# Unemployment: Talladega-Sylacauga, AL Micropolitan Statistical Area (U)

Unemployment: Talladega-Sylacauga, AL Micropolitan Statistical Area (U) was down 1.8% year on year in September 2025, compared with −6.5% in August 2025.
The level stood at 1,578.0 thousands.
Over the past ten years it has ranged from −81.0% (Apr 2021) to 513.8% (Apr 2020), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-45180.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-talladega-sylacauga-al-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,578.0 thousands | — |
| August 2026 | 1,594.0 thousands | — |
| July 2026 | 1,603.0 thousands | — |
| June 2026 | 1,718.0 thousands | — |
| May 2026 | 1,447.0 thousands | — |
| April 2026 | 1,165.0 thousands | — |
| March 2026 | 1,281.0 thousands | — |
| February 2026 | 1,436.0 thousands | — |
| January 2026 | 1,305.0 thousands | — |
| December 2025 | 1,030.0 thousands | — |
| November 2025 | 1,186.0 thousands | — |
| September 2025 | 1,294.0 thousands | −1.8 |
| August 2025 | 1,315.0 thousands | −6.5 |
| July 2025 | 1,255.0 thousands | −11.6 |
| June 2025 | 1,322.0 thousands | −4.2 |
| May 2025 | 1,113.0 thousands | 10.4 |
| April 2025 | 1,073.0 thousands | 6.7 |
| March 2025 | 1,334.0 thousands | 9.3 |
| February 2025 | 1,423.0 thousands | 1.9 |
| January 2025 | 1,484.0 thousands | 4.9 |
| December 2024 | 1,256.0 thousands | 11.7 |
| November 2024 | 1,299.0 thousands | 13.4 |
| October 2024 | 1,311.0 thousands | 10.4 |
| September 2024 | 1,318.0 thousands | 12.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-45180.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-45180.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```