Bernan, long a packager of government statistics, offers two new statistical compilations no longer published by GPO. Patterns of Economic Change by State and Area makes use of census and business statistics to provide yearly statistics, 1958–2012, on income and employment for the nation, regions, states, and metropolitan areas. Additional tables provide GDP for region, state, and area, and median ... Read moreincome and poverty by state. Each part begins with explanations that make using the statistics easier for the novice researcher, and include definitions and notes to the tables. Race and Employment in America: 2013, also a new working of government data, is based on Equal Employment Opportunity (EEO) and American Community Survey data. Information on workers by race, Hispanic origin, occupation, education, and location has been available previously, but notoriously difficult to find and connect. As in Patterns of Economic Change by State and Area, the data are presented for the nation, states, and metropolitan areas, covering the years 2006–2010. An example of a table of current interest is 'Science Engineering and Computer Professionals by Metropolitan Statistical Area, Sex, Race, and Hispanic or Latino Origin 2006–2010.' Color pie charts give clear demonstration of some of the national figures. Appendixes provide notes and definitions, information on EEO occupational groups, and information on metro areas and their components. Both of these works are well produced with clear tables, printed with enough white space to make them visually accessible for most. Each is documented as to the source and coverage of the data. With a reasonable price point, these reference sources are well within budget range for most libraries that need this information.
Booklist
This new title complements State and Metropolitan Area Data Book(see ARBA 2014, entry 766) and County and City Extra (see ARBA 2014, entry 778). All the data were originally compiled and published by the United States government. The source is identified at the beginning of each section, along with the URL so a patron can update the information if using it for a critical application. The highlights from the data and definitions explaining how the numbers were compiled are at the beginning of each section. The states in each region are identified in the definitions in Part A. The tables are well designed to provide the data in ways that users will be able to find the data they need, to compare different years, different regions, states, or metropolitan areas. . . .Because of the way the tables are constructed and the definitions of how numbers were compiled, students from junior high through adults will find it easy to use for statistical data, making it suitable for all school, academic, and public libraries.
American Reference Books Annual
This resource is organized into three sections: 'Personal Income and Employment by Region, State, and [Metropolitan Statistical] Area'; 'Gross Domestic Product by Region, State, and Area'; and 'Median Income and Poverty by State.' Most data appear in the 'Personal Income and Employment' category. For 366 metropolitan statistical areas, data are listed for the period 1969-2011; column headings include 'Personal Income (Total),' 'Derivation of Personal Income' (e.g., 'Earnings by Place of Work–Nonfarm, Farm, Total'), 'Per Capita Personal Income (Dollars),' 'Population (Persons),' and 'Total Employment.' Personal income figures are calculated using adjustments for factors such as residence and contributions for government social insurance. Similar data are presented for regions and states for 1958-2012. The United States Census Bureau website does provide some data at no charge, though by decade rather than annually and not in one place. This book is a special edition of Business Statistics of the United States. A significant portion of its regional and state data is included in Business Statistics; however, the city data are unique. This historical time series information would be difficult to obtain without a subscription to a data set or without combing through government documents. Summing Up: Recommended. Lower-level undergraduates through researchers/faculty.
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