# All Employees: Food Services and Drinking Places — IN (statewide) (NSA)

All Employees: Food Services and Drinking Places — IN (statewide) (NSA) was down 3.4% year on year in September 2026, compared with −4.2% in August 2026.
The level stood at 239.1 thousands.
Over the past ten years it has ranged from −42.1% (Apr 2020) to 53.9% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IN.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-in-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 239.1 thousands | −3.4 |
| August 2026 | 241.9 thousands | −4.2 |
| July 2026 | 239.5 thousands | −4.6 |
| June 2026 | 245.3 thousands | −2.6 |
| May 2026 | 246.9 thousands | −2.3 |
| April 2026 | 240.9 thousands | −2.9 |
| March 2026 | 238.9 thousands | −1.9 |
| February 2026 | 232.7 thousands | −3.3 |
| January 2026 | 231.8 thousands | −3.2 |
| December 2025 | 238.8 thousands | −3.2 |
| November 2025 | 244.0 thousands | −1.1 |
| October 2025 | 245.0 thousands | −0.3 |
| September 2025 | 247.4 thousands | 0.2 |
| August 2025 | 252.4 thousands | 0.2 |
| July 2025 | 251.1 thousands | 0.2 |
| June 2025 | 251.9 thousands | 0.6 |
| May 2025 | 252.8 thousands | 0.08 |
| April 2025 | 248.1 thousands | −0.2 |
| March 2025 | 243.6 thousands | −0.4 |
| February 2025 | 240.6 thousands | −0.2 |
| January 2025 | 239.4 thousands | 0.0 |
| December 2024 | 246.8 thousands | 0.0 |
| November 2024 | 246.7 thousands | −0.4 |
| October 2024 | 245.8 thousands | −0.6 |

## API

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

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