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Employment/Unemployment and Earnings Statistics: A Guide to Locating Data in U.S. Documents
Contributor(s): Ross, John Munder (Author)
ISBN: 081083099X     ISBN-13: 9780810830998
Publisher: Scarecrow Press
OUR PRICE:   $104.50  
Product Type: Hardcover
Published: April 1996
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: The first reference work to provide librarians, students, and researchers with a single bibliographic tool to locate statistics on employment and income in the multitude of U.S. government documents. Includes detailed reports on employment and income, analyzed in a grid format by geographic area (subdivided by age, sex, and race), congressional district, zip code, industry, and occupation. This guide is highly recommended for any library providing information on employment...this valuable resource will provide a useful entree into the extensive data published by the U.S. government... --ARBA No doubt a very useful reference tool for anyone having regularly or occasionally to venture into this mazy area of statistics. --INTERNATIONAL LABOUR REVIEW
Additional Information
BISAC Categories:
- Reference | Bibliographies & Indexes
- Social Science
- Business & Economics | Labor
Dewey: 016.331
LCCN: 95-46965
Series: Magill Bibliographies
Physical Information: 0.77" H x 6.08" W x 8.48" (0.97 lbs) 240 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The first reference work to provide librarians, students, and researchers with a single bibliographic tool to locate statistics on employment and income in the multitude of U.S. government documents. This bibliography is divided into three sections: comprehensive reports with general data on employment and income; reports with information on employment only; and reports with material on income only. The extensive, two-part subject index helps locate labor statistics on specific population groups, specific locations, specific industries and occupations, and other subject areas. The detailed reports on employment and income are analyzed in a grid format by geographic area (subdivided by age, sex, and race), congressional district, zip code, industry, and occupation.