# All Employees: Services to Buildings and Dwellings — St. Louis, MO-IL (NSA)

All Employees: Services to Buildings and Dwellings — St. Louis, MO-IL (NSA) was up 0.4% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 22.60 thousands.
Over the past ten years it has ranged from −10.9% (Apr 2020) to 7.6% (Apr 2021), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41180.PAYEMS.M.NSA.IND-60561700`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-services-to-buildings-and-dwellings-st-louis-mo-il-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 22.60 thousands | 0.4 |
| August 2026 | 22.90 thousands | 0.4 |
| July 2026 | 22.80 thousands | −0.4 |
| June 2026 | 22.70 thousands | 0.0 |
| May 2026 | 22.70 thousands | 0.4 |
| April 2026 | 22.60 thousands | 2.3 |
| March 2026 | 20.80 thousands | 0.0 |
| February 2026 | 19.90 thousands | 3.6 |
| January 2026 | 19.60 thousands | 5.4 |
| December 2025 | 20.90 thousands | 2.5 |
| November 2025 | 22.10 thousands | 0.5 |
| October 2025 | 22.60 thousands | 0.0 |
| September 2025 | 22.50 thousands | −0.4 |
| August 2025 | 22.80 thousands | −1.7 |
| July 2025 | 22.90 thousands | −1.3 |
| June 2025 | 22.70 thousands | −1.3 |
| May 2025 | 22.60 thousands | −1.3 |
| April 2025 | 22.10 thousands | −0.9 |
| March 2025 | 20.80 thousands | 0.5 |
| February 2025 | 19.20 thousands | 0.0 |
| January 2025 | 18.60 thousands | 0.5 |
| December 2024 | 20.40 thousands | 0.0 |
| November 2024 | 22.00 thousands | 0.0 |
| October 2024 | 22.60 thousands | −0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-60561700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-60561700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```