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

Last updated: 2025 BLS data · Page refreshed:

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

Michigan is 6.6% cheaper than the US average

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

Nominal Salary
$100,590
Median annual (2025)
+7.1%
Real Purchasing Power
$107,698
COL-adjusted (RPP=93.4)

Michigan Cost of Living Index

Michigan's Regional Price Parity (RPP) is 93.4, meaning prices are 6.6% lower the national average. A Data Scientists earning $100,590 in Michigan has the equivalent purchasing power of $107,698 in an average-cost US state.

MI: 93.4
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 Michigan's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $60,830 $65,128 +$4,298
25th Percentile (P25) $77,410 $82,880 +$5,470
Median (P50) $100,590 $107,698 +$7,108
75th Percentile (P75) $130,240 $139,443 +$9,203
90th Percentile (P90) $162,670 $174,164 +$11,494
Key Insight

A Data Scientists in Michigan earns $100,590 on paper, but low living costs mean your money goes 7% further — like earning $107,698 in an average-cost state. This makes Michigan one of the best value states for this occupation.

What the Cost-of-Living Data Says

Michigan Sits Near the National Cost Benchmark

RPP 93.4

With an RPP of 93.4, Michigan 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

+7.1%

After applying Michigan's RPP, the $100,590 median salary translates to $107,698 in real terms — a 7.1% gain. That difference can cover several months of expenses over a year for a Data Scientists.

Below-Median Adjusted Pay

#30 / 49

Michigan's rank of #30 of 49 states means real purchasing power for Data Scientists trails the national half-way line.

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

Michigan ranks #30 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 Michigan after taxes →

Frequently Asked Questions

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

A Data Scientists in Michigan earns a median salary of $100,590 per year. After adjusting for Michigan's cost of living (RPP=93.4), the real purchasing power is $107,698 — a +7.1% difference.

Is Michigan expensive to live in?

Michigan's cost of living is 6.6% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Michigan is 93.4 (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 Michigan: $100,590 x (100 / 93.4) = $107,698. This represents what the salary would be worth in a state with average living costs.

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

From a purchasing power perspective, yes. A Data Scientists in Michigan enjoys 7.1% 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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