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Salary data from BLS Occupational Employment and Wage Statistics

Models Salary: Alaska vs Pennsylvania

Models earn a median of $49,880 in Alaska and $57,530 in Pennsylvania. That is a nominal gap of $7,650 (-13.3%), with Pennsylvania 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.

$49,880
Alaska median
$48,730 after COL
$57,530
Pennsylvania median
$58,962 after COL
-13.3%
Nominal gap
Pennsylvania leads
-17.4%
Adjusted gap
Pennsylvania leads after COL

The story behind the numbers

On raw wages, Pennsylvania pays $7,650 more per year than Alaska for models, a gap of +13.3%.

After adjusting for cost of living, Pennsylvania still comes out ahead, with roughly $10,231 of extra purchasing power (+17.4% real gap). Local prices do not reverse the nominal advantage.

Full breakdown by location

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

Models

Alaska

Median salary
$49,880
Mean salary
$47,420
Employment
N/A
Location quotient
N/A
Jobs per 1,000
N/A
COL-adjusted median
$48,730
Regional Price Parity
102.4%

Exact state RPP match.

Full Models page for Alaska →

Models

Pennsylvania

Median salary
$57,530
Mean salary
$72,220
Employment
120
Location quotient
0.56
Jobs per 1,000
0.0
COL-adjusted median
$58,962
Regional Price Parity
97.6%

Exact state RPP match.

Full Models page for Pennsylvania →

Related pages

Keep digging into models 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.