Our data methodology

TeamCalc's salary benchmarks are built from multiple independent data sources, processed through a systematic blending pipeline.

Source tiers

We classify data sources into four tiers based on reliability:

1. Institutional — government statistics and official surveys (highest weight)
2. Commercial — established recruitment firms and salary survey providers
3. Aggregated — platforms that compile self-reported and job posting data
4. Supplementary — additional market signals used to fill gaps

How blending works

Raw salary figures from all sources go through:

1. Validation — outlier detection and sanity checks
2. Weighting — more reliable and recent sources get higher influence
3. Blending — weighted combination produces p25, p50 (median), and p75 figures
4. Quality scoring — each output gets a confidence score based on source coverage and agreement

Quality scores explained

Every benchmark includes a score from 0–100 across four dimensions:

• Source depth — how many independent sources contributed
• Source agreement — how closely the sources agree with each other
• Freshness — how recent the underlying data is
• Directness — whether data is directly observed or inferred from related roles/regions

The overall score maps to a label: Strong, Good, Indicative, or Directional.

Learn more

Visit Our Methodology for the full explanation, including visual diagrams of the blending pipeline and a live quality badge demo.