# Average Weekly Earnings: Manufacturing — MA (statewide) (NSA)

Average Weekly Earnings: Manufacturing — MA (statewide) (NSA) was up 3.9% year on year in September 2026, compared with 1.7% in August 2026.
The level stood at 1,634.3 USD/week.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −5.1% (Jul 2021) to 11.6% (Nov 2017), averaging 3.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.AWE.M.NSA.IND-30000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-manufacturing-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,634.3 USD/week | 3.9 |
| August 2026 | 1,602.0 USD/week | 1.7 |
| July 2026 | 1,562.1 USD/week | 1.1 |
| June 2026 | 1,558.1 USD/week | 0.4 |
| May 2026 | 1,589.1 USD/week | 2.4 |
| April 2026 | 1,559.8 USD/week | 0.3 |
| March 2026 | 1,576.6 USD/week | 1.6 |
| February 2026 | 1,561.0 USD/week | 2.9 |
| January 2026 | 1,572.8 USD/week | 1.6 |
| December 2025 | 1,550.4 USD/week | 0.7 |
| November 2025 | 1,566.2 USD/week | 2.2 |
| October 2025 | 1,567.3 USD/week | 2.0 |
| September 2025 | 1,572.4 USD/week | 3.2 |
| August 2025 | 1,575.8 USD/week | 3.8 |
| July 2025 | 1,544.4 USD/week | 2.9 |
| June 2025 | 1,552.2 USD/week | 4.3 |
| May 2025 | 1,551.2 USD/week | 5.6 |
| April 2025 | 1,555.6 USD/week | 6.5 |
| March 2025 | 1,552.3 USD/week | 6.2 |
| February 2025 | 1,517.7 USD/week | 6.7 |
| January 2025 | 1,548.1 USD/week | 8.6 |
| December 2024 | 1,539.7 USD/week | 7.0 |
| November 2024 | 1,532.4 USD/week | 7.2 |
| October 2024 | 1,536.1 USD/week | 6.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-30000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-30000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```