# All Employees: Total Nonfarm — Boston-Cambridge-Newton, MA-NH (SA)

All Employees: Total Nonfarm — Boston-Cambridge-Newton, MA-NH (SA) was down 0.04% year on year in September 2026, compared with −0.04% in August 2026.
The level stood at 2,731.2 thousands.
Over the past ten years it has ranged from −16.7% (Apr 2020) to 13.2% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-14460.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-boston-cambridge-newton-ma-nh-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,731.2 thousands | −0.04 |
| August 2026 | 2,734.2 thousands | −0.04 |
| July 2026 | 2,744.6 thousands | 0.2 |
| June 2026 | 2,747.9 thousands | 0.4 |
| May 2026 | 2,738.7 thousands | −0.3 |
| April 2026 | 2,739.2 thousands | −0.4 |
| March 2026 | 2,732.1 thousands | −0.8 |
| February 2026 | 2,728.8 thousands | −0.9 |
| January 2026 | 2,729.8 thousands | −1.1 |
| December 2025 | 2,729.2 thousands | −1.1 |
| November 2025 | 2,727.6 thousands | −1.2 |
| October 2025 | 2,729.4 thousands | −1.2 |
| September 2025 | 2,732.4 thousands | −1.0 |
| August 2025 | 2,735.2 thousands | −0.9 |
| July 2025 | 2,739.8 thousands | −0.7 |
| June 2025 | 2,736.0 thousands | −1.1 |
| May 2025 | 2,747.1 thousands | −0.5 |
| April 2025 | 2,750.6 thousands | −0.3 |
| March 2025 | 2,752.8 thousands | −0.5 |
| February 2025 | 2,754.1 thousands | −0.3 |
| January 2025 | 2,759.9 thousands | 0.00 |
| December 2024 | 2,759.0 thousands | −0.2 |
| November 2024 | 2,760.7 thousands | −0.03 |
| October 2024 | 2,761.5 thousands | 0.03 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```