Monthly US industrial-cycle breadth gauges from the Federal Reserve G.17 release: computed diffusion indexes over 21 industries (share expanding, 1-month/3-month/12-month), the Fed's official Table 6 diffusion indexes for cross-check, median industry momentum, headline IP and capacity-utilization context, and a documented breadth regime (broad/narrow expansion, mixed, narrow/broad contraction). From 1972-01, the first month all industries report. US federal public domain (commercial reuse allowed); source: Board of Governors of the Federal Reserve System.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: Federal Reserve G.17 US industrial-production industry breadth intelligence
Lignes: 656
Colonnes: 20
Cadence de la source: Mensuelle
Dernière actualisation: 27 sept. 2026
Thème: economy

Colonne	Type	Description
month	string	Reference month, first day of month (ISO date).
country_code	string	ISO alpha-3 country code (USA for all rows).
as_of	string	Last complete month in the snapshot (pinned for idempotent re-runs).
n_industries	integer	Leaf industries in the breadth set (21).
diffusion_1m_pct	float	Share of the 21 leaf industries with ip_mom_pct > 0 (own computation). (unit: percent)
diffusion_3m_pct	float	Share of the 21 leaf industries with ip_3m_ann_pct > 0 (own computation); drives breadth_regime. (unit: percent)
diffusion_yoy_pct	float	Share of the 21 leaf industries with ip_yoy_pct > 0 (own computation). (unit: percent)
official_diffusion_1m	float	Fed's official Table 6 diffusion index, 1-month (50 = neutral). Null for the latest month: Table 6 runs one month behind Table 4 (2026-07 vs 2026-08 at collection). (unit: index)
official_diffusion_3m	float	Fed's official Table 6 diffusion index, 3-month (50 = neutral). (unit: index)
official_diffusion_6m	float	Fed's official Table 6 diffusion index, 6-month (50 = neutral). (unit: index)
median_mom_pct	float	Median ip_mom_pct across the 21 leaf industries. (unit: percent)
median_3m_ann_pct	float	Median ip_3m_ann_pct across the 21 leaf industries. (unit: percent)
median_yoy_pct	float	Median ip_yoy_pct across the 21 leaf industries. (unit: percent)
headline_ip_mom_pct	float	Month-on-month percent change of the headline total IP index. (unit: percent)
headline_ip_3m_ann_pct	float	3-month annualized percent change of the headline total IP index. (unit: percent)
headline_cu_pct	float	Headline total-industry capacity utilization rate. (unit: percent)
mfg_cu_pct	float	Manufacturing capacity utilization rate. (unit: percent)
breadth_regime	string	Industrial-breadth regime from diffusion_3m_pct: broad expansion (>=65) / narrow expansion (>=50) / mixed (>=35) / narrow contraction (>=20) / broad contraction (<20).
row_hash	string	SHA-256 (truncated) of the row's content fields.
source_retrieved	string	Source data vintage: latest reference month present in the retrieved packages (content-pinned so identical re-fetches hash identically).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

month	country_code	as_of	n_industries	diffusion_1m_pct	diffusion_3m_pct	diffusion_yoy_pct	official_diffusion_1m	official_diffusion_3m	official_diffusion_6m	median_mom_pct	median_3m_ann_pct	median_yoy_pct	headline_ip_mom_pct	headline_ip_3m_ann_pct	headline_cu_pct	mfg_cu_pct	breadth_regime	row_hash	source_retrieved
1972-01-01	USA	2026-08-01	21	100	50	50	70,763	71,61	72,881	1,102	26,437	0,665	2,391	17,041	82,694	81,326	narrow expansion	2dcbd7924d7c0366	2026-08-01
1972-02-01	USA	2026-08-01	21	66,7	100	50	60,638	—	—	0,653	25,984	3,733	1,009	19,792	83,33	81,733	broad expansion	663e8868e1a71283	2026-08-01
1972-03-01	USA	2026-08-01	21	81	100	50	64,184	—	—	0,376	15,817	3,707	0,692	17,614	83,703	82,064	broad expansion	c97bbdd26f545527	2026-08-01
1972-04-01	USA	2026-08-01	21	76,2	90,5	100	66,667	70,213	—	1,034	6,343	3,755	1,001	11,355	84,332	82,792	broad expansion	0ee022b54eee5c49	2026-08-01
1972-05-01	USA	2026-08-01	21	57,1	76,2	50	52,482	68,085	—	0,136	6,774	2,325	0,014	7,031	84,132	82,728	broad expansion	43dde520709bd470	2026-08-01
1972-06-01	USA	2026-08-01	21	57,1	71,4	100	56,028	62,766	—	0,389	2,948	1,754	0,265	5,228	84,14	82,759	broad expansion	c934995d4b52549b	2026-08-01
1972-07-01	USA	2026-08-01	21	47,6	57,1	100	49,291	54,255	63,83	-0,024	2,399	3,05	-0,112	0,668	83,827	82,514	narrow expansion	f81e75ae9cc607fa	2026-08-01
1972-08-01	USA	2026-08-01	21	90,5	85,7	100	69,858	65,957	70,922	0,857	6,297	4,073	1,393	6,338	84,766	83,401	broad expansion	40e9d16ec6441f16	2026-08-01
1972-09-01	USA	2026-08-01	21	81	90,5	100	58,156	66,667	71,277	0,712	6,796	4,808	0,798	8,618	85,204	83,784	broad expansion	6cd289d98c326c15	2026-08-01
1972-10-01	USA	2026-08-01	21	90,5	100	100	67,731	75,177	71,986	1,52	12,464	9,098	1,27	14,755	86,036	84,787	broad expansion	15f276949e08cde9	2026-08-01

27 sept. 2026Actuelle
20260927T142450Z-b9bdace6e852 · sha256 b9bdace6e852…
656 lignes · +0 lignes par rapport à la précédente
27 sept. 2026
20260927T142208Z-b9bdace6e852 · sha256 b9bdace6e852…
656 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/fed_g17_industry_breadth_intel/us_ip_breadth_gauges_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fed_g17_industry_breadth_intel/us_ip_breadth_gauges_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/fed_g17_industry_breadth_intel/us_ip_breadth_gauges_monthly

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

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APA

Federal Reserve G.17 US industrial-production industry breadth intelligence. (2026). US industrial-production breadth gauges (monthly) [Data set, snapshot 20260927T142450Z-b9bdace6e852, sha256 b9bdace6e852]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/fed_g17_industry_breadth_intel/us_ip_breadth_gauges_monthly?snapshot=20260927T142450Z-b9bdace6e852

BibTeX

@misc{dz_fed_g17_industry_breadth_intel_us_ip_bre_b9bdace6,
  title        = {{US industrial-production breadth gauges (monthly)}},
  author       = {{Federal Reserve G.17 US industrial-production industry breadth intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/fed_g17_industry_breadth_intel/us_ip_breadth_gauges_monthly?snapshot=20260927T142450Z-b9bdace6e852}},
  note         = {Snapshot 20260927T142450Z-b9bdace6e852, sha256 b9bdace6e852656ae5ce20d6c19246dad2e546c4c0fefc8515889b7f2b02cf55; accessed 2026-09-27}
}

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