# All Employees: Architectural, Engineering, and Related Services — LA (statewide) (NSA)

All Employees: Architectural, Engineering, and Related Services — LA (statewide) (NSA) was up 3.6% year on year in September 2026, compared with 3.6% in August 2026.
The level stood at 25.80 thousands.
That is the highest reading since February 2024.
Over the past ten years it has ranged from −10.0% (Jan 2021) to 8.4% (Jun 2023), averaging 0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-LA.PAYEMS.M.NSA.IND-60541300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-architectural-engineering-and-related-services-la

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 25.80 thousands | 3.6 |
| August 2026 | 26.20 thousands | 3.6 |
| July 2026 | 26.20 thousands | 3.6 |
| June 2026 | 25.90 thousands | 2.8 |
| May 2026 | 25.60 thousands | 2.4 |
| April 2026 | 25.50 thousands | 2.8 |
| March 2026 | 25.10 thousands | 1.2 |
| February 2026 | 25.30 thousands | 1.6 |
| January 2026 | 24.90 thousands | 0.4 |
| December 2025 | 25.40 thousands | 2.4 |
| November 2025 | 25.50 thousands | 2.4 |
| October 2025 | 25.40 thousands | 1.6 |
| September 2025 | 24.90 thousands | 0.8 |
| August 2025 | 25.30 thousands | 1.6 |
| July 2025 | 25.30 thousands | 1.6 |
| June 2025 | 25.20 thousands | 1.2 |
| May 2025 | 25.00 thousands | 1.6 |
| April 2025 | 24.80 thousands | 1.6 |
| March 2025 | 24.80 thousands | 2.1 |
| February 2025 | 24.90 thousands | 2.5 |
| January 2025 | 24.80 thousands | 2.5 |
| December 2024 | 24.80 thousands | 1.6 |
| November 2024 | 24.90 thousands | 2.5 |
| October 2024 | 25.00 thousands | 2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-60541300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-60541300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```