# Texas Employment (household survey)

Texas Employment (household survey) was up 1.2% year on year in September 2025, compared with 1.3% in August 2025.
The level stood at 15,315,457 thousands.
That is the lowest reading since February 2021.
Over the past ten years it has ranged from −12.8% (Apr 2020) to 15.2% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics
- Makrognosis code: `US-TX.EMP.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1996-01-01 to 2026-09-01 (368 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/texas-employment-household-survey-not-seasonally-adjusted-monthly

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 15,315,457 thousands | — |
| August 2026 | 15,231,959 thousands | — |
| July 2026 | 15,188,404 thousands | — |
| June 2026 | 15,140,644 thousands | — |
| May 2026 | 15,237,946 thousands | — |
| April 2026 | 15,234,999 thousands | — |
| March 2026 | 15,203,169 thousands | — |
| February 2026 | 15,201,188 thousands | — |
| January 2026 | 15,126,148 thousands | — |
| December 2025 | 15,297,468 thousands | — |
| November 2025 | 15,308,704 thousands | — |
| September 2025 | 15,273,625 thousands | 1.2 |
| August 2025 | 15,182,502 thousands | 1.3 |
| July 2025 | 15,180,836 thousands | 1.4 |
| June 2025 | 15,193,245 thousands | 1.6 |
| May 2025 | 15,182,232 thousands | 1.7 |
| April 2025 | 15,309,900 thousands | 2.1 |
| March 2025 | 15,206,914 thousands | 1.9 |
| February 2025 | 15,157,168 thousands | 2.1 |
| January 2025 | 15,109,463 thousands | 2.5 |
| December 2024 | 15,153,664 thousands | 2.6 |
| November 2024 | 15,126,351 thousands | 1.7 |
| October 2024 | 15,100,188 thousands | 2.4 |
| September 2024 | 15,088,860 thousands | 2.5 |

## API

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

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