# All Employees: Total Nonfarm — Everett, WA Metropolitan Division (NSA)

All Employees: Total Nonfarm — Everett, WA Metropolitan Division (NSA) was up 1.9% year on year in September 2026, compared with 2.0% in August 2026.
The level stood at 310.9 thousands.
Over the past ten years it has ranged from −12.3% (May 2020) to 6.6% (May 2021), averaging 0.4%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-21794.PAYEMS.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-everett-wa-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 310.9 thousands | 1.9 |
| August 2026 | 311.7 thousands | 2.0 |
| July 2026 | 312.7 thousands | 1.6 |
| June 2026 | 311.6 thousands | 0.5 |
| May 2026 | 308.9 thousands | 0.3 |
| April 2026 | 306.6 thousands | 0.3 |
| March 2026 | 303.8 thousands | −0.2 |
| February 2026 | 302.7 thousands | −0.5 |
| January 2026 | 302.6 thousands | −0.4 |
| December 2025 | 306.5 thousands | −0.5 |
| November 2025 | 305.7 thousands | −0.7 |
| October 2025 | 305.6 thousands | 5.1 |
| September 2025 | 305.2 thousands | −1.1 |
| August 2025 | 305.7 thousands | −0.6 |
| July 2025 | 307.8 thousands | −0.3 |
| June 2025 | 310.0 thousands | 0.6 |
| May 2025 | 308.0 thousands | 0.8 |
| April 2025 | 305.7 thousands | 0.5 |
| March 2025 | 304.4 thousands | 0.4 |
| February 2025 | 304.1 thousands | 1.1 |
| January 2025 | 303.8 thousands | 1.2 |
| December 2024 | 308.0 thousands | 1.3 |
| November 2024 | 307.9 thousands | 1.6 |
| October 2024 | 290.8 thousands | −3.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-21794.PAYEMS.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-21794.PAYEMS.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```