# All Employees: Heavy and Civil Engineering Construction — LA (statewide) (NSA)

All Employees: Heavy and Civil Engineering Construction — LA (statewide) (NSA) was up 17.0% year on year in September 2026, compared with 17.5% in August 2026.
The level stood at 53.70 thousands.
Over the past ten years it has ranged from −17.5% (May 2020) to 18.4% (Jul 2024), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-LA.PAYEMS.M.NSA.IND-20237000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-heavy-and-civil-engineering-construction-la-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 53.70 thousands | 17.0 |
| August 2026 | 53.80 thousands | 17.5 |
| July 2026 | 53.10 thousands | 15.7 |
| June 2026 | 53.60 thousands | 15.0 |
| May 2026 | 53.30 thousands | 12.0 |
| April 2026 | 52.40 thousands | 9.6 |
| March 2026 | 52.40 thousands | 8.5 |
| February 2026 | 50.90 thousands | 2.8 |
| January 2026 | 49.20 thousands | 3.1 |
| December 2025 | 48.10 thousands | 1.9 |
| November 2025 | 48.00 thousands | −1.4 |
| October 2025 | 46.40 thousands | −5.5 |
| September 2025 | 45.90 thousands | −3.8 |
| August 2025 | 45.80 thousands | −7.1 |
| July 2025 | 45.90 thousands | −6.1 |
| June 2025 | 46.60 thousands | 0.6 |
| May 2025 | 47.60 thousands | −1.0 |
| April 2025 | 47.80 thousands | 0.4 |
| March 2025 | 48.30 thousands | 2.5 |
| February 2025 | 49.50 thousands | 7.8 |
| January 2025 | 47.70 thousands | 12.5 |
| December 2024 | 47.20 thousands | 11.3 |
| November 2024 | 48.70 thousands | 12.0 |
| October 2024 | 49.10 thousands | 8.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-20237000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-20237000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```