# Unemployment: Port St. Lucie, FL Metropolitan Statistical Area (U)

Unemployment: Port St. Lucie, FL Metropolitan Statistical Area (U) was up 19.8% year on year in September 2025, compared with 11.7% in August 2025.
The level stood at 11,832 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −62.6% (May 2021) to 252.6% (May 2020), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38940.UNEMPLVL.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/unemployment-port-st-lucie-fl-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 11,832 thousands | — |
| August 2026 | 12,535 thousands | — |
| July 2026 | 12,762 thousands | — |
| June 2026 | 12,630 thousands | — |
| May 2026 | 12,097 thousands | — |
| April 2026 | 12,532 thousands | — |
| March 2026 | 12,056 thousands | — |
| February 2026 | 13,150 thousands | — |
| January 2026 | 13,520 thousands | — |
| December 2025 | 12,111 thousands | — |
| November 2025 | 13,333 thousands | — |
| September 2025 | 11,678 thousands | 19.8 |
| August 2025 | 11,772 thousands | 11.7 |
| July 2025 | 11,337 thousands | 8.9 |
| June 2025 | 10,905 thousands | 11.3 |
| May 2025 | 9,610.0 thousands | 14.1 |
| April 2025 | 9,185.0 thousands | 16.3 |
| March 2025 | 9,289.0 thousands | 12.3 |
| February 2025 | 9,540.0 thousands | 10.7 |
| January 2025 | 9,900.0 thousands | 11.9 |
| December 2024 | 8,535.0 thousands | 9.0 |
| November 2024 | 9,580.0 thousands | 15.4 |
| October 2024 | 9,388.0 thousands | 9.0 |
| September 2024 | 9,744.0 thousands | 9.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38940.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38940.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```