Data Scientist Salary: Mexico City vs New York
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇲🇽 Mexico City
Mexico
MX$690K MXN
$35K USD
$80K PPP
VS
USD Difference
-81%
Mexico City vs New York
🇺🇸 New York
United States
$184K USD
$184K USD
$184K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Mexico City | New York | Difference |
|---|---|---|---|
| Local Currency Salary | MX$690K MXN | $184K USD | — |
| USD Equivalent | $35K | $184K | -81% |
| PPP-Adjusted SalaryWINNER | $80K | $184K 🏆 | -56% |
| 25th Percentile | MX$552K MXN | $147K USD | — |
| Median | MX$690K MXN | $184K USD | — |
| 75th Percentile | MX$863K MXN | $230K USD | — |
| Annual Mean | MX$745K MXN | $199K USD | — |
What Does This Mean?
Mexico City offers a Data Scientist salary of $35K USD, while New York offers $184K USD — a difference of -81% in raw terms.
After adjusting for purchasing power parity (PPP), Mexico City's salary is worth $80K in US purchasing power terms, versus $184K for New York. 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.