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DC tech pay ranks among the highest, but at the bottom by one measure

When compared to states, D.C. ranks No. 3 in the nation for average technology profession pay, at $113,930 a year, according to research site Business.org.

Virginia ranks No. 4 and Maryland ranks No. 6, at $107,130 and $105,150, respectively.

Business.org does not just rank states by raw average wages, but also by how those tech industry wages compare to all occupations in each state.

Based on that, D.C. tech jobs pay just 20% more than the average salary for all jobs — which is $95,000 — ranking the District last among states.

Alabama tops that list for best salaries compared to all occupations. The average tech profession salary is among the lowest in the nation there at $86,700, but that is 85% higher than the average wage for all occupations in Alabama.

Among metro areas, San Jose, California, ranks first for best pay difference in tech, with tech jobs paying an average of 507% more than the average salary for all occupations.

Business.org also ranks the top tech occupations for average salary. Actuaries rank No. 1, followed by computer network architects, software developers and quality assurance analysts, mathematicians and information security analysts.

Business.org based its findings for tech salaries on data from the Bureau of Labor Statistics.

See a state-by-state comparison of tech worker compensation.

Oil prices slip and Asian shares are mostly lower as investors sell chipmaker stocks

HONG KONG (AP) — Oil prices fell Wednesday and Asian shares were mostly trading lower as South Korea’s Kospi extended its losses after falling more than 16% over the past two days. Crude prices remain volatile after the U.S. said early Thursday it had conducted a “heavy wave” of strikes against Iran, responding to an attack on a U.S. base. U.S. futures edged higher after losses on Wall Street. In South Korea, recent drops in its benchmark Kospi, a big beneficiary of the global boom in artificial intelligence, have been seen by some analysts as a reflection of broader doubts about massive investments by technology giants in expanding capacity for AI.
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