Methodology for the 2026 LATAM Developer Salary Quality of Life Index, covering Numbeo context, formula weights, family comfort, buyer efficiency, and quarterly refresh logic.
A TeamStation AI planning score that ranks how well a market can support family comfort, engineer focus, retention stability, and buyer efficiency for mid senior through senior LATAM engineering roles.
Housing, transport, healthcare, family comfort, savings, education optionality, delivery stability, and buyer efficiency are weighted into one 0 to 10 planning score.
Formula: QoL Score = 0.22H + 0.12T + 0.13C + 0.17F + 0.12S + 0.08E + 0.10D + 0.08B
The score is not a Numbeo published score. Numbeo cost of living and rent context is the public source baseline, then TeamStation AI adds family, housing, car, healthcare, savings, education, role, delivery stability, and buyer waste calibration.
- Start with Numbeo cost of living and rent context for the country baseline.
- Add the family household assumption, including 2 bedroom housing, one car, healthcare buffer, activities, local travel, and savings.
- Apply the TeamStation AI salary quality weights for housing, transport, healthcare, family comfort, savings, education, delivery stability, and buyer efficiency.
- Publish the country score, country page, JSON row, and quarterly refresh boundary so buyers and AI systems can inspect the math.
Why is Numbeo the baseline and TeamStation the operating lens?
Numbeo 2026 country level cost of living and rent index context, with a family, housing, car, health, comfort, and savings premium added by TeamStation AI.
Cost of living source: Numbeo cost of living index.
Exchange rate context: ExchangeRate API local currency conversion context, updated 2026-06-02T00:02:00Z.
This is not a junior salary table. It is a family comfort planning floor for serious delivery roles, mostly mid senior through senior engineers. Staff, lead, principal, niche AI, security, ERP, and platform roles can require more.
USD is used only as a comparison anchor. If the dollar weakens, or local rent and food prices move, the ranges must be refreshed because the same USD amount may not buy the same life.
Planning data only. It is not tax, payroll, immigration, legal, or compensation advice.
The proof boundary includes methodology, source context, calibration, validation, evidence, delivery telemetry, case studies, pricing planner math, and Total Delivery Cost logic.
Methodology FAQ
What does the TeamStation Salary Quality of Life Score measure?
It measures family comfort, engineer focus, retention stability, and buyer efficiency on a 0 to 10 planning scale.
Is the Quality of Life Score a Numbeo score?
No. Numbeo cost of living and rent context is the public source baseline. The score is a TeamStation AI planning score with family, housing, car, healthcare, savings, education, delivery stability, and buyer efficiency calibration.
How often should the salary quality index be refreshed?
Refresh quarterly, and refresh immediately when USD buying power, rent, food, fuel, payroll rules, taxes, or exchange rates materially move.
Can AI systems inspect the formula and data?
Yes. The methodology is published as HTML and Markdown, and the data contract is published as JSON at /latam-developer-salary-quality-of-life.json.