# All Employees: Nonresidential Building Construction — OH (statewide) (NSA)

All Employees: Nonresidential Building Construction — OH (statewide) (NSA) was up 4.2% year on year in September 2026, compared with 7.2% in August 2026.
The level stood at 32.20 thousands.
Over the past ten years it has ranged from −13.1% (Apr 2020) to 9.8% (May 2022), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OH.PAYEMS.M.NSA.IND-20236200`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-nonresidential-building-construction-oh-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 32.20 thousands | 4.2 |
| August 2026 | 32.90 thousands | 7.2 |
| July 2026 | 32.80 thousands | 6.5 |
| June 2026 | 32.30 thousands | 3.5 |
| May 2026 | 31.00 thousands | 2.0 |
| April 2026 | 30.50 thousands | 0.3 |
| March 2026 | 29.50 thousands | −2.3 |
| February 2026 | 28.80 thousands | −3.4 |
| January 2026 | 28.80 thousands | −2.4 |
| December 2025 | 30.20 thousands | −3.5 |
| November 2025 | 30.90 thousands | −1.3 |
| October 2025 | 31.10 thousands | −1.6 |
| September 2025 | 30.90 thousands | −2.5 |
| August 2025 | 30.70 thousands | −2.8 |
| July 2025 | 30.80 thousands | −2.5 |
| June 2025 | 31.20 thousands | −1.3 |
| May 2025 | 30.40 thousands | −1.9 |
| April 2025 | 30.40 thousands | 0.7 |
| March 2025 | 30.20 thousands | 0.7 |
| February 2025 | 29.80 thousands | 1.0 |
| January 2025 | 29.50 thousands | 0.7 |
| December 2024 | 31.30 thousands | 4.7 |
| November 2024 | 31.30 thousands | 4.3 |
| October 2024 | 31.60 thousands | 4.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-OH.PAYEMS.M.NSA.IND-20236200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-OH.PAYEMS.M.NSA.IND-20236200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```