# All Employees: Professional and Business Services — MA (statewide) (NSA)

All Employees: Professional and Business Services — MA (statewide) (NSA) was up 0.10% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 610.1 thousands.
Over the past ten years it has ranged from −7.8% (Apr 2020) to 8.3% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.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-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 610.1 thousands | 0.10 |
| August 2026 | 614.1 thousands | −0.5 |
| July 2026 | 622.8 thousands | 0.2 |
| June 2026 | 618.4 thousands | 0.2 |
| May 2026 | 608.8 thousands | −0.6 |
| April 2026 | 609.3 thousands | −0.4 |
| March 2026 | 593.7 thousands | −1.0 |
| February 2026 | 592.7 thousands | −1.4 |
| January 2026 | 590.5 thousands | −1.2 |
| December 2025 | 606.6 thousands | −1.2 |
| November 2025 | 612.6 thousands | −1.2 |
| October 2025 | 614.0 thousands | −1.6 |
| September 2025 | 609.5 thousands | −1.8 |
| August 2025 | 616.9 thousands | −1.8 |
| July 2025 | 621.7 thousands | −1.8 |
| June 2025 | 617.3 thousands | −2.1 |
| May 2025 | 612.5 thousands | −1.7 |
| April 2025 | 611.7 thousands | −1.4 |
| March 2025 | 599.7 thousands | −1.8 |
| February 2025 | 601.3 thousands | −1.3 |
| January 2025 | 597.8 thousands | −1.7 |
| December 2024 | 613.8 thousands | −1.3 |
| November 2024 | 620.3 thousands | −1.3 |
| October 2024 | 623.9 thousands | −1.1 |

## API

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

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