# All Employees: Transportation, Warehousing, and Utilities — Dallas-Fort Worth-Arlington, TX (NSA)

All Employees: Transportation, Warehousing, and Utilities — Dallas-Fort Worth-Arlington, TX (NSA) was up 3.0% year on year in September 2026, compared with 2.7% in August 2026.
The level stood at 271.6 thousands.
That is the highest reading since November 2022.
Over the past ten years it has ranged from −1.3% (Jan 2026) to 10.9% (Apr 2022), averaging 4.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19100.PAYEMS.M.NSA.IND-43000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-transportation-warehousing-and-utilities-dallas-fort

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 271.6 thousands | 3.0 |
| August 2026 | 270.7 thousands | 2.7 |
| July 2026 | 268.8 thousands | 2.6 |
| June 2026 | 267.1 thousands | 1.5 |
| May 2026 | 268.2 thousands | 1.9 |
| April 2026 | 268.2 thousands | 2.4 |
| March 2026 | 266.6 thousands | 0.8 |
| February 2026 | 265.2 thousands | −0.9 |
| January 2026 | 266.2 thousands | −1.3 |
| December 2025 | 278.1 thousands | −1.0 |
| November 2025 | 276.4 thousands | −0.3 |
| October 2025 | 269.9 thousands | 0.7 |
| September 2025 | 263.7 thousands | −0.3 |
| August 2025 | 263.5 thousands | 0.4 |
| July 2025 | 262.1 thousands | −0.04 |
| June 2025 | 263.2 thousands | 0.7 |
| May 2025 | 263.3 thousands | 0.5 |
| April 2025 | 261.8 thousands | 0.5 |
| March 2025 | 264.4 thousands | 1.7 |
| February 2025 | 267.7 thousands | 1.6 |
| January 2025 | 269.6 thousands | 0.3 |
| December 2024 | 280.8 thousands | 0.6 |
| November 2024 | 277.3 thousands | 0.3 |
| October 2024 | 267.9 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-43000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19100.PAYEMS.M.NSA.IND-43000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
