# All Employees: Total Private — New York City, NY (NSA)

All Employees: Total Private — New York City, NY (NSA) was down 0.03% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 4,175.6 thousands.
Over the past ten years it has ranged from −22.0% (Apr 2020) to 13.9% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-05000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-private-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,175.6 thousands | −0.03 |
| August 2026 | 4,178.2 thousands | 0.8 |
| July 2026 | 4,220.9 thousands | 1.6 |
| June 2026 | 4,258.5 thousands | 1.3 |
| May 2026 | 4,242.5 thousands | 1.0 |
| April 2026 | 4,206.3 thousands | 0.6 |
| March 2026 | 4,196.2 thousands | −1.3 |
| February 2026 | 4,179.7 thousands | −1.2 |
| January 2026 | 4,166.8 thousands | −0.6 |
| December 2025 | 4,262.5 thousands | −0.6 |
| November 2025 | 4,235.7 thousands | −0.9 |
| October 2025 | 4,210.0 thousands | −0.8 |
| September 2025 | 4,177.0 thousands | −0.6 |
| August 2025 | 4,143.4 thousands | −0.2 |
| July 2025 | 4,155.2 thousands | −0.2 |
| June 2025 | 4,202.0 thousands | −0.2 |
| May 2025 | 4,198.5 thousands | 0.1 |
| April 2025 | 4,179.2 thousands | 0.1 |
| March 2025 | 4,251.0 thousands | 2.2 |
| February 2025 | 4,228.6 thousands | 2.4 |
| January 2025 | 4,190.4 thousands | 2.6 |
| December 2024 | 4,288.0 thousands | 2.5 |
| November 2024 | 4,275.8 thousands | 2.7 |
| October 2024 | 4,243.1 thousands | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```