# All Employees: Transportation Equipment Manufacturing — WA (statewide) (NSA)

All Employees: Transportation Equipment Manufacturing — WA (statewide) (NSA) was up 7.9% year on year in September 2026, compared with 7.2% in August 2026.
The level stood at 96.10 thousands.
Over the past ten years it has ranged from −29.9% (Oct 2024) to 43.4% (Oct 2025), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-31336000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-transportation-equipment-manufacturing-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 96.10 thousands | 7.9 |
| August 2026 | 95.70 thousands | 7.2 |
| July 2026 | 96.10 thousands | 6.7 |
| June 2026 | 94.70 thousands | 5.9 |
| May 2026 | 93.40 thousands | 4.4 |
| April 2026 | 92.80 thousands | 3.2 |
| March 2026 | 92.00 thousands | 1.2 |
| February 2026 | 91.60 thousands | −2.0 |
| January 2026 | 91.00 thousands | −1.4 |
| December 2025 | 91.10 thousands | −1.8 |
| November 2025 | 90.20 thousands | −2.6 |
| October 2025 | 89.50 thousands | 43.4 |
| September 2025 | 89.10 thousands | −4.6 |
| August 2025 | 89.30 thousands | −4.2 |
| July 2025 | 90.10 thousands | −3.4 |
| June 2025 | 89.40 thousands | −3.5 |
| May 2025 | 89.50 thousands | −2.7 |
| April 2025 | 89.90 thousands | −1.9 |
| March 2025 | 90.90 thousands | −0.4 |
| February 2025 | 93.50 thousands | 2.6 |
| January 2025 | 92.30 thousands | 2.1 |
| December 2024 | 92.80 thousands | 2.7 |
| November 2024 | 92.60 thousands | 2.4 |
| October 2024 | 62.40 thousands | −29.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-31336000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-31336000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```