# Unemployment: Waterbury-Shelton, CT Metropolitan Statistical Area (U)

Unemployment: Waterbury-Shelton, CT Metropolitan Statistical Area (U) was up 29.4% year on year in September 2025, compared with 17.4% in August 2025.
The level stood at 13,373 thousands.
That is the highest reading since March 2021.
Over the past ten years it has ranged from −41.9% (Jul 2021) to 212.9% (May 2020), averaging 2.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47930.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-waterbury-shelton-ct-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 13,373 thousands | — |
| August 2026 | 12,757 thousands | — |
| July 2026 | 14,952 thousands | — |
| June 2026 | 12,483 thousands | — |
| May 2026 | 12,801 thousands | — |
| April 2026 | 13,392 thousands | — |
| March 2026 | 13,747 thousands | — |
| February 2026 | 15,491 thousands | — |
| January 2026 | 14,814 thousands | — |
| December 2025 | 11,111 thousands | — |
| November 2025 | 11,807 thousands | — |
| September 2025 | 10,670 thousands | 29.4 |
| August 2025 | 11,189 thousands | 17.4 |
| July 2025 | 11,446 thousands | 10.1 |
| June 2025 | 9,722.0 thousands | 20.8 |
| May 2025 | 10,110 thousands | 21.0 |
| April 2025 | 9,018.0 thousands | 22.0 |
| March 2025 | 10,777 thousands | 14.6 |
| February 2025 | 11,766 thousands | 11.3 |
| January 2025 | 11,359 thousands | 8.6 |
| December 2024 | 8,241.0 thousands | 7.3 |
| November 2024 | 8,712.0 thousands | 12.2 |
| October 2024 | 8,626.0 thousands | 4.7 |
| September 2024 | 8,245.0 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47930.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47930.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```