# All Employees: Restaurants and Other Eating Places — IN (statewide) (NSA)

All Employees: Restaurants and Other Eating Places — IN (statewide) (NSA) was down 2.8% year on year in September 2026, compared with −3.2% in August 2026.
The level stood at 217.9 thousands.
Over the past ten years it has ranged from −40.7% (Apr 2020) to 51.1% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IN.PAYEMS.M.NSA.IND-70722500`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-restaurants-and-other-eating-places-in-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 217.9 thousands | −2.8 |
| August 2026 | 222.0 thousands | −3.2 |
| July 2026 | 219.7 thousands | −4.2 |
| June 2026 | 225.8 thousands | −1.9 |
| May 2026 | 226.4 thousands | −1.3 |
| April 2026 | 220.4 thousands | −2.0 |
| March 2026 | 219.0 thousands | −1.0 |
| February 2026 | 213.0 thousands | −2.5 |
| January 2026 | 212.2 thousands | −2.6 |
| December 2025 | 218.6 thousands | −2.4 |
| November 2025 | 222.8 thousands | −0.1 |
| October 2025 | 222.6 thousands | 0.3 |
| September 2025 | 224.2 thousands | 0.4 |
| August 2025 | 229.4 thousands | 0.4 |
| July 2025 | 229.4 thousands | 0.2 |
| June 2025 | 230.1 thousands | 0.7 |
| May 2025 | 229.4 thousands | −0.1 |
| April 2025 | 224.8 thousands | −0.4 |
| March 2025 | 221.2 thousands | −0.5 |
| February 2025 | 218.4 thousands | −0.3 |
| January 2025 | 217.9 thousands | 0.0 |
| December 2024 | 224.0 thousands | −0.04 |
| November 2024 | 223.1 thousands | −0.6 |
| October 2024 | 222.0 thousands | −0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-70722500"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-70722500",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
