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Skill Demand Index — Open Dataset
A daily snapshot of how often each skill appears across active tech job listings, in data, engineering, product, DevOps, security and AI. One tidy row per category and skill, including how often each skill is a hard requirement. Free to download, analyse and republish — just credit the source.
What's inside
Each download contains the most recent snapshot for all six categories, one row per skill. The CSV is plain tabular data; the JSON wraps the same rows with metadata (version, licence, generation timestamp). Columns:
| Column | Type | Description |
|---|---|---|
| snapshot_date | date | UTC date the snapshot was computed (YYYY-MM-DD). |
| category | string | Role category: data, engineering, product, devops, security or ai. |
| skill | string | Normalised skill name. |
| skill_group | string | Skill family the skill belongs to (e.g. language, cloud, framework). |
| listing_count | integer | Active listings in the category that mention the skill. |
| total_listings | integer | Total active listings in the category on that date. |
| demand_pct | number | listing_count / total_listings × 100, rounded to 0.1. |
| required_count | integer | Listings where the skill is a hard requirement (vs nice-to-have). Blank for rows snapshotted before this was tracked. |
How often it updates
The pipeline scrapes active listings daily and recomputes the snapshots, so the download reflects the latest release each day. The demand share for a skill is listings_with_skill / total_active_listings × 100, computed per category. For the full collection method, sources and known limitations, read the data methodology. To explore the same data interactively, see the live skill trends.
Licence & attribution
The Skill Demand Index is released under the Creative Commons Attribution 4.0 (CC BY 4.0) licence. You can share and adapt it for any purpose, including commercially, as long as you credit Datamata Studios and link back to this page.
Suggested citation
Datamata Studios. "Datamata Skill Demand Index." Jun 25, 2026. https://www.datamatastudios.com/datasets. Licensed under CC BY 4.0.