Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.
Note: "Total Nonfarm" employment is not directly comparable to the "Employment" which is shown on the "Labor Force" page. See comparing sources of employment data for more information.
Industries are classified according to their North American Industry Classification System (NAICS) code. See NAICS: Frequently Asked Questions for additional information. A searchable version of the NAICS Manual is available on the Internet from the U.S. Bureau of the Census at http://www.census.gov/eos/www/naics/
These data are based on the Current Employment Statistics (CES) survey. The CES survey summarizes monthly employment, hours and earnings data from a sample of approximately 18,000 New York State employers. This survey is also referred to as the establishment, or wage and salary employment survey. The employment statistics represent persons employed full- or part-time in nonagricultural establishments during the payroll period including the 12th of the month.
The estimates are revised in the following month as job information is received from additional employers. Final revisions to the statewide and local area data, called a "Benchmark," are made each March for the previous two years based on payroll tax reports submitted by New York State employers covered by the Unemployment Insurance program to the state.
Effective with the publication of July 2014 employment estimates, the U.S. Bureau of Labor Statistics implements new sample units on a quarterly basis. Prior to this, new sample units were implemented once a year. Further information is available at: http://www.bls.gov/ces/cesqsi.htm
With the production of preliminary estimates for March 2011, responsibility for the production of State and Metropolitan Statistical Area (MSA) estimates will transition from individual State Workforce Agencies to the U. S. Bureau of Labor Statistics (BLS). State agencies will continue to provide the BLS with information on local events that may affect the estimates, such as strikes or large layoffs at businesses not covered by the survey, and to disseminate and analyze the CES estimates for local data users. This change is designed to improve the cost efficiency of the CES program and to reduce the potential for statistical bias in state and area estimates. A portion of the cost savings generated by this change is slated to be directed towards raising survey response rates in future years, which will decrease the level of statistical error in the CES estimates.
Estimates produced by the BLS at the statewide industry supersector level will continue to utilize an improved outlier identification procedure that has been in effect since the production of January 2010 preliminary state CES estimates. Beginning with March 2011 preliminary estimates, this procedure also will be used in the estimation of detailed industry statewide estimates and MSA estimates. In addition, at that time the BLS will implement an improved imputation procedure for major survey non-respondents and a procedure to correct for differential response rates within an industry sector. The use of these procedures will allow BLS to rely less on individual analyst judgment and more on the use of standard statistical methodology. Statewide and MSA series with smaller sample sizes will continue to be estimated using a small domain model. Introduction of the new estimation procedures may result in more month-to-month variability in the estimates, particularly in smaller MSAs. For further information on the estimators, see http://www.bls.gov/opub/hom/homch2.htm.
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