Occupational employment

canning and preserving industry, June 1971 by John Franklin

Publisher: The Bureau in Washington, D.C

Written in English
Published: Pages: 10 Downloads: 171
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Subjects:

  • Canned foods industry -- United States -- Employees -- Statistics.,
  • Cannery workers -- United States -- Statistics.

Edition Notes

Other titlesCanning and preserving industry, June 1971.
StatementU.S. Department of Labor/Bureau of Labor Statistics.
SeriesReport -- 430-96., Report (United States. Bureau of Labor Statistics) -- 430-96.
ContributionsUnited States. Bureau of Labor Statistics.
The Physical Object
Pagination10 p. ;
Number of Pages10
ID Numbers
Open LibraryOL15249462M

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Occupational Wages. Occupational Employment Statistics (OES) are updated annually; estimates are produced in cooperation with the US Bureau of Labor Statistics. Published areas include Mississippi, Gulfport-Biloxi-Pascagoula MSA, Hattiesburg MSA, and the Jackson MSA in addition to the four Workforce Development Areas (WDAs) of Mississippi.

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Occupational Classifications and Employment Distributions in Construction. The construction workforce is defined by the Economic Census (see pages 2 and 3) as “construction workers” and “other employees”.“Construction workers” includes those directly engaged in construction operations, such as apprentices, working foremen, painters, carpenters, and laborers.

The occupational employment and wage estimates are based on data collected from the OES survey. The survey includes employment counts, occupations and wages from more than 4, Washington state employers. Data from six survey panels are combined to create a. Occupational Employment Statistics Mining, Construction, and Finance-insurance-real Estate (Book).

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The Occupational Employment Statistics (OES) survey is a semi-annual survey of approximatelynon-farm business establishments conducted by the Bureau of Labor Statistics (BLS), headquartered in Washington, DC with six regional offices and one office in each state.

Occupational Wages Employment and wage data by occupation are based on the Occupational Employment Statistics (OES) survey, which collects information from approximately 51, businesses. Estimates are based on responses from six semi-annual panels collected between November and.

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The O*NET SOC, which BLS used for the first set of ORS data, contains occupations. As a result, the ORS will classify occupations at a .