# Unemployment: Utuado, PR Micropolitan Statistical Area (U)

Unemployment: Utuado, PR Micropolitan Statistical Area (U) was up 20.8% year on year in September 2026, compared with −3.0% in August 2026.
The level stood at 640.0 thousands.
That is the highest reading since August 2023.
Over the past ten years it has ranged from −31.5% (Nov 2018) to 61.6% (Jul 2021), averaging −4.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46580.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-utuado-pr-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 640.0 thousands | 20.8 |
| August 2026 | 543.0 thousands | −3.0 |
| July 2026 | 578.0 thousands | 11.2 |
| June 2026 | 519.0 thousands | 5.3 |
| May 2026 | 425.0 thousands | −6.6 |
| April 2026 | 420.0 thousands | −14.5 |
| March 2026 | 453.0 thousands | −10.8 |
| February 2026 | 475.0 thousands | −7.6 |
| January 2026 | 498.0 thousands | −4.4 |
| December 2025 | 502.0 thousands | −14.9 |
| November 2025 | 501.0 thousands | −17.6 |
| October 2025 | 486.0 thousands | −17.3 |
| September 2025 | 530.0 thousands | −4.3 |
| August 2025 | 560.0 thousands | −1.8 |
| July 2025 | 520.0 thousands | −18.5 |
| June 2025 | 493.0 thousands | −16.6 |
| May 2025 | 455.0 thousands | −16.5 |
| April 2025 | 491.0 thousands | −17.2 |
| March 2025 | 508.0 thousands | −18.7 |
| February 2025 | 514.0 thousands | −19.7 |
| January 2025 | 521.0 thousands | −22.1 |
| December 2024 | 590.0 thousands | −12.6 |
| November 2024 | 608.0 thousands | −8.8 |
| October 2024 | 588.0 thousands | −10.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46580.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46580.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```