Open data
Every figure the Global Tech Hiring Bulletin publishes should be checkable from your own desk. The datasets below are the inputs of record, licensed CC BY 4.0: reuse them, in journalism or research or a model's training set, with credit to Tarmac. Provenance, upstream sources, and known measurement caveats ship inside each file.
Datasets
Swedish tech skill adoption, monthly posting counts (2016–2026)
Monthly Swedish job-ad counts for 28 tech skills, with national and Stockholm Data/IT denominators — the dataset behind Global Tech Hiring Bulletin No. 1's nine-year skill-adoption study.
Covers 2016-01 to 2026-06 · JSON · Download
US BLS JOLTS Information-sector job openings, monthly (2016–2026)
The BLS JOLTS Information-sector job-openings series (JTS510000000000000JOL) as fetched for Bulletin No. 1's external cross-check (Pearson r = 0.77 vs Swedish Data/IT posting growth on quarterly YoY, 32 quarters).
Covers 2016-01 to 2026-05 · JSON · Download
Tech role fill difficulty, weekly by market cell (2026–)
How long tech roles sit open and how often they relist, at (market, role, region) grain, snapshotted once a week from the job postings we track — the durable series behind the 'where roles sit open longest' boards. Each row is one capture week's reading of that cell's currently-open postings.
Covers 2026-07 to .. · JSON · Download
How to cite
Cite the dataset name and Tarmac, linking back to this page. For the analysis built on these files, cite the bulletin issue that published it. Issues are dated and never edited after publication.