# All Employees: Local Government — Portland-Vancouver-Hillsboro, OR-WA (NSA)

All Employees: Local Government — Portland-Vancouver-Hillsboro, OR-WA (NSA) was up 1.4% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 126.7 thousands.
Over the past ten years it has ranged from −11.1% (Dec 2020) to 7.4% (Aug 2022), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38900.PAYEMS.M.NSA.IND-90930000`
- 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-portland-vancouver-hillsboro-or-wa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 126.7 thousands | 1.4 |
| August 2026 | 121.4 thousands | −0.2 |
| July 2026 | 121.7 thousands | −0.3 |
| June 2026 | 129.0 thousands | −0.4 |
| May 2026 | 129.3 thousands | −0.9 |
| April 2026 | 129.1 thousands | −0.5 |
| March 2026 | 129.1 thousands | −0.6 |
| February 2026 | 128.8 thousands | −0.2 |
| January 2026 | 128.3 thousands | −0.08 |
| December 2025 | 129.4 thousands | 1.9 |
| November 2025 | 129.6 thousands | 1.8 |
| October 2025 | 128.8 thousands | 2.1 |
| September 2025 | 124.9 thousands | 3.7 |
| August 2025 | 121.6 thousands | 2.2 |
| July 2025 | 122.1 thousands | 2.3 |
| June 2025 | 129.5 thousands | 1.4 |
| May 2025 | 130.5 thousands | 2.1 |
| April 2025 | 129.7 thousands | 1.6 |
| March 2025 | 129.9 thousands | 2.0 |
| February 2025 | 129.0 thousands | 2.3 |
| January 2025 | 128.4 thousands | 3.0 |
| December 2024 | 127.0 thousands | 0.9 |
| November 2024 | 127.3 thousands | 1.1 |
| October 2024 | 126.2 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```