# All Employees: Professional, Scientific, and Technical Services — Dallas-Fort Worth-Arlington, TX (NSA)

All Employees: Professional, Scientific, and Technical Services — Dallas-Fort Worth-Arlington, TX (NSA) was up 4.7% year on year in September 2026, compared with 3.0% in August 2026.
The level stood at 402.7 thousands.
That is the highest reading since June 2023.
Over the past ten years it has ranged from −0.9% (Mar 2024) to 15.5% (Aug 2022), averaging 4.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19100.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-dallas

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 402.7 thousands | 4.7 |
| August 2026 | 404.1 thousands | 3.0 |
| July 2026 | 403.4 thousands | 2.6 |
| June 2026 | 400.2 thousands | 3.9 |
| May 2026 | 394.3 thousands | 2.1 |
| April 2026 | 396.3 thousands | 2.2 |
| March 2026 | 391.3 thousands | 2.5 |
| February 2026 | 392.1 thousands | 1.6 |
| January 2026 | 389.8 thousands | 1.3 |
| December 2025 | 390.8 thousands | 1.6 |
| November 2025 | 390.8 thousands | 0.7 |
| October 2025 | 391.7 thousands | 1.1 |
| September 2025 | 384.8 thousands | 0.9 |
| August 2025 | 392.4 thousands | 1.3 |
| July 2025 | 393.2 thousands | 1.7 |
| June 2025 | 385.3 thousands | 0.8 |
| May 2025 | 386.2 thousands | 1.2 |
| April 2025 | 387.7 thousands | 1.2 |
| March 2025 | 381.8 thousands | 0.9 |
| February 2025 | 385.8 thousands | 0.1 |
| January 2025 | 384.7 thousands | 0.2 |
| December 2024 | 384.5 thousands | 0.8 |
| November 2024 | 387.9 thousands | 0.2 |
| October 2024 | 387.4 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```