# Unemployment: Houston-Pasadena-The Woodlands, TX Metropolitan Statistical Area (U)

Unemployment: Houston-Pasadena-The Woodlands, TX Metropolitan Statistical Area (U) was up 8.3% year on year in September 2025, compared with 1.8% in August 2025.
The level stood at 180,145 thousands.
Over the past ten years it has ranged from −50.1% (May 2021) to 295.2% (Apr 2020), averaging 9.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26420.UNEMPLVL.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/unemployment-houston-pasadena-the-woodlands-tx-metropolitan-statistical

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 180,145 thousands | — |
| August 2026 | 194,296 thousands | — |
| July 2026 | 201,799 thousands | — |
| June 2026 | 204,394 thousands | — |
| May 2026 | 178,961 thousands | — |
| April 2026 | 167,896 thousands | — |
| March 2026 | 171,480 thousands | — |
| February 2026 | 184,344 thousands | — |
| January 2026 | 188,896 thousands | — |
| December 2025 | 166,640 thousands | — |
| November 2025 | 180,942 thousands | — |
| September 2025 | 188,955 thousands | 8.3 |
| August 2025 | 191,805 thousands | 1.8 |
| July 2025 | 185,458 thousands | −5.2 |
| June 2025 | 176,620 thousands | −2.8 |
| May 2025 | 164,259 thousands | 6.4 |
| April 2025 | 156,166 thousands | 8.1 |
| March 2025 | 165,609 thousands | 4.8 |
| February 2025 | 175,539 thousands | 3.2 |
| January 2025 | 173,599 thousands | 4.6 |
| December 2024 | 159,572 thousands | 7.9 |
| November 2024 | 173,109 thousands | 17.2 |
| October 2024 | 170,791 thousands | 11.7 |
| September 2024 | 174,546 thousands | 8.4 |

## API

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

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