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Trade and Shipping
Global supply chain pressure
91hotat an extreme
Now 1.28 standard deviations | Data for Sep 2026
Hot and cold describe position, not good or bad: warm does not mean a fall is coming, and an extreme reading does not mean a quick reversal. We describe history only, with no buy or sell advice.
050100Supply pressure
What it is
Supply pressure: what is measured, and why it matters
What it measures
An index compiled by the Federal Reserve Bank of New York from shipping costs, delivery times, order backlogs and other data. Zero is average.
Why it matters
When supply chains clog and freight costs rise, goods cost more; this is often an early sign of inflation.
Public substituteWe use this in place of “Baltic Dry Index (BDI)”. The BDI measures only freight rates for bulk ships carrying raw materials such as coal, iron ore and grain; the New York Fed’s Global Supply Chain Pressure Index combines the BDI, container ship charter rates, air freight costs and manufacturing surveys from many countries into one number. The BDI is one of its inputs, and the two often point the same way, but the numbers differ. They measure similar things, but they are not the same number.
Public substituteWe use this in place of “Container freight rates (SCFI, WCI)”. Container freight indices measure freight rates on individual container routes; the Global Supply Chain Pressure Index uses container ship charter rates and combines them with other shipping costs and manufacturing surveys into one number. Both reflect how tight shipping is, but their scope and numbers differ. They measure similar things, but they are not the same number.
0 = average; higher = tighter supply chains. The whole series is saved each month (past values may be revised).
Where it stands now
Position over time
20406080Now 91
2010201520202025
Data: Federal Reserve Bank of New York, Global Supply Chain Pressure Index (GSCPI). Positions: our calculation.
coldcoolneutralwarmhotHatched = earlier periods that were also hot
Short sample: positions start only in 2007 (less than 30 years), so conclusions should be more cautious.
When it was here before
Earlier hot periods (2), plus the current one
US stocks after it began, cumulative1 yr2 yr3 yr
Sep 2007–Jan 201253-month period, hot in 28 of those months · 2008 Financial crisis, 2009 Market bottom and 2011 Euro debt crisis1 yr−18.7%2 yr−30.2%3 yr−25.1%
Aug 2016–Jan 202378-month period, hot in 62 of those months · 2018 February stock sell-off, 2020 Covid outbreak and 2022 Inflation shock1 yr+13.1%2 yr+31.6%3 yr+33.5%
Dec 2025–now10-month period, hot throughoutStill under way
For each period, the changes 1, 2 and 3 years after it began are cumulative and measured from its first month; “What happened next” is measured from every hot month, so the two give different numbers. The events named beside each period are major events of that time, not necessarily related to the readings here.
What happened nextSample too small to draw conclusions (past hot months: 90; market episodes: 2).
Has hot or cold lined up with later returns?
No clear link in the past
2007–2021: average yearly change in US stocks over the next 5 years
Hottest 20%
+11.0%a year
All months
+11.1%a year
Coldest 20%
+11.1%a year
There is no clear relationship between hot or cold and what came next. The gaps between the bars are not consistent across months (rank correlation below 0.25); this is a record of the past, not a forecast.