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

Employment: Port St. Lucie, FL Metropolitan Statistical Area (U) was down 1.0% year on year in September 2025, compared with −0.9% in August 2025.
The level stood at 230,165 thousands.
That is the lowest reading since February 2021.
Over the past ten years it has ranged from −16.6% (Apr 2020) to 21.2% (Apr 2021), averaging 2.2%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 230,165 thousands | — |
| August 2026 | 228,952 thousands | — |
| July 2026 | 227,898 thousands | — |
| June 2026 | 230,233 thousands | — |
| May 2026 | 230,547 thousands | — |
| April 2026 | 229,701 thousands | — |
| March 2026 | 229,093 thousands | — |
| February 2026 | 228,510 thousands | — |
| January 2026 | 227,765 thousands | — |
| December 2025 | 229,644 thousands | — |
| November 2025 | 229,199 thousands | — |
| September 2025 | 231,338 thousands | −1.0 |
| August 2025 | 230,023 thousands | −0.9 |
| July 2025 | 229,662 thousands | −0.9 |
| June 2025 | 231,392 thousands | −0.02 |
| May 2025 | 233,561 thousands | 0.4 |
| April 2025 | 234,726 thousands | 0.8 |
| March 2025 | 234,663 thousands | 1.1 |
| February 2025 | 232,899 thousands | 1.8 |
| January 2025 | 232,727 thousands | 1.7 |
| December 2024 | 232,083 thousands | 0.9 |
| November 2024 | 231,017 thousands | 0.4 |
| October 2024 | 232,514 thousands | 0.5 |
| September 2024 | 233,702 thousands | 1.0 |

## API

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

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