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

All Employees: State Government — Newark, NJ Metropolitan Division (NSA) was up 3.6% year on year in September 2026, compared with 3.6% in August 2026.
The level stood at 40.30 thousands.
Over the past ten years it has ranged from −8.1% (Apr 2017) to 13.8% (Jan 2025), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35084.PAYEMS.M.NSA.IND-90920000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-state-government-newark-nj-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 40.30 thousands | 3.6 |
| August 2026 | 34.90 thousands | 3.6 |
| July 2026 | 34.30 thousands | 3.3 |
| June 2026 | 34.80 thousands | 3.6 |
| May 2026 | 37.80 thousands | 4.1 |
| April 2026 | 40.30 thousands | 5.8 |
| March 2026 | 40.30 thousands | 5.8 |
| February 2026 | 40.30 thousands | 6.1 |
| January 2026 | 37.80 thousands | 6.8 |
| December 2025 | 40.20 thousands | 6.9 |
| November 2025 | 40.10 thousands | 6.9 |
| October 2025 | 39.70 thousands | 6.7 |
| September 2025 | 38.90 thousands | 6.9 |
| August 2025 | 33.70 thousands | 9.1 |
| July 2025 | 33.20 thousands | 9.2 |
| June 2025 | 33.60 thousands | 7.0 |
| May 2025 | 36.30 thousands | 6.5 |
| April 2025 | 38.10 thousands | 4.7 |
| March 2025 | 38.10 thousands | 5.0 |
| February 2025 | 38.00 thousands | 3.5 |
| January 2025 | 35.40 thousands | 13.8 |
| December 2024 | 37.60 thousands | 3.0 |
| November 2024 | 37.50 thousands | 3.3 |
| October 2024 | 37.20 thousands | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```