Employment, Hours, and Earnings 2017 Pdf Bernan Press proudly Introduces the 11th Version of Employment, Hours, and Earnings: States and Places, 2017.
This variant features:
Virtually 300 tables with information on employment for every state, the District of Columbia, along with the country’s second-largest metropolitan statistical areas (MSAs)
Thorough, non-seasonally corrected, industry information organized by year and month
Hours and earnings data for every state, by industry
A debut for every state and the District of Columbia that defines salient information and notable trends, such as changes in population and the civilian labour force, industry increases and declines, unemployment and employment figures, and a graph detailing job proportions, by industry
Position of this seventy-five largest MSAs, such as census population estimates, unemployment rates, along with the percentage change in total nonfarm employment,
Concise technical notes which describe pertinent facts about the information, such as sources, definitions, and important changes; also provides references for Additional advice
A comprehensive appendix which details the geographical components of the second-largest biggest MSAs
The job, hours, and earnings statistics in this book provide a timely and detailed picture of the fifty states, the District of Columbia, along with the country’s seventy-five largest MSAs. These data may be utilized to examine key aspects impacting local and state markets and also to compare national Geographic trends to local-level financial action.
This reference is a great source of information for analysts in both the private and public businesses. Clients that take part in public policy may make use of these data to ascertain the health of the market, to clearly identify which businesses are growing and which are falling, and also to ascertain the need for national aid. State and local authorities may use the information to ascertain the demand for solutions, including unemployment and training aid, and for planning and budgetary purposes. Additionally, the information may be utilized to predict tax revenue. In private industry, the information may be used by company owners to compare their own company to the market as a whole; and also to determine suitable areas when making conclusions regarding plant places, retail and wholesale outlets, and also for finding a particular business base.
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