US labor-turnover intelligence: JOLTS + Beveridge ratio (monthly)
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Monthly US labor-turnover intelligence from the BLS Job Openings and Labor Turnover Survey (keyless BLS Public Data API v2): national total-nonfarm seasonally adjusted job openings, hires, total separations, quits, and layoffs & discharges — levels in thousands and rates in percent — joined to the CPS national unemployed level for the Beveridge ratio (openings per unemployed person). Includes MoM/YoY momentum, trailing-12-month z-scores of the three key rates, a documented 0-100 turnover-tightness score with ranks and tightness tiers, and worker-confidence / layoff-stress / record-openings flags. Methodology window 2017-01 onward. Caveats: the latest JOLTS month lags ~2 months and is routinely revised; BLS material is public domain (commercial reuse allowed); source: U.S. Bureau of Labor Statistics.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 115
- Colonnes
- 34
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 27 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month | string | Reference month: first day of the month, ISO date. The panel covers the consistent methodology window 2017-01 onward; the latest JOLTS month normally lags ~2 months behind the CPS headline. (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| job_openings_k | float | Published seasonally adjusted job openings, total nonfarm, kept verbatim as published. (unit: thousands of persons) |
| openings_rate_pct | float | Published seasonally adjusted job openings rate (openings as a percent of employment plus openings). (unit: percent) |
| openings_mom_k | float | Month-over-month change of the openings level. (unit: thousands of persons) |
| openings_yoy_k | float | Year-over-year change of the openings level. (unit: thousands of persons) |
| openings_rate_mom_pp | float | Month-over-month change of the openings rate. (unit: percentage points) |
| openings_rate_yoy_pp | float | Year-over-year change of the openings rate. (unit: percentage points) |
| hires_k | float | Published seasonally adjusted hires, total nonfarm. (unit: thousands of persons) |
| hires_rate_pct | float | Published seasonally adjusted hires rate. (unit: percent) |
| separations_k | float | Published seasonally adjusted total separations. (unit: thousands of persons) |
| separations_rate_pct | float | Published seasonally adjusted total separations rate. (unit: percent) |
| quits_k | float | Published seasonally adjusted quits (voluntary separations). (unit: thousands of persons) |
| quits_rate_pct | float | Published seasonally adjusted quits rate. (unit: percent) |
| quits_rate_yoy_pp | float | Year-over-year change of the quits rate. (unit: percentage points) |
| layoffs_k | float | Published seasonally adjusted layoffs & discharges. (unit: thousands of persons) |
| layoffs_rate_pct | float | Published seasonally adjusted layoffs & discharges rate. (unit: percent) |
| layoffs_rate_yoy_pp | float | Year-over-year change of the layoffs rate. (unit: percentage points) |
| unemployed_k | float | CPS national unemployed level (series LNS13000000), thousands; month-level context for the Beveridge ratio. The CPS headline runs about one month ahead of JOLTS. (unit: thousands of persons) |
| beveridge_ratio | float | job_openings_k / unemployed_k — openings per unemployed person, the textbook labor-market tightness gauge. Caveat: JOLTS is an establishment survey, CPS a household survey, so this is the standard approximation, not an exact identity. (unit: ratio) |
| beveridge_mom | float | Month-over-month change of the Beveridge ratio. (unit: ratio points) |
| beveridge_yoy | float | Year-over-year change of the Beveridge ratio. (unit: ratio points) |
| z12_openings_rate | float | Trailing-12-month z-score of the openings rate (minimum 12 observations). (unit: z-score) |
| z12_quits_rate | float | Trailing-12-month z-score of the quits rate. (unit: z-score) |
| z12_layoffs_rate | float | Trailing-12-month z-score of the layoffs rate. (unit: z-score) |
| turnover_tightness_score | float | Documented 0-100 composite: 100 * (0.50 * linmap(winsorized z12_openings_rate, -3..3) + 0.30 * linmap(winsorized z12_quits_rate) + 0.20 * linmap(-winsorized z12_layoffs_rate)), linmap mapping [-3, 3] -> [0, 1]. High = tight labor market. (unit: 0-100 score) |
| tightness_rank | integer | Rank of turnover_tightness_score across the panel (1 = tightest month). (unit: rank) |
| tightness_tier | string | Panel-quartile bucket of the score: t1 (loosest) .. t4 (tightest). (unit: tier) |
| quits_high_flag | integer | 1 when the quits rate is at or above its trailing-12-month 75th percentile (worker confidence). (unit: binary) |
| layoff_stress_flag | integer | 1 when the layoffs rate is at or above its trailing-12-month 90th percentile (stress). (unit: binary) |
| openings_record_12m_flag | integer | 1 when the openings rate equals its trailing-12-month maximum. (unit: binary) |
| source_url | string | BLS JOLTS program homepage (provenance). (unit: URL) |
| bls_series_ids | string | Semicolon-joined BLS series ids behind the row (the 11 curated JOLTS + CPS ids). |
| row_hash | string | Deterministic 16-hex row hash of the month (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | job_openings_k | openings_rate_pct | openings_mom_k | openings_yoy_k | openings_rate_mom_pp | openings_rate_yoy_pp | hires_k | hires_rate_pct | separations_k | separations_rate_pct | quits_k | quits_rate_pct | quits_rate_yoy_pp | layoffs_k | layoffs_rate_pct | layoffs_rate_yoy_pp | unemployed_k | beveridge_ratio | beveridge_mom | beveridge_yoy | z12_openings_rate | z12_quits_rate | z12_layoffs_rate | turnover_tightness_score | tightness_rank | tightness_tier | quits_high_flag | layoff_stress_flag | openings_record_12m_flag | source_url | bls_series_ids | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-01-01 | USA | 5 617 | 3,7 | — | — | — | — | 5 499 | 3,8 | 5 320 | 3,7 | 3 188 | 2,2 | — | 1 745 | 1,2 | — | 7 468 | 0,752 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | ce908ef3ae92367e |
| 2017-02-01 | USA | 5 923 | 3,9 | 306 | — | 0,2 | — | 5 350 | 3,7 | 5 176 | 3,5 | 3 089 | 2,1 | — | 1 711 | 1,2 | — | 7 379 | 0,803 | 0,051 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | 5c2aa54cbac58255 |
| 2017-03-01 | USA | 5 811 | 3,8 | -112 | — | -0,1 | — | 5 395 | 3,7 | 5 280 | 3,6 | 3 150 | 2,2 | — | 1 762 | 1,2 | — | 7 073 | 0,822 | 0,019 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | bcf2de0da86a9662 |
| 2017-04-01 | USA | 6 091 | 4 | 280 | — | 0,2 | — | 5 272 | 3,6 | 5 091 | 3,5 | 3 028 | 2,1 | — | 1 710 | 1,2 | — | 7 089 | 0,859 | 0,038 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | 4a4e32124c511f45 |
| 2017-05-01 | USA | 5 826 | 3,8 | -265 | — | -0,2 | — | 5 477 | 3,7 | 5 270 | 3,6 | 3 111 | 2,1 | — | 1 794 | 1,2 | — | 7 000 | 0,832 | -0,027 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | c01c01f92e62bd97 |
| 2017-06-01 | USA | 6 305 | 4,1 | 479 | — | 0,3 | — | 5 635 | 3,8 | 5 463 | 3,7 | 3 154 | 2,2 | — | 1 970 | 1,3 | — | 6 873 | 0,917 | 0,085 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | ec952c986f900a78 |
| 2017-07-01 | USA | 6 238 | 4,1 | -67 | — | 0 | — | 5 497 | 3,7 | 5 338 | 3,6 | 3 097 | 2,1 | — | 1 910 | 1,3 | — | 6 892 | 0,905 | -0,012 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | e49b8c9d36b62dff |
| 2017-08-01 | USA | 6 276 | 4,1 | 38 | — | 0 | — | 5 519 | 3,8 | 5 334 | 3,6 | 3 103 | 2,1 | — | 1 868 | 1,3 | — | 7 082 | 0,886 | -0,019 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | 3eb5829980e91a31 |
| 2017-09-01 | USA | 6 320 | 4,1 | 44 | — | 0 | — | 5 450 | 3,7 | 5 289 | 3,6 | 3 190 | 2,2 | — | 1 787 | 1,2 | — | 6 854 | 0,922 | 0,036 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | e795cf8051db8b5c |
| 2017-10-01 | USA | 6 408 | 4,2 | 88 | — | 0,1 | — | 5 581 | 3,8 | 5 397 | 3,7 | 3 219 | 2,2 | — | 1 837 | 1,2 | — | 6 700 | 0,956 | 0,034 | — | — | — | — | — | — | — | 0 | 0 | 0 | https://www.bls.gov/jlt/ | JTS000000000000000HIL;JTS000000000000000HIR;JTS000000000000000JOL;JTS000000000000000JOR;JTS000000000000000LDL;JTS000000000000000LDR;JTS000000000000000QUL;JTS000000000000000QUR;JTS000000000000000TSL;JTS000000000000000TSR;LNS13000000 | e45f69b598e5ca6e |
Profilé le 27 sept. 2026 à partir de l’instantané
Mesuré- Complétude
- 96,6 %
- Lignes
- 115
- Colonnes
- 34
- Colonnes incomplètes
- 16
20172026
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| monthvarchar | 0 % | 89 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| job_openings_kdouble | 0 % | 117 | 4 606 → 12 301médiane 7 275 | 4 hors du 1er–99e centile |
| openings_rate_pctdouble | 0 % | 33 | 3,4 → 7,5médiane 4,6 | 4 hors du 1er–99e centile |
| openings_mom_kdouble | 0,87 % | 108 | -1 484 → 1 006médiane 7,5 | 4 hors du 1er–99e centile |
| openings_yoy_kdouble | 10,4 % | 119 | -2 919 → 4 747médiane -209 | 4 hors du 1er–99e centile |
| openings_rate_mom_ppdouble | 0,87 % | 26 | -0,8 → 0,6médiane 0 | 4 hors du 1er–99e centile |
| openings_rate_yoy_ppdouble | 10,4 % | 52 | -1,7 → 2,7médiane -0,1 | 4 hors du 1er–99e centile |
| hires_kdouble | 0 % | 102 | 4 029 → 8 133médiane 5 689 | 4 hors du 1er–99e centile |
| hires_rate_pctdouble | 0 % | 17 | 3,1 → 6,1médiane 3,8 | 4 hors du 1er–99e centile |
| separations_kdouble | 0 % | 106 | 4 718 → 16 275médiane 5 494 | 4 hors du 1er–99e centile |
| separations_rate_pctdouble | 0 % | 13 | 3,2 → 10,8médiane 3,7 | 2 hors du 1er–99e centile |
| quits_kdouble | 0 % | 121 | 1 991 → 4 499médiane 3 386 | 4 hors du 1er–99e centile |
| quits_rate_pctdouble | 0 % | 16 | 1,5 → 3médiane 2,3 | 4 hors du 1er–99e centile |
| quits_rate_yoy_ppdouble | 10,4 % | 26 | -0,8 → 1,2médiane -0,1 | 4 hors du 1er–99e centile |
| layoffs_kdouble | 0 % | 120 | 1 312 → 12 985médiane 1 714 | 4 hors du 1er–99e centile |
| layoffs_rate_pctdouble | 0 % | 10 | 0,9 → 8,6médiane 1,1 | 2 hors du 1er–99e centile |
| layoffs_rate_yoy_ppdouble | 10,4 % | 24 | -7,6 → 7,5médiane 0 | 4 hors du 1er–99e centile |
| unemployed_kdouble | 0,87 % | 98 | 5 747 → 23 084médiane 6 666 | 4 hors du 1er–99e centile |
| beveridge_ratiodouble | 0,87 % | 128 | 0,1995 → 2,04médiane 1,1 | 4 hors du 1er–99e centile |
| beveridge_momdouble | 2,6 % | 135 | -0,6184 → 0,1889médiane 0,0129 | 4 hors du 1er–99e centile |
| beveridge_yoydouble | 11,3 % | 108 | -1,02 → 1,17médiane -0,0161 | 4 hors du 1er–99e centile |
| z12_openings_ratedouble | 9,6 % | 107 | -2,67 → 2,26médiane -0,4282 | 4 hors du 1er–99e centile |
| z12_quits_ratedouble | 9,6 % | 100 | -3,09 → 2,35médiane -0,2887 | 4 hors du 1er–99e centile |
| z12_layoffs_ratedouble | 9,6 % | 90 | -2,35 → 3,17médiane -0,2887 | 4 hors du 1er–99e centile |
| turnover_tightness_scoredouble | 9,6 % | 97 | 2,75 → 81,16médiane 43,31 | 4 hors du 1er–99e centile |
| tightness_rankbigint | 9,6 % | 100 | 1 → 104médiane 52,5 | 4 hors du 1er–99e centile |
| tightness_tiervarchar | 9,6 % | 4 | — |
|
| quits_high_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| layoff_stress_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| openings_record_12m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| source_urlvarchar | 0 % | 1 | — |
|
| bls_series_idsvarchar | 0 % | 1 | — |
|
| row_hashvarchar | 0 % | 122 | — |
|
- Actuelle
20260927T205230Z-60665f674fff · sha256 60665f674fff…
115 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
curl "https://datazimuts.com/v1/datasets/bls_jolts_turnover_intel/us_jolts_labor_turnover_monthly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_jolts_turnover_intel/us_jolts_labor_turnover_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_jolts_turnover_intel/us_jolts_labor_turnover_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 20260927T205230Z-60665f674fff et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
U.S. Bureau of Labor Statistics. (2026). US labor-turnover intelligence: JOLTS + Beveridge ratio (monthly) [Data set, snapshot 20260927T205230Z-60665f674fff, sha256 60665f674fff]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/bls_jolts_turnover_intel/us_jolts_labor_turnover_monthly?snapshot=20260927T205230Z-60665f674fff
BibTeX
@misc{dz_bls_jolts_turnover_intel_us_jolts_labor__60665f67,
title = {{US labor-turnover intelligence: JOLTS + Beveridge ratio (monthly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_jolts_turnover_intel/us_jolts_labor_turnover_monthly?snapshot=20260927T205230Z-60665f674fff}},
note = {Snapshot 20260927T205230Z-60665f674fff, sha256 60665f674fff557b7e5876b0a73176b6999f4301cff4d854aa0654a96b98d0b5; accessed 2026-09-27}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=bls_jolts_turnover_intel%2Fus_jolts_labor_turnover_monthly&lang=fr&theme=auto&snapshot=20260927T205230Z-60665f674fff&x=month&y=job_openings_k&agg=avg" title="US labor-turnover intelligence: JOLTS + Beveridge ratio (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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