Occupational Employment and Wages Technical Note
Technical Note
Scope of the survey
The Occupational Employment Statistics (OES) survey is a semiannual mail
survey measuring occupational employment and wage rates for wage and salary
workers in nonfarm establishments in the United States. OES data available
from BLS include cross-industry occupational employment and wage estimates
for the nation; over 500 areas, including states and the District of
Columbia, metropolitan statistical areas (MSAs), metropolitan divisions,
nonmetropolitan areas, and territories; national industry-specific
estimates at the North American Industry Classification System (NAICS) sector,
3-, 4-, and selected 5- and 6-digit industry levels; and national estimates by
ownership across all industries and for schools and hospitals.
The OES survey is a cooperative effort between BLS and the State
Workforce Agencies (SWAs). BLS funds the survey and provides the procedures
and technical support, while the State Workforce Agencies collect most of
the data. OES estimates are constructed from a sample of about 1.2 million
establishments. Each year, forms are mailed to two semiannual panels of
approximately 200,000 sampled establishments, one panel in May and the
other in November. May 2012 estimates are based on responses from six
semiannual panels collected over a 3-year period: May 2012, November 2011,
May 2011, November 2010, May 2010, and November 2009. The overall national
response rate for the six panels is 76.6 percent based on establishments
and 72.9 percent based on employment. The unweighted employment of sampled
establishments across all six semiannual panels represents approximately
59.3 percent of total national employment.
The occupational coding system
The OES survey categorizes workers into 821 detailed occupations based
on the 2010 Office of Management and Budget’s Standard Occupational
Classification (SOC) system. Together, these detailed occupations make
up 22 of the 23 SOC major occupational groups. Major group 55, Military
Specific Occupations, is not included. OES estimates for 2010 and 2011
were based on a hybrid structure of the 2000 and 2010 SOC systems. For more
information about the hybrid structure, please see the Bureau of Labor
Statistics website at www.bls.gov/oes/oes_ques.htm#q40.
For more information about the SOC system, please see the BLS website
at www.bls.gov/soc/.
The industry coding system
The 2012 OES estimates are the first estimates based on the 2012 NAICS.
Previous OES estimates were based on the 2007 NAICS. For more information
about NAICS, see the BLS website at www.bls.gov/bls/naics.htm.
The OES survey excludes the majority of the agricultural sector, with
the exception of logging (NAICS 113310), support activities for crop
production (NAICS 1151), and support activities for animal
production (NAICS 1152). Private households (NAICS 814) also are excluded.
OES federal government data include the U.S. Postal Service and the federal
executive branch only. All other industries, including state and local
government, are covered by the survey.
The OES survey covers all full- and part-time wage and salary workers in
nonfarm industries. The survey does not include the self-employed, owners
and partners in unincorporated firms, household workers, or unpaid family
workers.
Survey sample
The OES survey draws its sample from state unemployment insurance (UI)
files. Supplemental sources are used for rail transportation (NAICS 4821)
and Guam because they do not report to the UI program. The OES survey
sample is stratified by metropolitan and nonmetropolitan area, industry,
and size.
To provide the most occupational coverage, larger employers are more
likely to be selected than smaller employers. An annual census is taken of
the executive branch of the federal government, the U.S. Postal Service,
and state government.
Concepts
Occupational employment is the estimate of total wage and salary
employment in an occupation. The OES survey defines employment as the
number of workers who can be classified as full- or part-time employees,
including workers on paid vacations or other types of paid leave; workers
on unpaid short-term absences; salaried officers, executives, and staff
members of incorporated firms; employees temporarily assigned to other
units; and employees for whom the reporting unit is their permanent
duty station, regardless of whether that unit prepares their paycheck.
Wages for the OES survey are straight-time, gross pay, exclusive of
premium pay. Base rate; cost-of-living allowances; guaranteed pay;
hazardous-duty pay; incentive pay, including commissions and production
bonuses; and tips are included. Excluded are overtime pay, severance pay,
shift differentials, nonproduction bonuses, employer cost for supplementary
benefits, and tuition reimbursements.
OES receives wage rate data for the federal government, the U.S. Postal
Service, and some state governments. For the remaining establishments, the
OES survey collects wage data in 12 intervals. For each occupation,
respondents are asked to report the number of employees paid within
specific wage intervals. The intervals are defined both as hourly rates and
the corresponding annual rates, where the annual rate for an occupation is
calculated by multiplying the hourly wage rate by a typical work year of
2,080 hours. The responding establishments are instructed to report the
hourly rate for part-time workers, and to report annual rates for
occupations that are typically paid at an annual rate but do not work 2,080
hours per year, such as teachers, pilots, and flight attendants. Other
workers, such as some entertainment workers, are paid hourly rates, but
generally do not work 40 hours per week, year round. For these workers,
only an hourly wage is reported.
Estimation methodology
The OES survey is designed to produce estimates by combining six panels
of data collected over a 3-year period. Each OES panel includes approximately
200,000 establishments. The full six-panel sample of nearly 1.2 million
establishments allows the production of estimates at detailed levels of
geography, industry, and occupation.
Wage updating. Significant reductions in sampling errors are obtained by
combining six panels of data, particularly for small geographic areas and
occupations. Wages for the current panel need no adjustment. However, wages
in the five previous panels need to be updated to the current panel's
reference period.
The OES program uses the BLS Employment Cost Index (ECI) to adjust
survey data from prior panels before combining them with the current
panel's data. The wage updating procedure adjusts each detailed
occupation's wage rate, as measured in the earlier panel, according to
the average movement of its broader occupational division.
Imputation. About 23 percent of establishments do not respond for a
given panel. A "nearest neighbor" hot deck imputation procedure is used to
impute missing occupational employment totals. A variant of mean imputation
is used to impute missing wage distributions.
Weighting and benchmarking. The sampled establishments are weighted to
represent all establishments for the reference period. Weights are further
adjusted by the ratio of employment totals (the average of November 2011
and May 2012 employment) from the BLS Quarterly Census of Employment and
Wages to employment totals from the OES survey.
For more information
Answers to frequently asked questions about the OES data are available
at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the
OES survey is available in our Survey Methods and Reliability Statement on
the BLS website at www.bls.gov/oes/2012/may/methods_statement.pdf.
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