# All Employees: Professional, Scientific, and Technical Services — Boston-Cambridge-Newton, MA-NH (NSA)

All Employees: Professional, Scientific, and Technical Services — Boston-Cambridge-Newton, MA-NH (NSA) was down 0.7% year on year in September 2026, compared with −1.1% in August 2026.
The level stood at 297.7 thousands.
That is the highest reading since May 2023.
Over the past ten years it has ranged from −3.3% (Jan 2026) to 4.7% (Jul 2021), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-14460.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-boston

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 297.7 thousands | −0.7 |
| August 2026 | 301.5 thousands | −1.1 |
| July 2026 | 304.9 thousands | −1.1 |
| June 2026 | 301.5 thousands | −1.6 |
| May 2026 | 298.8 thousands | −1.6 |
| April 2026 | 300.3 thousands | −1.9 |
| March 2026 | 297.9 thousands | −2.9 |
| February 2026 | 297.9 thousands | −3.1 |
| January 2026 | 297.4 thousands | −3.3 |
| December 2025 | 301.0 thousands | −2.7 |
| November 2025 | 301.5 thousands | −2.5 |
| October 2025 | 302.0 thousands | −2.1 |
| September 2025 | 299.7 thousands | −2.1 |
| August 2025 | 304.9 thousands | −2.1 |
| July 2025 | 308.4 thousands | −1.8 |
| June 2025 | 306.3 thousands | −1.7 |
| May 2025 | 303.6 thousands | −1.5 |
| April 2025 | 306.2 thousands | −1.1 |
| March 2025 | 306.7 thousands | −1.2 |
| February 2025 | 307.5 thousands | −1.3 |
| January 2025 | 307.4 thousands | −1.2 |
| December 2024 | 309.4 thousands | −1.6 |
| November 2024 | 309.2 thousands | −1.6 |
| October 2024 | 308.4 thousands | −1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
