# Unemployment: New Haven, CT Metropolitan Statistical Area (U)

Unemployment: New Haven, CT Metropolitan Statistical Area (U) was up 26.5% year on year in September 2025, compared with 16.9% in August 2025.
The level stood at 15,705 thousands.
That is the highest reading since March 2021.
Over the past ten years it has ranged from −42.2% (Jul 2021) to 211.7% (May 2020), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35300.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-new-haven-ct-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 15,705 thousands | — |
| August 2026 | 14,747 thousands | — |
| July 2026 | 18,056 thousands | — |
| June 2026 | 14,976 thousands | — |
| May 2026 | 15,345 thousands | — |
| April 2026 | 16,034 thousands | — |
| March 2026 | 15,178 thousands | — |
| February 2026 | 17,485 thousands | — |
| January 2026 | 16,770 thousands | — |
| December 2025 | 12,619 thousands | — |
| November 2025 | 13,849 thousands | — |
| September 2025 | 12,360 thousands | 26.5 |
| August 2025 | 13,269 thousands | 16.9 |
| July 2025 | 14,165 thousands | 13.8 |
| June 2025 | 11,683 thousands | 19.2 |
| May 2025 | 12,278 thousands | 22.3 |
| April 2025 | 10,336 thousands | 24.8 |
| March 2025 | 12,083 thousands | 18.2 |
| February 2025 | 13,085 thousands | 11.8 |
| January 2025 | 12,636 thousands | 10.5 |
| December 2024 | 9,293.0 thousands | 8.5 |
| November 2024 | 10,205 thousands | 11.0 |
| October 2024 | 10,127 thousands | 5.1 |
| September 2024 | 9,774.0 thousands | 6.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35300.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35300.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```