Macro · Economic Indicators
Industrial Production
The Federal Reserve monthly measure of factory, mining, and utility output.
The Industrial Production (IP) index, published monthly by the Federal Reserve Board, measures the real output of manufacturing, mining, and electric and gas utilities in the United States. It is one of four coincident indicators used by the National Bureau of Economic Research in dating business cycles. The companion Capacity Utilization rate, published in the same release, measures how intensively the production capacity of these sectors is being used.
Direct Answer
Industrial production measures the real (inflation-adjusted) output of the industrial sector: manufacturing (about 75% of the index), mining, and utilities. It is published approximately two and a half weeks after the reference month. Capacity utilization, the companion series, measures the rate at which production capacity is being used: readings above 80% have historically been associated with inflation pressure in goods sectors. The Federal Reserve uses this data alongside payrolls, real income, and real sales as part of its business cycle monitoring framework.
What it measures and how it is constructed
The IP index is organized along two classification schemes simultaneously. The industry groups approach divides output into manufacturing (durable goods and nondurable goods), mining, and electric and gas utilities. Manufacturing is by far the largest component, representing roughly three-quarters of the total index. The market groups approach reorganizes the same underlying data by the end use of the goods produced: consumer goods (durable and nondurable), business equipment, defense and space equipment, construction supplies, business supplies, and materials.
The underlying data come from a variety of source surveys, including the Census Bureau's Monthly Survey of Manufacturers and surveys conducted by trade groups and government agencies. Because these surveys are collected with a lag, the Federal Reserve often uses proxy variables such as production-worker hours from the Bureau of Labor Statistics or physical product counts to produce its initial monthly estimate. Subsequent monthly revisions incorporate more complete survey data.
Output is measured in real terms: the index removes the effect of price changes so that it reflects the physical volume of production rather than its dollar value. The index is expressed as a ratio relative to a base year (currently 2017 = 100) and is seasonally adjusted and working-day adjusted to remove the effect of the number of working days in each month.
Capacity utilization is calculated by dividing the IP index for each sector by an estimate of the sustainable maximum output that sector could produce over a sustained period if operating at a normal rate. The Federal Reserve constructs these capacity estimates from surveys of plant and equipment expenditures and depreciates the capital stock using industry-specific patterns. A capacity utilization rate of 79% in manufacturing means the sector is using 79 cents of every dollar of productive capacity it has available.
What to record from each release
When each monthly G.17 release arrives, record the following data points to build a usable trend picture:
- Headline IP index monthly change (month-over-month percent change): this is the number most widely reported and most frequently used for short-term comparison.
- Manufacturing component (separate from mining and utilities): the manufacturing subindex tells you more about domestic industrial health than the headline figure, which can be skewed by weather-related swings in utility output.
- Capacity utilization rate: record both the total rate and the manufacturing-only rate. Note the level relative to 80%.
- Year-over-year change: month-over-month figures are noisy. Year-over-year change smooths seasonal effects and gives a cleaner read on the underlying trend.
- Revision to prior month: the Federal Reserve revises each month's data in subsequent releases. An initial gain that gets revised down, or an initial decline that gets revised to a smaller loss, matters for trend interpretation.
How investors should read it
Industrial production is a coincident indicator: it moves roughly in sync with the business cycle rather than leading or lagging it materially. The National Bureau of Economic Research, which formally dates U.S. recessions, uses industrial production as one of four primary coincident measures alongside payroll employment, real personal income excluding transfer payments, and real manufacturing and trade sales. A sustained decline across these four series defines a recession in the NBER's framework.
From a practitioner's standpoint, the most actionable signal in the release is capacity utilization in manufacturing above 80%. Historically, when manufacturing capacity utilization has pushed above 80% and remained there for several months, goods-sector inflation pressures tend to follow. Factories operating near their limits face bottlenecks in labor and materials, which typically gets passed through to producer prices. The Federal Reserve monitors this threshold when forming views on inflation in the goods component of the Consumer Price Index.
The durable goods subcomponent of manufacturing (computers, electronics, machinery, automobiles) is more cyclically sensitive than nondurable goods (food, chemicals, paper). When durable goods output is falling while nondurable output is flat or rising, the economy may be entering a goods-sector contraction without a broader recession. This divergence matters for sector allocation in equity portfolios.
What this data does not tell you
Industrial production covers the goods-producing sector only. Services, which account for roughly 70% of U.S. GDP by value added, are entirely outside this measure. A weak IP reading combined with solid services employment and consumer spending data may simply reflect goods-sector softness in an otherwise healthy economy rather than broad economic deterioration.
The IP index is also not the same as the goods component of GDP. GDP measures value added at each stage of production; IP measures physical output. Exports of goods are included in IP but excluded from consumption-side GDP components, so the two series can diverge in periods of unusual trade activity.
Finally, the initial IP estimate is subject to revision. The Federal Reserve's initial release uses proxy variables for a significant share of the index because full survey data are not yet available. The typical revision pattern is small, but at business cycle turning points, when the underlying surveys are capturing rapidly changing conditions, revisions can be large enough to change the sign of the monthly change.
Cross-asset transmission
Strong industrial production data, particularly when accompanied by high capacity utilization, supports commodity prices because it signals that raw material demand in the goods-producing sector is rising. Industrial metals such as copper, aluminum, and steel are directly tied to factory output. Energy demand from manufacturing and utilities is reflected in natural gas and electricity consumption, which feeds into broader energy market balances.
In equity markets, industrial and materials sector stocks tend to benefit from strong IP data because their earnings are directly tied to factory activity and resource demand. Technology hardware and semiconductors are embedded in the durable goods subcomponent of manufacturing and can be a useful real-time read on capital equipment spending by manufacturers.
In fixed income markets, IP data feeds into the inflation picture. A pattern of rising IP alongside high and rising capacity utilization gives the Federal Reserve reason to maintain or increase restrictive monetary policy, which is negative for bond prices (prices fall as yields rise). A pattern of falling IP with declining capacity utilization is consistent with a disinflationary or recessionary outlook, which tends to support Treasury prices as the market prices in rate cuts.
FAQ
Is a higher reading always bad or good for investors?
Context and cycle stage determine the direction. For activity gauges like industrial production and housing starts, a higher reading signals economic strength that can lift equities, but in a late-cycle environment it may also reinforce expectations of continued monetary tightening. For a survey-based leading indicator like ISM PMI, a reading above 50 confirms expansion but a sharp move above consensus can raise rate-tightening concerns. Always consider whether the print changes the Fed's near-term policy path before deciding whether a strong number is net positive or negative for a given asset class.
Why do revisions matter?
Industrial production is revised monthly as additional data from the Federal Reserve's source surveys arrive. Housing starts data are subject to revision in subsequent monthly releases. Revisions can shift the trend picture materially, particularly at turning points when initial readings near a cycle high or low may be revised in the opposite direction. Tracking the direction of revisions over several months reveals whether the underlying trend is accelerating or decelerating beyond what the headline number shows.
Should I trade on the release?
Swoopr's focus is on understanding what each release measures, how it is constructed, and how to interpret it in context. Trading on a single economic release requires forecasting both the consensus estimate and the market reaction to any surprise, which is a distinct short-term timing problem. Use each release to update your macro framework and assess where the economy is in the cycle rather than as a standalone trade signal.
Educational use
This page is educational and informational. It does not constitute financial advice and does not account for individual circumstances, risk tolerance, or investment objectives. Economic data and indicators change over time. Verify current data from the primary sources linked in the References section before acting on any specific figure or release.
References
Reviewed by the Swoopr Editorial Team in September 2026.