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

All Employees: Heavy and Civil Engineering Construction — OH (statewide) (NSA) was up 4.9% year on year in September 2026, compared with 4.8% in August 2026.
The level stood at 38.40 thousands.
Over the past ten years it has ranged from −17.2% (Apr 2020) to 34.3% (May 2017), averaging 3.0%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 38.40 thousands | 4.9 |
| August 2026 | 39.20 thousands | 4.8 |
| July 2026 | 38.80 thousands | 4.9 |
| June 2026 | 38.30 thousands | 3.5 |
| May 2026 | 36.70 thousands | 1.1 |
| April 2026 | 35.10 thousands | 7.0 |
| March 2026 | 32.20 thousands | 8.4 |
| February 2026 | 30.50 thousands | 9.7 |
| January 2026 | 30.30 thousands | 13.9 |
| December 2025 | 33.00 thousands | 7.8 |
| November 2025 | 35.80 thousands | 5.3 |
| October 2025 | 36.50 thousands | 2.0 |
| September 2025 | 36.60 thousands | 3.7 |
| August 2025 | 37.40 thousands | 6.2 |
| July 2025 | 37.00 thousands | 5.4 |
| June 2025 | 37.00 thousands | 6.0 |
| May 2025 | 36.30 thousands | 8.4 |
| April 2025 | 32.80 thousands | 6.1 |
| March 2025 | 29.70 thousands | 3.1 |
| February 2025 | 27.80 thousands | 4.5 |
| January 2025 | 26.60 thousands | 3.1 |
| December 2024 | 30.60 thousands | 5.2 |
| November 2024 | 34.00 thousands | 4.6 |
| October 2024 | 35.80 thousands | 5.6 |

## API

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

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