# All Employees: Other Amusement and Recreation Industries — CA (statewide) (NSA)

All Employees: Other Amusement and Recreation Industries — CA (statewide) (NSA) was up 1.8% year on year in September 2026, compared with 4.9% in August 2026.
The level stood at 166.8 thousands.
Over the past ten years it has ranged from −61.7% (Apr 2020) to 78.5% (Apr 2021), averaging 5.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CA.PAYEMS.M.NSA.IND-70713900`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-other-amusement-and-recreation-industries-ca-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 166.8 thousands | 1.8 |
| August 2026 | 179.1 thousands | 4.9 |
| July 2026 | 181.4 thousands | 3.7 |
| June 2026 | 182.6 thousands | 5.6 |
| May 2026 | 177.3 thousands | 4.8 |
| April 2026 | 174.6 thousands | 3.4 |
| March 2026 | 174.2 thousands | 5.3 |
| February 2026 | 171.4 thousands | 3.9 |
| January 2026 | 169.9 thousands | 3.9 |
| December 2025 | 166.2 thousands | 1.5 |
| November 2025 | 165.2 thousands | 2.5 |
| October 2025 | 162.4 thousands | 1.9 |
| September 2025 | 163.8 thousands | 4.0 |
| August 2025 | 170.8 thousands | 3.8 |
| July 2025 | 175.0 thousands | 4.0 |
| June 2025 | 172.9 thousands | 4.0 |
| May 2025 | 169.2 thousands | 5.0 |
| April 2025 | 168.8 thousands | 5.0 |
| March 2025 | 165.5 thousands | 4.5 |
| February 2025 | 165.0 thousands | 4.7 |
| January 2025 | 163.6 thousands | 4.5 |
| December 2024 | 163.8 thousands | 4.8 |
| November 2024 | 161.1 thousands | 5.0 |
| October 2024 | 159.3 thousands | 5.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CA.PAYEMS.M.NSA.IND-70713900"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CA.PAYEMS.M.NSA.IND-70713900",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```