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

Average Weekly Earnings: Trade, Transportation, and Utilities — FL (statewide) (NSA) was up 8.7% year on year in September 2026, compared with 11.5% in August 2026.
The level stood at 1,063.7 USD/week.
Over the past ten years it has ranged from −3.7% (Jun 2017) to 12.3% (Aug 2025), averaging 4.0%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,063.7 USD/week | 8.7 |
| August 2026 | 1,088.3 USD/week | 11.5 |
| July 2026 | 1,063.4 USD/week | 10.0 |
| June 2026 | 1,036.9 USD/week | 6.0 |
| May 2026 | 1,037.6 USD/week | 9.5 |
| April 2026 | 1,041.3 USD/week | 8.3 |
| March 2026 | 1,056.0 USD/week | 6.6 |
| February 2026 | 1,056.9 USD/week | 9.1 |
| January 2026 | 1,007.7 USD/week | 8.1 |
| December 2025 | 995.0 USD/week | 5.5 |
| November 2025 | 999.2 USD/week | 10.2 |
| October 2025 | 979.7 USD/week | 8.6 |
| September 2025 | 978.7 USD/week | 11.2 |
| August 2025 | 976.5 USD/week | 12.3 |
| July 2025 | 966.5 USD/week | 11.8 |
| June 2025 | 978.4 USD/week | 9.3 |
| May 2025 | 947.8 USD/week | 9.0 |
| April 2025 | 961.8 USD/week | 11.2 |
| March 2025 | 990.3 USD/week | 10.5 |
| February 2025 | 968.8 USD/week | 5.6 |
| January 2025 | 931.9 USD/week | 5.5 |
| December 2024 | 942.7 USD/week | 6.8 |
| November 2024 | 906.6 USD/week | 6.1 |
| October 2024 | 901.8 USD/week | 3.1 |

## API

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

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