# All Employees: Architectural, Engineering, and Related Services — WA (statewide) (NSA)

All Employees: Architectural, Engineering, and Related Services — WA (statewide) (NSA) was up 1.9% year on year in September 2026, compared with 3.1% in August 2026.
The level stood at 42.20 thousands.
Over the past ten years it has ranged from −2.8% (Mar 2021) to 7.1% (Jul 2022), averaging 1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-60541300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-architectural-engineering-and-related-services-wa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 42.20 thousands | 1.9 |
| August 2026 | 43.00 thousands | 3.1 |
| July 2026 | 43.20 thousands | 3.6 |
| June 2026 | 42.60 thousands | 2.9 |
| May 2026 | 41.80 thousands | 1.2 |
| April 2026 | 41.80 thousands | 2.2 |
| March 2026 | 42.10 thousands | 3.4 |
| February 2026 | 41.80 thousands | 3.2 |
| January 2026 | 41.60 thousands | 2.7 |
| December 2025 | 41.30 thousands | 1.5 |
| November 2025 | 41.40 thousands | 2.0 |
| October 2025 | 41.10 thousands | 2.8 |
| September 2025 | 41.40 thousands | 0.7 |
| August 2025 | 41.70 thousands | 1.2 |
| July 2025 | 41.70 thousands | 1.2 |
| June 2025 | 41.40 thousands | 1.2 |
| May 2025 | 41.30 thousands | 2.5 |
| April 2025 | 40.90 thousands | 2.0 |
| March 2025 | 40.70 thousands | 1.8 |
| February 2025 | 40.50 thousands | 1.8 |
| January 2025 | 40.50 thousands | 1.8 |
| December 2024 | 40.70 thousands | 1.8 |
| November 2024 | 40.60 thousands | 1.5 |
| October 2024 | 40.00 thousands | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-60541300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-60541300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```