# All Employees: Home Health Care Services — New York City, NY (NSA)

All Employees: Home Health Care Services — New York City, NY (NSA) was up 5.3% year on year in September 2026, compared with 4.7% in August 2026.
The level stood at 262.6 thousands.
Over the past ten years it has ranged from −23.8% (Dec 2025) to 17.6% (Mar 2019), averaging 7.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-65621600`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-home-health-care-services-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 262.6 thousands | 5.3 |
| August 2026 | 258.8 thousands | 4.7 |
| July 2026 | 260.5 thousands | 5.7 |
| June 2026 | 260.3 thousands | 4.7 |
| May 2026 | 258.3 thousands | 3.5 |
| April 2026 | 257.4 thousands | 2.9 |
| March 2026 | 256.1 thousands | −21.7 |
| February 2026 | 255.6 thousands | −22.0 |
| January 2026 | 256.1 thousands | −21.3 |
| December 2025 | 254.5 thousands | −23.8 |
| November 2025 | 253.7 thousands | −23.3 |
| October 2025 | 250.8 thousands | −23.2 |
| September 2025 | 249.5 thousands | −22.4 |
| August 2025 | 247.3 thousands | −22.3 |
| July 2025 | 246.4 thousands | −21.4 |
| June 2025 | 248.7 thousands | −20.3 |
| May 2025 | 249.6 thousands | −19.8 |
| April 2025 | 250.1 thousands | −18.0 |
| March 2025 | 327.0 thousands | 7.7 |
| February 2025 | 327.5 thousands | 10.9 |
| January 2025 | 325.6 thousands | 12.5 |
| December 2024 | 333.8 thousands | 13.8 |
| November 2024 | 330.7 thousands | 15.3 |
| October 2024 | 326.6 thousands | 15.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-65621600"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-65621600",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```