# All Employees: Leisure and Hospitality — NJ (statewide) (SA)

All Employees: Leisure and Hospitality — NJ (statewide) (SA) was up 0.6% year on year in September 2026, compared with −1.1% in August 2026.
The level stood at 409.5 thousands.
That is the highest reading since August 2025.
Over the past ten years it has ranged from −54.7% (Jun 2020) to 78.7% (Jun 2021), averaging 2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NJ.PAYEMS.M.SA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-nj-statewide-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 409.5 thousands | 0.6 |
| August 2026 | 404.0 thousands | −1.1 |
| July 2026 | 398.8 thousands | −2.4 |
| June 2026 | 403.2 thousands | −1.2 |
| May 2026 | 407.9 thousands | −1.7 |
| April 2026 | 406.7 thousands | −0.6 |
| March 2026 | 408.0 thousands | −0.05 |
| February 2026 | 408.1 thousands | 0.1 |
| January 2026 | 406.0 thousands | −0.7 |
| December 2025 | 408.2 thousands | −0.7 |
| November 2025 | 407.4 thousands | −0.3 |
| October 2025 | 408.9 thousands | 0.2 |
| September 2025 | 407.1 thousands | −0.2 |
| August 2025 | 408.3 thousands | 0.8 |
| July 2025 | 408.7 thousands | 0.7 |
| June 2025 | 408.1 thousands | 0.05 |
| May 2025 | 415.0 thousands | 2.2 |
| April 2025 | 409.1 thousands | 1.0 |
| March 2025 | 408.2 thousands | 0.5 |
| February 2025 | 407.5 thousands | 0.4 |
| January 2025 | 408.8 thousands | 0.9 |
| December 2024 | 411.1 thousands | 1.8 |
| November 2024 | 408.7 thousands | 1.8 |
| October 2024 | 408.1 thousands | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.SA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.SA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```