# Unemployment: Elkhart-Goshen, IN Metropolitan Statistical Area (U)

Unemployment: Elkhart-Goshen, IN Metropolitan Statistical Area (U) was down 19.5% year on year in September 2025, compared with −19.1% in August 2025.
The level stood at 3,786.0 thousands.
Over the past ten years it has ranged from −89.2% (Apr 2021) to 1,018.2% (Apr 2020), averaging 15.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-21140.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-elkhart-goshen-in-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 3,786.0 thousands | — |
| August 2026 | 3,763.0 thousands | — |
| July 2026 | 4,154.0 thousands | — |
| June 2026 | 3,803.0 thousands | — |
| May 2026 | 3,295.0 thousands | — |
| April 2026 | 2,661.0 thousands | — |
| March 2026 | 3,480.0 thousands | — |
| February 2026 | 3,578.0 thousands | — |
| January 2026 | 2,915.0 thousands | — |
| December 2025 | 2,520.0 thousands | — |
| November 2025 | 3,057.0 thousands | — |
| September 2025 | 3,615.0 thousands | −19.5 |
| August 2025 | 4,096.0 thousands | −19.1 |
| July 2025 | 5,102.0 thousands | −9.6 |
| June 2025 | 4,124.0 thousands | −17.4 |
| May 2025 | 3,840.0 thousands | −14.5 |
| April 2025 | 3,353.0 thousands | −22.0 |
| March 2025 | 3,941.0 thousands | −21.2 |
| February 2025 | 4,241.0 thousands | −15.8 |
| January 2025 | 4,297.0 thousands | −8.7 |
| December 2024 | 3,849.0 thousands | −2.8 |
| November 2024 | 4,411.0 thousands | 7.3 |
| October 2024 | 4,367.0 thousands | 9.9 |
| September 2024 | 4,490.0 thousands | 8.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-21140.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-21140.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```