# Unemployment: Portland-South Portland, ME Metropolitan Statistical Area (U)

Unemployment: Portland-South Portland, ME Metropolitan Statistical Area (U) was up 15.6% year on year in September 2025, compared with 9.6% in August 2025.
The level stood at 8,590.0 thousands.
Over the past ten years it has ranged from −53.0% (May 2021) to 318.4% (May 2020), averaging 4.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38860.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-portland-south-portland-me-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 8,590.0 thousands | — |
| August 2026 | 8,656.0 thousands | — |
| July 2026 | 8,047.0 thousands | — |
| June 2026 | 7,449.0 thousands | — |
| May 2026 | 8,199.0 thousands | — |
| April 2026 | 8,279.0 thousands | — |
| March 2026 | 8,600.0 thousands | — |
| February 2026 | 9,463.0 thousands | — |
| January 2026 | 9,965.0 thousands | — |
| December 2025 | 8,654.0 thousands | — |
| November 2025 | 9,432.0 thousands | — |
| September 2025 | 8,356.0 thousands | 15.6 |
| August 2025 | 8,457.0 thousands | 9.6 |
| July 2025 | 8,205.0 thousands | 6.8 |
| June 2025 | 7,884.0 thousands | 10.2 |
| May 2025 | 8,996.0 thousands | 17.8 |
| April 2025 | 8,575.0 thousands | 20.4 |
| March 2025 | 10,059 thousands | 19.6 |
| February 2025 | 10,470 thousands | 16.9 |
| January 2025 | 10,247 thousands | 17.4 |
| December 2024 | 8,798.0 thousands | 17.7 |
| November 2024 | 9,236.0 thousands | 25.0 |
| October 2024 | 7,942.0 thousands | 19.0 |
| September 2024 | 7,231.0 thousands | 17.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38860.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38860.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```