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

All Employees: Leisure and Hospitality — FL (statewide) (SA) was up 1.3% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 1,345.3 thousands.
Over the past ten years it has ranged from −43.4% (Apr 2020) to 49.6% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.PAYEMS.M.SA.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-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,345.3 thousands | 1.3 |
| August 2026 | 1,340.2 thousands | 0.8 |
| July 2026 | 1,345.6 thousands | 1.1 |
| June 2026 | 1,344.0 thousands | 0.9 |
| May 2026 | 1,336.6 thousands | 0.3 |
| April 2026 | 1,335.7 thousands | 0.06 |
| March 2026 | 1,330.1 thousands | −0.3 |
| February 2026 | 1,324.8 thousands | −0.7 |
| January 2026 | 1,327.6 thousands | −0.4 |
| December 2025 | 1,327.7 thousands | −0.4 |
| November 2025 | 1,326.5 thousands | −0.1 |
| October 2025 | 1,325.5 thousands | 2.5 |
| September 2025 | 1,328.5 thousands | 0.08 |
| August 2025 | 1,330.1 thousands | 0.7 |
| July 2025 | 1,330.9 thousands | 0.8 |
| June 2025 | 1,331.7 thousands | 0.8 |
| May 2025 | 1,333.0 thousands | 0.5 |
| April 2025 | 1,334.9 thousands | 0.7 |
| March 2025 | 1,333.7 thousands | 0.5 |
| February 2025 | 1,333.9 thousands | 0.6 |
| January 2025 | 1,333.6 thousands | 0.6 |
| December 2024 | 1,332.7 thousands | 1.1 |
| November 2024 | 1,328.3 thousands | 0.8 |
| October 2024 | 1,293.4 thousands | −1.5 |

## API

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

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