Makrognosis

United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted

MonthlySeasonally adjustedCode US.AWE.M.SA.IND-31337100

Latest (y/y)4.4%September 2026
Previous (y/y)4.2%August 2026
Level1,093.2 USD/weekSeptember 2026

United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted was up 4.4% year on year in September 2026, compared with 4.2% in August 2026.

The level stood at 1,093.2 USD/week.

Over the past ten years it has ranged from −1.2% (Jan 2024) to 11.0% (Dec 2020), averaging 3.8%.

United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted, annual % change, Mar 2007 – Sep 2026−5%0%5%10%2010201520202025Robomacro
United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted, annual % change, Mar 2007 – Sep 2026. Source: U.S. Bureau of Labor Statistics (flat files).
United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted, level (USD/week)4006008001,0001,2002010201520202025Robomacro
United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted, level (USD/week).

Showing the full history (downsampled for display). Open the interactive chart to zoom and switch transforms.

Recent data

PeriodValueY/Y %
September 20261,093.2 USD/week4.4
August 20261,085.3 USD/week4.2
July 20261,103.6 USD/week4.9
June 20261,076.9 USD/week1.5
May 20261,070.1 USD/week2.3
April 20261,065.0 USD/week2.8
March 20261,066.6 USD/week3.2
February 20261,063.9 USD/week3.0
January 20261,047.6 USD/week0.9
December 20251,054.2 USD/week1.5
November 20251,056.1 USD/week1.6
October 20251,041.8 USD/week2.0
September 20251,047.2 USD/week1.6
August 20251,042.0 USD/week0.7
July 20251,051.7 USD/week3.6
June 20251,061.2 USD/week2.3
May 20251,046.3 USD/week2.2
April 20251,035.9 USD/week0.3
March 20251,033.4 USD/week1.1
February 20251,032.5 USD/week1.2
January 20251,038.7 USD/week3.2
December 20241,038.7 USD/week3.2
November 20241,039.5 USD/week4.0
October 20241,021.4 USD/week1.9

Last 24 observations. The full history (247 observations) is available through the API.

Get United States Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted in your code or spreadsheet

One guessable code, agency-direct, updated on release. Free tier available.

curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-31337100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-31337100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
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About this series

Latest observationSeptember 2026
First observationMarch 2006
Observations247
FrequencyMonthly
UnitsUSD/week
AdjustmentSeasonally adjusted
10-year high11.0% (Dec 2020)
10-year low−1.2% (Jan 2024)
10-year average3.8%
Source agencyU.S. Bureau of Labor Statistics (flat files)
Makrognosis codeUS.AWE.M.SA.IND-31337100

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FAQ

What is the current average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted in United States?
The latest reading is 4.4% year on year for September 2026, published by U.S. Bureau of Labor Statistics (flat files).
Where does this data come from?
It is collected directly from U.S. Bureau of Labor Statistics (flat files) and is available through the Makrognosis API under the code US.AWE.M.SA.IND-31337100.

Last updated 2026-11-08. Source: U.S. Bureau of Labor Statistics (flat files). Original title: “Average weekly earnings of all employees, household and institutional furniture and kitchen cabinet manufacturing, seasonally adjusted”.