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

Unemployment: Coamo, PR Micropolitan Statistical Area (U) was down 0.3% year on year in September 2026, compared with −1.0% in August 2026.
The level stood at 1,824.0 thousands.
Over the past ten years it has ranged from −39.9% (Jul 2022) to 68.2% (Jul 2021), averaging −3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-17620.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-coamo-pr-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,824.0 thousands | −0.3 |
| August 2026 | 1,957.0 thousands | −1.0 |
| July 2026 | 1,990.0 thousands | 26.5 |
| June 2026 | 1,916.0 thousands | 27.3 |
| May 2026 | 1,572.0 thousands | 16.7 |
| April 2026 | 1,513.0 thousands | 11.6 |
| March 2026 | 1,476.0 thousands | 10.3 |
| February 2026 | 1,495.0 thousands | 9.1 |
| January 2026 | 1,618.0 thousands | 12.6 |
| December 2025 | 1,662.0 thousands | 17.1 |
| November 2025 | 1,703.0 thousands | 14.4 |
| October 2025 | 1,785.0 thousands | 15.8 |
| September 2025 | 1,829.0 thousands | 25.4 |
| August 2025 | 1,976.0 thousands | 26.0 |
| July 2025 | 1,573.0 thousands | −1.1 |
| June 2025 | 1,505.0 thousands | 0.2 |
| May 2025 | 1,347.0 thousands | −8.2 |
| April 2025 | 1,356.0 thousands | −6.9 |
| March 2025 | 1,338.0 thousands | −8.7 |
| February 2025 | 1,370.0 thousands | −11.4 |
| January 2025 | 1,437.0 thousands | −9.8 |
| December 2024 | 1,419.0 thousands | −6.8 |
| November 2024 | 1,488.0 thousands | −7.2 |
| October 2024 | 1,542.0 thousands | −1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-17620.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-17620.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```