# Unemployment: Findlay, OH Micropolitan Statistical Area (U)

Unemployment: Findlay, OH Micropolitan Statistical Area (U) was down 0.9% year on year in September 2025, compared with 2.2% in August 2025.
The level stood at 1,180.0 thousands.
That is the lowest reading since November 2023.
Over the past ten years it has ranged from −70.0% (Apr 2021) to 491.4% (Apr 2020), averaging 8.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-22300.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-findlay-oh-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,180.0 thousands | — |
| August 2026 | 1,156.0 thousands | — |
| July 2026 | 1,148.0 thousands | — |
| June 2026 | 1,307.0 thousands | — |
| May 2026 | 959.0 thousands | — |
| April 2026 | 1,006.0 thousands | — |
| March 2026 | 1,214.0 thousands | — |
| February 2026 | 1,477.0 thousands | — |
| January 2026 | 1,446.0 thousands | — |
| December 2025 | 1,329.0 thousands | — |
| November 2025 | 1,462.0 thousands | — |
| September 2025 | 1,449.0 thousands | −0.9 |
| August 2025 | 1,582.0 thousands | 2.2 |
| July 2025 | 1,757.0 thousands | 5.5 |
| June 2025 | 1,709.0 thousands | 3.8 |
| May 2025 | 1,574.0 thousands | 9.8 |
| April 2025 | 1,543.0 thousands | 19.0 |
| March 2025 | 1,777.0 thousands | 21.2 |
| February 2025 | 1,846.0 thousands | 28.5 |
| January 2025 | 1,842.0 thousands | 30.9 |
| December 2024 | 1,565.0 thousands | 42.5 |
| November 2024 | 1,643.0 thousands | 52.1 |
| October 2024 | 1,512.0 thousands | 19.1 |
| September 2024 | 1,462.0 thousands | 18.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-22300.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-22300.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```