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News Release Information

19-1256-ATL
Tuesday, July 16, 2019

Contacts Technical information: Media contact:
  • (404) 893-4220

Occupational Employment and Wages in Pensacola-Ferry Pass-Brent — May 2018

Workers in the Pensacola-Ferry Pass-Brent Metropolitan Statistical Area had an average (mean) hourly wage of $20.43 in May 2018, about 18 percent below the nationwide average of $24.98, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Janet S. Rankin noted that, after testing for statistical significance, 20 of the 22 major occupational groups had average wages in the local area that were significantly lower than their respective national averages including legal; construction and extraction; and management.

When compared to the nationwide distribution, local employment was more highly concentrated in 9 of the 22 occupational groups, including office and administrative support; food preparation and serving related; and sales and related. Conversely, 11 groups had employment shares significantly below their national representation, including production; transportation and material moving; and personal care and service. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Pensacola-Ferry Pass-Brent Metropolitan Statistical Area, and measures of statistical significance, May 2018
Major occupational groupPercent of total employmentMean hourly wage
United StatesPensacolaUnited StatesPensacolaPercent difference (1)

Total, all occupations

100.0100.0$24.98$20.43*-18

Management

5.33.8*58.4445.10*-23

Business and financial operations

5.34.1*36.9829.54*-20

Computer and mathematical

3.02.0*44.0134.27*-22

Architecture and engineering

1.81.2*42.0136.43*-13

Life, physical, and social science

0.80.5*36.6227.14*-26

Community and social service

1.51.3*23.6921.59*-9

Legal

0.80.9*52.2537.66*-28

Education, training, and library

6.15.827.2224.02*-12

Arts, design, entertainment, sports, and media

1.30.8*28.7421.75*-24

Healthcare practitioners and technical

6.07.3*39.4235.03*-11

Healthcare support

2.83.4*15.5714.16*-9

Protective service

2.43.2*23.3618.85*-19

Food preparation and serving related

9.212.4*12.3011.45*-7

Building and grounds cleaning and maintenance

3.13.314.4312.40*-14

Personal care and service

3.82.2*13.5112.69*-6

Sales and related

10.011.8*20.0917.09*-15

Office and administrative support

15.118.3*18.7516.19*-14

Farming, fishing, and forestry

0.30.1*14.4914.500

Construction and extraction

4.15.0*24.6218.26*-26

Installation, maintenance, and repair

3.94.3*23.5421.43*-9

Production

6.33.4*18.8418.900

Transportation and material moving

7.14.8*18.4116.81*-9

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Pensacola-Ferry Pass-Brent Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
* The mean hourly wage or percent share of employment is significantly different from the national average of all areas at the 90-percent confidence level.

One occupational group—office and administrative support—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Pensacola-Ferry Pass-Brent had 31,990 jobs in office and administrative support, accounting for 18.3 percent of local area employment, significantly higher than the 15.1-percent share nationally. The average hourly wage for this occupational group locally was $16.19, significantly below the national wage of $18.75.

Some of the larger detailed occupations within the office and administrative support group included customer service representatives (6,280); general office clerks (3,990); and stock clerks and order fillers (3,230). Among the higher-paying jobs in this group were first-line supervisors of office and administrative support workers, and production, planning, and expediting clerks, with mean hourly wages of $24.11 and $23.75, respectively. At the lower end of the wage scale were hotel, motel, and resort desk clerks ($10.35) and clerical library assistants ($10.46). (Detailed data for 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_37860.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 Pensacola-Ferry Pass-Brent Metropolitan Statistical Area, above-average concentrations of employment were found in some of the occupations within the office and administrative support group. For instance, tellers were employed at 1.9 times the national rate in Pensacola, and legal secretaries, at 1.7 times the U.S. average. On the other hand, bookkeeping, accounting, and auditing clerks had a location quotient of 1.1 in Pensacola, 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 Florida Department of Economic Opportunity.

Area Changes to the May 2018 Occupational Employment Statistics (OES)

OES continues to publish data for metropolitan and nonmetropolitan areas that cover the full geography of the United States. However, the level of detail available has decreased.

OES no longer publishes data for metropolitan divisions. Data for the 11 large metropolitan areas that contain divisions are now available at the Metropolitan Statistical Area (MSA) or New England City and Town Area (NECTA) level only.

In addition, some smaller nonmetropolitan areas have been combined to form larger nonmetropolitan areas. The May 2018 OES estimates contain data for 134 nonmetropolitan areas, compared with 167 nonmetropolitan areas in the May 2017 estimates.

More information on these area changes is available at www.bls.gov/oes/areas_2018.htm.

Implementing the 2018 Standard Occupational Classification (SOC) System

The OES program plans to begin implementing the 2018 Standard Occupational Classification (SOC) system with the May 2019 estimates, to be released by early April of 2020. Because each set of OES estimates is produced by combining three years of survey data, estimates for May 2019 and May 2020 will be based on a combination of survey data collected under the 2010 SOC and data collected under the 2018 SOC, and will use a hybrid of the two classification systems. The May 2021 OES estimates, to be released by early April of 2022, will be the first set of estimates based fully on the 2018 SOC. For more information, please see www.bls.gov/oes/soc_2018.htm.


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 Pensacola-Ferry Pass-Brent Metropolitan Statistical Area included 1,913 establishments with a response rate of 76 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 Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area includes Escambia and Santa Rosa Counties.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/southeast. 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, Pensacola-Ferry Pass-Brent Metropolitan Statistical Area, May 2018
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Office and administrative support occupations

31,9901.2$16.19$33,670

First-line supervisors of office and administrative support workers

2,4801.424.1150,150

Switchboard operators, including answering service

901.013.5328,140

Bill and account collectors

2200.717.8937,200

Billing and posting clerks

4700.817.5036,390

Bookkeeping, accounting, and auditing clerks

1,9601.117.8737,180

Payroll and timekeeping clerks

1300.718.6138,700

Procurement clerks

801.019.3540,250

Tellers

1,0901.914.8430,880

Court, municipal, and license clerks

1901.114.9531,090

Credit authorizers, checkers, and clerks

(5)(5)13.5128,090

Customer service representatives

6,2801.814.7630,700

File clerks

1301.015.0131,210

Hotel, motel, and resort desk clerks

5601.810.3521,530

Interviewers, except eligibility and loan

2501.115.1531,520

Library assistants, clerical

600.610.4621,750

Loan interviewers and clerks

4501.719.7841,140

Order clerks

600.318.2037,850

Human resources assistants, except payroll and timekeeping

1801.218.1437,740

Receptionists and information clerks

1,4201.113.5128,100

Reservation and transportation ticket agents and travel clerks

1100.720.5042,630

Information and record clerks, all other

3702.018.7038,890

Cargo and freight agents

700.7(5)(5)

Couriers and messengers

1101.211.6924,320

Police, fire, and ambulance dispatchers

1201.014.3929,930

Dispatchers, except police, fire, and ambulance

2200.919.7241,020

Meter readers, utilities

(5)(5)19.3740,290

Postal service clerks

800.923.7049,300

Postal service mail carriers

5001.224.8151,610

Postal service mail sorters, processors, and processing machine operators

1801.423.3248,510

Production, planning, and expediting clerks

1400.323.7549,400

Shipping, receiving, and traffic clerks

3800.517.0635,480

Stock clerks and order fillers

3,2301.312.8626,750

Executive secretaries and executive administrative assistants

4400.620.5442,730

Legal secretaries

3601.719.0539,630

Medical secretaries

9701.415.0331,260

Secretaries and administrative assistants, except legal, medical, and executive

3,0001.215.4032,020

Data entry keyers

3401.615.3932,010

Word processors and typists

500.713.0627,160

Insurance claims and policy processing clerks

(5)(5)17.8737,170

Mail clerks and mail machine operators, except postal service

(5)(5)15.6832,610

Office clerks, general

3,9901.114.9531,090

Office machine operators, except computer

500.814.4029,950

Office and administrative support workers, all other

3801.613.4728,020

Footnotes:
(1) For a complete listing of all detailed occupations in the Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_37860.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.

 

Last Modified Date: Tuesday, July 16, 2019