Because each state series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual state level errors and can cause significant distortions at an aggregate level. Reliability of the estimates All estimates from a sample survey are subject to sampling and other types of errors. Survey data are also subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the special estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.
Employment estimates .
Measures of sampling error are not available for state CES data, but the relatively large size of the samples maintained by the state agencies and the annual adjustment of employment estimates to more recent benchmark levels assure a high degree of accuracy. Information on recent benchmark revisions for states is available upon request. Information in this release will be made available to sensory impaired individuals upon request. Top Data Uses CES estimates are among the earliest economic information available to analyze current economic conditions. Because of this, CES estimates are heavily used in both the private and public sector.