# All Employees: Printing and Related Support Activities — WA (statewide) (NSA)

All Employees: Printing and Related Support Activities — WA (statewide) (NSA) was down 4.3% year on year in September 2026, compared with −2.2% in August 2026.
The level stood at 4.40 thousands.
Over the past ten years it has ranged from −13.8% (Feb 2021) to 4.0% (Nov 2021), averaging −2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.PAYEMS.M.NSA.IND-32323000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-printing-and-related-support-activities-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4.40 thousands | −4.3 |
| August 2026 | 4.50 thousands | −2.2 |
| July 2026 | 4.50 thousands | −4.3 |
| June 2026 | 4.50 thousands | −4.3 |
| May 2026 | 4.50 thousands | −4.3 |
| April 2026 | 4.50 thousands | −4.3 |
| March 2026 | 4.50 thousands | −4.3 |
| February 2026 | 4.50 thousands | −4.3 |
| January 2026 | 4.50 thousands | −6.2 |
| December 2025 | 4.50 thousands | −6.2 |
| November 2025 | 4.50 thousands | −6.2 |
| October 2025 | 4.60 thousands | −4.2 |
| September 2025 | 4.60 thousands | −4.2 |
| August 2025 | 4.60 thousands | −4.2 |
| July 2025 | 4.70 thousands | −2.1 |
| June 2025 | 4.70 thousands | −4.1 |
| May 2025 | 4.70 thousands | −4.1 |
| April 2025 | 4.70 thousands | −4.1 |
| March 2025 | 4.70 thousands | −4.1 |
| February 2025 | 4.70 thousands | −4.1 |
| January 2025 | 4.80 thousands | −2.0 |
| December 2024 | 4.80 thousands | −2.0 |
| November 2024 | 4.80 thousands | −2.0 |
| October 2024 | 4.80 thousands | −2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-32323000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.PAYEMS.M.NSA.IND-32323000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```