# All Employees: Total Nonfarm — Panama City-Panama City Beach, FL (NSA)

All Employees: Total Nonfarm — Panama City-Panama City Beach, FL (NSA) was up 2.5% year on year in September 2026, compared with 1.7% in August 2026.
The level stood at 94.90 thousands.
That is the highest reading since April 2025.
Over the past ten years it has ranged from −13.6% (Apr 2020) to 16.6% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37460.PAYEMS.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-panama-city-panama-city-beach-fl-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 94.90 thousands | 2.5 |
| August 2026 | 95.10 thousands | 1.7 |
| July 2026 | 94.30 thousands | 1.3 |
| June 2026 | 94.90 thousands | 1.2 |
| May 2026 | 94.80 thousands | 0.5 |
| April 2026 | 94.60 thousands | 0.1 |
| March 2026 | 93.50 thousands | 0.0 |
| February 2026 | 92.20 thousands | 0.2 |
| January 2026 | 91.10 thousands | 0.1 |
| December 2025 | 92.40 thousands | 0.2 |
| November 2025 | 92.00 thousands | −1.5 |
| October 2025 | 92.30 thousands | −0.5 |
| September 2025 | 92.60 thousands | 1.1 |
| August 2025 | 93.50 thousands | 0.8 |
| July 2025 | 93.10 thousands | 1.0 |
| June 2025 | 93.80 thousands | 0.9 |
| May 2025 | 94.30 thousands | 1.6 |
| April 2025 | 94.50 thousands | 2.8 |
| March 2025 | 93.50 thousands | 2.4 |
| February 2025 | 92.00 thousands | 2.7 |
| January 2025 | 91.00 thousands | 3.2 |
| December 2024 | 92.20 thousands | 3.0 |
| November 2024 | 93.40 thousands | 3.8 |
| October 2024 | 92.80 thousands | 2.9 |

## API

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

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