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

Last updated: 2025 BLS data · Page refreshed:

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

Maryland is 5.0% pricier than the US average

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

Nominal Salary
$136,370
Median annual (2025)
-4.8%
Real Purchasing Power
$129,876
COL-adjusted (RPP=105.0)

Maryland Cost of Living Index

Maryland's Regional Price Parity (RPP) is 105.0, meaning prices are 5.0% higher the national average. A Data Scientists earning $136,370 in Maryland has the equivalent purchasing power of $129,876 in an average-cost US state.

MD: 105.0
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 Maryland's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $77,930 $74,219 $-3,710
25th Percentile (P25) $100,370 $95,590 $-4,779
Median (P50) $136,370 $129,876 $-6,493
75th Percentile (P75) $169,510 $161,438 $-8,071
90th Percentile (P90) $213,270 $203,114 $-10,155
Key Insight

While $136,370 sounds high, Maryland's elevated cost of living erases 5% of that salary's purchasing power. Your real buying power is $129,876. Consider whether the higher pay offsets the higher costs.

What the Cost-of-Living Data Says

Maryland Is a High-Cost State

RPP 105.0

Maryland's RPP of 105.0 puts it 5.0% above the national baseline cost of living. A Data Scientists needs that premium in nominal pay just to maintain the same purchasing power as an average-cost state.

Meaningful Purchasing-Power Shift

-4.8%

After applying Maryland's RPP, the $136,370 median salary translates to $129,876 in real terms — a 4.8% loss. That difference can cover several months of expenses over a year for a Data Scientists.

Top-Quartile Adjusted Earnings in Maryland

#3 / 49

Ranked on COL-adjusted median pay for Data Scientists, Maryland places #3 of 49 states — top quartile. Either nominal wages run high, cost of living runs low, or both.

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

Maryland ranks #3 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 Maryland after taxes →

Frequently Asked Questions

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

A Data Scientists in Maryland earns a median salary of $136,370 per year. After adjusting for Maryland's cost of living (RPP=105.0), the real purchasing power is $129,876 — a -4.8% difference.

Is Maryland expensive to live in?

Maryland's cost of living is 5.0% higher than the national average according to the BEA Regional Price Parities (2022). The RPP index for Maryland is 105.0 (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 Maryland: $136,370 x (100 / 105.0) = $129,876. This represents what the salary would be worth in a state with average living costs.

Does the high cost of living in Maryland offset the salary?

Partially — a Data Scientists's nominal salary of $136,370 in Maryland has 4.8% less purchasing power due to higher living costs. The real value is $129,876. However, Maryland may offer better career opportunities, networking, and industry access.

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