# All Employees: Leisure and Hospitality — MA (statewide) (NSA)

All Employees: Leisure and Hospitality — MA (statewide) (NSA) was down 1.4% year on year in September 2026, compared with 1.7% in August 2026.
The level stood at 367.3 thousands.
That is the lowest reading since June 2025.
Over the past ten years it has ranged from −59.9% (Apr 2020) to 82.6% (Apr 2021), averaging 2.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 367.3 thousands | −1.4 |
| August 2026 | 403.4 thousands | 1.7 |
| July 2026 | 406.8 thousands | 1.9 |
| June 2026 | 396.4 thousands | 1.5 |
| May 2026 | 369.8 thousands | −1.3 |
| April 2026 | 351.2 thousands | −0.3 |
| March 2026 | 337.8 thousands | −0.6 |
| February 2026 | 335.0 thousands | 0.06 |
| January 2026 | 339.3 thousands | 0.7 |
| December 2025 | 350.3 thousands | −0.6 |
| November 2025 | 350.5 thousands | −0.8 |
| October 2025 | 368.7 thousands | −0.2 |
| September 2025 | 372.5 thousands | −0.7 |
| August 2025 | 396.5 thousands | −0.2 |
| July 2025 | 399.3 thousands | 0.08 |
| June 2025 | 390.7 thousands | −1.5 |
| May 2025 | 374.8 thousands | 0.4 |
| April 2025 | 352.4 thousands | −0.3 |
| March 2025 | 340.0 thousands | −0.06 |
| February 2025 | 334.8 thousands | 0.2 |
| January 2025 | 336.8 thousands | 0.3 |
| December 2024 | 352.5 thousands | 0.1 |
| November 2024 | 353.5 thousands | 0.03 |
| October 2024 | 369.6 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MA.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MA.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```