# All Employees: Private Service Providing — GA (statewide) (NSA)

All Employees: Private Service Providing — GA (statewide) (NSA) was up 0.2% year on year in September 2026, compared with −0.1% in August 2026.
The level stood at 3,592.8 thousands.
Over the past ten years it has ranged from −14.6% (Apr 2020) to 15.3% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-GA.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-ga-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 3,592.8 thousands | 0.2 |
| August 2026 | 3,603.3 thousands | −0.1 |
| July 2026 | 3,605.6 thousands | −0.05 |
| June 2026 | 3,623.9 thousands | 0.7 |
| May 2026 | 3,618.2 thousands | 0.2 |
| April 2026 | 3,609.8 thousands | 0.2 |
| March 2026 | 3,591.5 thousands | 0.5 |
| February 2026 | 3,577.3 thousands | 0.09 |
| January 2026 | 3,572.9 thousands | 0.5 |
| December 2025 | 3,634.0 thousands | 0.03 |
| November 2025 | 3,624.8 thousands | −0.2 |
| October 2025 | 3,601.0 thousands | 0.04 |
| September 2025 | 3,585.2 thousands | 0.2 |
| August 2025 | 3,607.7 thousands | 0.6 |
| July 2025 | 3,607.4 thousands | 0.5 |
| June 2025 | 3,599.8 thousands | −0.09 |
| May 2025 | 3,610.0 thousands | 0.2 |
| April 2025 | 3,600.8 thousands | 0.4 |
| March 2025 | 3,575.3 thousands | 0.2 |
| February 2025 | 3,574.2 thousands | 0.6 |
| January 2025 | 3,553.5 thousands | 0.4 |
| December 2024 | 3,632.9 thousands | 0.7 |
| November 2024 | 3,631.0 thousands | 0.8 |
| October 2024 | 3,599.4 thousands | 0.7 |

## API

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

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