The U.S. Department of Agriculture Economic Research Service (USDA/ERS) maintains four highly related but distinct geographic classification systems to designate areas by the degree to which they are rural. The original urban-rural code scheme was developed by the ERS in the 1970s. Rural America today is very different from the rural America of 1970 described in the first rural classification report. At that time migration to cities and poverty among the people left behind was a central concern. The more rural a residence, the more likely a person was to live in poverty, and this relationship held true regardless of age or race. Since the 1970s the interstate highway system was completed and broadband was developed. Services have become more consolidated into larger centers. Some of the traditional rural industries, farming and mining, have prospered, and there has been rural amenity-based in-migration. Many major structural and economic changes have occurred during this period. These factors have resulted in a quite different rural economy and society since 1970. In April 2015, the Committee on National Statistics convened a workshop to explore the data, estimation, and policy issues for rationalizing the multiple classifications of rural areas currently in use by the Economic Research Service (ERS). Participants aimed to help ERS make decisions regarding the generation of a county rural-urban scale for public use, taking into consideration the changed social and economic environment. This report summarizes the presentations and discussions from the workshop.

The U.S. Department of Agriculture Economic Research Service (USDA/ERS) maintains four highly related but distinct geographic classification systems to designate areas by the degree to which they are rural. The original urban-rural code scheme was developed by the ERS in the 1970s. Rural America today is very different from the rural America of 1970 described in the first rural classification report. At that time migration to cities and poverty among the people left behind was a central concern. The more rural a residence, the more likely a person was to live in poverty, and this relationship held true regardless of age or race. Since the 1970s the interstate highway system was completed and broadband was developed. Services have become more consolidated into larger centers. Some of the traditional rural industries, farming and mining, have prospered, and there has been rural amenity-based in-migration. Many major structural and economic changes have occurred during this period. These factors have resulted in a quite different rural economy and society since 1970. In April 2015, the Committee on National Statistics convened a workshop to explore the data, estimation, and policy issues for rationalizing the multiple classifications of rural areas currently in use by the Economic Research Service (ERS). Participants aimed to help ERS make decisions regarding the generation of a county rural-urban scale for public use, taking into consideration the changed social and economic environment. This report summarizes the presentations and discussions from the workshop.

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Sixth Edition presents and comments on these principles as they've been impacted by changes in laws, regulations, and other aspects of the environment of federal statistical agencies over the past 4 years.

This timely Research Handbook offers new ways in which to navigate the diverse terrain of community development research. Chapters unpack the foundations and history of community development research and also look to its future, exploring innovative frameworks for conceptualizing community development. Comprehensive and unequivocally progressive, this is key reading for social and public policy researchers in need of an understanding of the current trends in community development research, as well as practitioners and policymakers working on urban, rural and regional development.

The papers presented at the symposium were arranged in 6 major sessions and 4 keynote address sessions. The session on transportation of agricultural commodities for international trade found that published research in this area was limited and largely theoretical in nature. Papers in the session on the impacts of transportation regulation on agriculture dealt mostly with trucking. It was found that good trucking performance has resulted from the hauling of agricultural commodities which are exempt. The impacts of transportation regulation on agriculture was covered and it was suggested that the economies of size in trucking and quality and cost of trucking services provided by both exempt and regulated truckers, need to be researched. Extensive research on the relationships among people, commodity and service transport systems and the potential for rural development were lacking. Research papers in the session on the economies of freight transportation in low density rural areas, provided a full coverage of this area, from the measurement of the potential extent of the excess rail line capacity problem to the presentation of suggested methods on how capacity adjustment impacts may be estimated. Analyses of changes in the energy situation suggest an adverse income effect on rural people from increased fuel prices. The adequacy of research in transportation problems affecting agriculture and rural areas was also discussed.