Occupational Employment and Wages, May 2016

27-3021 Broadcast News Analysts

Analyze, interpret, and broadcast news received from various sources.


National estimates for this occupation
Industry profile for this occupation
Geographic profile for this occupation

National estimates for this occupation: Top

Employment estimate and mean wage estimates for this occupation:

Employment (1) Employment
RSE (3)
Mean hourly
wage
Mean annual
wage (2)
Wage RSE (3)
5,070 8.0 % $37.60 $78,200 2.7 %

Percentile wage estimates for this occupation:

Percentile 10% 25% 50%
(Median)
75% 90%
Hourly Wage $12.35 $16.44 $27.25 $44.87 $78.60
Annual Wage (2) $25,690 $34,190 $56,680 $93,320 $163,490


Industry profile for this occupation: Top

Industries with the highest published employment and wages for this occupation are provided. For a list of all industries with employment in this occupation, see the Create Customized Tables function.

Industries with the highest levels of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Radio and Television Broadcasting 4,500 2.05 $38.08 $79,200
Cable and Other Subscription Programming 170 0.30 (8) (8)
Colleges, Universities, and Professional Schools 120 0.00 $28.85 $60,000
Other Information Services 70 0.03 (8) (8)
Wired Telecommunications Carriers 50 0.01 (8) (8)

Industries with the highest concentration of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Radio and Television Broadcasting 4,500 2.05 $38.08 $79,200
Cable and Other Subscription Programming 170 0.30 (8) (8)
Other Information Services 70 0.03 (8) (8)
Wired Telecommunications Carriers 50 0.01 (8) (8)
Newspaper, Periodical, Book, and Directory Publishers 30 0.01 $40.45 $84,140

Top paying industries for this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Other Professional, Scientific, and Technical Services 30 (7) $45.93 $95,540
Newspaper, Periodical, Book, and Directory Publishers 30 0.01 $40.45 $84,140
Radio and Television Broadcasting 4,500 2.05 $38.08 $79,200
Colleges, Universities, and Professional Schools 120 (7) $28.85 $60,000


Geographic profile for this occupation: Top

States and areas with the highest published employment, location quotients, and wages for this occupation are provided. For a list of all areas with employment in this occupation, see the Create Customized Tables function.





States with the highest employment level in this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 930 0.10 2.83 (8) (8)
California 490 0.03 0.84 $35.55 $73,940
Florida 430 0.05 1.44 (8) (8)
Illinois 240 0.04 1.12 $32.89 $68,410
Alabama 240 0.12 3.44 $37.50 $77,990




States with the highest concentration of jobs and location quotients in this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
District of Columbia 100 0.14 3.78 (8) (8)
Alabama 240 0.12 3.44 $37.50 $77,990
New York 930 0.10 2.83 (8) (8)
Oklahoma 110 0.07 1.89 (8) (8)
New Jersey 230 0.06 1.60 (8) (8)




Top paying States for this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Utah 60 0.05 1.27 $42.20 $87,780
Nevada 40 0.03 0.82 $41.39 $86,080
Indiana 110 0.04 1.00 $38.85 $80,800
Arizona 140 0.05 1.43 $37.78 $78,580
Georgia (8) (8) (8) $37.62 $78,240





Metropolitan areas with the highest employment level in this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Jersey City-White Plains, NY-NJ Metropolitan Division 1,040 0.16 4.38 $35.44 $73,710
Chicago-Naperville-Arlington Heights, IL Metropolitan Division 170 0.05 1.29 (8) (8)
Miami-Miami Beach-Kendall, FL Metropolitan Division 130 0.11 3.16 (8) (8)
Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division 120 0.05 1.35 $49.71 $103,390
Phoenix-Mesa-Scottsdale, AZ 110 0.06 1.56 (8) (8)
Boston-Cambridge-Newton, MA NECTA Division 100 0.06 1.54 (8) (8)
Tulsa, OK 80 0.18 5.10 (8) (8)
Salt Lake City, UT 60 0.09 2.58 $42.20 $87,780
Columbus, OH 60 0.06 1.65 (8) (8)
Birmingham-Hoover, AL 60 0.12 3.35 $44.25 $92,040




Metropolitan areas with the highest concentration of jobs and location quotients in this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Montgomery, AL 40 0.22 6.23 (8) (8)
Tulsa, OK 80 0.18 5.10 (8) (8)
New York-Jersey City-White Plains, NY-NJ Metropolitan Division 1,040 0.16 4.38 $35.44 $73,710
Charleston-North Charleston, SC 40 0.13 3.63 $33.71 $70,120
Birmingham-Hoover, AL 60 0.12 3.35 $44.25 $92,040
Miami-Miami Beach-Kendall, FL Metropolitan Division 130 0.11 3.16 (8) (8)
Salt Lake City, UT 60 0.09 2.58 $42.20 $87,780
Boston-Cambridge-Newton, MA NECTA Division 100 0.06 1.54 (8) (8)
Phoenix-Mesa-Scottsdale, AZ 110 0.06 1.56 (8) (8)
Columbus, OH 60 0.06 1.65 (8) (8)




Top paying metropolitan areas for this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division 120 0.05 1.35 $49.71 $103,390
Birmingham-Hoover, AL 60 0.12 3.35 $44.25 $92,040
Salt Lake City, UT 60 0.09 2.58 $42.20 $87,780
Los Angeles-Long Beach-Glendale, CA Metropolitan Division (8) (8) (8) $37.14 $77,260
Orlando-Kissimmee-Sanford, FL (8) (8) (8) $36.04 $74,970
New York-Jersey City-White Plains, NY-NJ Metropolitan Division 1,040 0.16 4.38 $35.44 $73,710
Atlanta-Sandy Springs-Roswell, GA (8) (8) (8) $34.26 $71,270
Charleston-North Charleston, SC 40 0.13 3.63 $33.71 $70,120
Jackson, MS (8) (8) (8) $32.99 $68,620
Baltimore-Columbia-Towson, MD (8) (8) (8) $31.30 $65,100


About May 2016 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia. The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

The percentile wage estimate is the value of a wage below which a certain percent of workers fall. The median wage is the 50th percentile wage estimate--50 percent of workers earn less than the median and 50 percent of workers earn more than the median. More about percentile wages.


(1) 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.

(2) 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 wage published, the annual wage has been directly calculated from the reported survey data.

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

(7) The value is less than .005 percent of industry employment.

(8) Estimate not released.

(9) 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.


Other OES estimates and related information:

May 2016 National Occupational Employment and Wage Estimates

May 2016 State Occupational Employment and Wage Estimates

May 2016 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

May 2016 National Industry-Specific Occupational Employment and Wage Estimates

May 2016 Occupation Profiles

Technical Notes

 

Last Modified Date: March 31, 2017