# All Employees: Total Nonfarm — Trenton-Princeton, NJ (SA)

All Employees: Total Nonfarm — Trenton-Princeton, NJ (SA) was down 0.6% year on year in September 2026, compared with −0.6% in August 2026.
The level stood at 289.0 thousands.
That is the lowest reading since March 2021.
Over the past ten years it has ranged from −10.2% (Jun 2020) to 7.9% (Apr 2021), averaging 0.9%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45940.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-trenton-princeton-nj-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 289.0 thousands | −0.6 |
| August 2026 | 289.1 thousands | −0.6 |
| July 2026 | 289.8 thousands | −0.3 |
| June 2026 | 290.8 thousands | 0.07 |
| May 2026 | 290.5 thousands | −0.3 |
| April 2026 | 290.6 thousands | −0.3 |
| March 2026 | 290.9 thousands | 0.1 |
| February 2026 | 290.5 thousands | 0.0 |
| January 2026 | 291.0 thousands | 0.2 |
| December 2025 | 290.7 thousands | 0.07 |
| November 2025 | 290.7 thousands | 0.2 |
| October 2025 | 290.5 thousands | 0.4 |
| September 2025 | 290.7 thousands | 0.2 |
| August 2025 | 290.7 thousands | 0.4 |
| July 2025 | 290.8 thousands | 0.3 |
| June 2025 | 290.6 thousands | −0.4 |
| May 2025 | 291.5 thousands | 0.2 |
| April 2025 | 291.4 thousands | 0.4 |
| March 2025 | 290.5 thousands | 0.1 |
| February 2025 | 290.5 thousands | 0.4 |
| January 2025 | 290.3 thousands | 0.6 |
| December 2024 | 290.5 thousands | 0.6 |
| November 2024 | 290.2 thousands | 0.9 |
| October 2024 | 289.2 thousands | 0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45940.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45940.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```