# All Employees: Financial Activities — Tampa, FL Metropolitan Division (NSA)

All Employees: Financial Activities — Tampa, FL Metropolitan Division (NSA) was up 0.5% year on year in September 2026, compared with 1.1% in August 2026.
The level stood at 110.0 thousands.
Over the past ten years it has ranged from −1.2% (Oct 2024) to 9.4% (Apr 2022), averaging 3.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45294.PAYEMS.M.NSA.IND-55000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-financial-activities-tampa-fl-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 110.0 thousands | 0.5 |
| August 2026 | 110.6 thousands | 1.1 |
| July 2026 | 109.6 thousands | 0.3 |
| June 2026 | 109.4 thousands | 0.6 |
| May 2026 | 108.9 thousands | −0.09 |
| April 2026 | 109.8 thousands | 0.9 |
| March 2026 | 109.3 thousands | 0.2 |
| February 2026 | 110.1 thousands | 0.9 |
| January 2026 | 109.0 thousands | 0.0 |
| December 2025 | 110.3 thousands | 2.0 |
| November 2025 | 109.9 thousands | 1.9 |
| October 2025 | 109.8 thousands | 2.0 |
| September 2025 | 109.5 thousands | 1.5 |
| August 2025 | 109.4 thousands | 1.0 |
| July 2025 | 109.3 thousands | 1.0 |
| June 2025 | 108.8 thousands | 0.5 |
| May 2025 | 109.0 thousands | 0.6 |
| April 2025 | 108.8 thousands | 0.0 |
| March 2025 | 109.1 thousands | 0.09 |
| February 2025 | 109.1 thousands | 0.6 |
| January 2025 | 109.0 thousands | 0.8 |
| December 2024 | 108.1 thousands | −1.0 |
| November 2024 | 107.8 thousands | −1.0 |
| October 2024 | 107.6 thousands | −1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```