# All Employees: Leisure and Hospitality — LA (statewide) (NSA)

All Employees: Leisure and Hospitality — LA (statewide) (NSA) was up 1.4% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 225.2 thousands.
That is the highest reading since February 2025.
Over the past ten years it has ranged from −44.2% (Apr 2020) to 48.2% (Apr 2021), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-LA.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-la-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 225.2 thousands | 1.4 |
| August 2026 | 228.1 thousands | 0.9 |
| July 2026 | 227.4 thousands | 1.0 |
| June 2026 | 227.2 thousands | 0.3 |
| May 2026 | 229.6 thousands | 0.2 |
| April 2026 | 229.5 thousands | 0.3 |
| March 2026 | 226.7 thousands | 0.8 |
| February 2026 | 223.6 thousands | −0.7 |
| January 2026 | 222.1 thousands | 0.5 |
| December 2025 | 226.0 thousands | 0.2 |
| November 2025 | 227.1 thousands | 0.5 |
| October 2025 | 225.2 thousands | −0.04 |
| September 2025 | 222.2 thousands | 0.3 |
| August 2025 | 226.0 thousands | 0.7 |
| July 2025 | 225.2 thousands | 0.4 |
| June 2025 | 226.5 thousands | −0.1 |
| May 2025 | 229.2 thousands | 0.3 |
| April 2025 | 228.8 thousands | 1.3 |
| March 2025 | 224.8 thousands | 0.7 |
| February 2025 | 225.1 thousands | 2.5 |
| January 2025 | 220.9 thousands | 1.4 |
| December 2024 | 225.5 thousands | 1.3 |
| November 2024 | 226.0 thousands | 1.8 |
| October 2024 | 225.3 thousands | 1.9 |

## API

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

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