Average pay in the United States varies dramatically by industry because sectors employ very different mixes of occupations. Information businesses, finance, professional and technical services, utilities and some specialised manufacturing sectors tend to report high average weekly or annual earnings. Retail, hospitality and leisure employ much larger numbers of part-time and lower-wage workers, which pulls industry averages down.
There is no single perfect salary measure. The Bureau of Labor Statistics publishes average hourly and weekly earnings by industry through the Current Employment Statistics programme, while Occupational Employment and Wage Statistics provides detailed pay by occupation and geography. This guide uses those datasets as the basis for comparing sectors rather than relying on self-reported salary websites.
Information and technology-heavy sectors pay above average
The information sector includes software, publishing, data services, telecommunications and parts of media. Its wage levels are lifted by large numbers of software engineers, technical managers, data specialists and highly paid commercial roles. Technology companies also compete nationally for scarce technical skills, which pushes compensation above local labour-market averages.
Stock compensation can make total pay much higher than salary alone at public technology companies. BLS wage data generally do not capture equity in the same way an employee thinks about total compensation, so published average earnings can understate the economic value of some technology packages.
Finance and professional services also rank highly
Financial activities include banking, investment management, insurance and real estate. Professional and business services include consulting, law, accounting, engineering and other specialist work. Both sectors contain large concentrations of degree-level and management occupations, which raises average wages.
The averages hide enormous variation. An entry-level bank employee and an investment banker sit inside the same broad financial sector but have very different compensation. Industry figures are therefore useful for understanding the economic structure of sectors, not for predicting an individual's salary.
Healthcare shows why occupation matters
Healthcare employs some of the highest-paid professionals in the country, including physicians and specialist clinicians, while also employing millions of lower-paid support workers. That mix means the industry's average wage can look less exceptional than the salaries of its highest-paid occupations.
For workers comparing careers, occupation-level BLS data are often more useful than broad industry averages. A software engineer working for a bank may earn more like a technology worker than the average financial-services employee, while a finance manager at a manufacturer may be paid according to finance-market benchmarks.
Retail and hospitality averages are lowered by part-time work
Retail trade, accommodation and food services employ large numbers of hourly and part-time workers. Average weekly earnings are therefore affected not only by hourly pay but also by the number of hours worked. Comparing weekly earnings across industries without considering hours can exaggerate the gap in hourly compensation.
Tips, commissions and irregular schedules add further complexity. Official wage data remain the strongest broad benchmark, but they should be interpreted alongside job type and hours.
Geography can matter as much as industry
The same occupation can pay very different salaries in San Francisco, New York, Austin, Atlanta or rural markets. Employers respond to local labour costs, competition and living expenses, while remote work has introduced national pay bands in some technology and professional-services companies.
For businesses, industry wage data are most useful as a starting point for workforce planning. Hiring budgets should then be adjusted for occupation, metro area, seniority and benefits. For employees, the practical comparison is total compensation for a specific job in a specific location, not the national average for an entire industry.
| Industry | General pay position |
|---|---|
| Information | High |
| Financial activities | High |
| Professional and technical services | High |
| Utilities | High |
| Management of companies | High |
| Mining and extraction | Above average |
| Manufacturing | Around to above average |
| Construction | Around to above average |
| Healthcare and social assistance | Mixed |
| Transportation and warehousing | Mixed |
| Wholesale trade | Around average |
| Retail trade | Below average |
| Arts and recreation | Below average |
| Accommodation and food services | Below average |