# Average Weekly Earnings: Trade, Transportation, and Utilities — CO (statewide) (NSA)

Average Weekly Earnings: Trade, Transportation, and Utilities — CO (statewide) (NSA) was up 9.3% year on year in September 2026, compared with 9.4% in August 2026.
The level stood at 1,092.6 USD/week.
Over the past ten years it has ranged from −9.3% (Jun 2017) to 13.0% (May 2021), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CO.AWE.M.NSA.IND-40000000`
- 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-trade-transportation-and-utilities-co-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,092.6 USD/week | 9.3 |
| August 2026 | 1,091.1 USD/week | 9.4 |
| July 2026 | 1,041.6 USD/week | 5.8 |
| June 2026 | 1,042.9 USD/week | 4.6 |
| May 2026 | 1,022.1 USD/week | 6.1 |
| April 2026 | 1,005.5 USD/week | 5.9 |
| March 2026 | 1,012.2 USD/week | 5.4 |
| February 2026 | 1,011.2 USD/week | 1.8 |
| January 2026 | 968.4 USD/week | 0.7 |
| December 2025 | 983.8 USD/week | −1.0 |
| November 2025 | 1,006.0 USD/week | 6.5 |
| October 2025 | 995.1 USD/week | 7.0 |
| September 2025 | 999.6 USD/week | 3.4 |
| August 2025 | 997.1 USD/week | 7.5 |
| July 2025 | 984.6 USD/week | 7.6 |
| June 2025 | 996.8 USD/week | 5.4 |
| May 2025 | 963.2 USD/week | 6.0 |
| April 2025 | 949.5 USD/week | 5.2 |
| March 2025 | 959.9 USD/week | 6.9 |
| February 2025 | 993.2 USD/week | 12.2 |
| January 2025 | 961.5 USD/week | 9.2 |
| December 2024 | 993.7 USD/week | 7.3 |
| November 2024 | 944.6 USD/week | 1.3 |
| October 2024 | 930.2 USD/week | −1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CO.AWE.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CO.AWE.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```