# Unemployment: Gardnerville Ranchos, NV-CA Micropolitan Statistical Area (U)

Unemployment: Gardnerville Ranchos, NV-CA Micropolitan Statistical Area (U) was down 1.8% year on year in September 2025, compared with −13.5% in August 2025.
The level stood at 928.0 thousands.
Over the past ten years it has ranged from −75.9% (Apr 2021) to 363.7% (Apr 2020), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-23820.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-gardnerville-ranchos-nv-ca-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 928.0 thousands | — |
| August 2026 | 884.0 thousands | — |
| July 2026 | 1,043.0 thousands | — |
| June 2026 | 1,038.0 thousands | — |
| May 2026 | 1,073.0 thousands | — |
| April 2026 | 1,013.0 thousands | — |
| March 2026 | 1,106.0 thousands | — |
| February 2026 | 1,187.0 thousands | — |
| January 2026 | 1,185.0 thousands | — |
| December 2025 | 1,029.0 thousands | — |
| November 2025 | 1,096.0 thousands | — |
| September 2025 | 1,054.0 thousands | −1.8 |
| August 2025 | 997.0 thousands | −13.5 |
| July 2025 | 1,102.0 thousands | −8.5 |
| June 2025 | 1,139.0 thousands | −4.5 |
| May 2025 | 1,095.0 thousands | −2.1 |
| April 2025 | 1,100.0 thousands | 0.5 |
| March 2025 | 1,054.0 thousands | −8.2 |
| February 2025 | 1,154.0 thousands | −0.6 |
| January 2025 | 1,167.0 thousands | 1.8 |
| December 2024 | 1,047.0 thousands | −1.2 |
| November 2024 | 1,061.0 thousands | 1.4 |
| October 2024 | 1,094.0 thousands | −1.4 |
| September 2024 | 1,073.0 thousands | −2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-23820.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-23820.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```