# All Employees: Leisure and Hospitality — Panama City-Panama City Beach, FL (NSA)

All Employees: Leisure and Hospitality — Panama City-Panama City Beach, FL (NSA) was up 11.2% year on year in September 2026, compared with 8.7% in August 2026.
The level stood at 16.90 thousands.
That is the highest reading since September 2021.
Over the past ten years it has ranged from −38.6% (Apr 2020) to 69.1% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37460.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-panama-city-panama-city-beach-fl

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 16.90 thousands | 11.2 |
| August 2026 | 17.40 thousands | 8.7 |
| July 2026 | 17.90 thousands | 7.8 |
| June 2026 | 17.90 thousands | 6.5 |
| May 2026 | 17.30 thousands | 6.8 |
| April 2026 | 17.00 thousands | 6.2 |
| March 2026 | 16.50 thousands | 5.1 |
| February 2026 | 15.30 thousands | 6.2 |
| January 2026 | 14.60 thousands | 5.8 |
| December 2025 | 14.70 thousands | 5.0 |
| November 2025 | 14.80 thousands | 3.5 |
| October 2025 | 15.10 thousands | 1.3 |
| September 2025 | 15.20 thousands | 2.7 |
| August 2025 | 16.00 thousands | 2.6 |
| July 2025 | 16.60 thousands | 3.1 |
| June 2025 | 16.80 thousands | 3.1 |
| May 2025 | 16.20 thousands | 3.2 |
| April 2025 | 16.00 thousands | 6.7 |
| March 2025 | 15.70 thousands | 6.1 |
| February 2025 | 14.40 thousands | 5.1 |
| January 2025 | 13.80 thousands | 5.3 |
| December 2024 | 14.00 thousands | 6.1 |
| November 2024 | 14.30 thousands | 2.9 |
| October 2024 | 14.90 thousands | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37460.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37460.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```