# All Employees: Trade, Transportation, and Utilities — LA (statewide) (NSA)

All Employees: Trade, Transportation, and Utilities — LA (statewide) (NSA) was down 0.5% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 371.7 thousands.
Over the past ten years it has ranged from −11.0% (Apr 2020) to 7.8% (Apr 2021), averaging −0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-LA.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-la-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 371.7 thousands | −0.5 |
| August 2026 | 373.9 thousands | −0.5 |
| July 2026 | 372.6 thousands | −0.3 |
| June 2026 | 373.2 thousands | −0.08 |
| May 2026 | 372.4 thousands | −0.9 |
| April 2026 | 372.2 thousands | −0.9 |
| March 2026 | 370.8 thousands | −1.1 |
| February 2026 | 371.3 thousands | −1.3 |
| January 2026 | 373.4 thousands | −0.9 |
| December 2025 | 381.7 thousands | −0.3 |
| November 2025 | 377.7 thousands | −0.9 |
| October 2025 | 375.8 thousands | 0.0 |
| September 2025 | 373.5 thousands | 0.6 |
| August 2025 | 375.8 thousands | 0.8 |
| July 2025 | 373.6 thousands | 0.6 |
| June 2025 | 373.5 thousands | 1.1 |
| May 2025 | 375.7 thousands | 1.7 |
| April 2025 | 375.5 thousands | 1.8 |
| March 2025 | 375.1 thousands | 1.5 |
| February 2025 | 376.2 thousands | 2.0 |
| January 2025 | 376.7 thousands | 1.3 |
| December 2024 | 383.0 thousands | 0.7 |
| November 2024 | 381.0 thousands | 0.5 |
| October 2024 | 375.8 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```