# Average Weekly Earnings: Goods Producing — MA (statewide) (NSA)

Average Weekly Earnings: Goods Producing — MA (statewide) (NSA) was up 0.7% year on year in September 2026, compared with 4.2% in August 2026.
The level stood at 1,796.3 USD/week.
That is the lowest reading since July 2025.
Over the past ten years it has ranged from −2.9% (Jul 2021) to 10.5% (Jan 2023), averaging 3.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.AWE.M.NSA.IND-06000000`
- 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-goods-producing-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,796.3 USD/week | 0.7 |
| August 2026 | 1,823.2 USD/week | 4.2 |
| July 2026 | 1,795.2 USD/week | 4.7 |
| June 2026 | 1,815.0 USD/week | 4.5 |
| May 2026 | 1,825.6 USD/week | 4.1 |
| April 2026 | 1,799.7 USD/week | 1.0 |
| March 2026 | 1,794.0 USD/week | 2.5 |
| February 2026 | 1,758.7 USD/week | 2.3 |
| January 2026 | 1,773.4 USD/week | 1.9 |
| December 2025 | 1,784.0 USD/week | 1.4 |
| November 2025 | 1,754.4 USD/week | 2.4 |
| October 2025 | 1,748.8 USD/week | 1.2 |
| September 2025 | 1,783.2 USD/week | 2.4 |
| August 2025 | 1,750.5 USD/week | 2.1 |
| July 2025 | 1,714.7 USD/week | 0.3 |
| June 2025 | 1,737.5 USD/week | 1.1 |
| May 2025 | 1,754.0 USD/week | 1.3 |
| April 2025 | 1,782.3 USD/week | 4.0 |
| March 2025 | 1,750.0 USD/week | 2.3 |
| February 2025 | 1,719.0 USD/week | 3.8 |
| January 2025 | 1,740.8 USD/week | 3.4 |
| December 2024 | 1,758.8 USD/week | 4.9 |
| November 2024 | 1,713.0 USD/week | 2.6 |
| October 2024 | 1,728.0 USD/week | 4.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```