# All Employees: Local Government — Newark, NJ Metropolitan Division (NSA)

All Employees: Local Government — Newark, NJ Metropolitan Division (NSA) was down 2.3% year on year in September 2026, compared with −2.4% in August 2026.
The level stood at 100.4 thousands.
Over the past ten years it has ranged from −18.1% (Jul 2020) to 5.2% (Aug 2021), averaging −0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35084.PAYEMS.M.NSA.IND-90930000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-newark-nj-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 100.4 thousands | −2.3 |
| August 2026 | 91.40 thousands | −2.4 |
| July 2026 | 93.00 thousands | −2.4 |
| June 2026 | 106.2 thousands | −2.4 |
| May 2026 | 104.9 thousands | −1.6 |
| April 2026 | 105.2 thousands | −1.6 |
| March 2026 | 105.0 thousands | −1.6 |
| February 2026 | 105.3 thousands | −1.3 |
| January 2026 | 104.4 thousands | −0.2 |
| December 2025 | 105.5 thousands | −1.4 |
| November 2025 | 105.9 thousands | −1.1 |
| October 2025 | 104.5 thousands | −1.4 |
| September 2025 | 102.8 thousands | 0.10 |
| August 2025 | 93.60 thousands | −2.3 |
| July 2025 | 95.30 thousands | −0.9 |
| June 2025 | 108.8 thousands | 1.2 |
| May 2025 | 106.6 thousands | 1.1 |
| April 2025 | 106.9 thousands | 1.8 |
| March 2025 | 106.7 thousands | 1.3 |
| February 2025 | 106.7 thousands | 1.3 |
| January 2025 | 104.6 thousands | 1.6 |
| December 2024 | 107.0 thousands | 1.4 |
| November 2024 | 107.1 thousands | 1.7 |
| October 2024 | 106.0 thousands | 1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```