# All Employees: Transportation, Warehousing, and Utilities — TX (statewide) (NSA)

All Employees: Transportation, Warehousing, and Utilities — TX (statewide) (NSA) was up 2.4% year on year in September 2026, compared with 2.4% in August 2026.
The level stood at 733.9 thousands.
Over the past ten years it has ranged from −0.2% (Feb 2026) to 11.5% (Apr 2022), averaging 3.5%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 733.9 thousands | 2.4 |
| August 2026 | 733.1 thousands | 2.4 |
| July 2026 | 731.6 thousands | 2.6 |
| June 2026 | 729.0 thousands | 1.7 |
| May 2026 | 728.1 thousands | 1.5 |
| April 2026 | 726.9 thousands | 1.8 |
| March 2026 | 728.5 thousands | 1.3 |
| February 2026 | 723.6 thousands | −0.2 |
| January 2026 | 731.4 thousands | 0.5 |
| December 2025 | 753.0 thousands | 0.1 |
| November 2025 | 745.2 thousands | 0.7 |
| October 2025 | 728.7 thousands | 1.3 |
| September 2025 | 716.5 thousands | 0.6 |
| August 2025 | 716.2 thousands | 1.0 |
| July 2025 | 713.4 thousands | 1.0 |
| June 2025 | 716.9 thousands | 1.5 |
| May 2025 | 717.0 thousands | 1.6 |
| April 2025 | 714.3 thousands | 1.7 |
| March 2025 | 719.1 thousands | 2.0 |
| February 2025 | 725.4 thousands | 2.3 |
| January 2025 | 728.1 thousands | 1.5 |
| December 2024 | 752.1 thousands | 1.2 |
| November 2024 | 740.3 thousands | 1.0 |
| October 2024 | 719.7 thousands | 1.4 |

## API

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

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