# All Employees: Individual and Family Services — New York City, NY (NSA)

All Employees: Individual and Family Services — New York City, NY (NSA) was up 1.0% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 277.9 thousands.
Over the past ten years it has ranged from −7.4% (Jul 2020) to 29.3% (Apr 2025), averaging 8.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-65624100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-individual-and-family-services-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 277.9 thousands | 1.0 |
| August 2026 | 278.7 thousands | 0.7 |
| July 2026 | 283.3 thousands | 3.7 |
| June 2026 | 286.0 thousands | 2.5 |
| May 2026 | 287.5 thousands | 5.0 |
| April 2026 | 285.8 thousands | 4.3 |
| March 2026 | 290.0 thousands | 21.0 |
| February 2026 | 288.0 thousands | 20.6 |
| January 2026 | 287.5 thousands | 21.8 |
| December 2025 | 285.8 thousands | 21.0 |
| November 2025 | 280.5 thousands | 20.1 |
| October 2025 | 278.6 thousands | 22.4 |
| September 2025 | 275.1 thousands | 24.7 |
| August 2025 | 276.8 thousands | 25.5 |
| July 2025 | 273.1 thousands | 24.5 |
| June 2025 | 278.9 thousands | 28.4 |
| May 2025 | 273.9 thousands | 27.3 |
| April 2025 | 274.0 thousands | 29.3 |
| March 2025 | 239.7 thousands | 14.6 |
| February 2025 | 238.8 thousands | 15.7 |
| January 2025 | 236.0 thousands | 15.7 |
| December 2024 | 236.2 thousands | 16.8 |
| November 2024 | 233.5 thousands | 16.7 |
| October 2024 | 227.6 thousands | 15.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-65624100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-65624100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```