labour

Average Hourly Earnings (YoY)

Year-over-year growth in average hourly wages

2.5%▼ 0.5
As of 2025-12-01 · Statistics Canada

Historical Data

Feb 2015Dec 2015Oct 2016Jul 2017Apr 2018Feb 2019Dec 2019Oct 2020Jul 2021Apr 2022Feb 2023Dec 2023Oct 2024Dec 2025-8.0%0.0%8.0%16.0%24.0%

What Is Average Hourly Earnings?

Average hourly earnings is a measure of the mean wage paid per hour of work across the economy. It captures the price that employers pay for an hour of labour and, from the worker's perspective, the income received for each hour contributed to the production process. As one of the most closely watched wage indicators, it provides a timely signal about the direction and pace of compensation growth, which in turn has implications for inflation, consumer spending, and monetary policy.

The statistic is typically compiled from payroll records collected through establishment surveys or, in some countries, from the household labour force survey. Establishment-survey measures are based on data reported by employers and cover total gross pay—before taxes and deductions—divided by total hours paid. This includes regular wages, overtime premiums, and shift differentials but generally excludes non-wage benefits such as employer pension contributions, health-insurance premiums, and bonuses. The result is a broad-based average that reflects the wage experience of millions of workers across hundreds of industries.

Average hourly earnings is reported in nominal terms—that is, in current dollars or the local currency—without adjustment for inflation. To assess whether workers' purchasing power is actually rising, analysts deflate nominal earnings by a consumer price index to obtain real average hourly earnings. The distinction between nominal and real wage growth is critical: workers can receive nominal pay increases that are entirely absorbed by rising prices, leaving their living standards unchanged or even diminished.

How It Is Calculated

Average hourly earnings is calculated by dividing total gross payroll by total hours worked (or paid) in a given period.

Average Hourly Earnings=Total Gross PayrollTotal Hours Worked\text{Average Hourly Earnings} = \frac{\text{Total Gross Payroll}}{\text{Total Hours Worked}}

The numerator includes all forms of direct monetary compensation—base pay, overtime pay, and incentive pay—but typically excludes employer-side costs such as benefits and payroll taxes. The denominator counts all hours for which employees were compensated, including overtime hours.

The year-over-year growth rate is the most commonly cited derivative:

AHE Growth (YoY)=AHEt−AHEt−12AHEt−12×100\text{AHE Growth (YoY)} = \frac{AHE_t - AHE_{t-12}}{AHE_{t-12}} \times 100

where AHEtAHE_t is average hourly earnings in the current month and AHEt−12AHE_{t-12} is the value twelve months prior. This year-over-year comparison strips out seasonal effects and provides a clean reading of the underlying wage trend.

Compositional effects are an important caveat. Average hourly earnings can shift not because individual workers receive raises but because the mix of workers changes. If low-wage workers are disproportionately laid off during a recession, the average rises mechanically even though no one's pay has increased. Conversely, rapid hiring of entry-level workers during an expansion can pull the average down even as established workers enjoy healthy wage growth. Analysts use fixed-weight or median-wage measures to control for these compositional shifts when precision is required.

How to Read the Numbers

Average hourly earnings growth is typically reported on a year-over-year basis as a percentage change. In a healthy, growing economy with inflation near the central bank's target, nominal wage growth in the range of 3 to 4 percent per year is generally consistent with price stability, assuming labour productivity is growing at roughly 1 to 2 percent annually. Wage growth that persistently exceeds productivity growth plus the inflation target puts upward pressure on unit labour costs and, by extension, on prices.

The relationship between wage growth and inflation is at the heart of central-bank deliberations. When average hourly earnings accelerate beyond levels consistent with the inflation target, policymakers worry about the emergence of a wage-price spiral—a self-reinforcing cycle in which higher wages lead to higher prices, which in turn prompt demands for even higher wages. When wage growth is sluggish, it suggests that workers lack bargaining power, that the labour market retains significant slack, or both.

Real wage growth—nominal earnings growth minus inflation—is the measure that matters for living standards. If nominal wages are growing at 4 percent and consumer prices are rising at 3 percent, real wage growth is approximately 1 percent, meaning that workers' purchasing power is expanding modestly. Periods of negative real wage growth, when inflation outpaces nominal pay increases, are particularly painful for households and tend to erode consumer confidence and spending.

Analysts also examine wage growth across sectors and occupation groups to identify emerging pressures. Rapid wage growth concentrated in a few industries—say, technology or healthcare—tells a different story than broad-based acceleration across the economy. Sector-level data can reveal labour shortages in specific occupations well before they manifest in the aggregate figures.

Economic Significance

Average hourly earnings occupies a central place in the macroeconomic landscape because wages are simultaneously a cost to producers and income to consumers. For businesses, rising wages squeeze profit margins unless offset by gains in productivity or by passing costs along to customers through higher prices. For households, wages are the single largest source of income, accounting for roughly two-thirds of national income in most advanced economies. Consumer spending, which constitutes the majority of gross domestic product, is therefore heavily dependent on the trajectory of earnings.

Central banks regard average hourly earnings as a leading indicator of inflationary pressure. Because labour costs represent the largest component of total costs for most firms, sustained wage acceleration tends to feed through into the prices of goods and services. When wage growth is moderate, central banks have more room to maintain accommodative policy. When it accelerates, the case for tightening strengthens.

Financial markets react swiftly to average hourly earnings data. A stronger-than-expected reading can push bond yields higher as traders price in a higher probability of interest-rate increases. Equity markets may react negatively if higher wages are seen as compressing corporate margins, or positively if they signal a robust consumer sector. Currency markets similarly respond, as faster wage growth can imply a stronger economy and potentially higher interest rates, attracting capital inflows.

Over the longer term, the trend in real wage growth is one of the best indicators of whether economic growth is translating into broadly shared prosperity. Decades of stagnant real wages amid rising productivity—a pattern observed in several advanced economies—have fuelled debates about the distribution of economic gains and contributed to political polarisation. Policymakers concerned about inequality monitor not only the average but also the distribution of earnings growth across wage quintiles.

The interaction between wages and productivity is fundamental. When wages grow in line with productivity, unit labour costs remain stable and inflation stays contained. When wages outrun productivity, unit labour costs rise, and firms face the choice of accepting lower margins or raising prices. When productivity outpaces wages, profits expand but workers do not fully share in the economy's gains. This triangular relationship among wages, productivity, and prices is one of the most important dynamics in macroeconomics.

Related Indicators

Why it matters

Wage growth above inflation = real gains. Below = workers falling behind.

Frequency: monthly
Units: percent change
Seasonal adj.: N/A
Importance: 8/10