The Statistical Abstract of the United States, published since 1878, is the standard summary of statistics on the social, political, and economic organization of the United States. It is designed to serve as a convenient volume for statistical reference and as a guide to other statistical publications and sources. The latter function is served by the introductory text to each section, the source note appearing below each table, and Appendix I, which comprises the Guide to Sources of Statistics, the Guide to State Statistical Abstracts, and the Guide to Foreign Statistical Abstracts.

The County and City Data Book is a valuable tool for any academic and public library and contains essential data for any economic development official, regional planner, and urban researcher. It is the most comprehensive source of information about the individual counties and cities in the United States. This edition includes: More than 175 data items for all states and the nation's 3,141 counties. Approximately 80 data items for 1,265 incorporated places with populations of 25,000 or more. Nearly 80 additional items from the American Community Survey for 242 incorporated places with populations of 100,000 or more. 2006 population estimates for all states and counties. A complete list of metropolitan areas and their component counties with 2006 population estimates. A complete set of state maps showing all counties and incorporated places with populations of 25,000 or more.

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.