# All Employees: Local Government excluding Educational Services — WA (statewide) (NSA)

All Employees: Local Government excluding Educational Services — WA (statewide) (NSA) was up 1.0% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 204.5 thousands.
Over the past ten years it has ranged from −10.6% (May 2020) to 8.2% (May 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-90932000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-excluding-educational-services-wa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 204.5 thousands | 1.0 |
| August 2026 | 208.1 thousands | 0.5 |
| July 2026 | 207.5 thousands | 0.4 |
| June 2026 | 205.8 thousands | 0.6 |
| May 2026 | 203.1 thousands | 0.5 |
| April 2026 | 201.2 thousands | 0.7 |
| March 2026 | 199.9 thousands | 1.0 |
| February 2026 | 200.2 thousands | 1.5 |
| January 2026 | 199.6 thousands | 1.3 |
| December 2025 | 200.0 thousands | 1.1 |
| November 2025 | 201.3 thousands | 1.0 |
| October 2025 | 201.3 thousands | 1.7 |
| September 2025 | 202.4 thousands | 1.5 |
| August 2025 | 207.0 thousands | 1.9 |
| July 2025 | 206.6 thousands | 2.3 |
| June 2025 | 204.5 thousands | 2.4 |
| May 2025 | 202.0 thousands | 2.9 |
| April 2025 | 199.8 thousands | 2.8 |
| March 2025 | 198.0 thousands | 2.3 |
| February 2025 | 197.2 thousands | 2.5 |
| January 2025 | 197.0 thousands | 3.2 |
| December 2024 | 197.9 thousands | 3.5 |
| November 2024 | 199.3 thousands | 4.1 |
| October 2024 | 198.0 thousands | 3.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-90932000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-90932000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```