# Unemployment: Mayaguez, PR Metropolitan Statistical Area (U)

Unemployment: Mayaguez, PR Metropolitan Statistical Area (U) was up 1.2% year on year in September 2026, compared with −5.5% in August 2026.
The level stood at 6,314.0 thousands.
Over the past ten years it has ranged from −37.5% (Jul 2022) to 63.6% (Jul 2021), averaging −1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-32420.UNEMPLVL.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (439 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/unemployment-mayaguez-pr-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 6,314.0 thousands | 1.2 |
| August 2026 | 6,431.0 thousands | −5.5 |
| July 2026 | 6,781.0 thousands | 15.8 |
| June 2026 | 6,261.0 thousands | 1.3 |
| May 2026 | 5,276.0 thousands | −5.5 |
| April 2026 | 5,077.0 thousands | −8.6 |
| March 2026 | 5,249.0 thousands | 1.3 |
| February 2026 | 5,411.0 thousands | 3.9 |
| January 2026 | 5,857.0 thousands | 16.8 |
| December 2025 | 5,991.0 thousands | 19.2 |
| November 2025 | 6,039.0 thousands | 21.3 |
| October 2025 | 6,127.0 thousands | 21.5 |
| September 2025 | 6,242.0 thousands | 25.3 |
| August 2025 | 6,806.0 thousands | 30.3 |
| July 2025 | 5,854.0 thousands | 5.2 |
| June 2025 | 6,179.0 thousands | 26.9 |
| May 2025 | 5,581.0 thousands | 24.1 |
| April 2025 | 5,556.0 thousands | 22.4 |
| March 2025 | 5,182.0 thousands | 10.5 |
| February 2025 | 5,206.0 thousands | 10.2 |
| January 2025 | 5,014.0 thousands | 9.6 |
| December 2024 | 5,025.0 thousands | 5.7 |
| November 2024 | 4,978.0 thousands | 6.0 |
| October 2024 | 5,041.0 thousands | 10.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-32420.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-32420.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```