# Unemployment: Santa Cruz-Watsonville, CA Metropolitan Statistical Area (U)

Unemployment: Santa Cruz-Watsonville, CA Metropolitan Statistical Area (U) was up 11.8% year on year in September 2025, compared with 4.5% in August 2025.
The level stood at 7,120.0 thousands.
Over the past ten years it has ranged from −54.6% (Apr 2021) to 228.7% (May 2020), averaging 3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42100.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-santa-cruz-watsonville-ca-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7,120.0 thousands | — |
| August 2026 | 7,396.0 thousands | — |
| July 2026 | 7,283.0 thousands | — |
| June 2026 | 7,202.0 thousands | — |
| May 2026 | 6,967.0 thousands | — |
| April 2026 | 8,448.0 thousands | — |
| March 2026 | 9,451.0 thousands | — |
| February 2026 | 9,934.0 thousands | — |
| January 2026 | 9,571.0 thousands | — |
| December 2025 | 8,829.0 thousands | — |
| November 2025 | 8,500.0 thousands | — |
| September 2025 | 7,556.0 thousands | 11.8 |
| August 2025 | 7,998.0 thousands | 4.5 |
| July 2025 | 8,312.0 thousands | 5.8 |
| June 2025 | 8,172.0 thousands | 6.5 |
| May 2025 | 7,954.0 thousands | 13.5 |
| April 2025 | 9,251.0 thousands | 9.3 |
| March 2025 | 10,132 thousands | 5.8 |
| February 2025 | 10,348 thousands | 3.0 |
| January 2025 | 9,641.0 thousands | 4.6 |
| December 2024 | 8,343.0 thousands | −0.5 |
| November 2024 | 7,698.0 thousands | 6.4 |
| October 2024 | 7,078.0 thousands | 6.9 |
| September 2024 | 6,759.0 thousands | 6.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42100.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42100.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```