I Built A Dataset Tracking Daily US Job Postings Across 44 Sectors Since 2020 (Indeed Hiring Lab Data, CC BY 4.0)

What it is
Daily and sector-level tracking of the US job market since February 1, 2020 (pre-pandemic baseline) — how hiring demand shifted through COVID, the 2021–22 boom, and the tech slowdown after. Includes a “sector summary” file with the headline numbers already computed for you: net change since baseline, pandemic trough/peak, and days to recovery per sector.

Source
Underlying job postings data is from Indeed Hiring Lab’s Job Postings Tracker, licensed CC BY 4.0. I built and included an original sector-to-SOC-2018-major-group crosswalk (Indeed’s category system doesn’t map 1:1 to the standard occupational taxonomy, so this fills that gap) — that mapping is my own work, not part of Indeed’s data.

Size/scope
44 occupational sectors, all 51 states (incl. DC), daily observations from Feb 1, 2020 through today. National, sector-level, and state-level files, plus the pre-computed summary stats file.

How it was built
Fully scripted pipeline (Python/pandas) — one command downloads the raw data and rebuilds every output file from scratch. Nothing manually edited or copy-pasted, so it’s reproducible and easy to refresh later since Indeed updates their source weekly.

Links Dataset: https://www.kaggle.com/datasets/adizz321/us-job-market-shift-since-2020-postings-by-sector Notebook with visualizations (recovery-speed chart, sector winners/losers, state-level breakdown): https://www.kaggle.com/code/adizz321/the-job-market-inversion-what-changed-since-2020

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