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Computer Science Teachers, Postsecondary Salary: Virginia vs Oregon

Computer Science Teachers, Postsecondary earn a median of $106,780 in Virginia and $107,310 in Oregon. That is a nominal gap of $530 (-0.5%), with Oregon paying more before any cost-of-living adjustment.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics survey, May 2025 estimates. Cost-of-living adjustment uses BEA Regional Price Parities, most recent release.

$106,780
Virginia median
$105,614 after COL
$107,310
Oregon median
$103,821 after COL
-0.5%
Nominal gap
Oregon leads
+1.7%
Adjusted gap
Virginia leads after COL

The story behind the numbers

On raw wages, Oregon pays $530 more per year than Virginia for computer science teachers, postsecondary, a gap of +0.5%.

After adjusting for cost of living, the picture flips. Virginia actually offers more purchasing power, effectively paying $1,793 more in national-price-level terms (a +1.7% real gap). The higher nominal wage in the other location is eaten up by higher local prices.

Full breakdown by location

Detailed wage, employment, and cost-of-living figures for computer science teachers, postsecondary in each location. Click through to the full local salary page for percentiles, outlook, and peer areas.

Computer Science Teachers, Postsecondary

Virginia

Median salary
$106,780
Mean salary
$120,790
Employment
1,670
Location quotient
1.78
Jobs per 1,000
0.4
COL-adjusted median
$105,614
Regional Price Parity
101.1%

Exact state RPP match.

Full Computer Science Teachers, Postsecondary page for Virginia →

Computer Science Teachers, Postsecondary

Oregon

Median salary
$107,310
Mean salary
$118,010
Employment
530
Location quotient
1.17
Jobs per 1,000
0.3
COL-adjusted median
$103,821
Regional Price Parity
103.4%

Exact state RPP match.

Full Computer Science Teachers, Postsecondary page for Oregon →

Related pages

Keep digging into computer science teachers, postsecondary from a different angle.

Common questions about this comparison

What does the cost-of-living adjustment actually do? +

It divides each location's nominal median wage by its Regional Price Parity (RPP), which measures how local prices compare to the national average (100 = national). A wage of $100,000 in an area with RPP 120 has the same purchasing power as roughly $83,000 nationally.

Why would the nominal and adjusted winners disagree? +

High-cost metros often pay higher salaries, but not by enough to fully offset the higher cost of housing, goods, and services. When that happens, the location with the lower nominal wage actually offers more real purchasing power.

What is a location quotient? +

The location quotient measures how concentrated an occupation is in a given area versus the national average. A value of 2.0 means the occupation is twice as common there as nationally. It is a signal of what a state specializes in.