Occupational Employment and Wage Statistics
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Occupational Employment and Wages, May 2023
43-9021 Data Entry Keyers
Operate data entry device, such as keyboard or photo composing perforator. Duties may include verifying data and preparing materials for printing. Excludes “Word Processors and Typists” (43-9022).
National estimates for Data Entry Keyers
Industry profile for Data Entry Keyers
Geographic profile for Data Entry Keyers
National estimates for Data Entry Keyers:
Employment estimate and mean wage estimates for Data Entry Keyers:
| Employment (1) |
Employment
RSE (3) |
Mean hourly
wage |
Mean annual
wage (2) |
Wage RSE (3) |
| 154,230 |
2.4 % |
$ 19.29 |
$ 40,130 |
0.4 % |
Percentile wage estimates for Data Entry Keyers:
| Percentile |
10% |
25% |
50%
(Median) |
75% |
90% |
| Hourly Wage |
$ 13.58 |
$ 15.70 |
$ 18.17 |
$ 22.13 |
$ 26.60 |
| Annual Wage (2) |
$ 28,250 |
$ 32,660 |
$ 37,790 |
$ 46,020 |
$ 55,330 |
Industry profile for Data Entry Keyers:
Industries with the highest published employment and wages for Data Entry Keyers are provided.
For a list of all industries with employment in Data Entry Keyers, see the Create Customized Tables function.
Industries with the highest levels of employment in Data Entry Keyers:
| Industry |
Employment (1) |
Percent of industry employment |
Hourly mean wage |
Annual mean wage (2) |
| Employment Services |
18,240 |
0.49 |
$ 18.37 |
$ 38,220 |
| Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services |
8,170 |
1.69 |
$ 17.64 |
$ 36,680 |
| Accounting, Tax Preparation, Bookkeeping, and Payroll Services |
7,790 |
0.71 |
$ 18.64 |
$ 38,760 |
| Management, Scientific, and Technical Consulting Services |
6,900 |
0.37 |
$ 17.80 |
$ 37,030 |
| Elementary and Secondary Schools |
6,460 |
0.08 |
$ 18.76 |
$ 39,010 |
Industries with the highest concentration of employment in Data Entry Keyers:
| Industry |
Employment (1) |
Percent of industry employment |
Hourly mean wage |
Annual mean wage (2) |
| Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services |
8,170 |
1.69 |
$ 17.64 |
$ 36,680 |
| Other Support Activities for Transportation |
330 |
0.90 |
$ 18.72 |
$ 38,940 |
| Accounting, Tax Preparation, Bookkeeping, and Payroll Services |
7,790 |
0.71 |
$ 18.64 |
$ 38,760 |
| Medical and Diagnostic Laboratories |
1,980 |
0.62 |
$ 19.15 |
$ 39,820 |
| Business Support Services |
4,560 |
0.61 |
$ 16.76 |
$ 34,870 |
Top paying industries for Data Entry Keyers:
Geographic profile for Data Entry Keyers:
States and areas with the highest published employment, location quotients, and wages for Data Entry Keyers are provided.
For a list of all areas with employment in Data Entry Keyers, see the Create Customized Tables function.
States with the highest employment level in Data Entry Keyers:
| State |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| Texas |
23,780 |
1.75 |
1.73 |
$ 17.36 |
$ 36,100 |
| California |
16,520 |
0.92 |
0.91 |
$ 23.19 |
$ 48,240 |
| Florida |
12,950 |
1.35 |
1.33 |
$ 18.13 |
$ 37,700 |
| New York |
8,970 |
0.95 |
0.94 |
$ 22.66 |
$ 47,130 |
| Illinois |
7,780 |
1.29 |
1.27 |
$ 19.31 |
$ 40,170 |
States with the highest concentration of jobs and location quotients in Data Entry Keyers:
| State |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| Texas |
23,780 |
1.75 |
1.73 |
$ 17.36 |
$ 36,100 |
| New Hampshire |
1,070 |
1.58 |
1.56 |
$ 18.83 |
$ 39,170 |
| Florida |
12,950 |
1.35 |
1.33 |
$ 18.13 |
$ 37,700 |
| Utah |
2,180 |
1.30 |
1.28 |
$ 21.33 |
$ 44,370 |
| Illinois |
7,780 |
1.29 |
1.27 |
$ 19.31 |
$ 40,170 |
Top paying states for Data Entry Keyers:
| State |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| Alaska |
160 |
0.53 |
0.52 |
$ 24.50 |
$ 50,960 |
| District of Columbia |
860 |
1.23 |
1.21 |
$ 24.37 |
$ 50,700 |
| Massachusetts |
2,190 |
0.60 |
0.59 |
$ 23.25 |
$ 48,350 |
| California |
16,520 |
0.92 |
0.91 |
$ 23.19 |
$ 48,240 |
| New York |
8,970 |
0.95 |
0.94 |
$ 22.66 |
$ 47,130 |
Metropolitan areas with the highest employment level in Data Entry Keyers:
| Metropolitan area |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| New York-Newark-Jersey City, NY-NJ-PA |
9,560 |
1.01 |
0.99 |
$ 23.07 |
$ 47,990 |
| Dallas-Fort Worth-Arlington, TX |
7,180 |
1.81 |
1.78 |
$ 18.22 |
$ 37,900 |
| Houston-The Woodlands-Sugar Land, TX |
6,510 |
2.05 |
2.02 |
$ 17.67 |
$ 36,760 |
| Chicago-Naperville-Elgin, IL-IN-WI |
6,050 |
1.34 |
1.32 |
$ 19.40 |
$ 40,350 |
| Los Angeles-Long Beach-Anaheim, CA |
5,360 |
0.87 |
0.85 |
$ 21.69 |
$ 45,110 |
| Sacramento--Roseville--Arden-Arcade, CA |
4,450 |
4.24 |
4.18 |
$ 26.94 |
$ 56,030 |
| Miami-Fort Lauderdale-West Palm Beach, FL |
4,380 |
1.61 |
1.59 |
$ 18.89 |
$ 39,300 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD |
3,050 |
1.08 |
1.06 |
$ 19.65 |
$ 40,870 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV |
2,730 |
0.88 |
0.87 |
$ 21.11 |
$ 43,910 |
| Atlanta-Sandy Springs-Roswell, GA |
2,540 |
0.90 |
0.89 |
$ 18.61 |
$ 38,720 |
Metropolitan areas with the highest concentration of jobs and location quotients in Data Entry Keyers:
| Metropolitan area |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| Sacramento--Roseville--Arden-Arcade, CA |
4,450 |
4.24 |
4.18 |
$ 26.94 |
$ 56,030 |
| Bloomington, IN |
250 |
3.42 |
3.37 |
$ 20.78 |
$ 43,220 |
| Laredo, TX |
360 |
3.42 |
3.37 |
$ 15.22 |
$ 31,650 |
| Portsmouth, NH-ME |
220 |
2.40 |
2.36 |
$ 19.35 |
$ 40,250 |
| Topeka, KS |
260 |
2.32 |
2.29 |
$ 15.74 |
$ 32,730 |
| Corpus Christi, TX |
400 |
2.15 |
2.12 |
$ 15.42 |
$ 32,070 |
| Charleston, WV |
220 |
2.13 |
2.10 |
$ 16.95 |
$ 35,260 |
| Springfield, IL |
220 |
2.09 |
2.06 |
$ 19.14 |
$ 39,810 |
| Houston-The Woodlands-Sugar Land, TX |
6,510 |
2.05 |
2.02 |
$ 17.67 |
$ 36,760 |
| Brownsville-Harlingen, TX |
310 |
1.99 |
1.96 |
$ 14.28 |
$ 29,700 |
Top paying metropolitan areas for Data Entry Keyers:
| Metropolitan area |
Employment (1) |
Employment per thousand jobs |
Location quotient (9) |
Hourly mean wage |
Annual mean wage (2) |
| Sacramento--Roseville--Arden-Arcade, CA |
4,450 |
4.24 |
4.18 |
$ 26.94 |
$ 56,030 |
| Anchorage, AK |
110 |
0.62 |
0.61 |
$ 24.67 |
$ 51,310 |
| San Francisco-Oakland-Hayward, CA |
1,720 |
0.71 |
0.70 |
$ 24.32 |
$ 50,590 |
| San Jose-Sunnyvale-Santa Clara, CA |
520 |
0.46 |
0.45 |
$ 24.23 |
$ 50,400 |
| Boston-Cambridge-Nashua, MA-NH |
1,610 |
0.58 |
0.58 |
$ 23.56 |
$ 49,000 |
| Salt Lake City, UT |
1,530 |
1.90 |
1.87 |
$ 23.40 |
$ 48,670 |
| New York-Newark-Jersey City, NY-NJ-PA |
9,560 |
1.01 |
0.99 |
$ 23.07 |
$ 47,990 |
| Santa Rosa, CA |
170 |
0.82 |
0.80 |
$ 23.01 |
$ 47,870 |
| New Haven, CT |
300 |
1.03 |
1.01 |
$ 22.82 |
$ 47,460 |
| Denver-Aurora-Lakewood, CO |
930 |
0.59 |
0.58 |
$ 22.74 |
$ 47,300 |
Nonmetropolitan areas with the highest employment in Data Entry Keyers:
Nonmetropolitan areas with the highest concentration of jobs and location quotients in Data Entry Keyers:
Top paying nonmetropolitan areas for Data Entry Keyers:
About May 2023 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.
(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 OEWS estimates and related information:
May 2023 National Occupational Employment and Wage Estimates
May 2023 State Occupational Employment and Wage Estimates
May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates
May 2023 National Industry-Specific Occupational Employment and Wage Estimates
May 2023 Occupation Profiles
Technical Notes
Last Modified Date: April 3, 2024
United States Department of Labor
