What does a Data Scientist salary really buy you in Ohio?
Ohio is 8.5% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-03-31
Ohio's Regional Price Parity (RPP) is 91.5, meaning prices are 8.5% lower the national average. A Data Scientist earning $98,620 in Ohio has the equivalent purchasing power of $107,781 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for Ohio's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $53,510 | $58,480 | +$4,970 |
| 25th Percentile (P25) | $71,660 | $78,316 | +$6,656 |
| Median (P50) | $98,620 | $107,781 | +$9,161 |
| 75th Percentile (P75) | $126,470 | $138,218 | +$11,748 |
| 90th Percentile (P90) | $152,070 | $166,196 | +$14,126 |
A Data Scientist in Ohio earns $98,620 on paper, but low living costs mean your money goes 9% further — like earning $107,781 in an average-cost state. This makes Ohio one of the best value states for this occupation.
Where does Data Scientist salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.
Ohio ranks #25 out of 49 states for Data Scientist after cost-of-living adjustment.
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A Data Scientist in Ohio earns a median salary of $98,620 per year. After adjusting for Ohio's cost of living (RPP=91.5), the real purchasing power is $107,781 — a +9.3% difference.
Ohio's cost of living is 8.5% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Ohio is 91.5 (US average = 100).
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.
The adjusted salary is calculated as: Nominal Salary x (100 / RPP). For a Data Scientist in Ohio: $98,620 x (100 / 91.5) = $107,781. This represents what the salary would be worth in a state with average living costs.
From a purchasing power perspective, yes. A Data Scientist in Ohio enjoys 9.3% 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.