# All Employees: Leisure and Hospitality — Atlantic City-Hammonton, NJ (NSA)

All Employees: Leisure and Hospitality — Atlantic City-Hammonton, NJ (NSA) was down 0.9% year on year in September 2026, compared with −5.4% in August 2026.
The level stood at 55.50 thousands.
Over the past ten years it has ranged from −72.7% (May 2020) to 210.8% (May 2021), averaging 4.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12100.PAYEMS.M.NSA.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-atlantic-city-hammonton-nj-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 55.50 thousands | −0.9 |
| August 2026 | 61.30 thousands | −5.4 |
| July 2026 | 61.30 thousands | −7.5 |
| June 2026 | 59.90 thousands | −3.5 |
| May 2026 | 53.80 thousands | 0.4 |
| April 2026 | 47.90 thousands | 5.5 |
| March 2026 | 46.40 thousands | 8.4 |
| February 2026 | 45.10 thousands | 6.9 |
| January 2026 | 44.80 thousands | 7.2 |
| December 2025 | 47.90 thousands | 1.7 |
| November 2025 | 48.20 thousands | 2.3 |
| October 2025 | 51.20 thousands | 3.0 |
| September 2025 | 56.00 thousands | −0.9 |
| August 2025 | 64.80 thousands | −0.6 |
| July 2025 | 66.30 thousands | −0.6 |
| June 2025 | 62.10 thousands | −1.1 |
| May 2025 | 53.60 thousands | 1.9 |
| April 2025 | 45.40 thousands | −0.2 |
| March 2025 | 42.80 thousands | −0.7 |
| February 2025 | 42.20 thousands | −0.2 |
| January 2025 | 41.80 thousands | −0.7 |
| December 2024 | 47.10 thousands | 1.9 |
| November 2024 | 47.10 thousands | 1.3 |
| October 2024 | 49.70 thousands | 2.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12100.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12100.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```