# All Employees: Arts, Entertainment, and Recreation — New York City, NY (NSA)

All Employees: Arts, Entertainment, and Recreation — New York City, NY (NSA) was down 0.2% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 91.20 thousands.
Over the past ten years it has ranged from −57.4% (Jul 2020) to 52.6% (Mar 2022), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-70710000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-arts-entertainment-and-recreation-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 91.20 thousands | −0.2 |
| August 2026 | 92.10 thousands | 0.9 |
| July 2026 | 92.30 thousands | 0.9 |
| June 2026 | 93.40 thousands | 0.4 |
| May 2026 | 93.10 thousands | −0.5 |
| April 2026 | 88.40 thousands | −2.6 |
| March 2026 | 84.40 thousands | −7.8 |
| February 2026 | 83.30 thousands | −5.3 |
| January 2026 | 82.80 thousands | −5.3 |
| December 2025 | 88.90 thousands | −2.5 |
| November 2025 | 92.40 thousands | 0.9 |
| October 2025 | 91.30 thousands | −1.1 |
| September 2025 | 91.40 thousands | −1.2 |
| August 2025 | 91.30 thousands | 0.9 |
| July 2025 | 91.50 thousands | 1.1 |
| June 2025 | 93.00 thousands | −0.6 |
| May 2025 | 93.60 thousands | 1.7 |
| April 2025 | 90.80 thousands | 1.1 |
| March 2025 | 91.50 thousands | 4.6 |
| February 2025 | 88.00 thousands | 3.8 |
| January 2025 | 87.40 thousands | 5.6 |
| December 2024 | 91.20 thousands | 4.1 |
| November 2024 | 91.60 thousands | 4.1 |
| October 2024 | 92.30 thousands | 6.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-70710000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-70710000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```