What is the most reliable and most expensive method of surveying wage data?

Make exact measurements and determine property boundaries. Provide data relevant to the shape, contour, gravitation, location, elevation, or dimension of land or land features on or near the earth�s surface for engineering, mapmaking, mining, land evaluation, construction, and other purposes.


National estimates for Surveyors
Industry profile for Surveyors
Geographic profile for Surveyors

National estimates for Surveyors:

Employment estimate and mean wage estimates for Surveyors:

Employment Employment
RSE Mean hourly
wageMean annual
wage Wage RSE 46,3902.8 %$ 33.12$ 68,8801.3 %

Percentile wage estimates for Surveyors:

Percentile10%25%50%
(Median)75%90%Hourly Wage$ 17.96$ 22.93$ 29.62$ 38.27$ 48.68Annual Wage $ 37,360$ 47,690$ 61,600$ 79,600$ 101,240

Industry profile for Surveyors:

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

Industries with the highest levels of employment in Surveyors:

Industries with the highest concentration of employment in Surveyors:

Top paying industries for Surveyors:



Geographic profile for Surveyors:

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

What is the most reliable and most expensive method of surveying wage data?

States with the highest employment level in Surveyors:

StateEmployment Employment per thousand jobsLocation quotient Hourly mean wageAnnual mean wage Texas5,4800.451.36$ 31.60$ 65,730California3,9900.240.73$ 47.44$ 98,670Florida3,4200.401.21$ 29.29$ 60,910Colorado1,7500.672.02$ 32.78$ 68,190Georgia1,6800.381.17$ 27.27$ 56,720

What is the most reliable and most expensive method of surveying wage data?

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

StateEmployment Employment per thousand jobsLocation quotient Hourly mean wageAnnual mean wage West Virginia6100.932.82$ 30.89$ 64,260Alaska2500.832.53$ 44.18$ 91,900Montana3300.702.13$ 29.79$ 61,960Wyoming1800.682.07$ 31.09$ 64,660Colorado1,7500.672.02$ 32.78$ 68,190

What is the most reliable and most expensive method of surveying wage data?

Top paying states for Surveyors:

StateEmployment Employment per thousand jobsLocation quotient Hourly mean wageAnnual mean wage California3,9900.240.73$ 47.44$ 98,670Alaska2500.832.53$ 44.18$ 91,900Washington6800.210.64$ 42.06$ 87,490New York1,4000.160.49$ 40.07$ 83,350New Jersey8400.220.66$ 39.17$ 81,470

What is the most reliable and most expensive method of surveying wage data?

Metropolitan areas with the highest employment level in Surveyors:

What is the most reliable and most expensive method of surveying wage data?

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

What is the most reliable and most expensive method of surveying wage data?

Top paying metropolitan areas for Surveyors:

Nonmetropolitan areas with the highest employment in Surveyors:

Nonmetropolitan areas with the highest concentration of jobs and location quotients in Surveyors:

Top paying nonmetropolitan areas for Surveyors:



About May 2021 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.