# Unemployment: Sunbury, PA Micropolitan Statistical Area (U)

Unemployment: Sunbury, PA Micropolitan Statistical Area (U) was up 30.8% year on year in September 2025, compared with 13.0% in August 2025.
The level stood at 1,600.0 thousands.
That is the highest reading since December 2020.
Over the past ten years it has ranged from −60.2% (Apr 2021) to 223.9% (Apr 2020), averaging 0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44980.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-sunbury-pa-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,600.0 thousands | — |
| August 2026 | 2,082.0 thousands | — |
| July 2026 | 2,017.0 thousands | — |
| June 2026 | 2,104.0 thousands | — |
| May 2026 | 2,011.0 thousands | — |
| April 2026 | 1,965.0 thousands | — |
| March 2026 | 2,322.0 thousands | — |
| February 2026 | 2,642.0 thousands | — |
| January 2026 | 2,532.0 thousands | — |
| December 2025 | 2,172.0 thousands | — |
| November 2025 | 2,221.0 thousands | — |
| September 2025 | 2,248.0 thousands | 30.8 |
| August 2025 | 2,730.0 thousands | 13.0 |
| July 2025 | 2,557.0 thousands | 6.3 |
| June 2025 | 2,501.0 thousands | 13.1 |
| May 2025 | 2,071.0 thousands | 11.2 |
| April 2025 | 2,111.0 thousands | 14.9 |
| March 2025 | 2,398.0 thousands | 11.6 |
| February 2025 | 2,645.0 thousands | 10.4 |
| January 2025 | 2,601.0 thousands | 10.7 |
| December 2024 | 2,056.0 thousands | 6.3 |
| November 2024 | 1,904.0 thousands | 6.1 |
| October 2024 | 1,830.0 thousands | −0.3 |
| September 2024 | 1,719.0 thousands | −5.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44980.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44980.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```