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15-644-DAL
Tuesday, April 14, 2015

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Occupational Employment and Wages in Corpus Christi, May 2014

Workers in the Corpus Christi Metropolitan Statistical Area had an average (mean) hourly wage of $19.42 in May 2014, about 14 percent below the nationwide average of $22.71, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Stanley W. Suchman noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 2 of the 22 major occupational groups, including production, while 14 groups had significantly lower wages including personal care and service; computer and mathematical; and healthcare support. Wage levels in six occupational groups were not statistically different from their respective national averages.

When compared to the nationwide distribution, Corpus Christi employment was more highly concentrated in 5 of the 22 occupational groups, including construction and extraction; installation, maintenance and repair; and food preparation and serving related. Conversely, 10 groups had employment shares significantly below their national representation, including computer and mathematical; business and financial operations; and office and administrative support. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Corpus Christi Metropolitan Statistical Area, and measures of statistical significance, May 2014
Major occupational group Percent of total employment Mean hourly wage
United States Corpus Christi United States Corpus Christi Percent
difference(1)

Total, all occupations

100.0% 100.0%   $22.71 $19.42 * -14

Management

5.0 3.6 * 54.08 45.45 * -16

Business and financial operations

5.1 3.1 * 34.81 30.36 * -13

Computer and mathematical

2.8 0.8 * 40.37 32.25 * -20

Architecture and engineering

1.8 1.4 * 39.19 39.66   1

Life, physical, and social science

0.8 0.8   33.69 28.79 * -15

Community and social service

1.4 1.0 * 21.79 20.97   -4

Legal

0.8 0.5 * 48.61 45.11   -7

Education, training, and library

6.2 6.2   25.10 23.04 * -8

Arts, design, entertainment, sports, and media

1.3 0.6 * 26.82 20.31 * -24

Healthcare practitioners and technical

5.8 5.5   36.54 33.44 * -8

Healthcare support

2.9 4.0 * 13.86 11.56 * -17

Protective service

2.4 2.2   21.14 21.19   0

Food preparation and serving related

9.1 11.3 * 10.57 9.68 * -8

Building and grounds cleaning and maintenance

3.2 3.1   12.68 10.38 * -18

Personal care and service

3.1 4.0 * 12.01 9.24 * -23

Sales and related

10.5 10.3   18.59 16.48 * -11

Office and administrative support

16.0 14.3 * 17.08 14.78 * -13

Farming, fishing, and forestry

0.3 0.2 * 12.09 15.96 * 32

Construction and extraction

3.9 8.3 * 22.40 20.55 * -8

Installation, maintenance, and repair

3.9 6.5 * 21.74 21.45   -1

Production

6.6 5.4 * 17.06 20.99 * 23

Transportation and material moving

6.8 6.8   16.57 16.32   -2

(1) A positive percent difference measures how much the mean wage in Corpus Christi is above the national mean wage, while a negative difference reflects a lower wage.

Note: * The percent share of employment or mean hourly wage for this area is significantly different from the national average of all areas at the 90-percent confidence level.

One occupational group – construction and extraction – was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Corpus Christi had 15,480 jobs in construction and extraction, accounting for 8.3 percent of local area employment, more than double the national share of 3.9 percent. However, the local wage for this occupational group was measurably lower than the U.S. average. At $20.55 an hour, the mean wage for Corpus Christi construction and extraction workers was about 8 percent below the $22.40 national average.

With employment of 2,520, construction laborers was chosen to illustrate the largest occupations within the construction and extraction group, as were first-line supervisors of construction trades and extraction workers (1,620), and oil and gas roustabouts (1,450). Among the higher paying jobs were oil, gas, and mining service unit operators, as well as first-line supervisors of construction trades and extraction workers, with mean hourly wages of $33.02 and $30.48, respectively. At the lower end of the wage scale were construction laborers ($13.53) and carpenters ($17.03). (Detailed occupational data for construction and extraction are presented in table 1; for a complete listing of all detailed occupations, see www.bls.gov/oes/current/oes_18580.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 Corpus Christi metropolitan area, above average concentrations of employment were found in many of the detailed occupations within the construction and extraction group. For instance, oil, gas, and mining service unit operators were employed at 15.0 times the national rate in Corpus Christi, and oil and gas roustabouts, at 14.3 times the U.S. average. Both location quotients were among the highest in all metropolitan areas for these particular occupations. On the other hand, carpenters had a location quotient of 1.1 in Corpus Christi, indicating that this 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 Texas Workforce Commission.

Note

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.


Technical Note

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. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year. May 2014 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2014, November 2013, May 2013, November 2012, May 2012, and November 2011. The overall national response rate for the six panels is 74.3 percent based on establishments and 70.5 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.1 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Corpus Christi Metropolitan Statistical Area included 1,990 establishments with a response rate of 68 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and 821 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas. In addition, employment and wage estimates for 94 minor groups and 458 broad occupations are available in the national data. OES data by state and metropolitan/nonmetropolitan area are available from www.bls.gov/oes/current/oessrcst.htm and www.bls.gov/oes/current/oessrcma.htm, respectively.

The May 2014 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 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 2012 NAICS is available at www.bls.gov/bls/naics.htm.

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 Corpus Christi Metropolitan Statistical Area (MSA) includes Aransas, Nueces and San Patricio Counties in Texas.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/southwest. 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, Corpus Christi Metropolitan Statistical Area, May 2014
Occupation(1) Employment Mean wages
Level(2) Location
quotient(3)
Hourly Annual(4)

 

Construction and extraction occupations
15,480 2.1 $20.55 $42,750

First-line supervisors of construction trades and extraction workers

1,620 2.4 30.48 63,400

Boilermakers

110 4.5 27.26 56,700

Carpenters

930 1.1 17.03 35,420

Cement masons and concrete finishers

230 1.1 15.37 31,960

Construction laborers

2,520 2.1 13.53 28,140

Paving, surfacing, and tamping equipment operators

(5) (5) 17.81 37,050

Pile-driver operators

(5) (5) 25.96 53,990

Operating engineers and other construction equipment operators

920 1.9 17.66 36,730

Electricians

1,020 1.3 21.50 44,720

Insulation workers, floor, ceiling, and wall

150 4.5 15.36 31,940

Painters, construction and maintenance

500 1.8 18.60 38,680

Pipelayers

40 0.7 15.62 32,480

Plumbers, pipefitters, and steamfitters

480 0.9 22.87 47,560

Roofers

70 0.5 12.28 25,530

Sheet metal workers

620 3.4 24.35 50,650

Structural iron and steel workers

(5) (5) 20.96 43,590

Helpers-carpenters

(5) (5) 13.95 29,020

Helpers-electricians

(5) (5) 14.02 29,150

Helpers-painters, paperhangers, plasterers, and stucco masons

90 5.6 13.53 28,150

Helpers-pipelayers, plumbers, pipefitters, and steamfitters

150 2.1 12.69 26,390

Helpers, construction trades, all other

350 13.3 15.48 32,190

Construction and building inspectors

130 1.1 25.82 53,710

Elevator installers and repairers

90 3.3 36.31 75,520

Hazardous materials removal workers

(5) (5) 17.83 37,090

Highway maintenance workers

160 0.8 16.18 33,660

Derrick operators, oil and gas

150 5.3 22.39 46,570

Rotary drill operators, oil and gas

340 9.3 26.50 55,120

Service unit operators, oil, gas, and mining

1,280 15.0 33.02 68,690

Earth drillers, except oil and gas

(5) (5) 14.14 29,400

Roustabouts, oil and gas

1,450 14.3 17.31 36,010

Helpers-extraction workers

220 6.5 18.46 38,400

(1) For a complete listing of all detailed occupations in the Corpus Christi MSA, see www.bls.gov/oes/current/oes_18580.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) Estimates not released.

 

Last Modified Date: Tuesday, April 14, 2015