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Department of Labor

Average Hourly and Weekly Earnings

Important Notice
Hours and earnings estimates from April 2015-December 2016 from the monthly Current Employment Statistics (CES) survey were revised as part of the annual benchmarking process, and released on the New York State Department of Labor web site on March 3, 2017. Questions regarding the revised hours and earnings estimates should be directed to your local labor market analyst.

Current Month's Data

(With over-the-month and over-the-year changes)

Historical Estimates

Hours and earnings estimates--by place of work--provide the most up-to-date hours worked and hourly & weekly wage estimates available by industry. Estimates are based on the monthly Current Employment Statistics (CES) survey of over 18,000 businesses, which uses probability sampling methodology and is based on the new NAICS classification system. Hours and earnings figures are available for New York State selected industries only. Current estimates are developed and distributed monthly.

The entire set of currently available historical NAICS-based jobs data for New York State, metropolitan statistical areas (MSAs), and minor counties (outside of MSAs) is available by downloading the file, This compressed archive consists of a layout file (readme.txt) and the following comma-separated-value (CSV) data files:

File NameDescription
ces_naics.txt Jobs data for New York State and MSAs
ces_minor.txt Jobs data for minor counties
ces_earnings.txt Average weekly earnings by industry (statewide only) of:
  • all workers
  • production workers
ces_hourearn.txt Average hourly earnings by industry (statewide only) of:
  • all workers
  • production workers
ces_hours.txt Average weekly hours by industry (statewide only) of:
  • all workers
  • production workers

All files can be uncompressed with either the winzip or pkunzip utility programs. A self-extracting version ces.exe is also available. After extracting the files from the archive, they may be imported into a spreadsheet application. The text and data should parse automatically into columns.

For more information concerning hours and earnings by Industry, see Technical Notes. For additional information on the various sources of employment data, see comparing sources of employment data.

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