# Labor Force: Utuado, PR Micropolitan Statistical Area (U)

Labor Force: Utuado, PR Micropolitan Statistical Area (U) was up 3.6% year on year in September 2026, compared with 2.0% in August 2026.
The level stood at 7,003.0 thousands.
That is the highest reading since November 2023.
Over the past ten years it has ranged from −8.8% (Oct 2017) to 9.8% (Dec 2021), averaging −0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46580.LF.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (439 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/labor-force-utuado-pr-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7,003.0 thousands | 3.6 |
| August 2026 | 6,900.0 thousands | 2.0 |
| July 2026 | 6,847.0 thousands | 2.8 |
| June 2026 | 6,841.0 thousands | 0.4 |
| May 2026 | 6,652.0 thousands | −1.7 |
| April 2026 | 6,673.0 thousands | −2.5 |
| March 2026 | 6,807.0 thousands | −2.7 |
| February 2026 | 6,793.0 thousands | −1.9 |
| January 2026 | 6,854.0 thousands | −2.2 |
| December 2025 | 6,903.0 thousands | −3.3 |
| November 2025 | 6,829.0 thousands | −6.0 |
| October 2025 | 6,701.0 thousands | −5.5 |
| September 2025 | 6,759.0 thousands | −4.4 |
| August 2025 | 6,765.0 thousands | −2.2 |
| July 2025 | 6,661.0 thousands | −3.4 |
| June 2025 | 6,813.0 thousands | −3.0 |
| May 2025 | 6,767.0 thousands | −3.3 |
| April 2025 | 6,847.0 thousands | −3.0 |
| March 2025 | 6,994.0 thousands | −2.4 |
| February 2025 | 6,928.0 thousands | −3.5 |
| January 2025 | 7,005.0 thousands | −4.0 |
| December 2024 | 7,138.0 thousands | −1.0 |
| November 2024 | 7,266.0 thousands | −0.3 |
| October 2024 | 7,094.0 thousands | −1.6 |

## API

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

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