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

Last updated: 2025 BLS data · Page refreshed:

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

Minnesota is 2.3% cheaper than the US average

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

Nominal Salary
$128,800
Median annual (2025)
+2.4%
Real Purchasing Power
$131,832
COL-adjusted (RPP=97.7)

Minnesota Cost of Living Index

Minnesota's Regional Price Parity (RPP) is 97.7, meaning prices are 2.3% lower the national average. A Data Scientists earning $128,800 in Minnesota has the equivalent purchasing power of $131,832 in an average-cost US state.

MN: 97.7
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 Minnesota's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $65,730 $67,277 +$1,547
25th Percentile (P25) $92,490 $94,667 +$2,177
Median (P50) $128,800 $131,832 +$3,032
75th Percentile (P75) $160,910 $164,698 +$3,788
90th Percentile (P90) $179,640 $183,868 +$4,228
Key Insight

Minnesota's cost of living is close to the national average, so $128,800 keeps most of its value at $131,832 in real terms. Location choice here is more about career opportunities than cost arbitrage.

What the Cost-of-Living Data Says

Minnesota Sits Near the National Cost Benchmark

RPP 97.7

With an RPP of 97.7, Minnesota 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.

Minor COL Adjustment for This Salary

+2.4%

After adjusting for Minnesota's cost of living, $128,800 nominal nets out to $131,832 in real purchasing power — a small 2.4% gain. The state's cost profile is close enough to average that COL alone shouldn't drive location decisions for this Data Scientists.

Top-Quartile Adjusted Earnings in Minnesota

#2 / 49

Ranked on COL-adjusted median pay for Data Scientists, Minnesota places #2 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

Minnesota ranks #2 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 Minnesota after taxes →

Frequently Asked Questions

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

A Data Scientists in Minnesota earns a median salary of $128,800 per year. After adjusting for Minnesota's cost of living (RPP=97.7), the real purchasing power is $131,832 — a +2.4% difference.

Is Minnesota expensive to live in?

Minnesota's cost of living is 2.3% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Minnesota is 97.7 (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 Minnesota: $128,800 x (100 / 97.7) = $131,832. This represents what the salary would be worth in a state with average living costs.

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

From a purchasing power perspective, yes. A Data Scientists in Minnesota enjoys 2.4% 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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