SMBeat Highlights

Employment Metrics - September Result

Inside This Issue

  • National Employment Report: In September, net job growth dipped to 1.71%, down from August’s growth of 1.84%.1

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About SMBeat

SMBeat provides a detailed analysis for trends in key human capital economic indicators for small and medium-sized businesses. TriNet generates payroll information by tracking real-time movements within its base of approximately 258,000 worksite employees from 9,000 clients (as of 06/30/14). The use of “TriNet population” or “TriNet clients” throughout this document refers to a filtered subset of full-time, salaried TriNet clients’ employees (or worksite employees).  All reported statistics are also seasonally adjusted using the U.S. Census Bureau X12-ARIMA methodology unless otherwise indicated. All reported months follow the Bureau of Labor Statistics U.S. jobs report covering the 13th of the previous month to the 12th of the current month. These companies represent the following industry verticals: construction, manufacturing, retail/wholesale, professional services, personal services, technology, financial services, and life sciences. SMBeat aggregates and reports data reflecting compensation, hiring and retention (both involuntary terminations and voluntary resignations), and also provides ongoing analysis of contributing factors to these trends, including regional, industry, and seasonal variables.  Slight adjustments will be made to historical figures in time series charts if and when updated employment information about actual prior periods is obtained. All text and figures in the SMBeat are created by internal analysis of TriNet data unless otherwise noted. All sentences in a footnoted paragraph originate from the footnoted sentence source. SMBeat follows the Chicago Manual of Style for footnotes. Any significant revisions to previous issues of SMBeat will be called out in this section or in footnotes.

1All historical estimates in previous SMBeat publications are routinely revised to incorporate additional data and recalculated seasonal adjustment factors.