Data Scientist Salary: Charlotte vs San Francisco
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 Charlotte
United States
$150K USD
$150K USD
$150K PPP
VS
USD Difference
-30%
Charlotte vs San Francisco
🇺🇸 San Francisco
United States
$213K USD
$213K USD
$213K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Charlotte | San Francisco | Difference |
|---|---|---|---|
| Local Currency Salary | $150K USD | $213K USD | — |
| USD Equivalent | $150K | $213K | -30% |
| PPP-Adjusted SalaryWINNER | $150K | $213K 🏆 | -30% |
| 25th Percentile | $120K USD | $170K USD | — |
| Median | $150K USD | $213K USD | — |
| 75th Percentile | $187K USD | $266K USD | — |
| Annual Mean | $161K USD | $230K USD | — |
What Does This Mean?
Charlotte offers a Data Scientist salary of $150K USD, while San Francisco offers $213K USD — a difference of -30% in raw terms.
After adjusting for purchasing power parity (PPP), Charlotte's salary is worth $150K in US purchasing power terms, versus $213K for San Francisco. This means San Francisco offers better real purchasing power for this role.
PPP adjustment accounts for differences in local prices — for example, housing costs 3x more in San Francisco than in Warsaw, so a San Francisco salary needs to be much higher to provide an equivalent standard of living.