# All Employees: Warehousing and Storage — WA (statewide) (NSA)

All Employees: Warehousing and Storage — WA (statewide) (NSA) was up 2.6% year on year in September 2026, compared with 3.2% in August 2026.
The level stood at 38.80 thousands.
That is the lowest reading since April 2024.
Over the past ten years it has ranged from −9.9% (Dec 2018) to 41.4% (Nov 2016), averaging 9.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.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-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 38.80 thousands | 2.6 |
| August 2026 | 39.00 thousands | 3.2 |
| July 2026 | 38.90 thousands | 3.7 |
| June 2026 | 38.60 thousands | 4.9 |
| May 2026 | 38.10 thousands | 5.0 |
| April 2026 | 37.70 thousands | 7.1 |
| March 2026 | 37.90 thousands | 7.1 |
| February 2026 | 38.30 thousands | 7.0 |
| January 2026 | 39.30 thousands | 8.3 |
| December 2025 | 40.40 thousands | 7.2 |
| November 2025 | 38.70 thousands | 9.3 |
| October 2025 | 37.80 thousands | 11.2 |
| September 2025 | 37.80 thousands | 11.5 |
| August 2025 | 37.80 thousands | 11.8 |
| July 2025 | 37.50 thousands | 11.3 |
| June 2025 | 36.80 thousands | 12.5 |
| May 2025 | 36.30 thousands | 13.1 |
| April 2025 | 35.20 thousands | 11.7 |
| March 2025 | 35.40 thousands | 13.5 |
| February 2025 | 35.80 thousands | 14.7 |
| January 2025 | 36.30 thousands | 14.5 |
| December 2024 | 37.70 thousands | 17.8 |
| November 2024 | 35.40 thousands | 11.0 |
| October 2024 | 34.00 thousands | 9.3 |

## API

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

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