Workers in the St. Joseph Metropolitan Statistical Area had an average (mean) hourly wage of $20.49 in May 2018, about 18 percent below the nationwide average of $24.98, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Stanley W. Suchman noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 19 of the 22 major occupational groups, including legal; arts, design, entertainment, sports, and media; and computer and mathematical. One group had a significantly higher average wages than its respective national average.

When compared to the nationwide distribution, local employment was more highly concentrated in 4 of the 22 occupational groups, including production; personal care and service; and installation, maintenance, and repair. Conversely, 10 groups had employment shares significantly below their national representation, including computer and mathematical; business and financial operations; and management. (See table A and box note at end of release.)

One occupational group—office and administrative support—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. St. Joseph had 8,150 jobs in office and administrative support occupations, accounting for 15.1 percent of local area employment, the same as the national share. The average hourly wage for this occupational group locally was $16.58, significantly below the national wage of $18.75.

Some of the larger detailed occupations within the office and administrative support group included secretaries and administrative assistants, except legal, medical, and executive (1,510), customer service representatives (1,120), and stock clerks and order fillers (750). Among the higher-paying jobs in this group were executive secretaries and executive administrative assistants and first-line supervisors of office and administrative support workers, with mean hourly wages of $25.70 and $25.17, respectively. At the lower end of the wage scale were hotel, motel, and resort desk clerks ($10.04) and library assistants, clerical ($10.58). (Detailed data for the office and administrative support occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_41140.htm .)

Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area than it does nationally. In the St. Joseph Metropolitan Statistical Area, above-average concentrations of employment were found in some of the occupations within the office and administrative support group. For instance, secretaries and administrative assistants, except legal, medical, and executive were employed at 1.9 times the national rate in St. Joseph, and medical secretaries, at 1.7 times the U.S. average. On the other hand, stock clerks and order fillers had a location quotient of 1.0 in St. Joseph, indicating that this particular occupation’s local and national employment shares were similar.

These statistics are from the Occupational Employment Statistics (OES) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the Missouri Department of Economic Development.

Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OES data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OES data are available at www.bls.gov/oes/tables.htm.

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, two semiannual panels of approximately 180,000 to 200,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by mail, Internet or other electronic means, email, telephone, or personal visit. The May 2018 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2018, November 2017, May 2017, November 2016, May 2016, and November 2015. The unweighted sample employment of 83 million across all six semiannual panels represents approximately 58 percent of total national employment. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 71 percent based on establishments and 68 percent based on weighted sampled employment. The sample in the St. Joseph Metropolitan Statistical Area included 897 establishments with a response rate of 66 percent. For more information about OES concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.

A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with the ability to make confident statements about a universe based on a sample. It is entirely possible that a large difference between two values is not significantly different statistically, while a small difference is, since both the size and heterogeneity of the sample affect the relative error of the data being tested.

The May 2018 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2017 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc and information about the 2017 NAICS is available at www.bls.gov/bls/naics.htm.

Metropolitan area definitions

The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.

The St. Joseph, MO-KS Metropolitan Statistical Area includes Andrew, Buchanan, and DeKalb Counties of Missouri and Doniphan County of Kansas.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/mountain-plains. 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/current/methods_statement.pdf.

Information in this release will be made available to sensory impaired individuals upon request . Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, St. Joseph Metropolitan Statistical Area, May 2018

Occupation (1)	Employment		Mean wages
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Office and administrative support occupations	8,150	1.0	$16.58	$34,490
First-line supervisors of office and administrative support workers	380	0.7	25.17	52,360
Billing and posting clerks	100	0.6	16.76	34,850
Bookkeeping, accounting, and auditing clerks	450	0.8	18.30	38,070
Payroll and timekeeping clerks	(5)	(5)	19.06	39,650
Tellers	220	1.3	13.28	27,630
Court, municipal, and license clerks	100	1.8	15.01	31,230
Customer service representatives	1,120	1.1	15.74	32,750
Eligibility interviewers, government programs	40	0.9	15.80	32,850
Hotel, motel, and resort desk clerks	60	0.6	10.04	20,880
Library assistants, clerical	60	1.7	10.58	22,010
Loan interviewers and clerks	140	1.7	14.80	30,790
New accounts clerks	80	5.2	13.11	27,270
Human resources assistants, except payroll and timekeeping	60	1.2	15.61	32,470
Receptionists and information clerks	270	0.7	13.25	27,570
Dispatchers, except police, fire, and ambulance	100	1.4	20.70	43,050
Postal service clerks	40	1.3	23.37	48,610
Postal service mail carriers	140	1.1	24.54	51,040
Production, planning, and expediting clerks	130	1.0	21.71	45,150
Shipping, receiving, and traffic clerks	250	1.0	16.56	34,440
Stock clerks and order fillers	750	1.0	13.01	27,070
Weighers, measurers, checkers, and samplers, recordkeeping	50	2.0	15.28	31,790
Executive secretaries and executive administrative assistants	160	0.8	25.70	53,450
Medical secretaries	370	1.7	15.65	32,550
Secretaries and administrative assistants, except legal, medical, and executive	1,510	1.9	15.14	31,490
Data entry keyers	50	0.8	15.46	32,160
Insurance claims and policy processing clerks	120	1.2	(5)	(5)
Mail clerks and mail machine operators, except postal service	50	1.6	13.23	27,530
Office clerks, general	650	0.6	15.09	31,380
Footnotes: (1) For a complete listing of all detailed occupations in the St. Joseph, MO-KS Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_41140.htm. (2) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers. (3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average. (4) Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data. (5) Estimate not released.