# All Employees: State Government — New York-Newark-Jersey City, NY-NJ (NSA)

All Employees: State Government — New York-Newark-Jersey City, NY-NJ (NSA) was down 0.2% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 185.5 thousands.
Over the past ten years it has ranged from −3.3% (Jun 2023) to 5.7% (Jan 2025), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35620.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-new-york-newark-jersey-city-ny-nj-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 185.5 thousands | −0.2 |
| August 2026 | 183.9 thousands | −0.3 |
| July 2026 | 184.2 thousands | −0.2 |
| June 2026 | 177.1 thousands | 0.5 |
| May 2026 | 183.2 thousands | 0.2 |
| April 2026 | 186.1 thousands | 0.4 |
| March 2026 | 186.0 thousands | 0.8 |
| February 2026 | 185.5 thousands | 0.8 |
| January 2026 | 180.7 thousands | 3.9 |
| December 2025 | 185.1 thousands | 1.5 |
| November 2025 | 186.1 thousands | 1.6 |
| October 2025 | 186.2 thousands | 1.6 |
| September 2025 | 185.9 thousands | 3.1 |
| August 2025 | 184.4 thousands | 3.5 |
| July 2025 | 184.5 thousands | 3.7 |
| June 2025 | 176.3 thousands | 3.3 |
| May 2025 | 182.9 thousands | 3.6 |
| April 2025 | 185.3 thousands | 3.3 |
| March 2025 | 184.6 thousands | 3.9 |
| February 2025 | 184.1 thousands | 3.0 |
| January 2025 | 173.9 thousands | 5.7 |
| December 2024 | 182.4 thousands | 4.7 |
| November 2024 | 183.2 thousands | 4.9 |
| October 2024 | 183.2 thousands | 5.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35620.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35620.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```