# All Employees: Private Service Providing — NY (statewide) (NSA)

All Employees: Private Service Providing — NY (statewide) (NSA) was up 0.02% year on year in September 2026, compared with 0.6% in August 2026.
The level stood at 7,626.6 thousands.
Over the past ten years it has ranged from −21.8% (Apr 2020) to 16.0% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NY.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-ny-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7,626.6 thousands | 0.02 |
| August 2026 | 7,649.6 thousands | 0.6 |
| July 2026 | 7,705.6 thousands | 1.1 |
| June 2026 | 7,739.1 thousands | 0.6 |
| May 2026 | 7,702.9 thousands | 0.5 |
| April 2026 | 7,636.9 thousands | 0.5 |
| March 2026 | 7,613.1 thousands | −0.2 |
| February 2026 | 7,579.4 thousands | −0.07 |
| January 2026 | 7,550.7 thousands | 0.4 |
| December 2025 | 7,738.6 thousands | 0.3 |
| November 2025 | 7,707.3 thousands | 0.2 |
| October 2025 | 7,678.9 thousands | 0.2 |
| September 2025 | 7,624.8 thousands | 0.3 |
| August 2025 | 7,601.9 thousands | 0.6 |
| July 2025 | 7,624.4 thousands | 0.6 |
| June 2025 | 7,689.9 thousands | 0.4 |
| May 2025 | 7,665.5 thousands | 0.8 |
| April 2025 | 7,600.4 thousands | 0.8 |
| March 2025 | 7,626.8 thousands | 1.8 |
| February 2025 | 7,584.4 thousands | 1.9 |
| January 2025 | 7,521.6 thousands | 2.1 |
| December 2024 | 7,712.7 thousands | 1.8 |
| November 2024 | 7,695.4 thousands | 1.9 |
| October 2024 | 7,660.5 thousands | 1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```