# All Employees: Mining, Logging and Construction — Baton Rouge, LA (NSA)

All Employees: Mining, Logging and Construction — Baton Rouge, LA (NSA) was up 25.8% year on year in September 2026, compared with 27.5% in August 2026.
The level stood at 59.40 thousands.
Over the past ten years it has ranged from −27.2% (Apr 2020) to 27.5% (Aug 2026), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12940.PAYEMS.M.NSA.IND-15000000`
- Frequency: monthly
- Units: thousands
- Coverage: 2005-01-01 to 2026-09-01 (261 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-mining-logging-and-construction-baton-rouge-la-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 59.40 thousands | 25.8 |
| August 2026 | 59.40 thousands | 27.5 |
| July 2026 | 59.00 thousands | 26.1 |
| June 2026 | 58.50 thousands | 21.6 |
| May 2026 | 56.60 thousands | 15.7 |
| April 2026 | 55.90 thousands | 12.2 |
| March 2026 | 57.30 thousands | 9.4 |
| February 2026 | 54.30 thousands | −0.2 |
| January 2026 | 51.00 thousands | −2.3 |
| December 2025 | 49.60 thousands | −1.6 |
| November 2025 | 49.20 thousands | −5.9 |
| October 2025 | 47.70 thousands | −10.3 |
| September 2025 | 47.20 thousands | −9.8 |
| August 2025 | 46.60 thousands | −13.2 |
| July 2025 | 46.80 thousands | −11.0 |
| June 2025 | 48.10 thousands | −10.1 |
| May 2025 | 48.90 thousands | −11.7 |
| April 2025 | 49.80 thousands | −9.6 |
| March 2025 | 52.40 thousands | −1.9 |
| February 2025 | 54.40 thousands | 3.4 |
| January 2025 | 52.20 thousands | 7.2 |
| December 2024 | 50.40 thousands | 7.9 |
| November 2024 | 52.30 thousands | 10.8 |
| October 2024 | 53.20 thousands | 8.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12940.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12940.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```