# Unemployment: Indianapolis-Carmel-Greenwood, IN Metropolitan Statistical Area (U)

Unemployment: Indianapolis-Carmel-Greenwood, IN Metropolitan Statistical Area (U) was down 4.1% year on year in September 2025, compared with −7.9% in August 2025.
The level stood at 39,988 thousands.
Over the past ten years it has ranged from −66.1% (Apr 2021) to 374.2% (Apr 2020), averaging 7.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26900.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-indianapolis-carmel-greenwood-in-metropolitan-statistical

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 39,988 thousands | — |
| August 2026 | 38,709 thousands | — |
| July 2026 | 39,160 thousands | — |
| June 2026 | 39,624 thousands | — |
| May 2026 | 35,293 thousands | — |
| April 2026 | 29,148 thousands | — |
| March 2026 | 37,983 thousands | — |
| February 2026 | 40,077 thousands | — |
| January 2026 | 33,535 thousands | — |
| December 2025 | 28,136 thousands | — |
| November 2025 | 33,833 thousands | — |
| September 2025 | 39,259 thousands | −4.1 |
| August 2025 | 42,026 thousands | −7.9 |
| July 2025 | 44,882 thousands | −9.3 |
| June 2025 | 42,708 thousands | −8.9 |
| May 2025 | 39,386 thousands | −5.7 |
| April 2025 | 35,046 thousands | −4.8 |
| March 2025 | 40,031 thousands | −7.5 |
| February 2025 | 44,212 thousands | −1.6 |
| January 2025 | 43,405 thousands | 6.5 |
| December 2024 | 37,640 thousands | 19.0 |
| November 2024 | 41,994 thousands | 19.4 |
| October 2024 | 40,519 thousands | 17.9 |
| September 2024 | 40,939 thousands | 20.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26900.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26900.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```