# All Employees: Leisure and Hospitality — FL (statewide) (NSA)

All Employees: Leisure and Hospitality — FL (statewide) (NSA) was up 1.2% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 1,314.1 thousands.
Over the past ten years it has ranged from −42.9% (Apr 2020) to 48.9% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-fl-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,314.1 thousands | 1.2 |
| August 2026 | 1,323.9 thousands | 0.9 |
| July 2026 | 1,338.7 thousands | 1.7 |
| June 2026 | 1,347.1 thousands | 0.9 |
| May 2026 | 1,359.5 thousands | 0.2 |
| April 2026 | 1,363.0 thousands | −0.2 |
| March 2026 | 1,352.6 thousands | −0.7 |
| February 2026 | 1,337.1 thousands | −0.6 |
| January 2026 | 1,322.7 thousands | −0.08 |
| December 2025 | 1,324.8 thousands | −0.4 |
| November 2025 | 1,321.7 thousands | 0.04 |
| October 2025 | 1,305.7 thousands | 2.5 |
| September 2025 | 1,298.6 thousands | −0.05 |
| August 2025 | 1,312.3 thousands | 0.6 |
| July 2025 | 1,316.2 thousands | 0.7 |
| June 2025 | 1,335.3 thousands | 0.7 |
| May 2025 | 1,357.2 thousands | 0.6 |
| April 2025 | 1,366.1 thousands | 0.8 |
| March 2025 | 1,362.2 thousands | 0.6 |
| February 2025 | 1,345.1 thousands | 0.8 |
| January 2025 | 1,323.8 thousands | 0.8 |
| December 2024 | 1,329.9 thousands | 1.2 |
| November 2024 | 1,321.2 thousands | 0.7 |
| October 2024 | 1,274.4 thousands | −1.6 |

## API

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

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