# All Employees: Leisure and Hospitality — Houston-Pasadena-The Woodlands, TX (NSA)

All Employees: Leisure and Hospitality — Houston-Pasadena-The Woodlands, TX (NSA) was up 0.6% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 368.0 thousands.
Over the past ten years it has ranged from −38.0% (Apr 2020) to 46.7% (Apr 2021), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26420.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-houston-pasadena-the-woodlands-tx

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 368.0 thousands | 0.6 |
| August 2026 | 375.3 thousands | 0.9 |
| July 2026 | 379.7 thousands | 1.4 |
| June 2026 | 380.2 thousands | 0.8 |
| May 2026 | 374.3 thousands | 0.03 |
| April 2026 | 369.7 thousands | −0.2 |
| March 2026 | 369.9 thousands | 0.7 |
| February 2026 | 364.2 thousands | 1.0 |
| January 2026 | 363.3 thousands | 1.6 |
| December 2025 | 365.9 thousands | 0.2 |
| November 2025 | 367.4 thousands | 0.9 |
| October 2025 | 368.0 thousands | 1.0 |
| September 2025 | 365.7 thousands | 0.5 |
| August 2025 | 372.0 thousands | 0.6 |
| July 2025 | 374.4 thousands | 2.5 |
| June 2025 | 377.0 thousands | 0.3 |
| May 2025 | 374.2 thousands | 1.0 |
| April 2025 | 370.4 thousands | 1.1 |
| March 2025 | 367.4 thousands | 1.1 |
| February 2025 | 360.7 thousands | 1.1 |
| January 2025 | 357.7 thousands | 1.6 |
| December 2024 | 365.2 thousands | 2.3 |
| November 2024 | 364.2 thousands | 2.2 |
| October 2024 | 364.2 thousands | 2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26420.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```