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

All Employees: Professional and Business Services — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 0.5% year on year in September 2026, compared with 0.04% in August 2026.
The level stood at 263.2 thousands.
That is the highest reading since November 2022.
Over the past ten years it has ranged from −5.7% (Apr 2020) to 6.6% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.PAYEMS.M.NSA.IND-60000000`
- 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-and-business-services-cambridge-newton

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 263.2 thousands | 0.5 |
| August 2026 | 265.1 thousands | 0.04 |
| July 2026 | 268.2 thousands | 0.4 |
| June 2026 | 266.1 thousands | −0.2 |
| May 2026 | 262.0 thousands | −0.8 |
| April 2026 | 261.7 thousands | −1.1 |
| March 2026 | 256.9 thousands | −1.5 |
| February 2026 | 256.0 thousands | −2.5 |
| January 2026 | 255.4 thousands | −2.4 |
| December 2025 | 261.7 thousands | −2.4 |
| November 2025 | 263.3 thousands | −2.5 |
| October 2025 | 264.2 thousands | −2.6 |
| September 2025 | 261.9 thousands | −3.2 |
| August 2025 | 265.0 thousands | −3.2 |
| July 2025 | 267.1 thousands | −3.2 |
| June 2025 | 266.7 thousands | −3.2 |
| May 2025 | 264.0 thousands | −2.6 |
| April 2025 | 264.6 thousands | −2.3 |
| March 2025 | 260.9 thousands | −2.8 |
| February 2025 | 262.6 thousands | −2.0 |
| January 2025 | 261.7 thousands | −2.7 |
| December 2024 | 268.1 thousands | −2.0 |
| November 2024 | 270.0 thousands | −2.1 |
| October 2024 | 271.2 thousands | −1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
