from data - improves, enhances, and strengthens acquisition decision-making and outcomes. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workforce has enabled acquisition and thus defense successes for decades. Still, more consistent and expanded application of data science will continue improving acquisition outcomes, and doing so requires coordinated efforts across the defense acquisition system and its related communities and stakeholders. Central to that effort is the development, growth, and sustainment of data science capabilities across the acquisition workforce. At the request of the Under Secretary of Defense for Acquisition and Sustainment, Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science assesses how data science can improve acquisition processes and develops a framework for training and educating the defense acquisition workforce to better exploit the application of data science. This report identifies opportunities where data science can improve acquisition processes, the relevant data science skills and capabilities necessary for the acquisition workforce, and relevant models of data science training and education.

How can states and schools use data to support their efforts to improve educational equity? Building Educational Equity Indicator Systems: A Guidebook for States and School Districts, provides information to help state and school district leaders develop ways of tracking educational equity within their preK – 12 systems. The guidebook expands on the indicators of educational equity identified in the 2019 National Academies report, Monitoring Educational Equity, showing education leaders how they can measure educational equity within their states and school districts. Some of the indicators focus on student outcomes, such as kindergarten readiness or educational attainment, while others focus on student access to opportunities and resources, such as effective instruction and rigorous curriculum. Together, the indicators provide a robust picture of the outcomes and opportunities that are central to educational equity from preK through grade 12. For each indicator of educational equity identified in the report, the guidebook describes what leaders should measure and what data to use, provides examples of data collection instruments, and offers considerations and challenges to keep in mind. The guidebook is meant to help education leaders catalogue data they already collect and identify new data sources to help them fill gaps.

Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.

The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.

Across the United States, millions of acres of land have been so disturbed by human activities or severe climate events that significant portions of their native plant communities have been lost and their ecosystems have been seriously compromised. Restoring impaired ecosystems requires a supply of diverse native plant seeds that are well suited to the climates, soils, and other living species of the system. Native seeds are also in demand for applications in urban land management, roadside maintenance, conservation agriculture, and other restorative activities that take into account the connection between native plant communities and the increasingly urgent need for resilient landscapes. Given the varied climatic and environmental niches of the more than 17,000 native plant species of the United States, supplying the desired seed types and species mixes for this wide range of activities is a challenge. As the first phase of a nationwide analysis of the full scope of needs for native plant seeds, this interim report describes the participants in the native plant seed supply chain, makes preliminary observations, and proposes an information-gathering plan for the second phase of the assessment.

Human trafficking has many names and can take many forms - pimp control, commercial sex, exploitation, forced labor, modern slavery, child labor, and several others - and the definitions vary greatly across countries and cultures, as well as among researchers. In the United States, the Trafficking Victims Protection Act (TVPA) is the cornerstone of counter-trafficking efforts. It provides guidance for identifying and defining human trafficking, and it authorizes legislation and appropriations for subsequent counter-trafficking measures both within and outside of the federal government. First enacted in 2000, the TVPA has since been reauthorized by three administrations, and it includes a directive for the President to establish an Interagency Task Force to Monitor and Combat Trafficking. The subsequent Frederick Douglass Trafficking Victims Prevention and Protection Reauthorization Act of 2018 also includes provisions for victim services and plans to enhance collaboration efforts to fight trafficking abroad. To explore current and innovative sampling methods, technological approaches, and analytical strategies for estimating the prevalence of sex and labor trafficking in vulnerable populations, a 2-day public workshop, Approaches to Estimating the Prevalence of Human Trafficking in the United States, was held in Washington, D.C. in April 2019. The workshop brought together statisticians, survey methodologists, researchers, public health practitioners, and other experts who work closely with human trafficking data or with the survivors of trafficking. Participants addressed the current state of research on human trafficking, advancements in data collection, and gaps in the data. They discussed international practices and global trends in human trafficking prevalence estimation and considered ways in which collaborations across agencies and among the U.S. government and private-sector organizations have advanced counter-trafficking efforts. This proceedings summarizes the presentations and discussions of the workshop.

Since its origin 23 years ago as a pilot test conducted in four U.S. counties, the U.S. Census Bureau's American Community Survey (ACS) has been the focus of continuous research, development, and refinement. The survey cleared critical milestones 14 years ago when it began full-scale operations, including comprehensive nationwide coverage, and 5 years later when the ACS replaced a long-form sample questionnaire in the 2010 census as a source of detailed demographic and socioeconomic information. Throughout that existence and continuing today, ACS research and testing has worked to improve the survey's conduct in the face of challenges ranging from detailed and procedural to the broad and existential. This publication summarizes the presentations and discussion at the September 26-27, 2018, Workshop on Improving the American Community Survey (ACS), sponsored by the U.S. Census Bureau. Workshop participants explored uses of administrative records and third-party data to improve ACS operations and potential for boosting respondent participation through improved communication.

In 2014 the National Science Foundation (NSF) provided support to the National Academies of Sciences, Engineering, and Medicine for a series of Forums on Open Science in response to a government-wide directive to support increased public access to the results of research funded by the federal government. However, the breadth of the work resulting from the series precluded a focus on any specific topic or discussion about how to improve public access. Thus, the main goal of the Workshop on Transparency and Reproducibility in Federal Statistics was to develop some understanding of what principles and practices are, or would be, supportive of making federal statistics more understandable and reviewable, both by agency staff and the public. This publication summarizes the presentations and discussions from the workshop.

America's farms and farmers are integral to the U.S. economy and, more broadly, to the nation's social and cultural fabric. A healthy agricultural sector helps ensure a safe and reliable food supply, improves energy security, and contributes to employment and economic development, traditionally in small towns and rural areas where farming serves as a nexus for related sectors from farm machinery manufacturing to food processing. The agricultural sector also plays a role in the nation's overall economic growth by providing crucial raw inputs for the production of a wide range of goods and services, including many that generate substantial export value. If the agricultural sector is to be accurately understood and the policies that affect its functioning are to remain well informed, the statistical system's data collection programs must be periodically revisited to ensure they are keeping up with current realities. This report reviews current information and makes recommendations to the U.S. Department of Agriculture's (USDA's) National Agricultural Statistics Service (NASS) and Economic Research Service (ERS) to help identify effective methods for collecting data and reporting information about American agriculture, given increased complexity and other changes in farm business structure in recent decades.

In 2014, the National Agricultural Statistics Service (NASS) engaged the National Academies of Sciences, Engineering, and Medicine to convene a planning committee to organize a public workshop for an expert open discussion of their then-current livestock models. The models had worked well for some time. Unfortunately beginning in 2013, an epidemic that killed baby pigs broke out in the United States. The epidemic was not fully realized until 2014 and spread to many states. The result was a decline in hog inventories and pork production that was not predicted by the models. NASS delayed the workshop until 2019 while it worked to develop models that could help in times both of equilibrium and shock (disease or disaster), as well as alternative approaches to help detect the onset of a shock. The May 15, 2019, workshop was consistent with NASS's 2014 intention, but with a focus on a model that can help predict hog inventories over time, including during times of shock. This publication summarizes the presentations and discussions from the workshop.

Disparities in educational attainment among population groups have characterized the United States throughout its history. Education is sometimes characterized as the'great equalizer,'but to date, the country has not found ways to successfully address the adverse effects of socioeconomic circumstances, prejudice, and discrimination that suppress performance for some groups. To ensure that the pursuit of equity encompasses both the goals to which the nation aspires for its children and the mechanisms to attain those goals, a revised set of equity indicators is needed. Measures of educational equity often fail to account for the impact of the circumstances in which students live on their academic engagement, academic progress, and educational attainment. Some of the contextual factors that bear on learning include food and housing insecurity, exposure to violence, unsafe neighborhoods, adverse childhood experiences, and exposure to environmental toxins. Consequently, it is difficult to identify when intervention is necessary and how it should function. A revised set of equity indicators should highlight disparities, provide a way to explore potential causes, and point toward possible improvements. Monitoring Educational Equity proposes a system of indicators of educational equity and presents recommendations for implementation. This report also serves as a framework to help policy makers better understand and combat inequity in the United States'education system. Disparities in educational opportunities reinforce, and often amplify, disparities in outcomes throughout people's lives. Thus, it is critical to ensure that all students receive comprehensive supports that level the playing field in order to improve the well-being of underrepresented individuals and the nation.

The strengths and abilities children develop from infancy through adolescence are crucial for their physical, emotional, and cognitive growth, which in turn help them to achieve success in school and to become responsible, economically self-sufficient, and healthy adults. Capable, responsible, and healthy adults are clearly the foundation of a well-functioning and prosperous society, yet America's future is not as secure as it could be because millions of American children live in families with incomes below the poverty line. A wealth of evidence suggests that a lack of adequate economic resources for families with children compromises these children's ability to grow and achieve adult success, hurting them and the broader society. A Roadmap to Reducing Child Poverty reviews the research on linkages between child poverty and child well-being, and analyzes the poverty-reducing effects of major assistance programs directed at children and families. This report also provides policy and program recommendations for reducing the number of children living in poverty in the United States by half within 10 years.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

The Survey of Income and Program Participation (SIPP) is a national, longitudinal household survey conducted by the Census Bureau. SIPP serves as a tool to evaluate the effectiveness of government-sponsored social programs and to analyze the impacts of actual or proposed modifications to those programs. SIPP was designed to fill a need for data that would give policy makers and researchers a much better grasp of how effectively government programs were reaching their target populations, how participation in different programs overlapped, and to what extent and under what circumstances people transitioned into and out of these programs. SIPP was also designed to answer questions about the short-term dynamics of employment, living arrangements, and economic well-being. The Census Bureau has reengineered SIPP—fielding the initial redesigned survey in 2014. This report evaluates the new design compared with the old design. It compares key estimates across the two designs, evaluates the content of the redesigned SIPP and the impact of the new design on respondent burden, and considers content changes for future improvement of SIPP.

The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with improving health research of small populations, the National Academies of Sciences, Engineering, and Medicine convened a workshop in January 2018. Participants considered ways of addressing the challenges of conducting epidemiological studies or intervention research with small population groups, including alternative study designs, innovative methodologies for data collection, and innovative statistical techniques for analysis.

To derive statistics about crime – to estimate its levels and trends, assess its costs to and impacts on society, and inform law enforcement approaches to prevent it – a conceptual framework for defining and thinking about crime is virtually a prerequisite. Developing and maintaining such a framework is no easy task, because the mechanics of crime are ever evolving and shifting: tied to shifts and development in technology, society, and legislation. Interest in understanding crime surged in the 1920s, which proved to be a pivotal decade for the collection of nationwide crime statistics. Now established as a permanent agency, the Census Bureau commissioned the drafting of a manual for preparing crime statistics—intended for use by the police, corrections departments, and courts alike. The new manual sought to solve a perennial problem by suggesting a standard taxonomy of crime. Shortly after the Census Bureau issued its manual, the International Association of Chiefs of Police in convention adopted a resolution to create a Committee on Uniform Crime Records —to begin the process of describing what a national system of data on crimes known to the police might look like. Report 1 performed a comprehensive reassessment of what is meant by crime in U.S. crime statistics and recommends a new classification of crime to organize measurement efforts. This second report examines methodological and implementation issues and presents a conceptual blueprint for modernizing crime statistics.

The National Science Foundation's National Center for Science and Engineering Statistics (NCSES), one of the nation's principal statistical agencies, is charged to collect, acquire, analyze, report, and disseminate statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers, and to the public. NCSES data, based primarily on several flagship surveys, have become the major evidence base for American science and technology policy, and the agency is well respected globally for these data. This report assesses and provides guidance on NCSES's approach to measuring the science and engineering workforce population in the United States. It also proposes a framework for measuring the science and engineering workforce in the next decade and beyond, with flexibility to examine emerging issues related to this unique population while at the same time allowing for stability in the estimation of key trends