Data Scientist Salary: Guadalajara vs San Francisco
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇲🇽 Guadalajara
Mexico
MX$575K MXN
$29K USD
$67K PPP
VS
USD Difference
-86%
Guadalajara vs San Francisco
🇺🇸 San Francisco
United States
$213K USD
$213K USD
$213K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Guadalajara | San Francisco | Difference |
|---|---|---|---|
| Local Currency Salary | MX$575K MXN | $213K USD | — |
| USD Equivalent | $29K | $213K | -86% |
| PPP-Adjusted SalaryWINNER | $67K | $213K 🏆 | -69% |
| 25th Percentile | MX$460K MXN | $170K USD | — |
| Median | MX$575K MXN | $213K USD | — |
| 75th Percentile | MX$719K MXN | $266K USD | — |
| Annual Mean | MX$621K MXN | $230K USD | — |
What Does This Mean?
Guadalajara offers a Data Scientist salary of $29K USD, while San Francisco offers $213K USD — a difference of -86% in raw terms.
After adjusting for purchasing power parity (PPP), Guadalajara's salary is worth $67K 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.