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

Last updated: 2025 BLS data · Page refreshed:

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

Connecticut is 6.4% pricier than the US average

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

Nominal Salary
$126,340
Median annual (2025)
-6.0%
Real Purchasing Power
$118,740
COL-adjusted (RPP=106.4)

Connecticut Cost of Living Index

Connecticut's Regional Price Parity (RPP) is 106.4, meaning prices are 6.4% higher the national average. A Data Scientists earning $126,340 in Connecticut has the equivalent purchasing power of $118,740 in an average-cost US state.

CT: 106.4
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 Connecticut's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $75,700 $71,146 $-4,553
25th Percentile (P25) $94,480 $88,796 $-5,683
Median (P50) $126,340 $118,740 $-7,599
75th Percentile (P75) $163,210 $153,392 $-9,817
90th Percentile (P90) $204,680 $192,368 $-12,311
Key Insight

While $126,340 sounds high, Connecticut's elevated cost of living erases 6% of that salary's purchasing power. Your real buying power is $118,740. Consider whether the higher pay offsets the higher costs.

What the Cost-of-Living Data Says

Connecticut Is a High-Cost State

RPP 106.4

Connecticut's RPP of 106.4 puts it 6.4% 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

-6.0%

After applying Connecticut's RPP, the $126,340 median salary translates to $118,741 in real terms — a 6.0% loss. That difference can cover several months of expenses over a year for a Data Scientists.

Above-Median Adjusted Pay

#13 / 49

Connecticut sits at #13 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

Connecticut ranks #13 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 Connecticut after taxes →

Frequently Asked Questions

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

A Data Scientists in Connecticut earns a median salary of $126,340 per year. After adjusting for Connecticut's cost of living (RPP=106.4), the real purchasing power is $118,740 — a -6.0% difference.

Is Connecticut expensive to live in?

Connecticut's cost of living is 6.4% higher than the national average according to the BEA Regional Price Parities (2022). The RPP index for Connecticut is 106.4 (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 Connecticut: $126,340 x (100 / 106.4) = $118,740. This represents what the salary would be worth in a state with average living costs.

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

Partially — a Data Scientists's nominal salary of $126,340 in Connecticut has 6.0% less purchasing power due to higher living costs. The real value is $118,740. However, Connecticut may offer better career opportunities, networking, and industry access.

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