Datasets:

Chainticks
/

labor-demand-index

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.

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.