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

All Employees: Professional and Business Services — MO (statewide) (NSA) was down 0.4% year on year in September 2026, compared with 1.3% in August 2026.
The level stood at 363.3 thousands.
Over the past ten years it has ranged from −9.0% (Apr 2020) to 6.3% (Apr 2021), averaging −0.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 363.3 thousands | −0.4 |
| August 2026 | 369.4 thousands | 1.3 |
| July 2026 | 370.4 thousands | 1.4 |
| June 2026 | 370.7 thousands | 1.9 |
| May 2026 | 368.8 thousands | 0.4 |
| April 2026 | 368.6 thousands | −0.1 |
| March 2026 | 355.1 thousands | −2.4 |
| February 2026 | 356.0 thousands | −1.5 |
| January 2026 | 353.6 thousands | −1.1 |
| December 2025 | 366.5 thousands | −0.5 |
| November 2025 | 369.1 thousands | −0.5 |
| October 2025 | 368.8 thousands | −1.1 |
| September 2025 | 364.8 thousands | −1.9 |
| August 2025 | 364.6 thousands | −2.1 |
| July 2025 | 365.4 thousands | −2.0 |
| June 2025 | 363.7 thousands | −2.4 |
| May 2025 | 367.2 thousands | −2.2 |
| April 2025 | 369.1 thousands | −2.2 |
| March 2025 | 363.7 thousands | −2.2 |
| February 2025 | 361.5 thousands | −2.4 |
| January 2025 | 357.7 thousands | −2.8 |
| December 2024 | 368.2 thousands | −2.2 |
| November 2024 | 370.9 thousands | −2.3 |
| October 2024 | 373.0 thousands | −2.3 |

## API

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

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