# Unemployment: Lower Connecticut River Valley Planning Region, CT (U)

Unemployment: Lower Connecticut River Valley Planning Region, CT (U) was up 26.6% year on year in September 2025, compared with 10.1% in August 2025.
The level stood at 4,022.0 thousands.
That is the highest reading since March 2021.
Over the past ten years it has ranged from −46.3% (May 2021) to 238.5% (May 2020), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT-09130.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-lower-connecticut-river-valley-planning-region-ct-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,022.0 thousands | — |
| August 2026 | 3,527.0 thousands | — |
| July 2026 | 4,648.0 thousands | — |
| June 2026 | 3,925.0 thousands | — |
| May 2026 | 3,851.0 thousands | — |
| April 2026 | 3,988.0 thousands | — |
| March 2026 | 4,175.0 thousands | — |
| February 2026 | 4,769.0 thousands | — |
| January 2026 | 4,609.0 thousands | — |
| December 2025 | 3,414.0 thousands | — |
| November 2025 | 3,712.0 thousands | — |
| September 2025 | 3,294.0 thousands | 26.6 |
| August 2025 | 3,235.0 thousands | 10.1 |
| July 2025 | 3,578.0 thousands | 12.6 |
| June 2025 | 3,059.0 thousands | 21.9 |
| May 2025 | 3,215.0 thousands | 20.7 |
| April 2025 | 2,694.0 thousands | 19.7 |
| March 2025 | 3,341.0 thousands | 19.0 |
| February 2025 | 3,621.0 thousands | 8.5 |
| January 2025 | 3,544.0 thousands | 9.3 |
| December 2024 | 2,556.0 thousands | 8.6 |
| November 2024 | 2,775.0 thousands | 12.1 |
| October 2024 | 2,653.0 thousands | 4.9 |
| September 2024 | 2,602.0 thousands | 4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT-09130.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT-09130.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```