US industry-mix employment intelligence (monthly)
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Monthly US industry-mix employment intelligence from the BLS Current Employment Statistics national program (keyless BLS Public Data API v2): seasonally adjusted employment for the 11 CES supersectors with shares of total nonfarm, YoY / MoM / 3-month-annualized growth, additive percentage-point contributions that exactly decompose national job growth by industry, a documented 0-100 industry-momentum score with per-month ranks and tiers, expanding / contracting / rapid-growth / 12-month-record-high / top-driver / biggest-drag flags, and month-level context (national headline, goods-vs-services growth gap, industry breadth, industry spread). Consistent methodology window 2017-01 onward. Caveats: the latest month is preliminary and routinely revised; estimates are benchmark-revised annually. BLS material is public domain (commercial reuse allowed); source: U.S. Bureau of Labor Statistics.
- Rows
- 1,276
- Columns
- 32
- Source cadence
- Monthly
- Last refreshed
- Sep 27, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| month | string | Reference month: first day of the month, ISO date. The panel covers the consistent methodology window 2017-01 onward (the 2016 fetch year supplies the 12-month lags). (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| supersector_code | string | CES 2-digit supersector code (10 = mining & logging, 20 = construction, 30 = manufacturing, 40 = trade / transportation / utilities, 50 = information, 55 = financial activities, 60 = professional & business services, 65 = private education & health services, 70 = leisure & hospitality, 80 = other services, 90 = government). Primary join key with month. |
| supersector_name | string | Official BLS CES supersector name. |
| emp_sa_k | float | Published seasonally adjusted supersector employment, all employees, kept verbatim as published. (unit: thousands of jobs) |
| share_pct | float | Supersector share of total nonfarm employment that month; the 11 shares sum to 100 (identity-gated). (unit: percent) |
| emp_yoy_pct | float | Year-over-year percent change of seasonally adjusted employment. (unit: percent) |
| emp_mom_pct | float | Month-over-month percent change of seasonally adjusted employment. (unit: percent) |
| emp_3m_ann_pct | float | 3-month annualized growth: ((lvl_t / lvl_{t-3}) ** 4 - 1) * 100. (unit: percent) |
| chg_12m_k | float | 12-month level change of seasonally adjusted employment. (unit: thousands of jobs) |
| contribution_pp | float | Additive contribution to national job growth: chg_12m_k / total_{t-12} * 100. The 11 contributions sum to the total YoY percent change (identity-gated within 0.05 pp). (unit: percentage points) |
| industry_momentum_score | float | Documented 0-100 composite: 100 * (0.50 * min-max(winsorized emp_yoy_pct, +/-8) + 0.50 * min-max(winsorized contribution_pp, +/-1.5)), min-maxed within each month across the 11 supersectors. Higher = the industry is driving this month's job growth versus peer industries. (unit: 0-100 score) |
| momentum_rank | integer | Per-month rank of industry_momentum_score across the 11 supersectors (1 = hottest). (unit: rank) |
| momentum_tier | string | Quartile bucket of industry_momentum_score within the month: t1 (>=75, hottest) .. t4 (<25). (unit: tier) |
| expanding_flag | integer | 1 when emp_yoy_pct is positive. (unit: binary) |
| contracting_flag | integer | 1 when emp_yoy_pct is negative (employment shrinking year-over-year). (unit: binary) |
| rapid_growth_flag | integer | 1 when emp_yoy_pct >= 3.0 (a hot industry labor market). (unit: binary) |
| record_high_12m_flag | integer | 1 when employment equals the trailing-12-month maximum (inclusive, minimum 12 observations). (unit: binary) |
| top_driver_flag | integer | 1 for the supersector with the largest contribution_pp that month. (unit: binary) |
| biggest_drag_flag | integer | 1 for the supersector with the smallest contribution_pp that month. (unit: binary) |
| total_emp_sa_k | float | Month-level context: published national total-nonfarm employment, seasonally adjusted (series CES0000000001). (unit: thousands of jobs) |
| total_yoy_pct | float | Month-level context: YoY percent change of national total-nonfarm employment. (unit: percent) |
| goods_yoy_pct | float | Month-level context: YoY percent change of goods-producing employment (mining & logging + construction + manufacturing). (unit: percent) |
| services_yoy_pct | float | Month-level context: YoY percent change of private services employment (the seven private-services supersectors). (unit: percent) |
| goods_minus_services_pp | float | Month-level context: goods_yoy_pct minus services_yoy_pct, in percentage points. Positive = goods-producing industries outrun services. (unit: pp) |
| n_growing | integer | Month-level context: how many of the 11 supersectors grew year-over-year (0-11) — the breadth count. (unit: count) |
| breadth_pct | float | Month-level context: 100 * n_growing / 11 — the industry breadth gauge. (unit: percent) |
| top_driver_name | string | Month-level context: supersector name behind top_driver_flag that month. |
| biggest_drag_name | string | Month-level context: supersector name behind biggest_drag_flag that month. |
| industry_spread_pp | float | Month-level context: max minus min supersector emp_yoy_pct that month — the industry divergence gauge. (unit: pp) |
| bls_series_id | string | BLS series id behind the row (CES<ii>00000001). |
| row_hash | string | Deterministic 16-hex row hash of supersector_code + month (idempotency). |
First 10 sample rows — a preview, not the complete dataset.
| month | country_code | supersector_code | supersector_name | emp_sa_k | share_pct | emp_yoy_pct | emp_mom_pct | emp_3m_ann_pct | chg_12m_k | contribution_pp | industry_momentum_score | momentum_rank | momentum_tier | expanding_flag | contracting_flag | rapid_growth_flag | record_high_12m_flag | top_driver_flag | biggest_drag_flag | total_emp_sa_k | total_yoy_pct | goods_yoy_pct | services_yoy_pct | goods_minus_services_pp | n_growing | breadth_pct | top_driver_name | biggest_drag_name | industry_spread_pp | bls_series_id | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-01-01 | USA | 10 | Mining and logging | 647 | 0.444 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES1000000001 | 86383ac712907b9a |
| 2017-01-01 | USA | 20 | Construction | 6,840 | 4.697 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES2000000001 | ef05dbccf57ab628 |
| 2017-01-01 | USA | 30 | Manufacturing | 12,334 | 8.47 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES3000000001 | b0fa131398fd86e0 |
| 2017-01-01 | USA | 40 | Trade, transportation, and utilities | 27,314 | 18.756 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES4000000001 | 6ae9a3851fafbf73 |
| 2017-01-01 | USA | 50 | Information | 2,821 | 1.937 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES5000000001 | 81dc0c973a74c1e5 |
| 2017-01-01 | USA | 55 | Financial activities | 8,397 | 5.766 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES5500000001 | d8b51027d4b2d2ae |
| 2017-01-01 | USA | 60 | Professional and business services | 20,415 | 14.019 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES6000000001 | f5d205d9e5b15eb5 |
| 2017-01-01 | USA | 65 | Private education and health services | 22,941 | 15.753 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES6500000001 | 5e82c8185989dec7 |
| 2017-01-01 | USA | 70 | Leisure and hospitality | 15,874 | 10.9 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES7000000001 | 4218c12170f418bb |
| 2017-01-01 | USA | 80 | Other services | 5,729 | 3.934 | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | 0 | 145,628 | — | — | — | — | 0 | 0 | — | — | — | CES8000000001 | e79cff4053fa3eee |
- Current
20260927T154520Z-3193daa54503 · sha256 3193daa54503…
1,276 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_industry_mix_intel/us_industry_employment_mix_monthly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_industry_mix_intel/us_industry_employment_mix_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)API endpoint: https://datazimuts.com/v1/datasets/bls_industry_mix_intel/us_industry_employment_mix_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
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Pinned to snapshot 20260927T154520Z-3193daa54503 and its content hash, so readers get exactly the data you used.
APA
U.S. Bureau of Labor Statistics. (2026). US industry-mix employment intelligence (monthly) [Data set, snapshot 20260927T154520Z-3193daa54503, sha256 3193daa54503]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/bls_industry_mix_intel/us_industry_employment_mix_monthly?snapshot=20260927T154520Z-3193daa54503
BibTeX
@misc{dz_bls_industry_mix_intel_us_industry_emplo_3193daa5,
title = {{US industry-mix employment intelligence (monthly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/bls_industry_mix_intel/us_industry_employment_mix_monthly?snapshot=20260927T154520Z-3193daa54503}},
note = {Snapshot 20260927T154520Z-3193daa54503, sha256 3193daa54503e3562982458494789602be752527a9d7ca5b46aa055dd92d399c; accessed 2026-09-27}
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