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

All Employees: Professional and Business Services — MN (statewide) (NSA) was up 1.2% year on year in September 2026, compared with 2.1% in August 2026.
The level stood at 374.5 thousands.
Over the past ten years it has ranged from −10.1% (May 2020) to 8.2% (May 2021), averaging −0.1%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 374.5 thousands | 1.2 |
| August 2026 | 382.2 thousands | 2.1 |
| July 2026 | 380.0 thousands | 1.7 |
| June 2026 | 376.0 thousands | 1.3 |
| May 2026 | 371.1 thousands | −0.3 |
| April 2026 | 368.5 thousands | −0.4 |
| March 2026 | 361.2 thousands | −0.2 |
| February 2026 | 360.4 thousands | −1.3 |
| January 2026 | 358.9 thousands | −1.4 |
| December 2025 | 365.7 thousands | −1.9 |
| November 2025 | 366.6 thousands | −2.6 |
| October 2025 | 370.3 thousands | −2.0 |
| September 2025 | 370.2 thousands | −1.5 |
| August 2025 | 374.3 thousands | −1.2 |
| July 2025 | 373.5 thousands | −1.4 |
| June 2025 | 371.3 thousands | −2.6 |
| May 2025 | 372.1 thousands | −1.8 |
| April 2025 | 370.0 thousands | −1.3 |
| March 2025 | 361.8 thousands | −1.7 |
| February 2025 | 365.0 thousands | −1.3 |
| January 2025 | 364.0 thousands | −1.6 |
| December 2024 | 372.8 thousands | −0.6 |
| November 2024 | 376.2 thousands | −1.4 |
| October 2024 | 378.0 thousands | −1.8 |

## API

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

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