# All Employees: Mining, Logging and Construction — NE (statewide) (NSA)

All Employees: Mining, Logging and Construction — NE (statewide) (NSA) was up 7.4% year on year in September 2026, compared with 6.5% in August 2026.
The level stood at 71.40 thousands.
That is the highest reading since March 2020.
Over the past ten years it has ranged from −4.0% (Feb 2021) to 9.9% (Mar 2020), averaging 2.8%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 71.40 thousands | 7.4 |
| August 2026 | 72.20 thousands | 6.5 |
| July 2026 | 71.80 thousands | 5.3 |
| June 2026 | 71.10 thousands | 4.7 |
| May 2026 | 69.40 thousands | 4.8 |
| April 2026 | 67.50 thousands | 4.5 |
| March 2026 | 65.20 thousands | 5.8 |
| February 2026 | 62.60 thousands | 5.9 |
| January 2026 | 62.60 thousands | 4.7 |
| December 2025 | 64.60 thousands | 1.7 |
| November 2025 | 66.40 thousands | 2.0 |
| October 2025 | 67.60 thousands | 3.4 |
| September 2025 | 66.50 thousands | 2.0 |
| August 2025 | 67.80 thousands | 3.2 |
| July 2025 | 68.20 thousands | 3.3 |
| June 2025 | 67.90 thousands | 3.7 |
| May 2025 | 66.20 thousands | 3.4 |
| April 2025 | 64.60 thousands | 2.9 |
| March 2025 | 61.60 thousands | 2.0 |
| February 2025 | 59.10 thousands | 1.5 |
| January 2025 | 59.80 thousands | 5.7 |
| December 2024 | 63.50 thousands | 3.6 |
| November 2024 | 65.10 thousands | 4.2 |
| October 2024 | 65.40 thousands | 3.3 |

## API

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

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