# Average Weekly Earnings: Total Private — Columbus, GA-AL (NSA)

Average Weekly Earnings: Total Private — Columbus, GA-AL (NSA) was up 0.7% year on year in September 2026, compared with −3.1% in August 2026.
The level stood at 852.3 USD/week.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −19.1% (Sep 2025) to 21.4% (Apr 2023), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-17980.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-columbus-ga-al-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 852.3 USD/week | 0.7 |
| August 2026 | 831.5 USD/week | −3.1 |
| July 2026 | 823.2 USD/week | −3.1 |
| June 2026 | 813.2 USD/week | −6.4 |
| May 2026 | 822.6 USD/week | −5.8 |
| April 2026 | 848.3 USD/week | −5.3 |
| March 2026 | 853.0 USD/week | −8.4 |
| February 2026 | 856.0 USD/week | −9.9 |
| January 2026 | 844.7 USD/week | −9.9 |
| December 2025 | 836.7 USD/week | −14.6 |
| November 2025 | 854.4 USD/week | −13.4 |
| October 2025 | 831.8 USD/week | −17.9 |
| September 2025 | 845.9 USD/week | −19.1 |
| August 2025 | 858.5 USD/week | −18.1 |
| July 2025 | 849.3 USD/week | −16.9 |
| June 2025 | 868.9 USD/week | −14.7 |
| May 2025 | 872.9 USD/week | −13.2 |
| April 2025 | 896.0 USD/week | −8.1 |
| March 2025 | 931.6 USD/week | −4.1 |
| February 2025 | 950.4 USD/week | 1.1 |
| January 2025 | 937.0 USD/week | 3.2 |
| December 2024 | 979.6 USD/week | 4.1 |
| November 2024 | 986.3 USD/week | 5.7 |
| October 2024 | 1,012.6 USD/week | 8.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-17980.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-17980.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```