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Government estimates are combined with the total private estimates to obtain values for total nonfarm.

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The total private and government portions of the CES sample are selected using two different methods.

Private establishments in the CES sample frame are stratified by state, industry, and size.

Employers who have multiple establishments within a state usually report data for each individual establishment.

The LDB tracks establishments over time and links them from quarter to quarter.

The sample strata, or subpopulations, are defined by state, industry, and employment size, yielding a state-based design.

The sampling rates for each stratum are determined through a method known as optimum allocation, which distributes a fixed number of sample units across a set of strata to minimize the overall variance, or sampling error, on the primary estimate of interest.

The active CES sample includes approximately one-third of all nonfarm payroll employees in the 50 states and the District of Columbia.

From these data, a large number of employment, hours, and earnings series in considerable industry and geographic detail are prepared and published each month.

Within each allocation cell, units are grouped by metropolitan statistical area (MSA), and these MSAs are sorted by the size of the MSA, defined as the number of UI accounts in that MSA.

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