The number of sample units in the CES probability sample was fixed according to available program resources.The optimum allocation formula places more sample in cells for which data cost less to collect, cells that have more units, and cells that have a larger variance.Employers who have multiple establishments within a state usually report data for each individual establishment.
That system covers 97 percent of all employment within the scope of CES in the 50 states, the District of Columbia, Puerto Rico, and the U. Data for employers generally are reported at the worksite level.
Optimum allocation minimizes variance at a fixed cost or minimizes cost for a fixed variance.
Under the CES probability design, a fixed number of sample units for each state is distributed across the allocation strata in such a way as to minimize the overall variance, or sampling error, of the total state employment level.
The CES government sample is not part of the program's probability-based design.
CES is able to achieve a very high level of universe employment coverage in government industries by obtaining full payroll employment counts for many government agencies, eliminating the need for a probability-based sample design.