# All Employees: Professional, Scientific, and Technical Services — WA (statewide) (SA)

All Employees: Professional, Scientific, and Technical Services — WA (statewide) (SA) was down 0.2% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 259.9 thousands.
Over the past ten years it has ranged from −0.4% (Oct 2024) to 11.4% (Mar 2022), averaging 3.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.SA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-wa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 259.9 thousands | −0.2 |
| August 2026 | 259.3 thousands | −0.3 |
| July 2026 | 260.8 thousands | 0.2 |
| June 2026 | 260.6 thousands | −0.04 |
| May 2026 | 260.2 thousands | −0.3 |
| April 2026 | 263.4 thousands | 1.2 |
| March 2026 | 264.7 thousands | 1.8 |
| February 2026 | 266.0 thousands | 2.7 |
| January 2026 | 263.2 thousands | 1.5 |
| December 2025 | 259.8 thousands | 0.3 |
| November 2025 | 260.9 thousands | 0.9 |
| October 2025 | 261.2 thousands | 1.5 |
| September 2025 | 260.5 thousands | 0.08 |
| August 2025 | 260.1 thousands | 0.1 |
| July 2025 | 260.4 thousands | 0.08 |
| June 2025 | 260.7 thousands | 0.5 |
| May 2025 | 261.1 thousands | 0.9 |
| April 2025 | 260.3 thousands | 0.7 |
| March 2025 | 260.0 thousands | 0.5 |
| February 2025 | 259.0 thousands | 0.08 |
| January 2025 | 259.3 thousands | 0.3 |
| December 2024 | 259.1 thousands | 0.4 |
| November 2024 | 258.5 thousands | 0.2 |
| October 2024 | 257.3 thousands | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.SA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.SA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```