# All Employees: Total Nonfarm — Detroit-Warren-Dearborn, MI (SA)

All Employees: Total Nonfarm — Detroit-Warren-Dearborn, MI (SA) was down 0.1% year on year in September 2026, compared with −0.2% in August 2026.
The level stood at 2,033.4 thousands.
Over the past ten years it has ranged from −25.7% (Apr 2020) to 25.3% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19820.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-detroit-warren-dearborn-mi-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,033.4 thousands | −0.1 |
| August 2026 | 2,035.8 thousands | −0.2 |
| July 2026 | 2,035.9 thousands | −0.2 |
| June 2026 | 2,034.0 thousands | −0.5 |
| May 2026 | 2,030.7 thousands | −0.8 |
| April 2026 | 2,033.3 thousands | −0.6 |
| March 2026 | 2,031.5 thousands | −0.5 |
| February 2026 | 2,030.4 thousands | −0.7 |
| January 2026 | 2,035.6 thousands | −0.06 |
| December 2025 | 2,034.0 thousands | −0.7 |
| November 2025 | 2,032.4 thousands | −0.9 |
| October 2025 | 2,035.5 thousands | −0.6 |
| September 2025 | 2,036.4 thousands | −1.0 |
| August 2025 | 2,039.9 thousands | −0.7 |
| July 2025 | 2,039.9 thousands | −0.2 |
| June 2025 | 2,043.5 thousands | −0.6 |
| May 2025 | 2,047.6 thousands | −0.5 |
| April 2025 | 2,045.8 thousands | −0.3 |
| March 2025 | 2,042.4 thousands | −0.5 |
| February 2025 | 2,044.6 thousands | −0.2 |
| January 2025 | 2,036.9 thousands | −0.8 |
| December 2024 | 2,048.9 thousands | −0.2 |
| November 2024 | 2,051.0 thousands | 0.4 |
| October 2024 | 2,048.0 thousands | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```