# All Employees: Total Nonfarm — Newark, NJ Metropolitan Division (NSA)

All Employees: Total Nonfarm — Newark, NJ Metropolitan Division (NSA) was down 0.2% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 1,051.0 thousands.
Over the past ten years it has ranged from −16.2% (Apr 2020) to 11.6% (Apr 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35084.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-newark-nj-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,051.0 thousands | −0.2 |
| August 2026 | 1,039.6 thousands | 0.3 |
| July 2026 | 1,047.9 thousands | 0.4 |
| June 2026 | 1,068.9 thousands | −0.2 |
| May 2026 | 1,061.9 thousands | −0.07 |
| April 2026 | 1,057.6 thousands | 0.07 |
| March 2026 | 1,049.0 thousands | −0.3 |
| February 2026 | 1,044.7 thousands | −0.2 |
| January 2026 | 1,039.2 thousands | −0.1 |
| December 2025 | 1,065.9 thousands | −0.05 |
| November 2025 | 1,064.9 thousands | 0.04 |
| October 2025 | 1,059.9 thousands | 0.1 |
| September 2025 | 1,053.5 thousands | 0.2 |
| August 2025 | 1,036.1 thousands | 0.2 |
| July 2025 | 1,043.8 thousands | 0.5 |
| June 2025 | 1,071.0 thousands | 0.9 |
| May 2025 | 1,062.6 thousands | 0.9 |
| April 2025 | 1,056.9 thousands | 0.9 |
| March 2025 | 1,052.6 thousands | 0.9 |
| February 2025 | 1,047.0 thousands | 1.0 |
| January 2025 | 1,040.4 thousands | 1.2 |
| December 2024 | 1,066.4 thousands | 1.0 |
| November 2024 | 1,064.5 thousands | 1.1 |
| October 2024 | 1,058.5 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```