Machine Learning Engineer Salary: Guadalajara vs New York
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇲🇽 Guadalajara
Mexico
MX$650K MXN
$33K USD
$76K PPP
VS
USD Difference
-84%
Guadalajara vs New York
🇺🇸 New York
United States
$208K USD
$208K USD
$208K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Guadalajara | New York | Difference |
|---|---|---|---|
| Local Currency Salary | MX$650K MXN | $208K USD | — |
| USD Equivalent | $33K | $208K | -84% |
| PPP-Adjusted SalaryWINNER | $76K | $208K 🏆 | -64% |
| 25th Percentile | MX$520K MXN | $166K USD | — |
| Median | MX$650K MXN | $208K USD | — |
| 75th Percentile | MX$813K MXN | $260K USD | — |
| Annual Mean | MX$702K MXN | $225K USD | — |
What Does This Mean?
Guadalajara offers a Machine Learning Engineer salary of $33K USD, while New York offers $208K USD — a difference of -84% in raw terms.
After adjusting for purchasing power parity (PPP), Guadalajara's salary is worth $76K in US purchasing power terms, versus $208K 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.