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

All Employees: Heavy and Civil Engineering Construction — MA (statewide) (NSA) was up 5.5% year on year in September 2026, compared with 6.8% in August 2026.
The level stood at 17.20 thousands.
Over the past ten years it has ranged from −10.9% (Apr 2020) to 14.2% (Jan 2026), averaging 1.0%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 17.20 thousands | 5.5 |
| August 2026 | 17.30 thousands | 6.8 |
| July 2026 | 17.30 thousands | 6.8 |
| June 2026 | 17.40 thousands | 7.4 |
| May 2026 | 16.90 thousands | 6.3 |
| April 2026 | 16.30 thousands | 12.4 |
| March 2026 | 14.10 thousands | 13.7 |
| February 2026 | 13.50 thousands | 13.4 |
| January 2026 | 13.70 thousands | 14.2 |
| December 2025 | 15.10 thousands | 4.9 |
| November 2025 | 16.10 thousands | 3.9 |
| October 2025 | 16.20 thousands | 0.6 |
| September 2025 | 16.30 thousands | 2.5 |
| August 2025 | 16.20 thousands | 2.5 |
| July 2025 | 16.20 thousands | 1.9 |
| June 2025 | 16.20 thousands | 0.6 |
| May 2025 | 15.90 thousands | 0.6 |
| April 2025 | 14.50 thousands | −0.7 |
| March 2025 | 12.40 thousands | −3.1 |
| February 2025 | 11.90 thousands | −1.7 |
| January 2025 | 12.00 thousands | −2.4 |
| December 2024 | 14.40 thousands | 0.7 |
| November 2024 | 15.50 thousands | −1.3 |
| October 2024 | 16.10 thousands | −1.2 |

## API

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

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