# All Employees: State Government — Atlantic City-Hammonton, NJ (NSA)

All Employees: State Government — Atlantic City-Hammonton, NJ (NSA) was up 0.0% year on year in September 2026, compared with −5.6% in August 2026.
The level stood at 4.40 thousands.
That is the highest reading since August 2025.
Over the past ten years it has ranged from −18.2% (Jan 2026) to 25.7% (Jan 2025), averaging −1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12100.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-atlantic-city-hammonton-nj-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4.40 thousands | 0.0 |
| August 2026 | 3.40 thousands | −5.6 |
| July 2026 | 3.50 thousands | −5.4 |
| June 2026 | 3.70 thousands | −5.1 |
| May 2026 | 3.90 thousands | −7.1 |
| April 2026 | 4.70 thousands | −4.1 |
| March 2026 | 4.60 thousands | −6.1 |
| February 2026 | 4.70 thousands | −4.1 |
| January 2026 | 3.60 thousands | −18.2 |
| December 2025 | 4.50 thousands | −4.3 |
| November 2025 | 4.50 thousands | −4.3 |
| October 2025 | 4.50 thousands | −4.3 |
| September 2025 | 4.40 thousands | −2.2 |
| August 2025 | 3.60 thousands | 5.9 |
| July 2025 | 3.70 thousands | 5.7 |
| June 2025 | 3.90 thousands | 5.4 |
| May 2025 | 4.20 thousands | 13.5 |
| April 2025 | 4.90 thousands | 2.1 |
| March 2025 | 4.90 thousands | 4.3 |
| February 2025 | 4.90 thousands | 2.1 |
| January 2025 | 4.40 thousands | 25.7 |
| December 2024 | 4.70 thousands | 0.0 |
| November 2024 | 4.70 thousands | 0.0 |
| October 2024 | 4.70 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12100.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12100.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```