# Labor Force: Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area (U)

Labor Force: Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area (U) was down 0.2% year on year in September 2025, compared with −0.2% in August 2025.
The level stood at 2,340,379 thousands.
That is the lowest reading since May 2024.
Over the past ten years it has ranged from −3.4% (Feb 2021) to 4.3% (May 2022), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42660.LF.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1994-01-01 to 2026-09-01 (392 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/labor-force-seattle-tacoma-bellevue-wa-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,340,379 thousands | — |
| August 2026 | 2,300,853 thousands | — |
| July 2026 | 2,295,912 thousands | — |
| June 2026 | 2,286,623 thousands | — |
| May 2026 | 2,317,646 thousands | — |
| April 2026 | 2,313,175 thousands | — |
| March 2026 | 2,321,168 thousands | — |
| February 2026 | 2,344,136 thousands | — |
| January 2026 | 2,317,972 thousands | — |
| December 2025 | 2,307,725 thousands | — |
| November 2025 | 2,314,762 thousands | — |
| September 2025 | 2,307,951 thousands | −0.2 |
| August 2025 | 2,307,491 thousands | −0.2 |
| July 2025 | 2,313,363 thousands | 0.06 |
| June 2025 | 2,313,856 thousands | 0.5 |
| May 2025 | 2,310,263 thousands | 1.0 |
| April 2025 | 2,325,038 thousands | 0.9 |
| March 2025 | 2,341,285 thousands | 1.5 |
| February 2025 | 2,340,150 thousands | 1.6 |
| January 2025 | 2,324,634 thousands | 1.7 |
| December 2024 | 2,309,789 thousands | 1.2 |
| November 2024 | 2,313,831 thousands | 0.6 |
| October 2024 | 2,311,327 thousands | 1.2 |
| September 2024 | 2,313,151 thousands | 0.7 |

## API

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

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