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

All Employees: Restaurants and Other Eating Places — NY (statewide) (NSA) was down 2.2% year on year in September 2026, compared with −0.7% in August 2026.
The level stood at 567.5 thousands.
Over the past ten years it has ranged from −64.1% (Apr 2020) to 113.0% (Apr 2021), averaging 1.9%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 567.5 thousands | −2.2 |
| August 2026 | 588.7 thousands | −0.7 |
| July 2026 | 586.7 thousands | −1.3 |
| June 2026 | 589.1 thousands | −1.2 |
| May 2026 | 573.2 thousands | −1.6 |
| April 2026 | 555.5 thousands | −1.3 |
| March 2026 | 549.5 thousands | −2.3 |
| February 2026 | 543.3 thousands | −1.9 |
| January 2026 | 545.2 thousands | −1.7 |
| December 2025 | 564.4 thousands | −2.4 |
| November 2025 | 569.1 thousands | −1.2 |
| October 2025 | 571.8 thousands | −1.0 |
| September 2025 | 580.4 thousands | −0.2 |
| August 2025 | 592.7 thousands | 0.3 |
| July 2025 | 594.5 thousands | −0.4 |
| June 2025 | 596.1 thousands | −1.0 |
| May 2025 | 582.3 thousands | −0.4 |
| April 2025 | 562.9 thousands | −0.7 |
| March 2025 | 562.6 thousands | 0.4 |
| February 2025 | 553.7 thousands | 0.5 |
| January 2025 | 554.7 thousands | 0.9 |
| December 2024 | 578.0 thousands | 1.1 |
| November 2024 | 576.0 thousands | 1.0 |
| October 2024 | 577.5 thousands | 0.7 |

## API

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

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