US state labor-turnover intelligence (JOLTS)
US state labor-turnover intelligence from the BLS Job Openings and Labor Turnover Survey bulk flat files (keyless, U.S. public domain): all 50 states plus DC, monthly estimates December 2000 to December 2025, seasonally adjusted total nonfarm. Levels (thousands) and rates (percent) for job openings, hires, total separations, quits, and layoffs & discharges, plus BLS's unemployed-per-job-opening ratio. Method: the closed SA state slice is resolved from jt.series (fail loud on any missing or duplicate series), monthly M01-M12 rows pivoted wide, annual averages dropped, '-' cells kept as honest NULLs, preliminary (footnote P) months flagged. Derived signals: month-over-month change (pp for rates, pct for levels), trailing-12-month z-scores for quits/layoffs/openings rates, layoff-spike / quit-surge / hiring-freeze flags, openings-per-unemployed tightness, and a documented 0-100 labor_strength_score (equal-weighted min-max of openings/hires/quits rates and inverted layoffs rate over each state's own history) ranked monthly as strength_rank. Publication change: BLS moved State JOLTS from monthly to an ANNUAL release in July 2026 — each July publishes one more December-anchored year of monthly estimates, so the panel refreshes yearly with a 7-19 month lag (structural/analytical use: site selection, territory planning, wage-pressure analysis). Caveats: state JOLTS estimates carry larger sampling error than national figures; the score is relative to each state's history, not an absolute cross-state comparison.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 15 351
- Colonnes
- 40
- Cadence de la source
- Annuelle
- Dernière actualisation
- 29 sept. 2026
- Thème
- labor
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (first day, YYYY-MM-DD). |
| year | integer | Reference year. |
| month | integer | Reference month number (1-12). |
| country | string | Country name (United States). |
| country_code | string | ISO alpha-3 country code (USA). |
| state_code | string | USPS 2-letter state code. |
| state_name | string | State / district name. |
| state_fips | string | BLS 2-digit state FIPS code. |
| openings_k | float | Job openings level, thousands (BLS JO, SA). |
| openings_rate_pct | float | Job openings rate, percent (BLS JO, SA). |
| hires_k | float | Hires level, thousands (BLS HI, SA). |
| hires_rate_pct | float | Hires rate, percent (BLS HI, SA). |
| separations_k | float | Total separations level, thousands (BLS TS, SA). |
| separations_rate_pct | float | Total separations rate, percent (BLS TS, SA). |
| quits_k | float | Quits level, thousands (BLS QU, SA). |
| quits_rate_pct | float | Quits rate, percent (BLS QU, SA) — worker-confidence proxy: workers quit more when they expect to find better jobs. |
| layoffs_k | float | Layoffs & discharges level, thousands (BLS LD, SA). |
| layoffs_rate_pct | float | Layoffs & discharges rate, percent (BLS LD, SA) — employer-distress proxy. |
| unemp_per_opening_ratio | float | BLS unemployed persons per job opening ratio (UO, SA); lower = tighter labor market. |
| openings_per_unemployed | float | Labor-market tightness: 1 / unemp_per_opening_ratio; job openings per unemployed person. |
| openings_rate_pct_mom_pp | float | Month-over-month change of the openings rate, percentage points. |
| hires_rate_pct_mom_pp | float | Month-over-month change of the hires rate, percentage points. |
| separations_rate_pct_mom_pp | float | Month-over-month change of the separations rate, percentage points. |
| quits_rate_pct_mom_pp | float | Month-over-month change of the quits rate, percentage points. |
| layoffs_rate_pct_mom_pp | float | Month-over-month change of the layoffs rate, percentage points. |
| openings_k_mom_pct | float | Month-over-month percent change of openings level. |
| hires_k_mom_pct | float | Month-over-month percent change of hires level. |
| quits_k_mom_pct | float | Month-over-month percent change of quits level. |
| layoffs_k_mom_pct | float | Month-over-month percent change of layoffs level. |
| quits_rate_z12 | float | Trailing-12-month z-score of the quits rate (min 6 obs). |
| layoffs_rate_z12 | float | Trailing-12-month z-score of the layoffs rate (min 6 obs). |
| openings_rate_z12 | float | Trailing-12-month z-score of the openings rate (min 6 obs). |
| layoff_spike_flag | integer | 1 when layoffs_rate_z12 > 2 (abnormal layoff surge). |
| quit_surge_flag | integer | 1 when quits_rate_z12 > 2 (abnormal quit surge). |
| hiring_freeze_flag | integer | 1 when the hires level falls >= 10% month-over-month (sharp hiring pullback). |
| labor_strength_score | float | 0-100 gauge of how hot the state's labor market is vs its own history: 100 * mean of min-max-normalized openings, hires, quits rates and inverted layoffs rate (equal weights, documented in the connector). |
| strength_rank | integer | Rank of labor_strength_score within the month across states (1 = strongest; ties share the rank). |
| is_preliminary | integer | 1 when any core series for this state-month carries BLS footnote P (preliminary; revised next release). |
| row_hash | string | Content hash (sha256, 16 hex) over state, date, and core rates. |
| source_url | string | Canonical BLS JOLTS program page. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | year | month | country | country_code | state_code | state_name | state_fips | openings_k | openings_rate_pct | hires_k | hires_rate_pct | separations_k | separations_rate_pct | quits_k | quits_rate_pct | layoffs_k | layoffs_rate_pct | unemp_per_opening_ratio | openings_per_unemployed | openings_rate_pct_mom_pp | hires_rate_pct_mom_pp | separations_rate_pct_mom_pp | quits_rate_pct_mom_pp | layoffs_rate_pct_mom_pp | openings_k_mom_pct | hires_k_mom_pct | quits_k_mom_pct | layoffs_k_mom_pct | quits_rate_z12 | layoffs_rate_z12 | openings_rate_z12 | layoff_spike_flag | quit_surge_flag | hiring_freeze_flag | labor_strength_score | strength_rank | is_preliminary | row_hash | source_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-12-01 | 2 000 | 12 | United States | USA | AL | Alabama | 01 | 68 | 3,4 | 78 | 4 | 68 | 3,5 | 38 | 2 | 24 | 1,2 | 1,5 | 0,667 | — | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 47,85 | 41 | 0 | d0f9a0b05c0ca81b | https://www.bls.gov/jlt/ |
| 2001-01-01 | 2 001 | 1 | United States | USA | AL | Alabama | 01 | 70 | 3,5 | 81 | 4,2 | 77 | 4 | 45 | 2,3 | 25 | 1,3 | 1,4 | 0,714 | 0,1 | 0,2 | 0,5 | 0,3 | 0,1 | 2,941 | 3,846 | 18,421 | 4,167 | 0 | 0 | 0 | 0 | 0 | 0 | 51,91 | 41 | 0 | 57e6d028a9e14994 | https://www.bls.gov/jlt/ |
| 2001-02-01 | 2 001 | 2 | United States | USA | AL | Alabama | 01 | 70 | 3,5 | 67 | 3,5 | 76 | 3,9 | 43 | 2,2 | 28 | 1,4 | 1,5 | 0,667 | 0 | -0,7 | -0,1 | -0,1 | 0,1 | 0 | -17,284 | -4,444 | 12 | 0 | 0 | 0 | 0 | 0 | 1 | 44,62 | 51 | 0 | ec805a9f9a20929c | https://www.bls.gov/jlt/ |
| 2001-03-01 | 2 001 | 3 | United States | USA | AL | Alabama | 01 | 58 | 2,9 | 86 | 4,4 | 79 | 4,1 | 42 | 2,2 | 32 | 1,7 | 1,8 | 0,556 | -0,6 | 0,9 | 0,2 | 0 | 0,3 | -17,143 | 28,358 | -2,326 | 14,286 | 0 | 0 | 0 | 0 | 0 | 0 | 47,91 | 43 | 0 | 6596f59075fab17c | https://www.bls.gov/jlt/ |
| 2001-04-01 | 2 001 | 4 | United States | USA | AL | Alabama | 01 | 65 | 3,3 | 86 | 4,5 | 80 | 4,1 | 48 | 2,5 | 27 | 1,4 | 1,6 | 0,625 | 0,4 | 0,1 | 0 | 0,3 | -0,3 | 12,069 | 0 | 14,286 | -15,625 | 0 | 0 | 0 | 0 | 0 | 0 | 54,73 | 25 | 0 | 82e6eed8582d9bdd | https://www.bls.gov/jlt/ |
| 2001-05-01 | 2 001 | 5 | United States | USA | AL | Alabama | 01 | 67 | 3,4 | 79 | 4,1 | 73 | 3,8 | 43 | 2,2 | 25 | 1,3 | 1,6 | 0,625 | 0,1 | -0,4 | -0,3 | -0,3 | -0,1 | 3,077 | -8,14 | -10,417 | -7,407 | -0,204 | -0,484 | 0,296 | 0 | 0 | 0 | 49,81 | 31 | 0 | e156db6b9a4426c1 | https://www.bls.gov/jlt/ |
| 2001-06-01 | 2 001 | 6 | United States | USA | AL | Alabama | 01 | 61 | 3,1 | 70 | 3,6 | 79 | 4,1 | 46 | 2,4 | 27 | 1,4 | 1,7 | 0,588 | -0,3 | -0,5 | 0,3 | 0,2 | 0,1 | -8,955 | -11,392 | 6,977 | 8 | 0,883 | 0,091 | -0,894 | 0 | 0 | 1 | 45,56 | 38 | 0 | 7df8c5f58b9547ea | https://www.bls.gov/jlt/ |
| 2001-07-01 | 2 001 | 7 | United States | USA | AL | Alabama | 01 | 63 | 3,2 | 61 | 3,2 | 71 | 3,7 | 41 | 2,1 | 25 | 1,3 | 1,7 | 0,588 | 0,1 | -0,4 | -0,4 | -0,3 | -0,1 | 3,279 | -12,857 | -10,87 | -7,407 | -0,86 | -0,504 | -0,417 | 0 | 0 | 1 | 40,64 | 50 | 0 | 41db596b327bc069 | https://www.bls.gov/jlt/ |
| 2001-08-01 | 2 001 | 8 | United States | USA | AL | Alabama | 01 | 57 | 2,9 | 73 | 3,8 | 71 | 3,7 | 43 | 2,2 | 24 | 1,2 | 1,9 | 0,526 | -0,3 | 0,6 | 0 | 0,1 | -0,1 | -9,524 | 19,672 | 4,878 | -4 | -0,222 | -1,031 | -1,465 | 0 | 0 | 0 | 45,89 | 36 | 0 | 29ce69715706a72c | https://www.bls.gov/jlt/ |
| 2001-09-01 | 2 001 | 9 | United States | USA | AL | Alabama | 01 | 60 | 3 | 73 | 3,8 | 65 | 3,4 | 39 | 2 | 20 | 1 | 1,9 | 0,526 | 0,1 | 0 | -0,3 | -0,2 | -0,2 | 5,263 | 0 | -9,302 | -16,667 | -1,317 | -1,765 | -0,937 | 0 | 0 | 0 | 45,76 | 33 | 0 | d36e748d37590f0d | https://www.bls.gov/jlt/ |
- Actuelle
20260929T144316Z-cd9e7112965a · sha256 cd9e7112965a…
15 351 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/bls_state_jolts/bls_state_jolts_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_state_jolts/bls_state_jolts_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/bls_state_jolts/bls_state_jolts_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260929T144316Z-cd9e7112965a et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Bureau of Labor Statistics. (2026). US state labor-turnover intelligence (JOLTS) [Data set, snapshot 20260929T144316Z-cd9e7112965a, sha256 cd9e7112965a]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/bls_state_jolts/bls_state_jolts_monthly?snapshot=20260929T144316Z-cd9e7112965a
@misc{dz_bls_state_jolts_bls_state_jolts_monthly_cd9e7112,
title = {{US state labor-turnover intelligence (JOLTS)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_state_jolts/bls_state_jolts_monthly?snapshot=20260929T144316Z-cd9e7112965a}},
note = {Snapshot 20260929T144316Z-cd9e7112965a, sha256 cd9e7112965a1c758a3b337ee0bd55093095d942aa5ba39dd7728e0363d4ac9b; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=bls_state_jolts%2Fbls_state_jolts_monthly&lang=fr&theme=auto&snapshot=20260929T144316Z-cd9e7112965a&x=date&y=year&agg=avg" title="US state labor-turnover intelligence (JOLTS)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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