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

Last updated: 2025 BLS data · Page refreshed:

What does a Data Scientists salary really buy you in New York?

New York is 7.6% pricier than the US average

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

Nominal Salary
$130,460
Median annual (2025)
-7.1%
Real Purchasing Power
$121,245
COL-adjusted (RPP=107.6)

New York Cost of Living Index

New York's Regional Price Parity (RPP) is 107.6, meaning prices are 7.6% higher the national average. A Data Scientists earning $130,460 in New York has the equivalent purchasing power of $121,245 in an average-cost US state.

NY: 107.6
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 New York's cost of living.

Percentile Nominal Salary COL-Adjusted Difference
10th Percentile (P10) $73,330 $68,150 $-5,179
25th Percentile (P25) $94,880 $88,178 $-6,701
Median (P50) $130,460 $121,245 $-9,214
75th Percentile (P75) $171,580 $159,460 $-12,119
90th Percentile (P90) $214,080 $198,959 $-15,120
Key Insight

While $130,460 sounds high, New York's elevated cost of living erases 7% of that salary's purchasing power. Your real buying power is $121,245. Consider whether the higher pay offsets the higher costs.

What the Cost-of-Living Data Says

New York Is a High-Cost State

RPP 107.6

New York's RPP of 107.6 puts it 7.6% 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

-7.1%

After applying New York's RPP, the $130,460 median salary translates to $121,245 in real terms — a 7.1% loss. That difference can cover several months of expenses over a year for a Data Scientists.

Top-Quartile Adjusted Earnings in New York

#11 / 49

Ranked on COL-adjusted median pay for Data Scientists, New York places #11 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

New York ranks #11 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 New York after taxes →

Frequently Asked Questions

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

A Data Scientists in New York earns a median salary of $130,460 per year. After adjusting for New York's cost of living (RPP=107.6), the real purchasing power is $121,245 — a -7.1% difference.

Is New York expensive to live in?

New York's cost of living is 7.6% higher than the national average according to the BEA Regional Price Parities (2022). The RPP index for New York is 107.6 (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 New York: $130,460 x (100 / 107.6) = $121,245. This represents what the salary would be worth in a state with average living costs.

Does the high cost of living in New York offset the salary?

Partially — a Data Scientists's nominal salary of $130,460 in New York has 7.1% less purchasing power due to higher living costs. The real value is $121,245. However, New York may offer better career opportunities, networking, and industry access.

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