# All Employees: Mining, Logging and Construction — St. Louis, MO-IL (NSA)

All Employees: Mining, Logging and Construction — St. Louis, MO-IL (NSA) was up 13.3% year on year in September 2026, compared with 13.4% in August 2026.
The level stood at 91.00 thousands.
Over the past ten years it has ranged from −8.7% (Apr 2020) to 15.5% (Jun 2026), averaging 2.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41180.PAYEMS.M.NSA.IND-15000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-mining-logging-and-construction-st-louis-mo-il-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 91.00 thousands | 13.3 |
| August 2026 | 92.20 thousands | 13.4 |
| July 2026 | 92.80 thousands | 14.1 |
| June 2026 | 93.10 thousands | 15.5 |
| May 2026 | 89.30 thousands | 12.9 |
| April 2026 | 85.50 thousands | 9.3 |
| March 2026 | 83.70 thousands | 8.7 |
| February 2026 | 78.50 thousands | 6.4 |
| January 2026 | 79.50 thousands | 10.4 |
| December 2025 | 80.70 thousands | 2.5 |
| November 2025 | 82.70 thousands | 3.5 |
| October 2025 | 81.20 thousands | 0.6 |
| September 2025 | 80.30 thousands | 0.2 |
| August 2025 | 81.30 thousands | 0.5 |
| July 2025 | 81.30 thousands | 0.7 |
| June 2025 | 80.60 thousands | −0.1 |
| May 2025 | 79.10 thousands | 0.0 |
| April 2025 | 78.20 thousands | −0.3 |
| March 2025 | 77.00 thousands | −0.3 |
| February 2025 | 73.80 thousands | −1.6 |
| January 2025 | 72.00 thousands | −1.5 |
| December 2024 | 78.70 thousands | 2.2 |
| November 2024 | 79.90 thousands | 3.1 |
| October 2024 | 80.70 thousands | 2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41180.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```