# All Employees: Wholesale Trade — GA (statewide) (NSA)

All Employees: Wholesale Trade — GA (statewide) (NSA) was up 0.5% year on year in September 2026, compared with −0.6% in August 2026.
The level stood at 227.7 thousands.
That is the highest reading since August 2024.
Over the past ten years it has ranged from −6.3% (May 2020) to 6.4% (Apr 2022), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-GA.PAYEMS.M.NSA.IND-41000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-wholesale-trade-ga-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 227.7 thousands | 0.5 |
| August 2026 | 226.6 thousands | −0.6 |
| July 2026 | 228.1 thousands | 0.0 |
| June 2026 | 228.7 thousands | 0.2 |
| May 2026 | 228.2 thousands | −0.04 |
| April 2026 | 228.5 thousands | 0.2 |
| March 2026 | 226.3 thousands | −0.4 |
| February 2026 | 224.1 thousands | −1.5 |
| January 2026 | 223.2 thousands | −1.7 |
| December 2025 | 226.1 thousands | −1.2 |
| November 2025 | 225.7 thousands | −1.6 |
| October 2025 | 226.5 thousands | −1.0 |
| September 2025 | 226.6 thousands | −0.7 |
| August 2025 | 227.9 thousands | −0.4 |
| July 2025 | 228.1 thousands | −0.4 |
| June 2025 | 228.3 thousands | −0.2 |
| May 2025 | 228.3 thousands | 0.1 |
| April 2025 | 228.0 thousands | −0.04 |
| March 2025 | 227.1 thousands | −0.5 |
| February 2025 | 227.5 thousands | −0.4 |
| January 2025 | 227.1 thousands | −0.4 |
| December 2024 | 228.9 thousands | −0.5 |
| November 2024 | 229.3 thousands | −0.09 |
| October 2024 | 228.7 thousands | −0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-GA.PAYEMS.M.NSA.IND-41000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-GA.PAYEMS.M.NSA.IND-41000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```