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Salary data from BLS Occupational Employment and Wage Statistics

Life Scientists, All Other Salary: Pennsylvania vs North Carolina

Life Scientists, All Other earn a median of $72,800 in Pennsylvania and $123,500 in North Carolina. That is a nominal gap of $50,700 (-41.1%), with North Carolina 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.

$72,800
Pennsylvania median
$74,612 after COL
$123,500
North Carolina median
$130,929 after COL
-41.1%
Nominal gap
North Carolina leads
-43.0%
Adjusted gap
North Carolina leads after COL

The story behind the numbers

On raw wages, North Carolina pays $50,700 more per year than Pennsylvania for life scientists, all other, a gap of +41.1%.

After adjusting for cost of living, North Carolina still comes out ahead, with roughly $56,317 of extra purchasing power (+43.0% real gap). Local prices do not reverse the nominal advantage.

Full breakdown by location

Detailed wage, employment, and cost-of-living figures for life scientists, all other in each location. Click through to the full local salary page for percentiles, outlook, and peer areas.

Life Scientists, All Other

Pennsylvania

Median salary
$72,800
Mean salary
$76,240
Employment
330
Location quotient
1.14
Jobs per 1,000
0.1
COL-adjusted median
$74,612
Regional Price Parity
97.6%

Exact state RPP match.

Full Life Scientists, All Other page for Pennsylvania →

Life Scientists, All Other

North Carolina

Median salary
$123,500
Mean salary
$120,680
Employment
1,060
Location quotient
4.57
Jobs per 1,000
0.2
COL-adjusted median
$130,929
Regional Price Parity
94.3%

Exact state RPP match.

Full Life Scientists, All Other page for North Carolina →

Related pages

Keep digging into life scientists, all other 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.