# Unemployment: San Juan-Bayamon-Caguas, PR Metropolitan Statistical Area (U)

Unemployment: San Juan-Bayamon-Caguas, PR Metropolitan Statistical Area (U) was up 13.1% year on year in September 2026, compared with 9.4% in August 2026.
The level stood at 44,673 thousands.
Over the past ten years it has ranged from −43.3% (Jul 2022) to 28.6% (Jul 2026), averaging −8.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41980.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-san-juan-bayamon-caguas-pr-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 44,673 thousands | 13.1 |
| August 2026 | 45,839 thousands | 9.4 |
| July 2026 | 48,824 thousands | 28.6 |
| June 2026 | 44,568 thousands | 18.4 |
| May 2026 | 36,573 thousands | 5.3 |
| April 2026 | 35,578 thousands | 2.7 |
| March 2026 | 36,144 thousands | 3.2 |
| February 2026 | 35,338 thousands | 1.5 |
| January 2026 | 36,428 thousands | 6.3 |
| December 2025 | 36,409 thousands | −1.1 |
| November 2025 | 36,521 thousands | −2.4 |
| October 2025 | 36,832 thousands | −3.0 |
| September 2025 | 39,502 thousands | 5.1 |
| August 2025 | 41,891 thousands | 7.3 |
| July 2025 | 37,955 thousands | −9.3 |
| June 2025 | 37,655 thousands | −3.6 |
| May 2025 | 34,723 thousands | −8.6 |
| April 2025 | 34,658 thousands | −8.4 |
| March 2025 | 35,036 thousands | −11.2 |
| February 2025 | 34,806 thousands | −11.4 |
| January 2025 | 34,256 thousands | −14.4 |
| December 2024 | 36,813 thousands | −9.5 |
| November 2024 | 37,418 thousands | −7.8 |
| October 2024 | 37,963 thousands | −2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41980.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41980.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```