# All Employees: Retail Trade — Houston-Pasadena-The Woodlands, TX (NSA)

All Employees: Retail Trade — Houston-Pasadena-The Woodlands, TX (NSA) was up 0.4% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 318.0 thousands.
Over the past ten years it has ranged from −12.7% (Apr 2020) to 14.4% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26420.PAYEMS.M.NSA.IND-42000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-retail-trade-houston-pasadena-the-woodlands-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 318.0 thousands | 0.4 |
| August 2026 | 319.8 thousands | −0.2 |
| July 2026 | 320.0 thousands | 0.09 |
| June 2026 | 321.2 thousands | 0.7 |
| May 2026 | 319.5 thousands | 0.2 |
| April 2026 | 318.7 thousands | 0.06 |
| March 2026 | 316.6 thousands | −0.4 |
| February 2026 | 317.0 thousands | −0.5 |
| January 2026 | 318.5 thousands | −0.7 |
| December 2025 | 330.5 thousands | −0.7 |
| November 2025 | 323.7 thousands | −1.5 |
| October 2025 | 318.8 thousands | −0.9 |
| September 2025 | 316.8 thousands | −0.5 |
| August 2025 | 320.3 thousands | −0.2 |
| July 2025 | 319.7 thousands | 1.3 |
| June 2025 | 318.9 thousands | −0.1 |
| May 2025 | 319.0 thousands | −0.03 |
| April 2025 | 318.5 thousands | −0.03 |
| March 2025 | 317.9 thousands | −0.3 |
| February 2025 | 318.5 thousands | −0.1 |
| January 2025 | 320.8 thousands | −0.2 |
| December 2024 | 332.9 thousands | 0.5 |
| November 2024 | 328.6 thousands | −0.03 |
| October 2024 | 321.6 thousands | 0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-42000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-42000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```