# All Employees: Management of Companies and Enterprises — WA (statewide) (NSA)

All Employees: Management of Companies and Enterprises — WA (statewide) (NSA) was up 1.5% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 105.7 thousands.
Over the past ten years it has ranged from −4.2% (Aug 2023) to 20.3% (May 2022), averaging 5.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-60550000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-management-of-companies-and-enterprises-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 105.7 thousands | 1.5 |
| August 2026 | 106.1 thousands | 1.6 |
| July 2026 | 106.2 thousands | 1.5 |
| June 2026 | 103.9 thousands | 1.5 |
| May 2026 | 102.5 thousands | 1.3 |
| April 2026 | 100.1 thousands | 1.9 |
| March 2026 | 99.90 thousands | 1.0 |
| February 2026 | 100.6 thousands | 0.7 |
| January 2026 | 102.1 thousands | 0.8 |
| December 2025 | 105.1 thousands | 1.1 |
| November 2025 | 104.8 thousands | 2.0 |
| October 2025 | 104.1 thousands | 1.6 |
| September 2025 | 104.1 thousands | 2.1 |
| August 2025 | 104.4 thousands | 1.4 |
| July 2025 | 104.6 thousands | 1.8 |
| June 2025 | 102.4 thousands | 0.5 |
| May 2025 | 101.2 thousands | 0.8 |
| April 2025 | 98.20 thousands | −0.7 |
| March 2025 | 98.90 thousands | −0.1 |
| February 2025 | 99.90 thousands | 0.4 |
| January 2025 | 101.3 thousands | −0.10 |
| December 2024 | 104.0 thousands | −0.3 |
| November 2024 | 102.7 thousands | −0.9 |
| October 2024 | 102.5 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-60550000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-60550000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```