# Average Weekly Earnings: Financial Activities — CO (statewide) (NSA)

Average Weekly Earnings: Financial Activities — CO (statewide) (NSA) was up 6.0% year on year in September 2026, compared with 12.0% in August 2026.
The level stood at 1,755.9 USD/week.
Over the past ten years it has ranged from −4.9% (Jul 2024) to 20.7% (Jan 2022), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CO.AWE.M.NSA.IND-55000000`
- 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-financial-activities-co-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,755.9 USD/week | 6.0 |
| August 2026 | 1,814.6 USD/week | 12.0 |
| July 2026 | 1,749.5 USD/week | 10.1 |
| June 2026 | 1,748.3 USD/week | 5.4 |
| May 2026 | 1,818.5 USD/week | 12.9 |
| April 2026 | 1,754.7 USD/week | 8.2 |
| March 2026 | 1,818.3 USD/week | 7.4 |
| February 2026 | 1,795.4 USD/week | 2.1 |
| January 2026 | 1,732.5 USD/week | 3.1 |
| December 2025 | 1,708.4 USD/week | −3.7 |
| November 2025 | 1,783.7 USD/week | 6.4 |
| October 2025 | 1,665.4 USD/week | 0.5 |
| September 2025 | 1,656.9 USD/week | −4.5 |
| August 2025 | 1,620.6 USD/week | −3.3 |
| July 2025 | 1,588.9 USD/week | −3.4 |
| June 2025 | 1,659.1 USD/week | −4.3 |
| May 2025 | 1,610.7 USD/week | −4.8 |
| April 2025 | 1,621.4 USD/week | −4.5 |
| March 2025 | 1,692.4 USD/week | −0.06 |
| February 2025 | 1,758.1 USD/week | 0.07 |
| January 2025 | 1,680.0 USD/week | −1.0 |
| December 2024 | 1,774.6 USD/week | 1.3 |
| November 2024 | 1,676.0 USD/week | −4.7 |
| October 2024 | 1,656.8 USD/week | −4.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CO.AWE.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CO.AWE.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```