# All Employees: Goods Producing — Seattle-Tacoma-Bellevue, WA (NSA)

All Employees: Goods Producing — Seattle-Tacoma-Bellevue, WA (NSA) was up 2.4% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 292.3 thousands.
Over the past ten years it has ranged from −11.1% (Apr 2020) to 8.3% (Oct 2025), averaging −0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42660.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-seattle-tacoma-bellevue-wa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 292.3 thousands | 2.4 |
| August 2026 | 293.1 thousands | 2.2 |
| July 2026 | 290.8 thousands | 1.3 |
| June 2026 | 288.6 thousands | 0.7 |
| May 2026 | 286.7 thousands | 0.4 |
| April 2026 | 283.6 thousands | −0.3 |
| March 2026 | 281.1 thousands | −1.1 |
| February 2026 | 278.8 thousands | −2.4 |
| January 2026 | 278.4 thousands | −2.5 |
| December 2025 | 281.1 thousands | −2.8 |
| November 2025 | 281.1 thousands | −3.0 |
| October 2025 | 284.0 thousands | 8.3 |
| September 2025 | 285.5 thousands | −3.9 |
| August 2025 | 286.9 thousands | −3.5 |
| July 2025 | 287.2 thousands | −3.1 |
| June 2025 | 286.7 thousands | −2.7 |
| May 2025 | 285.7 thousands | −2.4 |
| April 2025 | 284.4 thousands | −2.3 |
| March 2025 | 284.1 thousands | −2.2 |
| February 2025 | 285.6 thousands | −1.2 |
| January 2025 | 285.5 thousands | −0.8 |
| December 2024 | 289.3 thousands | −1.2 |
| November 2024 | 289.9 thousands | −1.2 |
| October 2024 | 262.3 thousands | −11.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42660.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42660.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```