# Unemployment: Escanaba, MI Micropolitan Statistical Area (U)

Unemployment: Escanaba, MI Micropolitan Statistical Area (U) was down 17.3% year on year in September 2025, compared with −9.7% in August 2025.
The level stood at 706.0 thousands.
That is the lowest reading since December 2021.
Over the past ten years it has ranged from −71.1% (Apr 2021) to 282.9% (Apr 2020), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-21540.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-escanaba-mi-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 706.0 thousands | — |
| August 2026 | 822.0 thousands | — |
| July 2026 | 903.0 thousands | — |
| June 2026 | 859.0 thousands | — |
| May 2026 | 967.0 thousands | — |
| April 2026 | 945.0 thousands | — |
| March 2026 | 1,052.0 thousands | — |
| February 2026 | 1,056.0 thousands | — |
| January 2026 | 1,159.0 thousands | — |
| December 2025 | 1,078.0 thousands | — |
| November 2025 | 881.0 thousands | — |
| September 2025 | 786.0 thousands | −17.3 |
| August 2025 | 978.0 thousands | −9.7 |
| July 2025 | 1,183.0 thousands | 4.3 |
| June 2025 | 1,066.0 thousands | 1.1 |
| May 2025 | 1,047.0 thousands | 11.7 |
| April 2025 | 1,138.0 thousands | 19.0 |
| March 2025 | 1,277.0 thousands | 17.7 |
| February 2025 | 1,379.0 thousands | 22.4 |
| January 2025 | 1,273.0 thousands | 30.0 |
| December 2024 | 1,264.0 thousands | 54.3 |
| November 2024 | 931.0 thousands | 36.9 |
| October 2024 | 864.0 thousands | 5.2 |
| September 2024 | 950.0 thousands | 32.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-21540.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-21540.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```