# All Employees: Private Service Providing — WA (statewide) (NSA)

All Employees: Private Service Providing — WA (statewide) (NSA) was up 0.8% year on year in September 2026, compared with 1.0% in August 2026.
The level stood at 2,560.4 thousands.
Over the past ten years it has ranged from −12.1% (May 2020) to 10.8% (May 2021), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,560.4 thousands | 0.8 |
| August 2026 | 2,569.4 thousands | 1.0 |
| July 2026 | 2,573.9 thousands | 1.3 |
| June 2026 | 2,558.8 thousands | 0.5 |
| May 2026 | 2,536.7 thousands | 0.09 |
| April 2026 | 2,519.5 thousands | 0.4 |
| March 2026 | 2,509.9 thousands | 0.7 |
| February 2026 | 2,501.5 thousands | 0.8 |
| January 2026 | 2,500.7 thousands | 0.8 |
| December 2025 | 2,544.2 thousands | 0.8 |
| November 2025 | 2,534.0 thousands | 0.9 |
| October 2025 | 2,529.3 thousands | 0.8 |
| September 2025 | 2,538.9 thousands | 0.3 |
| August 2025 | 2,543.4 thousands | 0.7 |
| July 2025 | 2,542.0 thousands | 0.9 |
| June 2025 | 2,547.1 thousands | 1.1 |
| May 2025 | 2,534.3 thousands | 1.2 |
| April 2025 | 2,509.3 thousands | 1.0 |
| March 2025 | 2,492.1 thousands | 0.6 |
| February 2025 | 2,481.8 thousands | 0.8 |
| January 2025 | 2,480.4 thousands | 1.1 |
| December 2024 | 2,523.7 thousands | 0.7 |
| November 2024 | 2,512.5 thousands | 0.4 |
| October 2024 | 2,509.3 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
