# All Employees: Service-Providing — Tampa, FL Metropolitan Division (NSA)

All Employees: Service-Providing — Tampa, FL Metropolitan Division (NSA) was up 1.2% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 966.9 thousands.
Over the past ten years it has ranged from −9.8% (Apr 2020) to 11.4% (Apr 2021), averaging 2.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45294.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-tampa-fl-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 966.9 thousands | 1.2 |
| August 2026 | 966.1 thousands | 0.9 |
| July 2026 | 951.7 thousands | 0.4 |
| June 2026 | 953.1 thousands | 0.2 |
| May 2026 | 963.2 thousands | 0.02 |
| April 2026 | 967.8 thousands | 0.1 |
| March 2026 | 962.4 thousands | −0.2 |
| February 2026 | 961.1 thousands | −0.3 |
| January 2026 | 957.3 thousands | −0.1 |
| December 2025 | 968.9 thousands | 0.4 |
| November 2025 | 965.3 thousands | −0.1 |
| October 2025 | 960.4 thousands | 1.7 |
| September 2025 | 955.0 thousands | 0.5 |
| August 2025 | 957.3 thousands | 0.8 |
| July 2025 | 947.9 thousands | 0.8 |
| June 2025 | 950.8 thousands | 0.8 |
| May 2025 | 963.0 thousands | 1.3 |
| April 2025 | 966.6 thousands | 1.5 |
| March 2025 | 964.1 thousands | 1.3 |
| February 2025 | 964.2 thousands | 1.2 |
| January 2025 | 958.6 thousands | 1.2 |
| December 2024 | 964.8 thousands | 1.2 |
| November 2024 | 966.6 thousands | 1.3 |
| October 2024 | 944.1 thousands | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```