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

All Employees: Food Services and Drinking Places — MA (statewide) (NSA) was down 1.7% year on year in September 2026, compared with 0.07% in August 2026.
The level stood at 261.7 thousands.
Over the past ten years it has ranged from −60.1% (Apr 2020) to 90.8% (Apr 2021), averaging 1.5%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 261.7 thousands | −1.7 |
| August 2026 | 277.2 thousands | 0.07 |
| July 2026 | 278.3 thousands | 0.5 |
| June 2026 | 275.2 thousands | 0.04 |
| May 2026 | 262.4 thousands | −2.0 |
| April 2026 | 253.8 thousands | −0.9 |
| March 2026 | 246.3 thousands | −1.0 |
| February 2026 | 245.1 thousands | −0.2 |
| January 2026 | 247.8 thousands | −0.2 |
| December 2025 | 255.0 thousands | −1.0 |
| November 2025 | 255.8 thousands | −1.0 |
| October 2025 | 264.7 thousands | −0.1 |
| September 2025 | 266.1 thousands | −0.8 |
| August 2025 | 277.0 thousands | −0.2 |
| July 2025 | 276.9 thousands | −0.6 |
| June 2025 | 275.1 thousands | −1.9 |
| May 2025 | 267.7 thousands | −0.7 |
| April 2025 | 256.1 thousands | −1.0 |
| March 2025 | 248.8 thousands | −0.8 |
| February 2025 | 245.6 thousands | −0.7 |
| January 2025 | 248.2 thousands | 0.08 |
| December 2024 | 257.7 thousands | −0.3 |
| November 2024 | 258.5 thousands | 0.04 |
| October 2024 | 265.0 thousands | 0.4 |

## API

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

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