# Average Weekly Earnings: Private Service Providing — GA (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — GA (statewide) (NSA) was up 1.4% year on year in September 2026, compared with 5.5% in August 2026.
The level stood at 1,202.5 USD/week.
Over the past ten years it has ranged from −3.8% (Jan 2024) to 13.8% (Nov 2025), averaging 4.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-GA.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-ga-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,202.5 USD/week | 1.4 |
| August 2026 | 1,241.2 USD/week | 5.5 |
| July 2026 | 1,199.2 USD/week | 3.7 |
| June 2026 | 1,195.0 USD/week | 0.9 |
| May 2026 | 1,207.3 USD/week | 6.2 |
| April 2026 | 1,200.2 USD/week | 6.2 |
| March 2026 | 1,251.8 USD/week | 8.4 |
| February 2026 | 1,253.2 USD/week | 8.7 |
| January 2026 | 1,211.3 USD/week | 10.9 |
| December 2025 | 1,226.3 USD/week | 7.0 |
| November 2025 | 1,243.8 USD/week | 13.8 |
| October 2025 | 1,206.5 USD/week | 10.2 |
| September 2025 | 1,186.1 USD/week | 8.5 |
| August 2025 | 1,176.7 USD/week | 11.2 |
| July 2025 | 1,156.6 USD/week | 11.3 |
| June 2025 | 1,183.8 USD/week | 10.6 |
| May 2025 | 1,136.4 USD/week | 9.9 |
| April 2025 | 1,130.5 USD/week | 9.5 |
| March 2025 | 1,154.8 USD/week | 13.4 |
| February 2025 | 1,153.4 USD/week | 12.8 |
| January 2025 | 1,092.5 USD/week | 7.8 |
| December 2024 | 1,145.7 USD/week | 12.2 |
| November 2024 | 1,093.0 USD/week | 6.3 |
| October 2024 | 1,095.3 USD/week | 3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-GA.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-GA.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
