Labour MarketLagging

Average Hourly Earnings (AHE)

Average Hourly Earnings (AHE) is a measure of the average amount of money employees make per hour. It is a key indicator of wage inflation: when AHE rises faster than productivity, it can feed through into consumer prices and add pressure to the broader inflation picture.

Provider
U.S. Bureau of Labor Statistics
Survey
Current Employment Statistics (CES)
Frequency
Monthly
Average hourly earnings, year-over-year
3.4% −0.1%vs prior
May 2026 · Monthly
BLS · FRED
to
201620182020202220242026

At A Glance#

FieldDetail
ProviderU.S. Bureau of Labor Statistics (BLS)
Survey / ToolCurrent Employment Statistics (CES) — also called the Establishment Survey
FrequencyMonthly
Indicator TypeLagging
Main UseMeasures wage growth and wage-driven inflation pressure
Live SeriesTrading Economics — Average Hourly Earnings

What It Is#

Average Hourly Earnings (AHE) is a measure of the average amount of money employees make per hour. It is a key indicator of wage inflation: when AHE rises faster than productivity, it can feed through into consumer prices and add pressure to the broader inflation picture.

Who Provides It#

BLS publishes AHE through the Current Employment Statistics (CES) establishment survey, the same payroll-based survey that produces Nonfarm Payrolls (NFP).

How It Is Collected#

AHE is derived from the same establishment survey as NFP. Hours and earnings estimates cover private-sector workers only.

What goes inside the earnings figure:

  • Regular pay
  • Overtime pay
  • Holiday and vacation pay
  • Sick leave paid directly by the employer
  • Commissions paid at least monthly

What is excluded:

  • Irregular bonuses
  • Retroactive pay
  • Benefits such as health insurance and retirement contributions
  • Employer payroll taxes

How It Is Computed#

BLS divides the total estimated payrolls (how much businesses pay workers) by the total estimated hours worked by all employees:

AHE=aggregate weekly payrollaggregate weekly hours\text{AHE} = \frac{\text{aggregate weekly payroll}}{\text{aggregate weekly hours}}

When aggregating industry-level data, BLS uses aggregate hours as weights, so industries with more paid hours have a larger effect on the overall AHE figure.

Indicator Type#

Lagging. Wages typically only rise or fall after the broader economy has already started booming or slowing down. Economists describe this as "wage stickiness": compensation does not move as quickly as hiring or output. Key reasons:

  • Morale and contracts: Companies prefer to lay off 10% of the workforce rather than cut everyone's pay by 10%, because across-the-board pay cuts severely damage morale.
  • The "Wait and See" approach: Early in a recovery, unemployment is still high, so companies can hire new workers without raising pay for existing staff.
  • The tipping point: Only after the economy has been booming for a while — and the pool of available workers shrinks — are companies forced to raise wages to attract talent and stop current employees from leaving for competitors.
  • Annual cycles: Wages are often locked in via employment contracts or annual review cycles, creating a structural delay in how quickly they adjust to macroeconomic reality.

In short: companies adjust how many people they employ today, but only adjust how much they pay those people when the market eventually forces them to.

Why It Matters#

Higher AHE signals rising worker income, but it can also signal inflation pressure. The Federal Reserve watches wage growth because persistent wage pressure can make inflation harder to reduce. For a cleaner read on compensation costs that controls for workforce composition, see Employment Cost Index (ECI).

Sources#

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