# All Employees: Specialty Trade Contractors — Dallas-Fort Worth-Arlington, TX (NSA)

All Employees: Specialty Trade Contractors — Dallas-Fort Worth-Arlington, TX (NSA) was up 3.8% year on year in September 2026, compared with 4.7% in August 2026.
The level stood at 160.1 thousands.
Over the past ten years it has ranged from −4.5% (Feb 2021) to 7.4% (Mar 2017), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19100.PAYEMS.M.NSA.IND-20238000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-specialty-trade-contractors-dallas-fort-worth-arlington

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 160.1 thousands | 3.8 |
| August 2026 | 162.0 thousands | 4.7 |
| July 2026 | 160.0 thousands | 3.5 |
| June 2026 | 159.4 thousands | 3.2 |
| May 2026 | 156.8 thousands | 2.2 |
| April 2026 | 155.7 thousands | 2.3 |
| March 2026 | 155.4 thousands | 3.0 |
| February 2026 | 154.3 thousands | 3.6 |
| January 2026 | 154.1 thousands | 6.1 |
| December 2025 | 154.2 thousands | 4.3 |
| November 2025 | 154.0 thousands | 4.2 |
| October 2025 | 153.8 thousands | 3.9 |
| September 2025 | 154.2 thousands | 4.0 |
| August 2025 | 154.7 thousands | 4.4 |
| July 2025 | 154.6 thousands | 5.3 |
| June 2025 | 154.5 thousands | 5.2 |
| May 2025 | 153.4 thousands | 5.6 |
| April 2025 | 152.2 thousands | 5.5 |
| March 2025 | 150.9 thousands | 5.0 |
| February 2025 | 148.9 thousands | 4.6 |
| January 2025 | 145.3 thousands | 3.3 |
| December 2024 | 147.9 thousands | 3.4 |
| November 2024 | 147.8 thousands | 3.6 |
| October 2024 | 148.0 thousands | 3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-20238000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-20238000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```