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

All Employees: Leisure and Hospitality — CA (statewide) (NSA) was up 1.3% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 2,045.8 thousands.
Over the past ten years it has ranged from −47.3% (Apr 2020) to 47.5% (Jan 2022), averaging 2.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,045.8 thousands | 1.3 |
| August 2026 | 2,081.0 thousands | 1.6 |
| July 2026 | 2,082.0 thousands | 1.7 |
| June 2026 | 2,086.2 thousands | 1.7 |
| May 2026 | 2,071.9 thousands | 1.4 |
| April 2026 | 2,046.6 thousands | 1.3 |
| March 2026 | 2,023.3 thousands | 1.7 |
| February 2026 | 2,016.1 thousands | 2.2 |
| January 2026 | 2,002.3 thousands | 2.4 |
| December 2025 | 2,024.4 thousands | 1.0 |
| November 2025 | 2,023.0 thousands | 0.4 |
| October 2025 | 2,027.8 thousands | 0.00 |
| September 2025 | 2,019.5 thousands | 0.5 |
| August 2025 | 2,048.0 thousands | 0.6 |
| July 2025 | 2,046.5 thousands | 0.04 |
| June 2025 | 2,050.4 thousands | 0.5 |
| May 2025 | 2,043.0 thousands | 0.3 |
| April 2025 | 2,019.5 thousands | 0.02 |
| March 2025 | 1,989.4 thousands | −0.4 |
| February 2025 | 1,971.9 thousands | −0.7 |
| January 2025 | 1,955.6 thousands | −1.3 |
| December 2024 | 2,005.3 thousands | −0.4 |
| November 2024 | 2,014.2 thousands | −0.05 |
| October 2024 | 2,027.7 thousands | 0.1 |

## API

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

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