Average Hourly Earnings Growth vs Personal Consumption Expenditures (Monthly Change)

How These Two Indicators Relate

Consumer indicators and employment are linked through household income. Confidence and spending typically rise when payrolls grow and unemployment falls, then weaken as labor markets soften. Watch the gap between confidence (a sentiment measure) and actual spending (a behavioral measure) — confidence often turns first but does not always translate into spending changes.

Both readings are currently moving lower. Wage Growth has moved lower -0.2% since the prior release; Consumer Spending has moved lower -0.5%. When two related indicators decline together, the move usually reflects a real economic shift rather than measurement noise.

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 Personal Consumption Expenditures (Monthly Change) Measures

Personal Consumption Expenditures measures the monthly change in household spending on goods and services. Consumer spending represents approximately 70% of U.S. GDP, making it the single largest driver of economic activity.

Consumer spending rebounded 0.4% in March after a rare decline in February, suggesting the consumer remains resilient despite falling confidence. For executives, the discrepancy between weak confidence surveys and solid spending data is a puzzle worth watching — consumers may be expressing anxiety while still spending. If spending follows confidence lower, it would be a significant drag on GDP growth.

Methodology: The BEA measures personal consumption expenditures using retail sales data, service provider revenue, and other economic indicators. It covers three categories: durable goods (cars, appliances), nondurable goods (food, clothing), and services (healthcare, housing, financial). Data is adjusted for inflation and seasonal patterns. Source: U.S. Bureau of Economic Analysis (series PCE).

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 Consumer Spending, 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