# All Employees: Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 0.3% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 38.00 thousands.
That is the highest reading since January 2023.
Over the past ten years it has ranged from −37.3% (May 2020) to 50.2% (May 2021), averaging −0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-42459000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-sporting-goods-hobby-musical-instrument-book-and-us-31084-payems-m-nsa-ind-42459000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 38.00 thousands | 0.3 |
| August 2026 | 38.10 thousands | 0.3 |
| July 2026 | 38.20 thousands | 0.3 |
| June 2026 | 37.90 thousands | 0.0 |
| May 2026 | 37.90 thousands | −1.3 |
| April 2026 | 37.70 thousands | −1.0 |
| March 2026 | 37.70 thousands | −2.1 |
| February 2026 | 37.90 thousands | −2.1 |
| January 2026 | 38.00 thousands | −2.1 |
| December 2025 | 39.30 thousands | −2.7 |
| November 2025 | 39.10 thousands | −3.5 |
| October 2025 | 38.70 thousands | −4.2 |
| September 2025 | 37.90 thousands | −3.3 |
| August 2025 | 38.00 thousands | −4.0 |
| July 2025 | 38.10 thousands | −3.8 |
| June 2025 | 37.90 thousands | −4.3 |
| May 2025 | 38.40 thousands | −4.2 |
| April 2025 | 38.10 thousands | −4.5 |
| March 2025 | 38.50 thousands | −5.2 |
| February 2025 | 38.70 thousands | −5.4 |
| January 2025 | 38.80 thousands | −6.7 |
| December 2024 | 40.40 thousands | −4.5 |
| November 2024 | 40.50 thousands | −4.3 |
| October 2024 | 40.40 thousands | −4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-42459000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-42459000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```