# Average Weekly Earnings: Trade, Transportation, and Utilities — OH (statewide) (NSA)

Average Weekly Earnings: Trade, Transportation, and Utilities — OH (statewide) (NSA) was up 3.3% year on year in September 2026, compared with 5.4% in August 2026.
The level stood at 1,035.2 USD/week.
Over the past ten years it has ranged from −6.7% (Jul 2024) to 12.4% (May 2021), averaging 2.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OH.AWE.M.NSA.IND-40000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-trade-transportation-and-utilities-oh-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,035.2 USD/week | 3.3 |
| August 2026 | 1,053.4 USD/week | 5.4 |
| July 2026 | 1,031.4 USD/week | 4.0 |
| June 2026 | 1,026.3 USD/week | 4.5 |
| May 2026 | 1,015.8 USD/week | 4.8 |
| April 2026 | 1,015.0 USD/week | 4.1 |
| March 2026 | 1,007.5 USD/week | 5.2 |
| February 2026 | 998.7 USD/week | 5.1 |
| January 2026 | 981.1 USD/week | 6.0 |
| December 2025 | 981.3 USD/week | 3.2 |
| November 2025 | 1,009.1 USD/week | 6.4 |
| October 2025 | 1,002.1 USD/week | 7.7 |
| September 2025 | 1,001.9 USD/week | 5.9 |
| August 2025 | 999.2 USD/week | 8.8 |
| July 2025 | 991.5 USD/week | 8.2 |
| June 2025 | 982.0 USD/week | 3.6 |
| May 2025 | 968.9 USD/week | 1.4 |
| April 2025 | 974.8 USD/week | 2.0 |
| March 2025 | 958.1 USD/week | 0.8 |
| February 2025 | 950.3 USD/week | 0.8 |
| January 2025 | 925.8 USD/week | −1.5 |
| December 2024 | 950.4 USD/week | −2.7 |
| November 2024 | 948.7 USD/week | −3.7 |
| October 2024 | 930.4 USD/week | −5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-OH.AWE.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-OH.AWE.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```