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

All Employees: Heavy and Civil Engineering Construction — SC (statewide) (NSA) was up 5.1% year on year in September 2026, compared with 5.1% in August 2026.
The level stood at 20.60 thousands.
Over the past ten years it has ranged from −18.8% (Oct 2017) to 20.9% (Oct 2016), averaging 1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-SC.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-sc-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 20.60 thousands | 5.1 |
| August 2026 | 20.50 thousands | 5.1 |
| July 2026 | 20.50 thousands | 5.1 |
| June 2026 | 20.50 thousands | 4.1 |
| May 2026 | 20.30 thousands | 4.6 |
| April 2026 | 20.10 thousands | 5.2 |
| March 2026 | 19.90 thousands | 3.1 |
| February 2026 | 19.80 thousands | 5.3 |
| January 2026 | 19.90 thousands | 8.7 |
| December 2025 | 19.70 thousands | 3.7 |
| November 2025 | 19.60 thousands | 3.7 |
| October 2025 | 19.70 thousands | 1.5 |
| September 2025 | 19.60 thousands | 9.5 |
| August 2025 | 19.50 thousands | 8.3 |
| July 2025 | 19.50 thousands | 8.3 |
| June 2025 | 19.70 thousands | 4.2 |
| May 2025 | 19.40 thousands | 4.9 |
| April 2025 | 19.10 thousands | 4.4 |
| March 2025 | 19.30 thousands | 5.5 |
| February 2025 | 18.80 thousands | 4.4 |
| January 2025 | 18.30 thousands | 2.8 |
| December 2024 | 19.00 thousands | 5.6 |
| November 2024 | 18.90 thousands | 5.0 |
| October 2024 | 19.40 thousands | 9.0 |

## API

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

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