Data Scientist Salary: New York vs Seoul
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 New York
United States
$184K USD
$184K USD
$184K PPP
Higher Purchasing Power
VS
USD Difference
+228%
New York vs Seoul
🇰🇷 Seoul
South Korea
₩74.8M KRW
$56K USD
$90K PPP
Detailed Comparison
| Metric | New York | Seoul | Difference |
|---|---|---|---|
| Local Currency Salary | $184K USD | ₩74.8M KRW | — |
| USD Equivalent | $184K | $56K | +228% |
| PPP-Adjusted SalaryWINNER | $184K 🏆 | $90K | +103% |
| 25th Percentile | $147K USD | ₩59.8M KRW | — |
| Median | $184K USD | ₩74.8M KRW | — |
| 75th Percentile | $230K USD | ₩93.4M KRW | — |
| Annual Mean | $199K USD | ₩80.7M KRW | — |
What Does This Mean?
New York offers a Data Scientist salary of $184K USD, while Seoul offers $56K USD — a difference of +228% in raw terms.
After adjusting for purchasing power parity (PPP), New York's salary is worth $184K in US purchasing power terms, versus $90K for Seoul. This means New York 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.