# All Employees: Leisure and Hospitality — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA)

All Employees: Leisure and Hospitality — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was down 0.6% year on year in September 2026, compared with 2.6% in August 2026.
The level stood at 108.1 thousands.
Over the past ten years it has ranged from −58.0% (Apr 2020) to 78.2% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.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-cambridge-newton-framingham-ma

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 108.1 thousands | −0.6 |
| August 2026 | 119.0 thousands | 2.6 |
| July 2026 | 120.6 thousands | 3.4 |
| June 2026 | 117.7 thousands | 1.4 |
| May 2026 | 110.9 thousands | −1.5 |
| April 2026 | 105.9 thousands | −1.2 |
| March 2026 | 102.5 thousands | −1.3 |
| February 2026 | 101.6 thousands | −1.3 |
| January 2026 | 103.0 thousands | −1.2 |
| December 2025 | 105.7 thousands | −2.0 |
| November 2025 | 105.8 thousands | −3.0 |
| October 2025 | 109.5 thousands | −1.7 |
| September 2025 | 108.8 thousands | −1.3 |
| August 2025 | 116.0 thousands | −1.1 |
| July 2025 | 116.6 thousands | −1.4 |
| June 2025 | 116.1 thousands | −2.4 |
| May 2025 | 112.6 thousands | −0.5 |
| April 2025 | 107.2 thousands | −0.6 |
| March 2025 | 103.9 thousands | −0.9 |
| February 2025 | 102.9 thousands | −0.4 |
| January 2025 | 104.3 thousands | 0.3 |
| December 2024 | 107.9 thousands | 0.2 |
| November 2024 | 109.1 thousands | 1.0 |
| October 2024 | 111.4 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```