# All Employees: Employment Services — Tampa, FL Metropolitan Division (NSA)

All Employees: Employment Services — Tampa, FL Metropolitan Division (NSA) was up 3.0% year on year in September 2026, compared with 4.9% in August 2026.
The level stood at 27.80 thousands.
Over the past ten years it has ranged from −17.0% (Apr 2020) to 30.0% (Apr 2021), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45294.PAYEMS.M.NSA.IND-60561300`
- Frequency: monthly
- Units: thousands
- Coverage: 1997-01-01 to 2026-09-01 (357 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-employment-services-tampa-fl-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 27.80 thousands | 3.0 |
| August 2026 | 28.10 thousands | 4.9 |
| July 2026 | 27.60 thousands | 1.1 |
| June 2026 | 28.00 thousands | −3.1 |
| May 2026 | 28.10 thousands | −1.1 |
| April 2026 | 27.80 thousands | −1.8 |
| March 2026 | 27.60 thousands | −1.1 |
| February 2026 | 26.10 thousands | −7.1 |
| January 2026 | 25.40 thousands | −8.6 |
| December 2025 | 26.30 thousands | −8.7 |
| November 2025 | 27.10 thousands | −7.2 |
| October 2025 | 27.10 thousands | −0.4 |
| September 2025 | 27.00 thousands | −3.2 |
| August 2025 | 26.80 thousands | −7.3 |
| July 2025 | 27.30 thousands | −4.9 |
| June 2025 | 28.90 thousands | 0.3 |
| May 2025 | 28.40 thousands | −1.0 |
| April 2025 | 28.30 thousands | 1.8 |
| March 2025 | 27.90 thousands | −0.7 |
| February 2025 | 28.10 thousands | −0.4 |
| January 2025 | 27.80 thousands | −1.4 |
| December 2024 | 28.80 thousands | 2.1 |
| November 2024 | 29.20 thousands | 0.7 |
| October 2024 | 27.20 thousands | −6.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-60561300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-60561300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```