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Data Scientists Salary in Pennsylvania: Cost of Living Adjusted (2025)

Last updated: 2025 BLS data · Page refreshed:

What does a Data Scientists salary really buy you in Pennsylvania?

Pennsylvania is 3.8% cheaper than the US average

Data: BLS OEWS 2025 + BEA Regional Price Parities 2022 • Updated 2026-05-19

Nominal Salary
$106,850
Median annual (2025)
+4.0%
Real Purchasing Power
$111,070
COL-adjusted (RPP=96.2)

Pennsylvania Cost of Living Index

Pennsylvania's Regional Price Parity (RPP) is 96.2, meaning prices are 3.8% lower the national average. A Data Scientists earning $106,850 in Pennsylvania has the equivalent purchasing power of $111,070 in an average-cost US state.

PA: 96.2
Cheapest (~85) US Avg (100) Priciest (~115)

Salary Breakdown: Nominal vs. COL-Adjusted

Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for Pennsylvania's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $63,340 $65,841 +$2,501
25th Percentile (P25) $79,220 $82,349 +$3,129
Median (P50) $106,850 $111,070 +$4,220
75th Percentile (P75) $129,160 $134,261 +$5,101
90th Percentile (P90) $162,290 $168,700 +$6,410
Key Insight

A Data Scientists in Pennsylvania earns $106,850 on paper, but low living costs mean your money goes 4% further — like earning $111,070 in an average-cost state. This makes Pennsylvania one of the best value states for this occupation.

What the Cost-of-Living Data Says

Pennsylvania Sits Near the National Cost Benchmark

RPP 96.2

With an RPP of 96.2, Pennsylvania is within a few percent of the national cost-of-living baseline. Salary adjustment for Data Scientists is therefore minor — what you earn is close to what you'd keep in real purchasing power.

Meaningful Purchasing-Power Shift

+4.0%

After applying Pennsylvania's RPP, the $106,850 median salary translates to $111,071 in real terms — a 4.0% gain. That difference can cover several months of expenses over a year for a Data Scientists.

Above-Median Adjusted Pay

#22 / 49

Pennsylvania sits at #22 of 49 states for Data Scientists COL-adjusted salary — comfortably above the national midpoint.

Best States for Data Scientists (After Cost of Living)

Where does Data Scientists salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.

$148,770
RPP 109.8
$131,832
RPP 97.7
$129,876
RPP 105.0
$126,422
RPP 94.2
$126,316
RPP 86.6
$125,857
RPP 112.5
7. Vermont
$125,687
RPP 101.1
8. Texas
$125,220
RPP 97.5
$124,338
RPP 108.8
10. Virginia
$123,829
RPP 102.1

Pennsylvania ranks #22 out of 49 states for Data Scientists after cost-of-living adjustment.

How much do you actually take home? See Data Scientists take-home pay in Pennsylvania after taxes →

Frequently Asked Questions

What is the real salary for a Data Scientists in Pennsylvania after cost of living?

A Data Scientists in Pennsylvania earns a median salary of $106,850 per year. After adjusting for Pennsylvania's cost of living (RPP=96.2), the real purchasing power is $111,070 — a +4.0% difference.

Is Pennsylvania expensive to live in?

Pennsylvania's cost of living is 3.8% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Pennsylvania is 96.2 (US average = 100).

What are Regional Price Parities (RPP)?

Regional Price Parities (RPPs) are price indexes published by the U.S. Bureau of Economic Analysis (BEA) that measure differences in price levels across states. They are expressed as a percentage of the national average (US = 100). Higher RPP means higher cost of living.

How is the cost-of-living adjusted salary calculated?

The adjusted salary is calculated as: Nominal Salary x (100 / RPP). For a Data Scientists in Pennsylvania: $106,850 x (100 / 96.2) = $111,070. This represents what the salary would be worth in a state with average living costs.

Is it better to be a Data Scientists in Pennsylvania financially?

From a purchasing power perspective, yes. A Data Scientists in Pennsylvania enjoys 4.0% more buying power than the nominal salary suggests, because living costs are below the national average. However, other factors like job availability, career growth, and quality of life also matter.

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