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

All Employees: Scientific Research and Development Services — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 3.5% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 74.00 thousands.
That is the highest reading since June 2023.
Over the past ten years it has ranged from −5.2% (Sep 2025) to 12.4% (Apr 2022), averaging 5.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.PAYEMS.M.NSA.IND-60541700`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-scientific-research-and-development-services-cambridge

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 74.00 thousands | 3.5 |
| August 2026 | 74.10 thousands | 1.6 |
| July 2026 | 74.00 thousands | 0.1 |
| June 2026 | 73.20 thousands | −0.4 |
| May 2026 | 72.90 thousands | −0.4 |
| April 2026 | 72.60 thousands | −2.0 |
| March 2026 | 72.00 thousands | −3.5 |
| February 2026 | 71.80 thousands | −3.9 |
| January 2026 | 71.90 thousands | −4.0 |
| December 2025 | 72.30 thousands | −4.4 |
| November 2025 | 72.40 thousands | −4.4 |
| October 2025 | 72.40 thousands | −4.1 |
| September 2025 | 71.50 thousands | −5.2 |
| August 2025 | 72.90 thousands | −4.7 |
| July 2025 | 73.90 thousands | −3.8 |
| June 2025 | 73.50 thousands | −2.9 |
| May 2025 | 73.20 thousands | −2.9 |
| April 2025 | 74.10 thousands | −2.2 |
| March 2025 | 74.60 thousands | −2.1 |
| February 2025 | 74.70 thousands | −2.0 |
| January 2025 | 74.90 thousands | −1.4 |
| December 2024 | 75.60 thousands | −1.8 |
| November 2024 | 75.70 thousands | −1.7 |
| October 2024 | 75.50 thousands | −1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60541700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60541700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```