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

All Employees: Total Private — Newark, NJ Metropolitan Division (NSA) was down 0.09% year on year in September 2026, compared with 0.6% in August 2026.
The level stood at 893.6 thousands.
Over the past ten years it has ranged from −18.3% (Apr 2020) to 14.4% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35084.PAYEMS.M.NSA.IND-05000000`
- 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-private-newark-nj-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 893.6 thousands | −0.09 |
| August 2026 | 896.5 thousands | 0.6 |
| July 2026 | 903.8 thousands | 0.7 |
| June 2026 | 911.1 thousands | 0.01 |
| May 2026 | 902.4 thousands | 0.03 |
| April 2026 | 895.3 thousands | 0.1 |
| March 2026 | 887.1 thousands | −0.3 |
| February 2026 | 882.4 thousands | −0.2 |
| January 2026 | 880.5 thousands | −0.2 |
| December 2025 | 903.4 thousands | −0.04 |
| November 2025 | 902.2 thousands | 0.02 |
| October 2025 | 898.8 thousands | 0.1 |
| September 2025 | 894.4 thousands | −0.02 |
| August 2025 | 891.3 thousands | 0.2 |
| July 2025 | 897.7 thousands | 0.4 |
| June 2025 | 911.0 thousands | 0.7 |
| May 2025 | 902.1 thousands | 0.7 |
| April 2025 | 894.3 thousands | 0.6 |
| March 2025 | 890.0 thousands | 0.7 |
| February 2025 | 884.6 thousands | 0.9 |
| January 2025 | 882.6 thousands | 0.7 |
| December 2024 | 903.8 thousands | 0.8 |
| November 2024 | 902.0 thousands | 0.9 |
| October 2024 | 897.5 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```