# All Employees: Professional, Scientific, and Technical Services — Portland-Vancouver-Hillsboro, OR-WA (NSA)

All Employees: Professional, Scientific, and Technical Services — Portland-Vancouver-Hillsboro, OR-WA (NSA) was down 3.7% year on year in September 2026, compared with −4.9% in August 2026.
The level stood at 80.40 thousands.
Over the past ten years it has ranged from −6.1% (Apr 2026) to 6.3% (Aug 2022), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38900.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-portland-us-38900-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 80.40 thousands | −3.7 |
| August 2026 | 80.30 thousands | −4.9 |
| July 2026 | 80.60 thousands | −5.0 |
| June 2026 | 80.70 thousands | −5.3 |
| May 2026 | 81.00 thousands | −5.0 |
| April 2026 | 81.10 thousands | −6.1 |
| March 2026 | 80.80 thousands | −5.6 |
| February 2026 | 81.20 thousands | −5.5 |
| January 2026 | 81.50 thousands | −4.6 |
| December 2025 | 83.80 thousands | −2.0 |
| November 2025 | 84.00 thousands | −1.4 |
| October 2025 | 83.40 thousands | −1.8 |
| September 2025 | 83.50 thousands | −2.3 |
| August 2025 | 84.40 thousands | −0.9 |
| July 2025 | 84.80 thousands | −0.7 |
| June 2025 | 85.20 thousands | −0.6 |
| May 2025 | 85.30 thousands | −0.2 |
| April 2025 | 86.40 thousands | 0.2 |
| March 2025 | 85.60 thousands | −0.6 |
| February 2025 | 85.90 thousands | −0.3 |
| January 2025 | 85.40 thousands | −0.2 |
| December 2024 | 85.50 thousands | −0.1 |
| November 2024 | 85.20 thousands | −0.4 |
| October 2024 | 84.90 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```