# Unemployment: Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area (U)

Unemployment: Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area (U) was up 7.2% year on year in September 2025, compared with 1.6% in August 2025.
The level stood at 189,818 thousands.
Over the past ten years it has ranged from −52.9% (May 2021) to 304.3% (Apr 2020), averaging 8.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19100.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-dallas-fort-worth-arlington-tx-metropolitan-statistical

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 189,818 thousands | — |
| August 2026 | 202,545 thousands | — |
| July 2026 | 210,025 thousands | — |
| June 2026 | 212,857 thousands | — |
| May 2026 | 184,276 thousands | — |
| April 2026 | 172,479 thousands | — |
| March 2026 | 175,535 thousands | — |
| February 2026 | 188,699 thousands | — |
| January 2026 | 190,228 thousands | — |
| December 2025 | 165,713 thousands | — |
| November 2025 | 184,630 thousands | — |
| September 2025 | 192,348 thousands | 7.2 |
| August 2025 | 196,455 thousands | 1.6 |
| July 2025 | 189,942 thousands | −2.1 |
| June 2025 | 180,888 thousands | −5.7 |
| May 2025 | 167,886 thousands | 2.2 |
| April 2025 | 161,373 thousands | 4.2 |
| March 2025 | 173,114 thousands | 0.7 |
| February 2025 | 184,999 thousands | 1.1 |
| January 2025 | 179,396 thousands | 2.7 |
| December 2024 | 161,116 thousands | 4.5 |
| November 2024 | 178,920 thousands | 14.3 |
| October 2024 | 178,525 thousands | 8.1 |
| September 2024 | 179,354 thousands | 4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19100.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19100.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```