# All Employees: Total Nonfarm — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA)

All Employees: Total Nonfarm — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 0.3% year on year in September 2026, compared with 0.6% in August 2026.
The level stood at 1,248.9 thousands.
Over the past ten years it has ranged from −16.4% (Apr 2020) to 13.1% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.PAYEMS.M.NSA`
- 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-cambridge-newton-framingham-ma-metropolitan-us-15764-payems-m-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,248.9 thousands | 0.3 |
| August 2026 | 1,259.0 thousands | 0.6 |
| July 2026 | 1,267.3 thousands | 0.7 |
| June 2026 | 1,276.0 thousands | 0.6 |
| May 2026 | 1,255.0 thousands | −0.5 |
| April 2026 | 1,253.1 thousands | −0.2 |
| March 2026 | 1,239.2 thousands | −0.6 |
| February 2026 | 1,231.9 thousands | −0.9 |
| January 2026 | 1,232.3 thousands | −1.1 |
| December 2025 | 1,256.3 thousands | −1.4 |
| November 2025 | 1,256.7 thousands | −1.6 |
| October 2025 | 1,256.4 thousands | −1.4 |
| September 2025 | 1,245.2 thousands | −1.5 |
| August 2025 | 1,251.3 thousands | −1.5 |
| July 2025 | 1,258.9 thousands | −1.4 |
| June 2025 | 1,268.2 thousands | −1.6 |
| May 2025 | 1,261.8 thousands | −1.0 |
| April 2025 | 1,255.5 thousands | −0.8 |
| March 2025 | 1,246.4 thousands | −1.0 |
| February 2025 | 1,243.7 thousands | −0.7 |
| January 2025 | 1,246.1 thousands | −0.4 |
| December 2024 | 1,273.5 thousands | −0.5 |
| November 2024 | 1,276.9 thousands | −0.2 |
| October 2024 | 1,273.9 thousands | −0.3 |

## API

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

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