Release alerts

Get USD Average Weekly Earnings / Wages alerts

Enter your account email. We will notify you when the next official-source USD Average Weekly Earnings / Wages release is published.

Free account required. Unsubscribe anytime.

United States announcement

United States Average Weekly Earnings / Wages 2026-04-03 08:30 America/New_York: data, chart, and analysis

The 2026-03-31 Average Weekly Earnings / Wages release printed 3.4. The previous reading was 3.7, while the forecast field is 3.69. Traders usually read this release against the recent trend, the Federal Reserve policy bias, and the surprise versus consensus.

Back to Average Weekly Earnings / Wages API reference
Actual
3.4
Previous
3.7
Forecast
3.69

FXMacroData Blended Forecast

Public release ID
usd_wages_2026-04-03

United States Average Weekly Earnings / Wages release chart

Market context, recent readings, and scenario notes for this announcement.

United States Average Weekly Earnings / Wages chart through 2026-03-31
USD Average Weekly Earnings / Wages readings through 2026-03-31. Latest: 3.4.
Indicator
Wages (Average Hourly Earnings)
Released
April 30, 2026 13:00 UTC
Actual Value
3.60 %YoY
Prior
3.90 %YoY
Change
-0.30 %YoY

The United States labor market showed a notable deceleration in wage growth for April 2026, with Average Hourly Earnings (AHE) rising by 3.60% year-over-year. This figure marks a significant slowdown from the prior month's 3.90% increase, surprising many analysts who have been closely monitoring inflationary pressures within the economy.

For FX traders, macro analysts, and portfolio managers, this deceleration in wage growth is a critical data point. It offers fresh insights into the Federal Reserve's potential monetary policy path, impacts the US Dollar's valuation against major currencies, and signals shifting dynamics in the broader economic landscape, particularly concerning consumer purchasing power and inflation outlook.

Recent Readings

What Wages (Average Hourly Earnings) Measures

Average Hourly Earnings (AHE) is a key economic indicator that tracks the average hourly wage paid to all private-sector, non-supervisory employees in the United States. Published monthly by the Bureau of Labor Statistics (BLS) as part of the broader Nonfarm Payrolls report, AHE provides a crucial snapshot of wage inflation and labor market tightness.

The indicator is calculated by dividing total private-sector payrolls by the total number of private-sector hours worked, providing an average hourly remuneration. Traders and analysts closely monitor AHE because rising wages can signal stronger consumer spending power, potentially fueling economic growth. However, persistently strong wage growth can also lead to increased business costs, which are often passed on to consumers as higher prices, thus contributing to inflation. For central banks like the Federal Reserve, AHE is a vital gauge of underlying inflationary pressures and a critical input when formulating monetary policy decisions.

Breaking Down the April 2026 Numbers

The April 2026 release revealed that Average Hourly Earnings for the United States increased by 3.60% year-over-year. This represents a notable deceleration from the previous month's reading of 3.90% year-over-year, indicating a change of -0.30%. This marks a significant shift in the recent trend, which had seen wage growth hover in a tighter range.

Looking at the historical context, this 3.60% reading is the lowest in the provided series, falling below the 3.90% recorded in April 2025 and October 2025, and significantly below the 4.20% peak seen in March 2025. While wage growth had shown some volatility, with readings of 4.00% in August, July, and May of 2025, the latest figure suggests a more pronounced cooling. The magnitude of this month's decline, a 30-basis-point drop, indicates a meaningful easing of wage pressures, contrasting with a period where the labor market demonstrated more robust wage gains.

Impact on USD and FX Markets

The deceleration in United States Average Hourly Earnings to 3.60% year-over-year is generally perceived as a bearish signal for the US Dollar (USD). Slower wage growth implies reduced inflationary pressures, which in turn diminishes the likelihood of the Federal Reserve needing to maintain or embark on a restrictive monetary policy stance. This outlook typically leads to a softening of interest rate expectations, making the USD less attractive to yield-seeking investors.

In response to such a slowdown, FX markets often price in a greater probability of the Fed either holding rates steady for longer or even considering rate cuts sooner than previously anticipated. This can lead to a broad-based weakening of the USD against major currency pairs. Pairs particularly sensitive to interest rate differentials and growth outlooks, such as USD/JPY, EUR/USD, and GBP/USD, are likely to experience significant movements. A weaker USD could see EUR/USD and GBP/USD trending higher, while USD/JPY might face downward pressure as the interest rate differential narrows. Commodity-linked currencies like AUD/USD may also find support if the broader risk sentiment improves on hopes of easier monetary conditions.

Monetary Policy Implications

For the Federal Reserve, the April 2026 Average Hourly Earnings data presents a welcome development in its ongoing fight against inflation. The Fed's dual mandate includes achieving maximum employment and maintaining price stability. While the labor market has shown resilience, persistent wage inflation has been a key concern, as it feeds into the services sector and can keep overall inflation elevated.

The slowdown to 3.60% year-over-year suggests that some of the tightness in the labor market may be easing, potentially reducing one of the primary drivers of core inflation. This data point will likely be interpreted by Fed policymakers as supporting a more dovish stance. It reduces the urgency for further monetary policy tightening and could even pave the way for discussions around potential rate cuts later in the year, assuming other economic indicators also show signs of cooling. The central bank will likely view this as progress towards their 2% inflation target, offering greater flexibility in their forward guidance and potentially tempering any hawkish rhetoric from recent communications.

Looking Ahead

The April 2026 Average Hourly Earnings report provides a critical data point, but markets will be looking for confirmation in subsequent releases. For the next release, covering May 2026 data, traders will be keen to see if this deceleration is a one-off event or the beginning of a sustained trend. A continued slowdown in wage growth would further solidify expectations for a less aggressive Federal Reserve.

Structurally, analysts will monitor labor force participation rates, productivity trends, and the overall balance between labor supply and demand. Any significant shifts in these underlying factors could either exacerbate or counteract the recent wage cooling. Key upcoming releases that could compound or contradict this signal include the monthly Consumer Price Index (CPI) and Producer Price Index (PPI) reports, which directly measure inflation, as well as the broader Nonfarm Payrolls report for overall labor market health. Additionally, any statements or speeches from Federal Reserve officials and the minutes from upcoming Federal Open Market Committee (FOMC) meetings will be scrutinized for further clues on the monetary policy trajectory.

Track This Release

Access the full Wages (Average Hourly Earnings) time series for USD via the FXMacroData API:

curl "https://fxmacrodata.com/api/v1/announcements/usd/wages?api_key=YOUR_API_KEY"

See the Wages (Average Hourly Earnings) endpoint documentation for full details, or explore the live dashboard.

Average Weekly Earnings / Wages release read

The 2026-03-31 Average Weekly Earnings / Wages release printed 3.4. The previous reading was 3.7, while the forecast field is 3.69. Traders usually read this release against the recent trend, the Federal Reserve policy bias, and the surprise versus consensus.

The forecast marker for this release is 3.69 from FXMacroData Blended Forecast. Compare it with the actual value to assess the direction and size of the surprise.

The parent Average Weekly Earnings / Wages page shows the full time series for United States. This release page keeps the realised value, prior value, forecast, reference period, and publication time together for the individual announcement.

For USD event-risk work, the important read is whether this print changes the recent trend or simply extends it. Compare the actual value with the previous and forecast fields above, then use the raw JSON below for backtests keyed to the stable announcement ID.

Release data snapshot

The values below are the citation fields for this announcement.

Public release ID usd_wages_2026-04-03
API announcement ID usd_wages_2026-03-31
Release time
2026-04-03 12:30 UTC
Reference period date 2026-03-31
Actual value 3.4
Previous value 3.7
Forecast 3.69 FXMacroData Blended Forecast
Surprise -0.29
Announcement timestamp 1775219400

API data for this announcement

The API endpoint returns the full United States Average Weekly Earnings / Wages history. Clients can filter by date or match this row by announcement_id.

Forecasts live in the predictions endpoint and use the same announcement identifier where available. That is the preferred join key for realised values, forecast surprises, and release-event backtests.

More United States Average Weekly Earnings / Wages releases

Move through adjacent announcement records for the same series.

Newer release

2026-05-08 08:30 America/New_York · 3.6

Older release

2026-03-06 08:30 America/New_York · 3.7

Related United States indicators

Continue from this release into adjacent macro series for the same country.

Average Hourly Earnings

Measures the change in the price businesses pay for labor.

Employment Level

Total number of employed persons.

Full-Time Employment

Number of persons employed full-time.

Initial Jobless Claims

Weekly initial unemployment insurance claims.

Job Openings

Total number of unfilled job positions, a key indicator of labor market demand and tightness.

Labor Force Participation Rate

Ratio of the labor force to the working-age population.
Raw announcement payload

Field names are preserved for traceability and downstream testing.

{
  "announcement_datetime": 1775219400,
  "announcement_datetime_local": "2026-04-03T08:30:00-04:00",
  "announcement_id": "usd_wages_2026-03-31",
  "collected_at_iso": "2026-06-28T05:03:06.452495Z",
  "collected_at_ns": 1782622986452494592,
  "date": "2026-03-31",
  "forecast": 3.69,
  "forecast_source_label": "FXMacroData Blended Forecast",
  "ingestion_latency_ms": 7403586452.495,
  "ingestion_latency_reference": "official_actual_release_datetime",
  "observation_id": "usd_wages_canonical_yoy_default_standard_period_2026-03-31",
  "official_actual_release_datetime": 1775219400,
  "official_actual_release_datetime_local": "2026-04-03T08:30:00-04:00",
  "prediction_type": "fxmacrodata",
  "previous_value": 3.7,
  "revisions": [
    {
      "epoch": 1775219400,
      "val": 3.5
    },
    {
      "epoch": 1778243427,
      "val": 3.4
    },
    {
      "epoch": 1778243449,
      "val": 3.4
    },
    {
      "epoch": 1778301139,
      "val": 3.4
    },
    {
      "epoch": 1778387521,
      "val": 3.4
    },
    {
      "epoch": 1778473907,
      "val": 3.4
    },
    {
      "epoch": 1778502603,
      "val": 3.4
    },
    {
      "epoch": 1778560318,
      "val": 3.4
    },
    {
      "epoch": 1778589046,
      "val": 3.4
    },
    {
      "epoch": 1778646741,
      "val": 3.4
    },
    {
      "epoch": 1778675446,
      "val": 3.4
    },
    {
      "epoch": 1778733110,
      "val": 3.4
    },
    {
      "epoch": 1778761855,
      "val": 3.4
    },
    {
      "epoch": 1778819548,
      "val": 3.4
    },
    {
      "epoch": 1778848226,
      "val": 3.4
    },
    {
      "epoch": 1778905965,
      "val": 3.4
    },
    {
      "epoch": 1778992324,
      "val": 3.4
    },
    {
      "epoch": 1779078727,
      "val": 3.4
    },
    {
      "epoch": 1779107410,
      "val": 3.4
    },
    {
      "epoch": 1779193839,
      "val": 3.4
    },
    {
      "epoch": 1779251520,
      "val": 3.4
    },
    {
      "epoch": 1779280238,
      "val": 3.4
    },
    {
      "epoch": 1779337927,
      "val": 3.4
    },
    {
      "epoch": 1779366637,
      "val": 3.4
    },
    {
      "epoch": 1779424307,
      "val": 3.4
    },
    {
      "epoch": 1779510764,
      "val": 3.4
    },
    {
      "epoch": 1779597168,
      "val": 3.4
    }
  ],
  "val": 3.4
}