# All Employees: Performing Arts, Spectator Sports, and Related Industries — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Performing Arts, Spectator Sports, and Related Industries — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was down 3.8% year on year in September 2026, compared with −1.7% in August 2026.
The level stood at 46.10 thousands.
Over the past ten years it has ranged from −36.8% (Jul 2020) to 41.0% (Oct 2021), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-70711000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-performing-arts-spectator-sports-and-related-industries-us-31084-payems-m-nsa-ind-70711000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 46.10 thousands | −3.8 |
| August 2026 | 46.60 thousands | −1.7 |
| July 2026 | 46.80 thousands | 0.0 |
| June 2026 | 47.50 thousands | 0.2 |
| May 2026 | 47.30 thousands | −5.8 |
| April 2026 | 46.00 thousands | −6.3 |
| March 2026 | 45.90 thousands | −4.0 |
| February 2026 | 45.10 thousands | −2.4 |
| January 2026 | 44.70 thousands | 2.8 |
| December 2025 | 50.40 thousands | −3.4 |
| November 2025 | 49.20 thousands | −10.7 |
| October 2025 | 50.60 thousands | −12.6 |
| September 2025 | 47.90 thousands | −4.2 |
| August 2025 | 47.40 thousands | −3.7 |
| July 2025 | 46.80 thousands | −5.8 |
| June 2025 | 47.40 thousands | −2.7 |
| May 2025 | 50.20 thousands | −0.4 |
| April 2025 | 49.10 thousands | −0.6 |
| March 2025 | 47.80 thousands | −8.6 |
| February 2025 | 46.20 thousands | −11.2 |
| January 2025 | 43.50 thousands | −12.5 |
| December 2024 | 52.20 thousands | −2.4 |
| November 2024 | 55.10 thousands | 7.0 |
| October 2024 | 57.90 thousands | 10.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-70711000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-70711000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```