# All Employees: Ambulatory Health Care Services — NY (statewide) (NSA)

All Employees: Ambulatory Health Care Services — NY (statewide) (NSA) was up 3.5% year on year in September 2026, compared with 2.8% in August 2026.
The level stood at 705.0 thousands.
Over the past ten years it has ranged from −19.1% (Apr 2020) to 26.0% (Apr 2021), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NY.PAYEMS.M.NSA.IND-65621000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-ambulatory-health-care-services-ny-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 705.0 thousands | 3.5 |
| August 2026 | 698.2 thousands | 2.8 |
| July 2026 | 704.6 thousands | 3.8 |
| June 2026 | 703.3 thousands | 3.0 |
| May 2026 | 700.9 thousands | 2.2 |
| April 2026 | 696.0 thousands | 1.8 |
| March 2026 | 694.5 thousands | −10.3 |
| February 2026 | 692.1 thousands | −10.7 |
| January 2026 | 692.1 thousands | −10.4 |
| December 2025 | 693.3 thousands | −11.0 |
| November 2025 | 690.3 thousands | −11.0 |
| October 2025 | 683.4 thousands | −11.1 |
| September 2025 | 681.1 thousands | −10.7 |
| August 2025 | 679.2 thousands | −10.4 |
| July 2025 | 679.0 thousands | −9.9 |
| June 2025 | 683.1 thousands | −9.5 |
| May 2025 | 685.9 thousands | −9.0 |
| April 2025 | 683.4 thousands | −8.4 |
| March 2025 | 774.2 thousands | 4.0 |
| February 2025 | 774.7 thousands | 5.1 |
| January 2025 | 772.2 thousands | 5.6 |
| December 2024 | 778.8 thousands | 5.4 |
| November 2024 | 775.3 thousands | 6.1 |
| October 2024 | 768.5 thousands | 5.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-65621000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-65621000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```