# All Employees: Total Nonfarm — Tacoma-Lakewood, WA Metropolitan Division (SA)

All Employees: Total Nonfarm — Tacoma-Lakewood, WA Metropolitan Division (SA) was up 1.2% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 349.9 thousands.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −10.9% (May 2020) to 10.0% (May 2021), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45104.PAYEMS.M.SA`
- 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-tacoma-lakewood-wa-metropolitan-division-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 349.9 thousands | 1.2 |
| August 2026 | 348.9 thousands | 0.8 |
| July 2026 | 348.5 thousands | 0.7 |
| June 2026 | 347.8 thousands | 0.5 |
| May 2026 | 348.3 thousands | 0.5 |
| April 2026 | 347.4 thousands | 0.7 |
| March 2026 | 346.2 thousands | 0.3 |
| February 2026 | 345.7 thousands | 0.0 |
| January 2026 | 346.4 thousands | 0.03 |
| December 2025 | 346.6 thousands | 0.2 |
| November 2025 | 346.0 thousands | 0.6 |
| October 2025 | 345.0 thousands | 0.6 |
| September 2025 | 345.7 thousands | 0.03 |
| August 2025 | 346.3 thousands | 0.8 |
| July 2025 | 346.2 thousands | 0.8 |
| June 2025 | 346.2 thousands | 0.8 |
| May 2025 | 346.5 thousands | 1.0 |
| April 2025 | 345.1 thousands | 0.8 |
| March 2025 | 345.3 thousands | 0.9 |
| February 2025 | 345.7 thousands | 1.3 |
| January 2025 | 346.3 thousands | 1.8 |
| December 2024 | 346.0 thousands | 1.7 |
| November 2024 | 343.8 thousands | 1.1 |
| October 2024 | 342.8 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45104.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45104.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```