# All Employees: Local Government Hospitals — NY (statewide) (NSA)

All Employees: Local Government Hospitals — NY (statewide) (NSA) was up 1.1% year on year in September 2026, compared with 1.5% in August 2026.
The level stood at 53.00 thousands.
That is the lowest reading since November 2023.
Over the past ten years it has ranged from −5.0% (Dec 2017) to 9.6% (May 2024), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NY.PAYEMS.M.NSA.IND-90932622`
- 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-hospitals-ny-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 53.00 thousands | 1.1 |
| August 2026 | 53.10 thousands | 1.5 |
| July 2026 | 53.10 thousands | 1.7 |
| June 2026 | 52.90 thousands | 1.7 |
| May 2026 | 52.80 thousands | 1.7 |
| April 2026 | 52.60 thousands | 1.9 |
| March 2026 | 52.50 thousands | 2.1 |
| February 2026 | 52.40 thousands | 2.7 |
| January 2026 | 52.50 thousands | 2.9 |
| December 2025 | 52.50 thousands | 3.3 |
| November 2025 | 52.40 thousands | 3.4 |
| October 2025 | 52.40 thousands | 4.6 |
| September 2025 | 52.40 thousands | 4.6 |
| August 2025 | 52.30 thousands | 4.8 |
| July 2025 | 52.20 thousands | 5.7 |
| June 2025 | 52.00 thousands | 5.5 |
| May 2025 | 51.90 thousands | 5.7 |
| April 2025 | 51.60 thousands | 7.1 |
| March 2025 | 51.40 thousands | 7.3 |
| February 2025 | 51.00 thousands | 6.7 |
| January 2025 | 51.00 thousands | 7.4 |
| December 2024 | 50.80 thousands | 6.3 |
| November 2024 | 50.70 thousands | 8.3 |
| October 2024 | 50.10 thousands | 8.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-90932622"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-90932622",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```