# All Employees: Trade, Transportation, and Utilities — WA (statewide) (NSA)

All Employees: Trade, Transportation, and Utilities — WA (statewide) (NSA) was up 0.6% year on year in September 2026, compared with 1.3% in August 2026.
The level stood at 626.4 thousands.
Over the past ten years it has ranged from −10.2% (Apr 2020) to 11.5% (May 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 626.4 thousands | 0.6 |
| August 2026 | 631.4 thousands | 1.3 |
| July 2026 | 630.3 thousands | 1.0 |
| June 2026 | 625.1 thousands | 0.2 |
| May 2026 | 619.3 thousands | −0.4 |
| April 2026 | 616.4 thousands | −0.1 |
| March 2026 | 616.7 thousands | 0.3 |
| February 2026 | 615.3 thousands | 0.2 |
| January 2026 | 620.6 thousands | 0.5 |
| December 2025 | 637.0 thousands | 0.6 |
| November 2025 | 630.8 thousands | 0.4 |
| October 2025 | 625.1 thousands | 0.4 |
| September 2025 | 622.9 thousands | −0.2 |
| August 2025 | 623.4 thousands | 0.2 |
| July 2025 | 624.0 thousands | 0.3 |
| June 2025 | 624.0 thousands | 0.3 |
| May 2025 | 621.8 thousands | 0.5 |
| April 2025 | 617.2 thousands | 0.3 |
| March 2025 | 614.9 thousands | −0.1 |
| February 2025 | 614.3 thousands | 0.1 |
| January 2025 | 617.8 thousands | 0.1 |
| December 2024 | 633.2 thousands | −0.2 |
| November 2024 | 628.2 thousands | −0.7 |
| October 2024 | 622.9 thousands | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```