| --- |
| license: cc-by-4.0 |
| pretty_name: Chainticks Labor Demand Index |
| tags: |
| - labor-market |
| - jobs |
| - hiring |
| - bls |
| - jolts |
| - parquet |
| - time-series |
| - agent-friendly |
| task_categories: |
| - tabular-regression |
| configs: |
| - config_name: official_labor_timeseries |
| data_files: |
| - split: train |
| path: official_labor_timeseries/date=*/part-*.parquet |
| - config_name: jolts_sector_metrics |
| data_files: |
| - split: train |
| path: jolts_sector_metrics/date=*/part-*.parquet |
| - config_name: jolts_release_vintages |
| data_files: |
| - split: train |
| path: jolts_release_vintages/date=*/part-*.parquet |
| - config_name: sampled_posting_aggregates |
| data_files: |
| - split: train |
| path: sampled_posting_aggregates/date=*/part-*.parquet |
| - config_name: labor_pressure_index |
| data_files: |
| - split: train |
| path: labor_pressure_index/date=*/part-*.parquet |
| - config_name: oews_wages |
| data_files: |
| - split: train |
| path: oews_wages/date=*/part-*.parquet |
| - config_name: role_taxonomy |
| data_files: |
| - split: train |
| path: role_taxonomy/date=*/part-*.parquet |
| - config_name: query_taxonomy |
| data_files: |
| - split: train |
| path: query_taxonomy/date=*/part-*.parquet |
| - config_name: occupation_bridge |
| data_files: |
| - split: train |
| path: occupation_bridge/date=*/part-*.parquet |
| - config_name: jolts_sector_taxonomy |
| data_files: |
| - split: train |
| path: jolts_sector_taxonomy/date=*/part-*.parquet |
| - config_name: geo_taxonomy |
| data_files: |
| - split: train |
| path: geo_taxonomy/date=*/part-*.parquet |
| --- |
| |
| # Chainticks Labor Demand Index |
|
|
| An agent-friendly labor-demand panel for finding where organizations are still trying to hire humans for work that may be automatable. |
|
|
| This dataset intentionally publishes **aggregates and official public-domain series only**: |
|
|
| - `official_labor_timeseries`: BLS JOLTS monthly openings, hires, quits, layoffs/discharges, and separations by US sector (latest revision). |
| - `jolts_sector_metrics`: derived vacancy/hire, quit/hire, separation/hire, and YoY openings metrics from JOLTS. |
| - `jolts_release_vintages`: append-only snapshots of JOLTS values as observed on each collection date, partitioned by `vintage_date`, so revision history is preserved (first-release vs. latest). |
| - `sampled_posting_aggregates`: small, rate-limited JobSpy query aggregates by role family, geography, and snapshot date. Includes posting-age signals (`new_postings_count`, `median_posting_age_days`, `stale_share_30d/60d/90d`) derived from a private first-seen ledger, and salary/workflow/compliance texture. |
| - `labor_pressure_index`: **the combined index** — one auditable score per role family x geo x day that fuses automation fit, workflow digitization, posting persistence (can't-fill signal), and confidence-weighted JOLTS sector tightness. This is the join of the demand and tightness halves of the panel, materialized. Carries `oews_annual_median_wage` as a ground-truth labor-cost anchor. |
| - `oews_wages`: BLS OEWS national annual mean/median wages for the tracked SOC occupations (public domain; the ground-truth labor cost behind each role family). |
| - `role_taxonomy`: the tracked automatable role families, query terms, skill terms, and automation-fit labels. |
| - `query_taxonomy`: one row per tracked search query, so query panels can evolve without changing downstream schemas. |
| - `occupation_bridge`: candidate SOC, NAICS, and JOLTS-sector bridges for each tracked workflow. |
| - `jolts_sector_taxonomy`: the tracked JOLTS sector codes used by the collector. |
| - `geo_taxonomy`: the stable country/metro panel used for rotating sampled posting collection. |
|
|
| Raw job postings, job URLs, company names, emails, and descriptions are not included. |
|
|
| ```python |
| import pandas as pd |
| |
| repo = "Chainticks/labor-demand-index" |
| date = "YYYY-MM-DD" |
| url = f"https://huggingface.co/datasets/{repo}/resolve/main/sampled_posting_aggregates/date={date}/part-0000.parquet" |
| df = pd.read_parquet(url) |
| print(df.head()) |
| ``` |
|
|
| ## Use Cases |
|
|
| - Track sampled demand for automatable back-office roles, including how long requisitions stay open (`stale_share_30d/60d/90d`) — the clearest "can't hire a human" signal. |
| - Join live posting aggregates to official JOLTS sector tightness via the `jolts_sector_candidates_json` bridge. |
| - Nowcast monthly JOLTS from daily postings, and check whether postings led the *revised* number using `jolts_release_vintages`. |
| - Analyze posting-level workflow texture through aggregate software, workflow, and compliance term counts. |
| - Find role families where hiring demand, turnover, posting age, and automation fit are all high. |
| - Build daily research agents without storing raw scraped job-board content. |
|
|
| ## Limitations |
|
|
| `sampled_posting_aggregates` is a directional sample, not a job-posting census. Job boards rate-limit and change markup. Source coverage can shift by day, site, geography, and query wording. Treat counts as comparable only within the same query/source configuration and use BLS rows as the official macro anchor. A pinned core panel is sampled every day for stable per-cell time series; the long tail rotates. |
|
|
| ## Layout |
|
|
| ``` |
| official_labor_timeseries/date=YYYY-MM-DD/part-0000.parquet |
| jolts_sector_metrics/date=YYYY-MM-DD/part-0000.parquet |
| jolts_release_vintages/date=YYYY-MM-DD/part-0000.parquet |
| sampled_posting_aggregates/date=YYYY-MM-DD/part-0000.parquet |
| labor_pressure_index/date=YYYY-MM-DD/part-0000.parquet |
| oews_wages/date=YYYY-MM-DD/part-0000.parquet |
| role_taxonomy/date=YYYY-MM-DD/part-0000.parquet |
| query_taxonomy/date=YYYY-MM-DD/part-0000.parquet |
| occupation_bridge/date=YYYY-MM-DD/part-0000.parquet |
| jolts_sector_taxonomy/date=YYYY-MM-DD/part-0000.parquet |
| geo_taxonomy/date=YYYY-MM-DD/part-0000.parquet |
| _schema.json |
| _manifest.json |
| LATEST_DATE.txt |
| ``` |
|
|
| ## Provenance |
|
|
| Allowed `source_kind` values are `['derived', 'public_domain', 'sampled_public_web_aggregate']`. Raw scraped postings are private collection artifacts and must not be uploaded to this public dataset. |
|
|
