# Unemployment: Palatka, FL Micropolitan Statistical Area (U)

Unemployment: Palatka, FL Micropolitan Statistical Area (U) was up 26.2% year on year in September 2025, compared with 13.8% in August 2025.
The level stood at 1,540.0 thousands.
That is the highest reading since February 2021.
Over the past ten years it has ranged from −45.3% (Jul 2021) to 170.3% (May 2020), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37260.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-palatka-fl-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,540.0 thousands | — |
| August 2026 | 1,667.0 thousands | — |
| July 2026 | 1,705.0 thousands | — |
| June 2026 | 1,684.0 thousands | — |
| May 2026 | 1,649.0 thousands | — |
| April 2026 | 1,672.0 thousands | — |
| March 2026 | 1,618.0 thousands | — |
| February 2026 | 1,802.0 thousands | — |
| January 2026 | 1,875.0 thousands | — |
| December 2025 | 1,704.0 thousands | — |
| November 2025 | 1,852.0 thousands | — |
| September 2025 | 1,584.0 thousands | 26.2 |
| August 2025 | 1,541.0 thousands | 13.8 |
| July 2025 | 1,504.0 thousands | 9.7 |
| June 2025 | 1,439.0 thousands | 14.7 |
| May 2025 | 1,259.0 thousands | 15.8 |
| April 2025 | 1,215.0 thousands | 17.7 |
| March 2025 | 1,241.0 thousands | 9.0 |
| February 2025 | 1,251.0 thousands | 7.1 |
| January 2025 | 1,288.0 thousands | 9.2 |
| December 2024 | 1,141.0 thousands | 7.5 |
| November 2024 | 1,308.0 thousands | 18.5 |
| October 2024 | 1,280.0 thousands | 8.5 |
| September 2024 | 1,255.0 thousands | 8.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37260.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37260.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```