---
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.