# All Employees: Goods Producing — Atlanta-Sandy Springs-Roswell, GA (NSA)

All Employees: Goods Producing — Atlanta-Sandy Springs-Roswell, GA (NSA) was down 1.1% year on year in September 2026, compared with −1.2% in August 2026.
The level stood at 333.7 thousands.
Over the past ten years it has ranged from −7.6% (Apr 2020) to 6.3% (May 2022), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12060.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-atlanta-sandy-springs-roswell-ga-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 333.7 thousands | −1.1 |
| August 2026 | 334.1 thousands | −1.2 |
| July 2026 | 334.5 thousands | −1.2 |
| June 2026 | 333.4 thousands | −1.6 |
| May 2026 | 333.6 thousands | −1.5 |
| April 2026 | 333.7 thousands | −1.2 |
| March 2026 | 335.1 thousands | −0.4 |
| February 2026 | 330.6 thousands | −1.5 |
| January 2026 | 331.6 thousands | −0.3 |
| December 2025 | 337.5 thousands | 0.4 |
| November 2025 | 336.8 thousands | 0.3 |
| October 2025 | 338.8 thousands | 0.7 |
| September 2025 | 337.4 thousands | 0.7 |
| August 2025 | 338.3 thousands | 0.8 |
| July 2025 | 338.7 thousands | 0.9 |
| June 2025 | 338.7 thousands | 0.8 |
| May 2025 | 338.8 thousands | 1.6 |
| April 2025 | 337.8 thousands | 1.6 |
| March 2025 | 336.6 thousands | 1.1 |
| February 2025 | 335.7 thousands | 1.5 |
| January 2025 | 332.6 thousands | 1.4 |
| December 2024 | 336.1 thousands | 1.2 |
| November 2024 | 335.8 thousands | 1.3 |
| October 2024 | 336.3 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12060.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12060.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```