US business job flows: gross gains & losses (quarterly)
Usage commercial OKÀ jour
Interroger dans l’atelierLe jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSVTélécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.
Quarterly US business job-flows intelligence from the BLS Business Employment Dynamics program (keyless BLS Public Data API v2): national total-private seasonally adjusted gross job gains and gross job losses — levels in thousands and rates in percent — decomposed into expansions, openings, contractions and closings, with the BED net employment change (gains minus losses) and quarter-over-quarter / year-over-year momentum of levels and rates. Method: BED links quarterly establishment records from the third month of one quarter to the third month of the next; gains = expansions + openings and losses = contractions + closings by definition. Units: thousands of jobs for levels, percent of employment for rates. Caveats: the latest quarter lags ~7 months and is routinely revised; the 2020 quarters are extreme COVID outliers; 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
- 36
- Colonnes
- 26
- Cadence de la source
- Trimestrielle
- Dernière actualisation
- 28 sept. 2026
- Thème
- labor
| Colonne | Type | Description |
|---|---|---|
| quarter | string | Reference quarter: first day of the quarter's first month, ISO date. The panel covers a rolling 10-year window (the BLS v2 API returns at most 10 years per query for unregistered callers); the latest BED quarter normally lags ~7 months behind real time. (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| gains_k | float | Published seasonally adjusted gross job gains, total private, kept verbatim as published. (unit: thousands of jobs) |
| losses_k | float | Published seasonally adjusted gross job losses, total private, kept verbatim as published. (unit: thousands of jobs) |
| net_k | float | gains_k - losses_k: the BED net employment change for the quarter. (unit: thousands of jobs) |
| expansions_k | float | Jobs gained at expanding establishments (gains component). (unit: thousands of jobs) |
| openings_k | float | Jobs gained at opening establishments (gains component). (unit: thousands of jobs) |
| contractions_k | float | Jobs lost at contracting establishments (losses component). (unit: thousands of jobs) |
| closings_k | float | Jobs lost at closing establishments (losses component). (unit: thousands of jobs) |
| gain_rate_pct | float | Published seasonally adjusted gross job gains as a percent of employment. (unit: percent) |
| loss_rate_pct | float | Published seasonally adjusted gross job losses as a percent of employment. (unit: percent) |
| net_rate_pp | float | gain_rate_pct - loss_rate_pct: net employment change in percentage points of employment. (unit: percentage points) |
| gains_qoq_k | float | Quarter-over-quarter change of gross job gains. (unit: thousands of jobs) |
| losses_qoq_k | float | Quarter-over-quarter change of gross job losses. (unit: thousands of jobs) |
| net_qoq_k | float | Quarter-over-quarter change of the net employment change. (unit: thousands of jobs) |
| gains_yoy_k | float | Year-over-year (4-quarter) change of gross job gains. (unit: thousands of jobs) |
| losses_yoy_k | float | Year-over-year (4-quarter) change of gross job losses. (unit: thousands of jobs) |
| net_yoy_k | float | Year-over-year (4-quarter) change of the net employment change. (unit: thousands of jobs) |
| gain_rate_qoq_pp | float | Quarter-over-quarter change of the gross job gains rate. (unit: percentage points) |
| loss_rate_qoq_pp | float | Quarter-over-quarter change of the gross job losses rate. (unit: percentage points) |
| net_rate_qoq_pp | float | Quarter-over-quarter change of the net rate. (unit: percentage points) |
| gain_rate_yoy_pp | float | Year-over-year (4-quarter) change of the gross job gains rate. (unit: percentage points) |
| loss_rate_yoy_pp | float | Year-over-year (4-quarter) change of the gross job losses rate. (unit: percentage points) |
| source_url | string | BLS BED program homepage (provenance). (unit: URL) |
| bls_series_ids | string | Semicolon-joined BLS series ids behind the row (the 8 curated BED ids). |
| row_hash | string | Deterministic 16-hex row hash of the quarter (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| quarter | country_code | gains_k | losses_k | net_k | expansions_k | openings_k | contractions_k | closings_k | gain_rate_pct | loss_rate_pct | net_rate_pp | gains_qoq_k | losses_qoq_k | net_qoq_k | gains_yoy_k | losses_yoy_k | net_yoy_k | gain_rate_qoq_pp | loss_rate_qoq_pp | net_rate_qoq_pp | gain_rate_yoy_pp | loss_rate_yoy_pp | source_url | bls_series_ids | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-01-01 | USA | 7 434 | 6 783 | 651 | 6 090 | 1 344 | 5 599 | 1 184 | 6,1 | 5,6 | 0,5 | — | — | — | — | — | — | — | — | — | — | — | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | f8f44ca8385abf8b |
| 2017-04-01 | USA | 7 639 | 7 113 | 526 | 6 265 | 1 374 | 5 844 | 1 269 | 6,2 | 5,8 | 0,4 | 205 | 330 | -125 | — | — | — | 0,1 | 0,2 | -0,1 | — | — | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | b94968e4b216901d |
| 2017-07-01 | USA | 7 321 | 7 360 | -39 | 5 975 | 1 346 | 6 065 | 1 295 | 6 | 6,1 | -0,1 | -318 | 247 | -565 | — | — | — | -0,2 | 0,3 | -0,5 | — | — | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 8f0f98cd26cb16c0 |
| 2017-10-01 | USA | 7 772 | 6 889 | 883 | 6 344 | 1 428 | 5 593 | 1 296 | 6,4 | 5,7 | 0,7 | 451 | -471 | 922 | — | — | — | 0,4 | -0,4 | 0,8 | — | — | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 361681f151db7bca |
| 2018-01-01 | USA | 7 494 | 6 811 | 683 | 6 135 | 1 359 | 5 616 | 1 195 | 6,1 | 5,5 | 0,6 | -278 | -78 | -200 | 60 | 28 | 32 | -0,3 | -0,2 | -0,1 | 0 | -0,1 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 96e58a2e9eb53a4d |
| 2018-04-01 | USA | 7 688 | 7 190 | 498 | 6 286 | 1 402 | 5 907 | 1 283 | 6,2 | 5,8 | 0,4 | 194 | 379 | -185 | 49 | 77 | -28 | 0,1 | 0,3 | -0,2 | 0 | 0 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 598e18abee5367c5 |
| 2018-07-01 | USA | 7 485 | 7 399 | 86 | 6 113 | 1 372 | 6 083 | 1 316 | 6 | 6 | 0 | -203 | 209 | -412 | 164 | 39 | 125 | -0,2 | 0,2 | -0,4 | 0 | -0,1 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 0ecf0819cec7cc06 |
| 2018-10-01 | USA | 7 719 | 6 996 | 723 | 6 283 | 1 436 | 5 665 | 1 331 | 6,2 | 5,6 | 0,6 | 234 | -403 | 637 | -53 | 107 | -160 | 0,2 | -0,4 | 0,6 | -0,2 | -0,1 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 1959aae958c4226d |
| 2019-01-01 | USA | 7 453 | 6 981 | 472 | 6 088 | 1 365 | 5 727 | 1 254 | 5,9 | 5,6 | 0,3 | -266 | -15 | -251 | -41 | 170 | -211 | -0,3 | 0 | -0,3 | -0,2 | 0,1 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 74662678604ecf21 |
| 2019-04-01 | USA | 7 654 | 7 395 | 259 | 6 267 | 1 387 | 6 039 | 1 356 | 6,1 | 5,9 | 0,2 | 201 | 414 | -213 | -34 | 205 | -239 | 0,2 | 0,3 | -0,1 | -0,1 | 0,1 | https://www.bls.gov/bed/ | BDS0000000000000000110001LQ5;BDS0000000000000000110001RQ5;BDS0000000000000000110002LQ5;BDS0000000000000000110003LQ5;BDS0000000000000000110004LQ5;BDS0000000000000000110004RQ5;BDS0000000000000000110005LQ5;BDS0000000000000000110006LQ5 | 1c298d204918e5cd |
Profilé le 28 sept. 2026 à partir de l’instantané 20260928T001052Z-9452257c972e
Mesuré- Complétude
- 97,2 %
- Lignes
- 36
- Colonnes
- 26
- Colonnes incomplètes
- 11
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| quartervarchar | 0 % | 37 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| gains_kdouble | 0 % | 30 | 5 731 → 10 853médiane 7 734 | 2 hors du 1er–99e centile |
| losses_kdouble | 0 % | 41 | 6 556 → 20 210médiane 7 279 | 2 hors du 1er–99e centile |
| net_kdouble | 0 % | 33 | -14 479 → 4 023médiane 493 | 2 hors du 1er–99e centile |
| expansions_kdouble | 0 % | 33 | 4 439 → 8 805médiane 6 256 | 2 hors du 1er–99e centile |
| openings_kdouble | 0 % | 33 | 1 292 → 2 048médiane 1 558 | 2 hors du 1er–99e centile |
| contractions_kdouble | 0 % | 35 | 5 340 → 17 291médiane 5 940 | 2 hors du 1er–99e centile |
| closings_kdouble | 0 % | 35 | 1 151 → 2 919médiane 1 398 | 2 hors du 1er–99e centile |
| gain_rate_pctdouble | 0 % | 17 | 4,8 → 9,4médiane 6,1 | 2 hors du 1er–99e centile |
| loss_rate_pctdouble | 0 % | 11 | 5,4 → 16,8médiane 5,8 | 1 hors du 1er–99e centile |
| net_rate_ppdouble | 0 % | 29 | -12 → 3,5médiane 0,4 | 2 hors du 1er–99e centile |
| gains_qoq_kdouble | 2,8 % | 37 | -2 068 → 5 122médiane -109 | 2 hors du 1er–99e centile |
| losses_qoq_kdouble | 2,8 % | 34 | -13 380 → 12 315médiane -67 | 2 hors du 1er–99e centile |
| net_qoq_kdouble | 2,8 % | 36 | -13 618 → 18 502médiane -187 | 2 hors du 1er–99e centile |
| gains_yoy_kdouble | 11,1 % | 36 | -1 985 → 3 468médiane -47 | 2 hors du 1er–99e centile |
| losses_yoy_kdouble | 11,1 % | 30 | -13 004 → 12 815médiane 47 | 2 hors du 1er–99e centile |
| net_yoy_kdouble | 11,1 % | 35 | -14 738 → 15 477médiane -142,5 | 2 hors du 1er–99e centile |
| gain_rate_qoq_ppdouble | 2,8 % | 23 | -2 → 4,6médiane -0,1 | 2 hors du 1er–99e centile |
| loss_rate_qoq_ppdouble | 2,8 % | 19 | -10,9 → 10,5médiane -0,1 | 2 hors du 1er–99e centile |
| net_rate_qoq_ppdouble | 2,8 % | 32 | -11,2 → 15,5médiane -0,1 | 2 hors du 1er–99e centile |
| gain_rate_yoy_ppdouble | 11,1 % | 19 | -2,1 → 3,5médiane -0,2 | 2 hors du 1er–99e centile |
| loss_rate_yoy_ppdouble | 11,1 % | 15 | -10,9 → 10,9médiane 0 | 2 hors du 1er–99e centile |
| source_urlvarchar | 0 % | 1 | — |
|
| bls_series_idsvarchar | 0 % | 1 | — |
|
| row_hashvarchar | 0 % | 35 | — |
|
- Actuelle
20260928T001052Z-9452257c972e · sha256 9452257c972e…
36 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_bed_flows_intel/us_bed_job_flows_quarterly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_bed_flows_intel/us_bed_job_flows_quarterly").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_bed_flows_intel/us_bed_job_flows_quarterly
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 20260928T001052Z-9452257c972e et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
U.S. Bureau of Labor Statistics. (2026). US business job flows: gross gains & losses (quarterly) [Data set, snapshot 20260928T001052Z-9452257c972e, sha256 9452257c972e]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/fr/datasets/bls_bed_flows_intel/us_bed_job_flows_quarterly?snapshot=20260928T001052Z-9452257c972e
BibTeX
@misc{dz_bls_bed_flows_intel_us_bed_job_flows_qua_9452257c,
title = {{US business job flows: gross gains \& losses (quarterly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_bed_flows_intel/us_bed_job_flows_quarterly?snapshot=20260928T001052Z-9452257c972e}},
note = {Snapshot 20260928T001052Z-9452257c972e, sha256 9452257c972e5b0e9073d480aedf89e745b491f8a3ac4c2680aeb2e54cac9c0f; accessed 2026-09-28}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=bls_bed_flows_intel%2Fus_bed_job_flows_quarterly&lang=fr&theme=auto&snapshot=20260928T001052Z-9452257c972e&x=quarter&y=gains_k&agg=avg" title="US business job flows: gross gains & losses (quarterly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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