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

All Employees: Heavy and Civil Engineering Construction — MN (statewide) (NSA) was up 9.5% year on year in September 2026, compared with 9.1% in August 2026.
The level stood at 26.50 thousands.
Over the past ten years it has ranged from −22.5% (Jan 2022) to 36.6% (Jan 2021), averaging 3.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 26.50 thousands | 9.5 |
| August 2026 | 26.40 thousands | 9.1 |
| July 2026 | 26.30 thousands | 9.1 |
| June 2026 | 26.40 thousands | 11.9 |
| May 2026 | 25.20 thousands | 11.0 |
| April 2026 | 20.10 thousands | 18.9 |
| March 2026 | 15.00 thousands | 17.2 |
| February 2026 | 14.30 thousands | 22.2 |
| January 2026 | 14.60 thousands | 23.7 |
| December 2025 | 17.80 thousands | 13.4 |
| November 2025 | 22.40 thousands | 13.1 |
| October 2025 | 24.40 thousands | 7.0 |
| September 2025 | 24.20 thousands | 3.9 |
| August 2025 | 24.20 thousands | 2.5 |
| July 2025 | 24.10 thousands | 2.6 |
| June 2025 | 23.60 thousands | 2.2 |
| May 2025 | 22.70 thousands | 2.7 |
| April 2025 | 16.90 thousands | 0.6 |
| March 2025 | 12.80 thousands | −1.5 |
| February 2025 | 11.70 thousands | 2.6 |
| January 2025 | 11.80 thousands | 6.3 |
| December 2024 | 15.70 thousands | 5.4 |
| November 2024 | 19.80 thousands | 2.1 |
| October 2024 | 22.80 thousands | 1.8 |

## API

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

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