# All Employees: Clothing and Clothing Accessories Retailers — TX (statewide) (NSA)

All Employees: Clothing and Clothing Accessories Retailers — TX (statewide) (NSA) was up 2.5% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 81.30 thousands.
Over the past ten years it has ranged from −65.8% (Apr 2020) to 144.4% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-42458100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-clothing-and-clothing-accessories-retailers-tx-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 81.30 thousands | 2.5 |
| August 2026 | 81.40 thousands | 0.2 |
| July 2026 | 80.80 thousands | 3.1 |
| June 2026 | 80.20 thousands | 4.8 |
| May 2026 | 77.30 thousands | 1.6 |
| April 2026 | 76.10 thousands | −0.9 |
| March 2026 | 77.40 thousands | 0.1 |
| February 2026 | 76.00 thousands | −1.3 |
| January 2026 | 81.90 thousands | 1.7 |
| December 2025 | 87.60 thousands | −2.2 |
| November 2025 | 86.10 thousands | −0.3 |
| October 2025 | 81.00 thousands | 0.5 |
| September 2025 | 79.30 thousands | 1.8 |
| August 2025 | 81.20 thousands | 2.1 |
| July 2025 | 78.40 thousands | 1.6 |
| June 2025 | 76.50 thousands | −0.9 |
| May 2025 | 76.10 thousands | −0.4 |
| April 2025 | 76.80 thousands | 1.3 |
| March 2025 | 77.30 thousands | 0.1 |
| February 2025 | 77.00 thousands | 0.3 |
| January 2025 | 80.50 thousands | −1.1 |
| December 2024 | 89.60 thousands | 0.3 |
| November 2024 | 86.40 thousands | −2.7 |
| October 2024 | 80.60 thousands | −2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-42458100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-42458100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```