# All Employees: Goods Producing — Detroit-Warren-Dearborn, MI (NSA)

All Employees: Goods Producing — Detroit-Warren-Dearborn, MI (NSA) was down 1.1% year on year in September 2026, compared with −1.2% in August 2026.
The level stood at 328.0 thousands.
Over the past ten years it has ranged from −45.8% (Apr 2020) to 71.7% (Apr 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19820.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-detroit-warren-dearborn-mi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 328.0 thousands | −1.1 |
| August 2026 | 329.1 thousands | −1.2 |
| July 2026 | 328.4 thousands | −0.06 |
| June 2026 | 330.0 thousands | −1.4 |
| May 2026 | 326.6 thousands | −1.8 |
| April 2026 | 320.1 thousands | −2.1 |
| March 2026 | 316.8 thousands | −1.9 |
| February 2026 | 314.1 thousands | −2.2 |
| January 2026 | 316.0 thousands | 2.4 |
| December 2025 | 324.8 thousands | −2.5 |
| November 2025 | 325.9 thousands | −2.8 |
| October 2025 | 331.5 thousands | 0.3 |
| September 2025 | 331.5 thousands | −3.0 |
| August 2025 | 333.0 thousands | −2.9 |
| July 2025 | 328.6 thousands | −1.2 |
| June 2025 | 334.8 thousands | −3.2 |
| May 2025 | 332.7 thousands | −2.9 |
| April 2025 | 326.8 thousands | −2.9 |
| March 2025 | 322.9 thousands | −2.8 |
| February 2025 | 321.2 thousands | −2.8 |
| January 2025 | 308.6 thousands | −6.7 |
| December 2024 | 333.2 thousands | −1.8 |
| November 2024 | 335.3 thousands | −1.6 |
| October 2024 | 330.4 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```