# All Employees: Professional and Business Services — St. Louis, MO-IL (NSA)

All Employees: Professional and Business Services — St. Louis, MO-IL (NSA) was up 0.6% year on year in September 2026, compared with 1.5% in August 2026.
The level stood at 210.9 thousands.
Over the past ten years it has ranged from −7.0% (Apr 2020) to 5.5% (Apr 2021), averaging −0.03%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41180.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-st-louis-mo-il-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 210.9 thousands | 0.6 |
| August 2026 | 212.5 thousands | 1.5 |
| July 2026 | 212.3 thousands | 1.0 |
| June 2026 | 211.9 thousands | 1.3 |
| May 2026 | 213.0 thousands | 0.8 |
| April 2026 | 210.6 thousands | −0.7 |
| March 2026 | 204.4 thousands | −2.5 |
| February 2026 | 203.0 thousands | −2.5 |
| January 2026 | 201.5 thousands | −2.1 |
| December 2025 | 208.5 thousands | −1.5 |
| November 2025 | 207.9 thousands | −2.9 |
| October 2025 | 210.8 thousands | −2.1 |
| September 2025 | 209.6 thousands | −2.3 |
| August 2025 | 209.3 thousands | −2.9 |
| July 2025 | 210.1 thousands | −2.3 |
| June 2025 | 209.1 thousands | −2.9 |
| May 2025 | 211.3 thousands | −2.4 |
| April 2025 | 212.0 thousands | −2.5 |
| March 2025 | 209.6 thousands | −2.7 |
| February 2025 | 208.1 thousands | −3.0 |
| January 2025 | 205.9 thousands | −3.2 |
| December 2024 | 211.6 thousands | −2.4 |
| November 2024 | 214.0 thousands | −2.4 |
| October 2024 | 215.4 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```