# Average Weekly Earnings: Private Service Providing — FL (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — FL (statewide) (NSA) was up 3.3% year on year in September 2026, compared with 6.9% in August 2026.
The level stood at 1,189.8 USD/week.
Over the past ten years it has ranged from −0.4% (Jul 2019) to 9.5% (Dec 2024), averaging 4.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-fl-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,189.8 USD/week | 3.3 |
| August 2026 | 1,229.2 USD/week | 6.9 |
| July 2026 | 1,200.5 USD/week | 5.5 |
| June 2026 | 1,186.7 USD/week | 2.5 |
| May 2026 | 1,186.4 USD/week | 4.7 |
| April 2026 | 1,186.7 USD/week | 5.1 |
| March 2026 | 1,219.0 USD/week | 4.8 |
| February 2026 | 1,209.7 USD/week | 3.8 |
| January 2026 | 1,178.5 USD/week | 5.0 |
| December 2025 | 1,172.0 USD/week | 1.7 |
| November 2025 | 1,197.7 USD/week | 8.1 |
| October 2025 | 1,156.2 USD/week | 7.2 |
| September 2025 | 1,152.0 USD/week | 5.0 |
| August 2025 | 1,150.3 USD/week | 8.2 |
| July 2025 | 1,137.7 USD/week | 9.2 |
| June 2025 | 1,157.3 USD/week | 8.2 |
| May 2025 | 1,133.6 USD/week | 7.4 |
| April 2025 | 1,129.3 USD/week | 6.1 |
| March 2025 | 1,163.1 USD/week | 8.7 |
| February 2025 | 1,165.2 USD/week | 8.5 |
| January 2025 | 1,122.2 USD/week | 6.5 |
| December 2024 | 1,152.9 USD/week | 9.5 |
| November 2024 | 1,107.7 USD/week | 6.6 |
| October 2024 | 1,079.0 USD/week | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-FL.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-FL.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```