# All Employees: Food Services and Drinking Places — Tampa, FL Metropolitan Division (NSA)

All Employees: Food Services and Drinking Places — Tampa, FL Metropolitan Division (NSA) was down 2.5% year on year in September 2026, compared with −2.6% in August 2026.
The level stood at 78.80 thousands.
Over the past ten years it has ranged from −40.3% (Apr 2020) to 53.9% (Apr 2021), averaging 2.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45294.PAYEMS.M.NSA.IND-70722000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-food-services-and-drinking-places-tampa-fl-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 78.80 thousands | −2.5 |
| August 2026 | 79.50 thousands | −2.6 |
| July 2026 | 80.00 thousands | −1.4 |
| June 2026 | 80.90 thousands | −1.8 |
| May 2026 | 81.80 thousands | −2.3 |
| April 2026 | 82.30 thousands | −2.1 |
| March 2026 | 81.50 thousands | −2.5 |
| February 2026 | 81.20 thousands | −2.1 |
| January 2026 | 81.70 thousands | −0.5 |
| December 2025 | 81.70 thousands | −0.8 |
| November 2025 | 81.20 thousands | −1.2 |
| October 2025 | 81.20 thousands | 6.6 |
| September 2025 | 80.80 thousands | −0.1 |
| August 2025 | 81.60 thousands | 1.0 |
| July 2025 | 81.10 thousands | 0.2 |
| June 2025 | 82.40 thousands | 0.4 |
| May 2025 | 83.70 thousands | 0.0 |
| April 2025 | 84.10 thousands | 0.5 |
| March 2025 | 83.60 thousands | −0.5 |
| February 2025 | 82.90 thousands | −1.8 |
| January 2025 | 82.10 thousands | −1.9 |
| December 2024 | 82.40 thousands | −0.4 |
| November 2024 | 82.20 thousands | −1.2 |
| October 2024 | 76.20 thousands | −7.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-70722000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45294.PAYEMS.M.NSA.IND-70722000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```