# All Employees: Clothing, Clothing Accessories, Shoe, and Jewelry Retailers — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA)

All Employees: Clothing, Clothing Accessories, Shoe, and Jewelry Retailers — Los Angeles-Long Beach-Glendale, CA Metropolitan Division (NSA) was up 1.8% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 51.30 thousands.
Over the past ten years it has ranged from −64.1% (May 2020) to 138.9% (May 2021), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31084.PAYEMS.M.NSA.IND-42458000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-clothing-clothing-accessories-shoe-and-jewelry-retailers-us-31084-payems-m-nsa-ind-42458000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 51.30 thousands | 1.8 |
| August 2026 | 52.10 thousands | 1.2 |
| July 2026 | 52.20 thousands | 2.2 |
| June 2026 | 50.70 thousands | 0.2 |
| May 2026 | 50.80 thousands | 1.2 |
| April 2026 | 51.10 thousands | 1.0 |
| March 2026 | 50.90 thousands | 0.0 |
| February 2026 | 51.10 thousands | −0.6 |
| January 2026 | 53.00 thousands | −0.7 |
| December 2025 | 57.80 thousands | 1.0 |
| November 2025 | 56.00 thousands | 0.0 |
| October 2025 | 51.70 thousands | −1.1 |
| September 2025 | 50.40 thousands | −2.1 |
| August 2025 | 51.50 thousands | −1.5 |
| July 2025 | 51.10 thousands | −2.5 |
| June 2025 | 50.60 thousands | −1.4 |
| May 2025 | 50.20 thousands | −1.2 |
| April 2025 | 50.60 thousands | −0.6 |
| March 2025 | 50.90 thousands | −1.0 |
| February 2025 | 51.40 thousands | −0.8 |
| January 2025 | 53.40 thousands | −0.7 |
| December 2024 | 57.20 thousands | 1.1 |
| November 2024 | 56.00 thousands | 1.1 |
| October 2024 | 52.30 thousands | −1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-42458000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31084.PAYEMS.M.NSA.IND-42458000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```