# Unemployment: Manchester-Nashua, NH Metropolitan Statistical Area (U)

Unemployment: Manchester-Nashua, NH Metropolitan Statistical Area (U) was up 29.1% year on year in September 2025, compared with 16.2% in August 2025.
The level stood at 5,177.0 thousands.
Over the past ten years it has ranged from −75.1% (Apr 2021) to 508.9% (Apr 2020), averaging 11.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31700.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-manchester-nashua-nh-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5,177.0 thousands | — |
| August 2026 | 7,182.0 thousands | — |
| July 2026 | 7,148.0 thousands | — |
| June 2026 | 6,459.0 thousands | — |
| May 2026 | 6,872.0 thousands | — |
| April 2026 | 7,751.0 thousands | — |
| March 2026 | 8,099.0 thousands | — |
| February 2026 | 9,114.0 thousands | — |
| January 2026 | 9,969.0 thousands | — |
| December 2025 | 8,206.0 thousands | — |
| November 2025 | 8,344.0 thousands | — |
| September 2025 | 7,975.0 thousands | 29.1 |
| August 2025 | 8,210.0 thousands | 16.2 |
| July 2025 | 8,481.0 thousands | 16.2 |
| June 2025 | 8,006.0 thousands | 24.1 |
| May 2025 | 7,794.0 thousands | 39.1 |
| April 2025 | 7,993.0 thousands | 35.8 |
| March 2025 | 8,974.0 thousands | 28.6 |
| February 2025 | 9,332.0 thousands | 27.1 |
| January 2025 | 9,201.0 thousands | 37.9 |
| December 2024 | 7,281.0 thousands | 38.9 |
| November 2024 | 7,460.0 thousands | 35.2 |
| October 2024 | 6,403.0 thousands | 23.9 |
| September 2024 | 6,178.0 thousands | 13.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31700.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31700.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```