# All Employees: Food Services and Drinking Places — St. Louis, MO-IL (NSA)

All Employees: Food Services and Drinking Places — St. Louis, MO-IL (NSA) was up 0.6% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 111.3 thousands.
Over the past ten years it has ranged from −45.3% (Apr 2020) to 55.2% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41180.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-st-louis-mo-il-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 111.3 thousands | 0.6 |
| August 2026 | 115.5 thousands | 0.4 |
| July 2026 | 118.2 thousands | 3.4 |
| June 2026 | 118.8 thousands | 3.3 |
| May 2026 | 115.1 thousands | −0.09 |
| April 2026 | 111.2 thousands | −1.8 |
| March 2026 | 109.6 thousands | −0.5 |
| February 2026 | 106.9 thousands | −1.4 |
| January 2026 | 106.7 thousands | −1.9 |
| December 2025 | 109.2 thousands | −3.2 |
| November 2025 | 110.4 thousands | −0.8 |
| October 2025 | 111.5 thousands | −0.3 |
| September 2025 | 110.6 thousands | −1.5 |
| August 2025 | 115.0 thousands | −0.2 |
| July 2025 | 114.3 thousands | −0.5 |
| June 2025 | 115.0 thousands | −0.9 |
| May 2025 | 115.2 thousands | −0.9 |
| April 2025 | 113.2 thousands | −0.9 |
| March 2025 | 110.2 thousands | −1.5 |
| February 2025 | 108.4 thousands | −1.6 |
| January 2025 | 108.8 thousands | −1.3 |
| December 2024 | 112.8 thousands | 0.4 |
| November 2024 | 111.3 thousands | −0.09 |
| October 2024 | 111.8 thousands | 0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-70722000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-70722000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```