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

All Employees: Professional and Business Services — Worcester, MA (NSA) was up 1.5% year on year in September 2026, compared with 1.0% in August 2026.
The level stood at 39.60 thousands.
Over the past ten years it has ranged from −12.6% (Apr 2020) to 16.4% (Jul 2021), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-49340.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-worcester-ma-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 39.60 thousands | 1.5 |
| August 2026 | 40.10 thousands | 1.0 |
| July 2026 | 40.70 thousands | 2.3 |
| June 2026 | 40.20 thousands | 1.5 |
| May 2026 | 39.50 thousands | 0.8 |
| April 2026 | 39.40 thousands | 0.3 |
| March 2026 | 38.50 thousands | 2.4 |
| February 2026 | 38.30 thousands | 0.0 |
| January 2026 | 38.20 thousands | 1.3 |
| December 2025 | 39.50 thousands | 2.3 |
| November 2025 | 39.50 thousands | −0.5 |
| October 2025 | 39.80 thousands | −0.3 |
| September 2025 | 39.00 thousands | −1.3 |
| August 2025 | 39.70 thousands | −1.2 |
| July 2025 | 39.80 thousands | −2.2 |
| June 2025 | 39.60 thousands | −2.2 |
| May 2025 | 39.20 thousands | −2.5 |
| April 2025 | 39.30 thousands | −1.3 |
| March 2025 | 37.60 thousands | −2.3 |
| February 2025 | 38.30 thousands | −2.0 |
| January 2025 | 37.70 thousands | −3.3 |
| December 2024 | 38.60 thousands | −2.5 |
| November 2024 | 39.70 thousands | −2.2 |
| October 2024 | 39.90 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-49340.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-49340.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```