# All Employees: Warehousing and Storage — Portland-Vancouver-Hillsboro, OR-WA (NSA)

All Employees: Warehousing and Storage — Portland-Vancouver-Hillsboro, OR-WA (NSA) was up 1.0% year on year in September 2026, compared with −3.0% in August 2026.
The level stood at 9.80 thousands.
Over the past ten years it has ranged from −17.3% (Mar 2023) to 82.0% (Aug 2019), averaging 12.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38900.PAYEMS.M.NSA.IND-43493000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-warehousing-and-storage-portland-vancouver-hillsboro-or

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 9.80 thousands | 1.0 |
| August 2026 | 9.60 thousands | −3.0 |
| July 2026 | 9.60 thousands | 0.0 |
| June 2026 | 9.50 thousands | −1.0 |
| May 2026 | 9.50 thousands | 6.7 |
| April 2026 | 9.50 thousands | 6.7 |
| March 2026 | 9.60 thousands | 2.1 |
| February 2026 | 9.80 thousands | 0.0 |
| January 2026 | 10.20 thousands | −1.0 |
| December 2025 | 10.60 thousands | −4.5 |
| November 2025 | 10.60 thousands | −4.5 |
| October 2025 | 9.80 thousands | −1.0 |
| September 2025 | 9.70 thousands | −1.0 |
| August 2025 | 9.90 thousands | 1.0 |
| July 2025 | 9.60 thousands | −5.0 |
| June 2025 | 9.60 thousands | −3.0 |
| May 2025 | 8.90 thousands | −8.2 |
| April 2025 | 8.90 thousands | −10.1 |
| March 2025 | 9.40 thousands | −7.8 |
| February 2025 | 9.80 thousands | −8.4 |
| January 2025 | 10.30 thousands | −8.8 |
| December 2024 | 11.10 thousands | −8.3 |
| November 2024 | 11.10 thousands | −7.5 |
| October 2024 | 9.90 thousands | −9.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-43493000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38900.PAYEMS.M.NSA.IND-43493000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```