# All Employees: Non-Durable Goods — Houston-Pasadena-The Woodlands, TX (NSA)

All Employees: Non-Durable Goods — Houston-Pasadena-The Woodlands, TX (NSA) was down 3.2% year on year in September 2026, compared with −3.2% in August 2026.
The level stood at 86.60 thousands.
Over the past ten years it has ranged from −4.5% (Feb 2026) to 5.4% (Jul 2022), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26420.PAYEMS.M.NSA.IND-32000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-non-durable-goods-houston-pasadena-the-woodlands-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 86.60 thousands | −3.2 |
| August 2026 | 87.00 thousands | −3.2 |
| July 2026 | 86.80 thousands | −4.2 |
| June 2026 | 87.70 thousands | −3.6 |
| May 2026 | 86.90 thousands | −4.4 |
| April 2026 | 87.20 thousands | −4.0 |
| March 2026 | 88.40 thousands | −3.1 |
| February 2026 | 87.00 thousands | −4.5 |
| January 2026 | 87.40 thousands | −3.7 |
| December 2025 | 89.60 thousands | −2.0 |
| November 2025 | 90.00 thousands | −1.4 |
| October 2025 | 90.70 thousands | −0.3 |
| September 2025 | 89.50 thousands | −1.3 |
| August 2025 | 89.90 thousands | −1.1 |
| July 2025 | 90.60 thousands | 0.6 |
| June 2025 | 91.00 thousands | 0.1 |
| May 2025 | 90.90 thousands | 1.1 |
| April 2025 | 90.80 thousands | 0.8 |
| March 2025 | 91.20 thousands | 1.3 |
| February 2025 | 91.10 thousands | 1.4 |
| January 2025 | 90.80 thousands | 1.5 |
| December 2024 | 91.40 thousands | 1.4 |
| November 2024 | 91.30 thousands | 1.9 |
| October 2024 | 91.00 thousands | 1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-32000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-32000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```