# All Employees: Trade, Transportation, and Utilities — MI (statewide) (NSA)

All Employees: Trade, Transportation, and Utilities — MI (statewide) (NSA) was down 0.6% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 796.0 thousands.
Over the past ten years it has ranged from −20.5% (Apr 2020) to 22.2% (Apr 2021), averaging 0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MI.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-mi-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 796.0 thousands | −0.6 |
| August 2026 | 803.2 thousands | −0.3 |
| July 2026 | 805.5 thousands | −0.07 |
| June 2026 | 803.4 thousands | −0.8 |
| May 2026 | 799.7 thousands | −1.0 |
| April 2026 | 791.7 thousands | −0.8 |
| March 2026 | 784.9 thousands | −1.4 |
| February 2026 | 788.0 thousands | −1.0 |
| January 2026 | 795.5 thousands | −0.7 |
| December 2025 | 818.6 thousands | −1.1 |
| November 2025 | 813.7 thousands | −1.0 |
| October 2025 | 802.9 thousands | −0.7 |
| September 2025 | 800.8 thousands | −0.7 |
| August 2025 | 805.8 thousands | −0.8 |
| July 2025 | 806.1 thousands | −0.7 |
| June 2025 | 809.8 thousands | −0.8 |
| May 2025 | 807.5 thousands | −0.5 |
| April 2025 | 798.4 thousands | −0.4 |
| March 2025 | 795.9 thousands | −0.3 |
| February 2025 | 796.0 thousands | −0.3 |
| January 2025 | 801.4 thousands | −0.5 |
| December 2024 | 827.6 thousands | −0.6 |
| November 2024 | 822.1 thousands | −0.9 |
| October 2024 | 808.9 thousands | −0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MI.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MI.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```