US business job flows: gross gains & losses (quarterly)
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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.
- Rows
- 36
- Columns
- 26
- Source cadence
- Quarterly
- Last refreshed
- Sep 28, 2026
- Theme
- labor
| Column | 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). |
First 10 sample rows — a preview, not the complete dataset.
| 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 |
Profiled Sep 28, 2026 from snapshot 20260928T001052Z-9452257c972e
Measured- Completeness
- 97.2%
- Rows
- 36
- Columns
- 26
- Columns with gaps
- 11
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| quartervarchar | 0% | 37 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| gains_kdouble | 0% | 30 | 5,731 → 10,853median 7,734 | 2 outside 1st–99th percentile |
| losses_kdouble | 0% | 41 | 6,556 → 20,210median 7,279 | 2 outside 1st–99th percentile |
| net_kdouble | 0% | 33 | -14,479 → 4,023median 493 | 2 outside 1st–99th percentile |
| expansions_kdouble | 0% | 33 | 4,439 → 8,805median 6,256 | 2 outside 1st–99th percentile |
| openings_kdouble | 0% | 33 | 1,292 → 2,048median 1,558 | 2 outside 1st–99th percentile |
| contractions_kdouble | 0% | 35 | 5,340 → 17,291median 5,940 | 2 outside 1st–99th percentile |
| closings_kdouble | 0% | 35 | 1,151 → 2,919median 1,398 | 2 outside 1st–99th percentile |
| gain_rate_pctdouble | 0% | 17 | 4.8 → 9.4median 6.1 | 2 outside 1st–99th percentile |
| loss_rate_pctdouble | 0% | 11 | 5.4 → 16.8median 5.8 | 1 outside 1st–99th percentile |
| net_rate_ppdouble | 0% | 29 | -12 → 3.5median 0.4 | 2 outside 1st–99th percentile |
| gains_qoq_kdouble | 2.8% | 37 | -2,068 → 5,122median -109 | 2 outside 1st–99th percentile |
| losses_qoq_kdouble | 2.8% | 34 | -13,380 → 12,315median -67 | 2 outside 1st–99th percentile |
| net_qoq_kdouble | 2.8% | 36 | -13,618 → 18,502median -187 | 2 outside 1st–99th percentile |
| gains_yoy_kdouble | 11.1% | 36 | -1,985 → 3,468median -47 | 2 outside 1st–99th percentile |
| losses_yoy_kdouble | 11.1% | 30 | -13,004 → 12,815median 47 | 2 outside 1st–99th percentile |
| net_yoy_kdouble | 11.1% | 35 | -14,738 → 15,477median -142.5 | 2 outside 1st–99th percentile |
| gain_rate_qoq_ppdouble | 2.8% | 23 | -2 → 4.6median -0.1 | 2 outside 1st–99th percentile |
| loss_rate_qoq_ppdouble | 2.8% | 19 | -10.9 → 10.5median -0.1 | 2 outside 1st–99th percentile |
| net_rate_qoq_ppdouble | 2.8% | 32 | -11.2 → 15.5median -0.1 | 2 outside 1st–99th percentile |
| gain_rate_yoy_ppdouble | 11.1% | 19 | -2.1 → 3.5median -0.2 | 2 outside 1st–99th percentile |
| loss_rate_yoy_ppdouble | 11.1% | 15 | -10.9 → 10.9median 0 | 2 outside 1st–99th percentile |
| source_urlvarchar | 0% | 1 | — |
|
| bls_series_idsvarchar | 0% | 1 | — |
|
| row_hashvarchar | 0% | 35 | — |
|
- Current
20260928T001052Z-9452257c972e · sha256 9452257c972e…
36 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/bls_bed_flows_intel/us_bed_job_flows_quarterly
Tip: fetch /llms.txt for the full machine-readable catalog.
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Cite this snapshot
Pinned to snapshot 20260928T001052Z-9452257c972e and its content hash, so readers get exactly the data you used.
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/en/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/en/datasets/bls_bed_flows_intel/us_bed_job_flows_quarterly?snapshot=20260928T001052Z-9452257c972e}},
note = {Snapshot 20260928T001052Z-9452257c972e, sha256 9452257c972e5b0e9073d480aedf89e745b491f8a3ac4c2680aeb2e54cac9c0f; accessed 2026-09-28}
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