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

All Employees: Restaurants and Other Eating Places — OR (statewide) (NSA) was down 1.0% year on year in September 2026, compared with −1.3% in August 2026.
The level stood at 135.9 thousands.
Over the past ten years it has ranged from −49.0% (Apr 2020) to 64.1% (Apr 2021), averaging 1.1%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 135.9 thousands | −1.0 |
| August 2026 | 138.7 thousands | −1.3 |
| July 2026 | 139.8 thousands | −0.7 |
| June 2026 | 138.8 thousands | −0.9 |
| May 2026 | 137.9 thousands | 0.07 |
| April 2026 | 135.2 thousands | 0.2 |
| March 2026 | 133.5 thousands | 1.0 |
| February 2026 | 132.7 thousands | 1.3 |
| January 2026 | 135.2 thousands | 2.8 |
| December 2025 | 136.1 thousands | 1.6 |
| November 2025 | 137.4 thousands | 2.5 |
| October 2025 | 137.4 thousands | 1.3 |
| September 2025 | 137.3 thousands | −1.5 |
| August 2025 | 140.5 thousands | −0.5 |
| July 2025 | 140.8 thousands | −0.4 |
| June 2025 | 140.1 thousands | −0.7 |
| May 2025 | 137.8 thousands | −0.9 |
| April 2025 | 134.9 thousands | −1.0 |
| March 2025 | 132.2 thousands | −1.6 |
| February 2025 | 131.0 thousands | −1.1 |
| January 2025 | 131.5 thousands | −0.08 |
| December 2024 | 133.9 thousands | −1.1 |
| November 2024 | 134.1 thousands | −1.3 |
| October 2024 | 135.7 thousands | −0.9 |

## API

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

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