How to interpret wage data for inflation analysis
Wage data comes from multiple sources — AHE, ECI, the ECB Wage Tracker, ONS AWE — and each measures something different. Here is how to choose the right measure and read it in the context of inflation and monetary policy.
Wages are the primary driver of services inflation — the component of CPI that central banks can most directly influence and that is proving most stubborn in the current disinflation. Yet wage data is complex: there are multiple measures, each with different methodologies, frequencies, and policy relevance. Reading the wrong wage measure — or reading it without adjusting for composition, productivity, or measurement differences — leads to systematic misreading of the inflation outlook.
This guide covers the four main wage measures for the US, UK, and euro area, and shows how to connect them to the services inflation picture.
Choose the right wage measure for your question
Different wage measures answer different questions. Use the right one:
- US Average Hourly Earnings (AHE): Published monthly with the jobs report. Fast, timely, but subject to composition bias. Use for real-time sentiment; not ideal for precise policy analysis. FRED series CES0500000003.
- US Employment Cost Index (ECI): Quarterly, controls for composition, includes benefits. The Fed's preferred wage measure. Use for assessing whether wage growth is consistent with the inflation target. BLS ECI page.
- UK Average Weekly Earnings (AWE): Published monthly by ONS. Includes regular pay (ex-bonus) and total pay. The BoE focuses on private sector regular pay — current +5.2% YoY — as the services inflation signal. ONS AWE.
- ECB Wage Tracker (negotiated wages): Quarterly, covers agreed collective bargaining outcomes across the euro area. Lags actual labour costs by ~3 months. Current reading: +4.1% YoY. The ECB's primary input for assessing future services inflation trajectory. See our euro area wage analysis.
Adjust for composition bias
Average wage measures are subject to "composition effects" — apparent wage changes that result from shifts in who is working, not from individual workers receiving different pay. The most common bias: when low-wage workers are hired in large numbers (as happened in 2020–21 as the economy reopened), average wages fall — not because anyone got a pay cut, but because the mix of workers changed toward lower earners.
To check for composition effects: compare AHE or AWE (which are averages) with ECI or the ECB Wage Tracker (which hold composition constant). If the two measures diverge significantly, the divergence is likely composition. In the current context: AHE at +4.0% and ECI at +3.8% are close — suggesting composition is not a major distorting factor in the US right now.
Another approach: look at median rather than mean wages. The Federal Reserve Bank of Atlanta publishes the Wage Growth Tracker — which measures median wage changes for workers continuously employed, eliminating composition effects almost entirely.
Calculate real wage growth
Real wage growth = nominal wage growth minus inflation. But which inflation measure you use matters:
- For worker purchasing power: use the all-items CPI (because workers spend on food, energy, and services — the full basket).
- For central bank policy analysis: use core PCE (US) or core CPI (UK/EU) — because these strip out volatile components and reflect what monetary policy can influence.
- For unit labour cost analysis (relevant to business margins and pricing): use the GDP deflator — the price index for all domestic output.
With US AHE at +4.0% and CPI at 3.2%, real wage growth is approximately +0.8%. With core PCE at ~2.8%, real wages against core are +1.2%. Both suggest workers are recovering but not accelerating — the US real wages 2026 analysis covers this in depth.
Compute the productivity-adjusted picture
For assessing whether wages are consistent with the inflation target, the key metric is unit labour cost (ULC) growth: wage growth minus productivity growth. If wages grow at 4.5% but productivity grows at 1.5%, unit labour costs grow at 3.0% — consistent with roughly 3% inflation in a service-heavy economy (where prices = unit costs + margin). For 2% inflation, you need ULC growth of ~2% — implying wages of ~3.5% with 1.5% productivity growth.
Current position:
- US: AHE +4.0%, productivity ~1.5% → ULC ~+2.5%. Modestly above the consistent-with-2% threshold.
- UK: Private sector regular pay +5.2%, productivity ~0.5% → ULC ~+4.7%. Significantly above target-consistent levels. This explains services CPI at 5.6%.
- Euro area: Negotiated wages +4.1%, productivity ~0.8% → ULC ~+2.8–3.2%. Above the 2% consistent level but declining from its peak.
Connect wages to services CPI: the transmission lag
Wages feed into services inflation with a lag of approximately 6–12 months. Services businesses absorb rising labour costs initially (compressing margins), then pass them on in price increases as competitive conditions allow. The lag means current services CPI is partly a reflection of wage growth from 6–12 months ago — not current wage growth.
This has important implications: if wage growth is decelerating now (as it is in the euro area and beginning to in the UK), services inflation will follow — but with a 6–12 month delay. Conversely, a re-acceleration in wages today (unexpected) would not show in services CPI for 6–12 months. This lag is why central banks cannot wait for services inflation to fall before cutting: by the time services is at 3%, the wage deceleration driving it will have been happening for 6–12 months and may warrant even lower rates. Use the inflation explorer to track services alongside overall CPI across countries.