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

All Employees: Food Services and Drinking Places — OH (statewide) (NSA) was down 1.2% year on year in September 2026, compared with −1.4% in August 2026.
The level stood at 443.4 thousands.
Over the past ten years it has ranged from −45.5% (Apr 2020) to 61.3% (Apr 2021), averaging 0.7%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 443.4 thousands | −1.2 |
| August 2026 | 453.7 thousands | −1.4 |
| July 2026 | 456.5 thousands | 0.04 |
| June 2026 | 454.9 thousands | −0.6 |
| May 2026 | 451.1 thousands | −1.5 |
| April 2026 | 442.0 thousands | −1.2 |
| March 2026 | 435.7 thousands | −0.7 |
| February 2026 | 431.8 thousands | 0.1 |
| January 2026 | 432.1 thousands | 0.3 |
| December 2025 | 443.0 thousands | −0.8 |
| November 2025 | 444.5 thousands | 0.1 |
| October 2025 | 447.1 thousands | 0.2 |
| September 2025 | 448.7 thousands | 0.2 |
| August 2025 | 460.3 thousands | 0.5 |
| July 2025 | 456.3 thousands | −0.4 |
| June 2025 | 457.7 thousands | −0.3 |
| May 2025 | 457.9 thousands | −0.5 |
| April 2025 | 447.2 thousands | −0.5 |
| March 2025 | 438.7 thousands | −1.0 |
| February 2025 | 431.3 thousands | −0.7 |
| January 2025 | 430.6 thousands | −0.5 |
| December 2024 | 446.5 thousands | 0.5 |
| November 2024 | 444.0 thousands | 0.2 |
| October 2024 | 446.2 thousands | −0.07 |

## API

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

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