# Unemployment: Cedar City, UT Micropolitan Statistical Area (U)

Unemployment: Cedar City, UT Micropolitan Statistical Area (U) was up 13.9% year on year in September 2025, compared with 5.3% in August 2025.
The level stood at 972.0 thousands.
That is the highest reading since September 2024.
Over the past ten years it has ranged from −61.9% (Apr 2021) to 204.5% (Apr 2020), averaging 5.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16260.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-cedar-city-ut-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 972.0 thousands | — |
| August 2026 | 1,211.0 thousands | — |
| July 2026 | 1,091.0 thousands | — |
| June 2026 | 1,169.0 thousands | — |
| May 2026 | 1,065.0 thousands | — |
| April 2026 | 1,026.0 thousands | — |
| March 2026 | 1,039.0 thousands | — |
| February 2026 | 1,158.0 thousands | — |
| January 2026 | 1,227.0 thousands | — |
| December 2025 | 1,059.0 thousands | — |
| November 2025 | 1,133.0 thousands | — |
| September 2025 | 1,065.0 thousands | 13.9 |
| August 2025 | 1,182.0 thousands | 5.3 |
| July 2025 | 1,102.0 thousands | 2.5 |
| June 2025 | 1,212.0 thousands | 3.9 |
| May 2025 | 1,127.0 thousands | 11.0 |
| April 2025 | 989.0 thousands | 11.9 |
| March 2025 | 985.0 thousands | 7.3 |
| February 2025 | 1,010.0 thousands | −3.8 |
| January 2025 | 1,007.0 thousands | 0.3 |
| December 2024 | 888.0 thousands | 6.3 |
| November 2024 | 931.0 thousands | 12.6 |
| October 2024 | 913.0 thousands | 12.6 |
| September 2024 | 935.0 thousands | 17.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16260.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16260.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```