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Salary data from BLS Occupational Employment and Wage Statistics

Social Science Research Assistants Salary: Oregon vs Ohio

Social Science Research Assistants earn a median of $57,800 in Oregon and $70,670 in Ohio. That is a nominal gap of $12,870 (-18.2%), with Ohio paying more before any cost-of-living adjustment.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics survey, May 2024 estimates. Cost-of-living adjustment uses BEA Regional Price Parities, most recent release.

$57,800
Oregon median
$55,921 after COL
$70,670
Ohio median
$76,174 after COL
-18.2%
Nominal gap
Ohio leads
-26.6%
Adjusted gap
Ohio leads after COL

The story behind the numbers

On raw wages, Ohio pays $12,870 more per year than Oregon for social science research assistants, a gap of +18.2%.

After adjusting for cost of living, Ohio still comes out ahead, with roughly $20,254 of extra purchasing power (+26.6% real gap). Local prices do not reverse the nominal advantage.

Full breakdown by location

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

Social Science Research Assistants

Oregon

Median salary
$57,800
Mean salary
$62,000
Employment
170
Location quotient
0.41
Jobs per 1,000
0.1
COL-adjusted median
$55,921
Regional Price Parity
103.4%

Exact state RPP match.

Full Social Science Research Assistants page for Oregon →

Social Science Research Assistants

Ohio

Median salary
$70,670
Mean salary
$68,200
Employment
150
Location quotient
0.12
Jobs per 1,000
0.0
COL-adjusted median
$76,174
Regional Price Parity
92.8%

Exact state RPP match.

Full Social Science Research Assistants page for Ohio →

Related pages

Keep digging into social science research assistants 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.