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

All Employees: Food Services and Drinking Places — NY (statewide) (NSA) was down 2.3% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 661.9 thousands.
Over the past ten years it has ranged from −64.9% (Apr 2020) to 109.7% (Apr 2021), averaging 2.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 661.9 thousands | −2.3 |
| August 2026 | 680.9 thousands | −0.2 |
| July 2026 | 676.4 thousands | −0.8 |
| June 2026 | 685.6 thousands | −0.6 |
| May 2026 | 672.5 thousands | −1.0 |
| April 2026 | 647.9 thousands | −0.9 |
| March 2026 | 638.5 thousands | −2.2 |
| February 2026 | 631.0 thousands | −1.7 |
| January 2026 | 630.4 thousands | −1.1 |
| December 2025 | 657.4 thousands | −2.3 |
| November 2025 | 662.9 thousands | −1.1 |
| October 2025 | 666.1 thousands | −1.2 |
| September 2025 | 677.5 thousands | −0.4 |
| August 2025 | 682.4 thousands | 0.3 |
| July 2025 | 681.8 thousands | −0.2 |
| June 2025 | 689.8 thousands | −0.8 |
| May 2025 | 679.0 thousands | −0.09 |
| April 2025 | 654.1 thousands | −1.0 |
| March 2025 | 652.8 thousands | 0.6 |
| February 2025 | 641.9 thousands | 0.8 |
| January 2025 | 637.6 thousands | 1.3 |
| December 2024 | 673.2 thousands | 1.3 |
| November 2024 | 670.4 thousands | 1.2 |
| October 2024 | 674.5 thousands | 1.3 |

## API

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

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