Global supply-chain pressure intelligence (monthly)
Monthly global supply-chain pressure intelligence, 1998-01 onward: the NY Fed Global Supply Chain Pressure Index (GSCPI, standard deviations from its historical mean; keyless FRBNY workbook download) with documented pressure tiers (deep_slack/slack/normal/elevated/high/extreme), a 0-100 normal-CDF pressure score, 1- and 12-month changes, trailing-36-month percentile rank and record flags, signed above/below-average streaks, and surge/easing flags. Method caveats: the workbook is an OLE2 .xls despite its .xlsx URL (magic-sniffed); any in-window gap or null fails loudly, never imputed. One row per month x World (WLD); join on year_month. Who joins this: online shops use pressure_tier/surge_flag as inventory-cost and stock-out risk features; subscription businesses use the 0-100 score as a margin-pressure covariate; sales teams time pipeline on streak_months/easing_flag.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 344
- Colonnes
- 16
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month_start | date | First day of the calendar month (panel grain). |
| year_month | string | Calendar month as YYYY-MM (panel join key). |
| country | string | Canonical aggregate name (World) for every row. |
| country_code | string | WLD aggregate code — the GSCPI is global by construction; join on year_month (date-only join). |
| gscpi_std | float | Global Supply Chain Pressure Index, standard deviations from its historical mean (verbatim FRBNY print; positive = above-average pressure). |
| pressure_tier | string | Documented band: deep_slack (<= -1.0), slack (-1.0, -0.25], normal (-0.25, 0.25), elevated [0.25, 1.0), high [1.0, 2.0), extreme (>= 2.0). |
| pressure_score_0_100 | float | 100 * Phi(gscpi_std) with Phi the standard normal CDF: monotone 0-100 rescaling (50 = historical mean). |
| mom_change | float | 1-month change in the index, native std-dev units (null for the first panel month). |
| yoy_change | float | 12-month change in the index, native std-dev units (null for the first panel year). |
| pct_rank_36m | float | Trailing-36-month percentile rank of the reading, 0-100 (min 24 observations; null until the window fills). |
| streak_months | integer | Signed run length of consecutive months on the same side of zero: positive = above-average pressure streak, negative = below-average pressure streak. |
| surge_flag | integer | 1 when gscpi_std >= 1.0 (one sigma above the mean — the historical disruption zone), else 0. |
| easing_flag | integer | 1 when mom_change <= -0.25 (a quarter-sigma one-month drop: pressure unwinding fast), else 0. |
| record_high_36m_flag | integer | 1 when the reading is the trailing-36-month maximum (min 24 observations). |
| record_low_36m_flag | integer | 1 when the reading is the trailing-36-month minimum (min 24 observations). |
| row_hash | string | Deterministic 16-hex sha256 of source + year_month + WLD + the index value (idempotency key). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month_start | year_month | country | country_code | gscpi_std | pressure_tier | pressure_score_0_100 | mom_change | yoy_change | pct_rank_36m | streak_months | surge_flag | easing_flag | record_high_36m_flag | record_low_36m_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1998-01-01 | 1998-01 | World | WLD | -1,16 | deep_slack | 12,301 | — | — | — | -1 | 0 | 0 | 0 | 0 | 8db28703c7844184 |
| 1998-02-01 | 1998-02 | World | WLD | -0,439 | slack | 33,027 | 0,721 | — | — | -2 | 0 | 0 | 0 | 0 | 50b12332b0077957 |
| 1998-03-01 | 1998-03 | World | WLD | -0,033 | normal | 48,69 | 0,406 | — | — | -3 | 0 | 0 | 0 | 0 | 0e2ea4b043be45ce |
| 1998-04-01 | 1998-04 | World | WLD | -0,09 | normal | 46,42 | -0,057 | — | — | -4 | 0 | 0 | 0 | 0 | 98a29929d4fb016e |
| 1998-05-01 | 1998-05 | World | WLD | -0,423 | slack | 33,625 | -0,333 | — | — | -5 | 0 | 1 | 0 | 0 | 8284b11121336367 |
| 1998-06-01 | 1998-06 | World | WLD | -0,764 | slack | 22,251 | -0,341 | — | — | -6 | 0 | 1 | 0 | 0 | 6b230e6a507130ef |
| 1998-07-01 | 1998-07 | World | WLD | -0,88 | slack | 18,956 | -0,116 | — | — | -7 | 0 | 0 | 0 | 0 | 2087974951c4e213 |
| 1998-08-01 | 1998-08 | World | WLD | -0,89 | slack | 18,669 | -0,011 | — | — | -8 | 0 | 0 | 0 | 0 | 238678bc0f018b8e |
| 1998-09-01 | 1998-09 | World | WLD | -0,917 | slack | 17,958 | -0,027 | — | — | -9 | 0 | 0 | 0 | 0 | fa14df457db805f7 |
| 1998-10-01 | 1998-10 | World | WLD | -0,639 | slack | 26,132 | 0,278 | — | — | -10 | 0 | 0 | 0 | 0 | a6f79a042d10b0d6 |
Profilé le 1 oct. 2026 à partir de l’instantané 20260930T232925Z-fa511be5d185
Mesuré- Complétude
- 99,3 %
- Lignes
- 344
- Colonnes
- 16
- Colonnes incomplètes
- 3
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| month_startdate | 0 % | 332 | 1 janv. 1998 → 1 août 2026 | — |
| year_monthvarchar | 0 % | 341 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| gscpi_stddouble | 0 % | 369 | -1,59 → 4,43médiane -0,2281 | 8 hors du 1er–99e centile |
| pressure_tiervarchar | 0 % | 6 | — |
|
| pressure_score_0_100double | 0 % | 324 | 5,58 → 100médiane 40,98 | 8 hors du 1er–99e centile |
| mom_changedouble | 0,29 % | 373 | -1,48 → 1,39médiane 0,0365 | 8 hors du 1er–99e centile |
| yoy_changedouble | 3,5 % | 295 | -4,85 → 3,81médiane 0,0858 | 8 hors du 1er–99e centile |
| pct_rank_36mdouble | 6,7 % | 48 | 2,78 → 100médiane 55,56 | 15 hors du 1er–99e centile |
| streak_monthsbigint | 0 % | 83 | -54 → 41médiane -3 | 8 hors du 1er–99e centile |
| surge_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| easing_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| record_high_36m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| record_low_36m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 389 | — |
|
- Actuelle
20260930T232925Z-fa511be5d185 · sha256 fa511be5d185…
344 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 "https://datazimuts.com/v1/datasets/nyfed_gscpi_supply_pressure_intel/global_supply_chain_pressure_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nyfed_gscpi_supply_pressure_intel/global_supply_chain_pressure_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/nyfed_gscpi_supply_pressure_intel/global_supply_chain_pressure_monthly
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.
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Épinglé à l’instantané 20260930T232925Z-fa511be5d185 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
NY Fed Global Supply Chain Pressure Index — supply-chain pressure intelligence. (2026). Global supply-chain pressure intelligence (monthly) [Data set, snapshot 20260930T232925Z-fa511be5d185, sha256 fa511be5d185]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/nyfed_gscpi_supply_pressure_intel/global_supply_chain_pressure_monthly?snapshot=20260930T232925Z-fa511be5d185
@misc{dz_nyfed_gscpi_supply_pressure_intel_global_fa511be5,
title = {{Global supply-chain pressure intelligence (monthly)}},
author = {{NY Fed Global Supply Chain Pressure Index — supply-chain pressure intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/nyfed_gscpi_supply_pressure_intel/global_supply_chain_pressure_monthly?snapshot=20260930T232925Z-fa511be5d185}},
note = {Snapshot 20260930T232925Z-fa511be5d185, sha256 fa511be5d185f0cb7f42087d974992b324905a018680d5c6e2d274b52f6e0ea4; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=nyfed_gscpi_supply_pressure_intel%2Fglobal_supply_chain_pressure_monthly&lang=fr&theme=auto&snapshot=20260930T232925Z-fa511be5d185&x=year_month&y=gscpi_std&agg=avg" title="Global supply-chain pressure intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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