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

Average Weekly Earnings: Manufacturing — DE (statewide) (NSA) was up 3.6% year on year in September 2026, compared with 4.2% in August 2026.
The level stood at 1,320.7 USD/week.
That is the lowest reading since July 2024.
Over the past ten years it has ranged from −15.6% (Sep 2020) to 16.9% (Oct 2021), averaging 3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-DE.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-de-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,320.7 USD/week | 3.6 |
| August 2026 | 1,319.6 USD/week | 4.2 |
| July 2026 | 1,303.6 USD/week | 4.3 |
| June 2026 | 1,313.3 USD/week | 3.9 |
| May 2026 | 1,340.2 USD/week | 7.6 |
| April 2026 | 1,320.1 USD/week | 10.8 |
| March 2026 | 1,304.0 USD/week | 8.2 |
| February 2026 | 1,324.0 USD/week | 10.3 |
| January 2026 | 1,345.6 USD/week | 10.0 |
| December 2025 | 1,312.5 USD/week | 6.8 |
| November 2025 | 1,290.7 USD/week | 5.1 |
| October 2025 | 1,275.7 USD/week | 5.3 |
| September 2025 | 1,274.5 USD/week | 6.2 |
| August 2025 | 1,266.6 USD/week | 7.7 |
| July 2025 | 1,250.0 USD/week | 10.1 |
| June 2025 | 1,263.8 USD/week | 10.1 |
| May 2025 | 1,245.3 USD/week | 6.1 |
| April 2025 | 1,191.9 USD/week | 5.4 |
| March 2025 | 1,205.1 USD/week | 7.8 |
| February 2025 | 1,200.9 USD/week | 4.9 |
| January 2025 | 1,223.3 USD/week | 7.0 |
| December 2024 | 1,229.5 USD/week | 12.2 |
| November 2024 | 1,228.1 USD/week | 10.5 |
| October 2024 | 1,211.6 USD/week | 4.3 |

## API

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

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