# All Employees: Mining, Logging and Construction — Dallas-Fort Worth-Arlington, TX (NSA)

All Employees: Mining, Logging and Construction — Dallas-Fort Worth-Arlington, TX (NSA) was up 2.8% year on year in September 2026, compared with 3.1% in August 2026.
The level stood at 274.6 thousands.
Over the past ten years it has ranged from −5.6% (Feb 2021) to 7.3% (Sep 2022), averaging 3.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19100.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-dallas-fort-worth

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 274.6 thousands | 2.8 |
| August 2026 | 276.5 thousands | 3.1 |
| July 2026 | 273.9 thousands | 2.2 |
| June 2026 | 274.2 thousands | 2.3 |
| May 2026 | 270.6 thousands | 1.7 |
| April 2026 | 267.8 thousands | 1.2 |
| March 2026 | 268.2 thousands | 1.8 |
| February 2026 | 266.3 thousands | 2.4 |
| January 2026 | 265.9 thousands | 4.4 |
| December 2025 | 265.7 thousands | 2.8 |
| November 2025 | 266.4 thousands | 3.1 |
| October 2025 | 267.1 thousands | 3.4 |
| September 2025 | 267.0 thousands | 3.5 |
| August 2025 | 268.1 thousands | 4.0 |
| July 2025 | 268.1 thousands | 4.3 |
| June 2025 | 268.1 thousands | 4.5 |
| May 2025 | 266.2 thousands | 5.0 |
| April 2025 | 264.7 thousands | 5.2 |
| March 2025 | 263.4 thousands | 4.9 |
| February 2025 | 260.1 thousands | 4.7 |
| January 2025 | 254.8 thousands | 4.0 |
| December 2024 | 258.4 thousands | 4.1 |
| November 2024 | 258.3 thousands | 4.6 |
| October 2024 | 258.3 thousands | 4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-15000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-15000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```