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The National Compensation Survey1(NCS) captures the provisions and costs of employer-provided benefits in private industry and state and local government, including leave benefits such as vacation, sick leave, and holidays. In a series of holiday profiles, BLS is publishing data on the incidence of federal and other prominent holidays below. Over 3 in 4 civilian workers2 (77 percent) received paid holidays in March 2018, averaging 8 paid holidays per year.3 Paid holidays cost employers an average of 77 cents per employee hour worked.4
Standard errors are based only on collected holiday information. Data that satisfied relative standard error criteria for collected and matched holiday collection information were used in the holiday profiles (see the Technical Note for more information).
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Individual holiday profiles for 2017 are available for the following holidays:
The estimates of specific paid holiday percentages are based on information field economists collected for sample establishments. Missing data were not subject to standard imputation procedures used in other NCS publications. Workers were included as having paid holiday leave for either partial or full workday paid holidays. Data are rounded to the nearest whole number. Use caution in applying these estimates because they are only based on collected data, part of the overall sample, and not subject to standard imputation and processing methods. Those methods can affect estimates based on establishment and worker characteristics of available and missing holiday information.5
To assist users in ascertaining the reliability of the NCS holiday profile data, standard errors of all published estimates are found in each profile. Standard errors provide users a tool to judge the quality of an estimate to ensure that it is within an acceptable range for their intended purpose.
Benefits data used in the holiday profile are derived from a sample survey used for the National Compensation Survey and thus, it is subject to sampling errors. Sampling errors are differences that occur between the results computed from a sample of observations and those computed from all observations in a population. Caution should be applied in using holiday profile estimates because they are only based on a subsample of the overall sample using collected establishments that provide workers with paid holidays. Estimates derived from subsamples using the same sample design may differ from each other.
The standard error is a measure of the variation among these differing estimates. It can be used to measure the precision with which an estimate from a particular sample approximates the expected result of all possible samples. The standard errors can be used to define a range or level of confidence (confidence interval) around an estimate. For instance, the 90 percent confidence level means that if all possible samples were selected and an estimate of a value and its sampling error were computed for each, then for approximately 90 percent of the samples, the intervals from 1.6 standard errors below the estimate to 1.6 standard errors above the estimate would include the "true" average value. For example, the 90 percent confidence interval for an estimate of 5.0 percent with a standard error of 1.1 percentage points would be 5.0 percent plus or minus 1.8 percentage points (1.6 standard errors times 1.1 percentage points) or 3.2 to 6.8 percent.
The chances are about 68 out of 100 percent that an estimate differs from the true population figure within one standard error. The chances are about 90 out of 100 percent that this difference would be within 1.6 standard errors. This means that in the example above, the chances are 90 out of 100 percent that the estimated index percent change is between 3.2 and 6.8 percent.
Comparative statements appearing in each holiday profile are statistically significant at the 90 percent level of confidence, unless otherwise indicated. This means that for differences cited, the estimated difference is greater than 1.6 times the standard error of the difference.
Additional estimates on holidays are available at www.bls.gov/ebs/publications/pdf/bulletin-2789-september-2018-employee-benefits-in-the-united-states-march-2018.pdf.
(1) The National Compensation Survey (NCS) collects information on employee wages and salaries and benefits from a nationally representative sample of about 8,000 responding establishments. (See March 2018 Appendix 1). The NCS program produces the Employment Cost Index (ECI) and Employer Costs for Employee Compensation (ECEC). The ECI tracks changes over time in average employer costs for pay and benefits, while the ECEC expresses average employer costs for pay and benefits in dollars and cents. The NCS also tracks coverage and provisions of employer-sponsored benefits such as healthcare, retirement, and leave benefits. For more information, see www.bls.gov/eci/.
(2) Civilian workers includes both private industry and state and local government workers.
(3) Bureau of Labor Statistics: National Compensation Survey: Employee Benefits in the United States, March 2018, PDF.
(4) Bureau of Labor Statistics: National Compensation Survey: Employer Costs for Employee Compensation, March 2018, www.bls.gov/news.release/archives/ecec_06082018.pdf.
(5) Bureau of Labor Statistics: Handbook of Methods, National Compensation Measures, www.bls.gov/opub/hom/ncs/home.htm.
Last Modified Date: July 7, 2025