US industry compensation-cost momentum (quarterly)
Quarterly Employment Cost Index for total compensation (wages + benefits), private-industry workers, seasonally adjusted, index Dec 2005=100 — total private plus 11 industries (construction, manufacturing, wholesale/retail trade, information, financial activities, professional & business services, education, health care, accommodation & food, other services) — enriched into a join-ready labor-cost panel: QoQ and YoY growth, YoY acceleration in percentage points, percentile-of-own-trailing-20-quarter-history growth and level scores, a documented 0-100 compensation-cost pressure index (0.6 growth / 0.4 level) with booming/strong/steady/soft/stalled bands, surge/cooling/record-high/preliminary flags, and the total-private benchmark broadcast on every row. Source: U.S. Bureau of Labor Statistics via the keyless Public Data API v2; federal public-domain data, safe for commercial use with attribution. ECI is the fixed-weight price-of-labor gauge (the Fed's preferred wage measure); the latest quarter is preliminary — BLS revises ECI. Who joins this: a sales team (staffing, HR-tech, benefits, payroll, B2B services) joins (quarter, industry_code) to account prioritization — industries with accelerating total compensation costs are hiring and spending on talent; a B2B subscription business joins it to labor-cost-regime timing; an online shop joins it to pass-through / pricing expectations by sector.
- Rows
- 1,128
- Columns
- 20
- Source cadence
- Quarterly
- Last refreshed
- Sep 30, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| quarter | string | ISO date of the quarter's first day. (unit: date) |
| industry_code | string | Machine code for the industry (total_private + 11 industries). |
| industry_name | string | Industry name. |
| country_code | string | ISO alpha-3 country code (USA). |
| country_name | string | Country name. |
| eci_idx | float | Employment Cost Index for total compensation, private-industry workers, seasonally adjusted, Dec 2005=100 (BLS ECI). (unit: index) |
| comp_qoq_pct | float | Quarter-over-quarter growth of eci_idx, percent. (unit: percent) |
| comp_yoy_pct | float | Year-over-year growth of eci_idx, percent. (unit: percent) |
| comp_yoy_accel_pp | float | Change in comp_yoy_pct vs the year-ago quarter, percentage points. (unit: percentage points) |
| growth_score | float | Percentile rank of comp_yoy_pct in the industry's own trailing-20-quarter history, 0-100. |
| level_score | float | Percentile rank of eci_idx in the industry's own trailing-20-quarter history, 0-100. |
| compcost_pressure_index | float | Composite 0-100: 0.6 * growth_score + 0.4 * level_score. |
| intensity_band | string | booming (>=90) / strong (>=75) / steady (>=50) / soft (>=25) / stalled from the index; insufficient-history when history < 8 quarters. |
| surge | boolean | True when compcost_pressure_index >= 70 and YoY acceleration is positive. |
| cooling | boolean | True when compcost_pressure_index <= 30. |
| record_high_4q | boolean | True when eci_idx is the trailing-4-quarter maximum. |
| preliminary | boolean | True for the latest quarter in the panel (BLS revises ECI). |
| private_eci_idx | float | Total-private ECI total-compensation benchmark, index Dec 2005=100, broadcast on every row. (unit: index) |
| private_eci_yoy_pct | float | Year-over-year growth of the total-private benchmark, percent. (unit: percent) |
| row_hash | string | Deterministic sha256 row identity (first 16 hex chars). |
First 10 sample rows — a preview, not the complete dataset.
| quarter | industry_code | industry_name | country_code | country_name | eci_idx | comp_qoq_pct | comp_yoy_pct | comp_yoy_accel_pp | growth_score | level_score | compcost_pressure_index | intensity_band | surge | cooling | record_high_4q | preliminary | private_eci_idx | private_eci_yoy_pct | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-01-01 | accommodation_food | Accommodation and food services | USA | United States | 94.7 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | 571e9ea50a0d2090 |
| 2003-01-01 | construction | Construction | USA | United States | 91 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | df75c182e43cb189 |
| 2003-01-01 | education_services | Education services | USA | United States | 90.3 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | 6f80c3f40b268d80 |
| 2003-01-01 | financial_activities | Financial activities | USA | United States | 92.5 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | 7efd65329ea70b70 |
| 2003-01-01 | health_care_social | Health care and social assistance | USA | United States | 90.7 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | 9ab8e4de0db088e5 |
| 2003-01-01 | information | Information | USA | United States | 91.9 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | 329c01b06f036259 |
| 2003-01-01 | manufacturing | Manufacturing | USA | United States | 90.6 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | a78e58d37ec1a988 |
| 2003-01-01 | other_services | Other services | USA | United States | 90.8 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | d024984b37288456 |
| 2003-01-01 | prof_business_services | Professional and business services | USA | United States | 92.1 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | a398edb2d0de0af0 |
| 2003-01-01 | retail_trade | Retail trade | USA | United States | 87.9 | — | — | — | — | — | — | insufficient-history | false | false | true | false | 91.4 | — | c153e0fdc6c486d6 |
Profiled Oct 1, 2026 from snapshot 20260930T213755Z-08d99c89ff5e
Measured- Completeness
- 97.6%
- Rows
- 1,128
- Columns
- 20
- Columns with gaps
- 7
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| quartervarchar | 0% | 97 | — |
|
| industry_codevarchar | 0% | 13 | — |
|
| industry_namevarchar | 0% | 13 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| country_namevarchar | 0% | 1 | — |
|
| eci_idxdouble | 0% | 601 | 87.9 → 190.6median 122.95 | 24 outside 1st–99th percentile |
| comp_qoq_pctdouble | 1.1% | 225 | -7.47 → 7.06median 0.68 | 24 outside 1st–99th percentile |
| comp_yoy_pctdouble | 4.3% | 398 | -4.72 → 10.65median 2.8 | 22 outside 1st–99th percentile |
| comp_yoy_accel_ppdouble | 8.5% | 391 | -15.37 → 8.15median 0.03 | 22 outside 1st–99th percentile |
| growth_scoredouble | 11.7% | 91 | 2.5 → 97.5median 53.1 | |
| level_scoredouble | 7.4% | 23 | 72.5 → 97.5median 97.5 | 4 outside 1st–99th percentile |
| compcost_pressure_indexdouble | 11.7% | 113 | 30.5 → 97.5median 70.9 | 10 outside 1st–99th percentile |
| intensity_bandvarchar | 0% | 5 | — |
|
| surgeboolean | 0% | 2 | — |
|
| coolingboolean | 0% | 1 | — |
|
| record_high_4qboolean | 0% | 2 | — |
|
| preliminaryboolean | 0% | 2 | — |
|
| private_eci_idxdouble | 0% | 81 | 91.4 → 176.5median 122.05 | 24 outside 1st–99th percentile |
| private_eci_yoy_pctdouble | 4.3% | 82 | 1.19 → 5.48median 2.8 | |
| row_hashvarchar | 0% | 1,163 | — |
|
- Current
20260930T213755Z-08d99c89ff5e · sha256 08d99c89ff5e…
1,128 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/us_eci_compcost_intel/us_eci_compcost_quarterly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/us_eci_compcost_intel/us_eci_compcost_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/us_eci_compcost_intel/us_eci_compcost_quarterly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260930T213755Z-08d99c89ff5e and its content hash, so readers get exactly the data you used.
. (2026). US industry compensation-cost momentum (quarterly) [Data set, snapshot 20260930T213755Z-08d99c89ff5e, sha256 08d99c89ff5e]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/us_eci_compcost_intel/us_eci_compcost_quarterly?snapshot=20260930T213755Z-08d99c89ff5e
@misc{dz_us_eci_compcost_intel_us_eci_compcost_qu_08d99c89,
title = {{US industry compensation-cost momentum (quarterly)}},
author = {{}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/us_eci_compcost_intel/us_eci_compcost_quarterly?snapshot=20260930T213755Z-08d99c89ff5e}},
note = {Snapshot 20260930T213755Z-08d99c89ff5e, sha256 08d99c89ff5e817866852a82b2fc3af207dc66f7cf225d4d3946c6dd1734c8d5; accessed 2026-10-01}
}Embed a table or a chart
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