Average Hourly Earnings Growth vs Industrial Production Index (Monthly Change)

How These Two Indicators Relate

Growth and employment readings tend to move together over the cycle, but with different lags. GDP growth is reported quarterly with revisions; employment data is reported monthly and is one of the most timely cyclical signals available. When the two diverge — strong GDP with weakening jobs, or vice versa — the divergence usually resolves within two or three quarters.

The two indicators are currently moving in opposite directions. Wage Growth has moved lower -0.2% from the prior reading, while Industrial Production has moved higher +1.0%. Divergent moves on related indicators usually flag a regime shift in progress — one of the two is leading and the other is lagging.

What Average Hourly Earnings Growth Measures

Average hourly earnings measures the year-over-year percentage change in wages for all private-sector employees. It is a key indicator of labor cost pressures and consumer spending power.

Wage growth at 3.8% year-over-year outpaces current inflation, meaning workers are gaining real purchasing power. For executives, this signals continued pressure on labor budgets — compensation packages must grow to retain talent. However, wage growth moderating from 4%+ suggests the worst of the post-pandemic wage spiral may be easing.

Methodology: The BLS calculates average hourly earnings from its establishment survey, dividing total private payroll by total hours paid. The year-over-year change eliminates seasonal effects. It includes base pay but excludes benefits, bonuses, and employer-paid insurance. Source: U.S. Bureau of Labor Statistics (series CES0500000003).

What Industrial Production Index (Monthly Change) Measures

The Industrial Production Index measures the real output of manufacturing, mining, and electric and gas utilities. It is a coincident indicator that moves with the business cycle and reflects the goods-producing sector of the economy.

Industrial production fell 0.3% in March after strong February gains. Manufacturing, which accounts for about 75% of the index, has been volatile as companies adjust inventory levels. For executives in manufacturing and industrial sectors, the mixed readings suggest uneven demand rather than a clear downturn. The services sector remains the primary driver of U.S. economic growth.

Methodology: The Federal Reserve Board compiles data from various sources including industry surveys, utility output, and Census Bureau manufacturing reports. The index is set to 100 at a base year (currently 2017) and seasonally adjusted. Capacity utilization is calculated by comparing actual production to estimated maximum sustainable output. Source: FRED at the St. Louis Fed (series INDPRO).

How These Comparisons Are Built

Each pairwise comparison page is statically generated from the live indicator dataset — values, trends, and source links are pre-rendered into HTML at build time. When the underlying dataset refreshes (each indicator on its own publication schedule), the comparison page regenerates automatically. ExecBolt does not estimate, model, or interpolate any reading; every value comes from the publishing agency’s primary release. For the full sourcing approach, citation format, and known limitations, see the methodology page.

For plain-language guides to the concepts behind Wage Growth and Industrial Production, see the learn library. For tools that translate macro readings into business outputs (DCF, runway, break-even), see the calculators page. Authoritative external context comes from the Federal Reserve’s FRED database, the U.S. Bureau of Labor Statistics, the U.S. Bureau of Economic Analysis, and the SEC EDGAR system.

Frequently Asked Questions