# All Employees: Professional, Scientific, and Technical Services — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA)

All Employees: Professional, Scientific, and Technical Services — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 0.6% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 161.1 thousands.
That is the highest reading since November 2022.
Over the past ten years it has ranged from −3.1% (Jan 2026) to 5.0% (Jan 2019), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-cambridge

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 161.1 thousands | 0.6 |
| August 2026 | 162.5 thousands | −0.3 |
| July 2026 | 163.6 thousands | −0.7 |
| June 2026 | 161.9 thousands | −1.0 |
| May 2026 | 161.1 thousands | −0.9 |
| April 2026 | 161.5 thousands | −1.4 |
| March 2026 | 160.4 thousands | −2.4 |
| February 2026 | 160.0 thousands | −2.9 |
| January 2026 | 159.7 thousands | −3.1 |
| December 2025 | 161.8 thousands | −2.8 |
| November 2025 | 161.5 thousands | −2.8 |
| October 2025 | 161.9 thousands | −2.2 |
| September 2025 | 160.2 thousands | −2.5 |
| August 2025 | 163.0 thousands | −2.5 |
| July 2025 | 164.8 thousands | −1.9 |
| June 2025 | 163.6 thousands | −1.6 |
| May 2025 | 162.6 thousands | −1.4 |
| April 2025 | 163.8 thousands | −0.9 |
| March 2025 | 164.3 thousands | −0.8 |
| February 2025 | 164.7 thousands | −1.0 |
| January 2025 | 164.8 thousands | −1.0 |
| December 2024 | 166.5 thousands | −1.2 |
| November 2024 | 166.1 thousands | −1.5 |
| October 2024 | 165.5 thousands | −1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```