# Average Weekly Earnings: Total Private — Denver-Aurora-Centennial, CO (NSA)

Average Weekly Earnings: Total Private — Denver-Aurora-Centennial, CO (NSA) was up 2.6% year on year in September 2026, compared with 7.2% in August 2026.
The level stood at 1,472.7 USD/week.
Over the past ten years it has ranged from −1.9% (Mar 2017) to 12.3% (Jun 2024), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19740.AWE.M.NSA.IND-05000000`
- 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-total-private-denver-aurora-centennial-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,472.7 USD/week | 2.6 |
| August 2026 | 1,529.2 USD/week | 7.2 |
| July 2026 | 1,460.7 USD/week | 3.9 |
| June 2026 | 1,450.9 USD/week | 1.1 |
| May 2026 | 1,449.6 USD/week | 3.6 |
| April 2026 | 1,427.7 USD/week | 1.6 |
| March 2026 | 1,447.1 USD/week | 0.8 |
| February 2026 | 1,450.1 USD/week | 0.4 |
| January 2026 | 1,469.7 USD/week | 5.4 |
| December 2025 | 1,461.3 USD/week | 2.1 |
| November 2025 | 1,504.9 USD/week | 8.8 |
| October 2025 | 1,467.2 USD/week | 6.3 |
| September 2025 | 1,435.4 USD/week | 2.5 |
| August 2025 | 1,427.0 USD/week | 6.2 |
| July 2025 | 1,406.3 USD/week | 4.0 |
| June 2025 | 1,435.8 USD/week | 1.6 |
| May 2025 | 1,398.6 USD/week | 0.9 |
| April 2025 | 1,405.7 USD/week | 2.2 |
| March 2025 | 1,435.0 USD/week | 5.9 |
| February 2025 | 1,445.0 USD/week | 5.0 |
| January 2025 | 1,393.7 USD/week | 3.9 |
| December 2024 | 1,431.3 USD/week | 6.0 |
| November 2024 | 1,383.5 USD/week | 2.1 |
| October 2024 | 1,379.7 USD/week | 2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19740.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19740.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```