# Average Weekly Earnings: Leisure and Hospitality — FL (statewide) (NSA)

Average Weekly Earnings: Leisure and Hospitality — FL (statewide) (NSA) was up 6.2% year on year in September 2026, compared with 7.5% in August 2026.
The level stood at 618.2 USD/week.
That is the lowest reading since September 2025.
Over the past ten years it has ranged from −12.8% (Apr 2020) to 22.3% (Apr 2021), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.AWE.M.NSA.IND-70000000`
- 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-leisure-and-hospitality-fl-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 618.2 USD/week | 6.2 |
| August 2026 | 626.2 USD/week | 7.5 |
| July 2026 | 630.4 USD/week | 7.2 |
| June 2026 | 631.0 USD/week | 6.3 |
| May 2026 | 635.7 USD/week | 7.6 |
| April 2026 | 657.9 USD/week | 9.3 |
| March 2026 | 664.3 USD/week | 7.4 |
| February 2026 | 665.4 USD/week | 9.5 |
| January 2026 | 637.2 USD/week | 11.0 |
| December 2025 | 626.0 USD/week | 7.1 |
| November 2025 | 616.9 USD/week | 9.9 |
| October 2025 | 602.5 USD/week | 13.0 |
| September 2025 | 582.0 USD/week | 4.6 |
| August 2025 | 582.5 USD/week | 3.5 |
| July 2025 | 588.1 USD/week | 4.9 |
| June 2025 | 593.4 USD/week | 3.5 |
| May 2025 | 590.9 USD/week | 0.3 |
| April 2025 | 601.9 USD/week | 0.4 |
| March 2025 | 618.5 USD/week | 0.6 |
| February 2025 | 607.6 USD/week | 0.8 |
| January 2025 | 574.2 USD/week | −2.3 |
| December 2024 | 584.7 USD/week | −2.6 |
| November 2024 | 561.1 USD/week | −6.4 |
| October 2024 | 533.0 USD/week | −8.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-FL.AWE.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-FL.AWE.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```