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

All Employees: Trade, Transportation, and Utilities — MN (statewide) (NSA) was down 0.8% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 522.6 thousands.
Over the past ten years it has ranged from −12.3% (Apr 2020) to 10.3% (Apr 2021), averaging 0.09%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MN.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-mn-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 522.6 thousands | −0.8 |
| August 2026 | 525.0 thousands | −0.5 |
| July 2026 | 527.4 thousands | −0.09 |
| June 2026 | 528.7 thousands | −0.4 |
| May 2026 | 527.1 thousands | −1.1 |
| April 2026 | 520.4 thousands | −1.6 |
| March 2026 | 515.3 thousands | −1.6 |
| February 2026 | 519.1 thousands | −1.1 |
| January 2026 | 527.5 thousands | −0.5 |
| December 2025 | 544.1 thousands | −0.7 |
| November 2025 | 541.2 thousands | −0.5 |
| October 2025 | 533.0 thousands | −0.7 |
| September 2025 | 526.6 thousands | −1.1 |
| August 2025 | 527.4 thousands | −1.3 |
| July 2025 | 527.9 thousands | −1.3 |
| June 2025 | 530.6 thousands | −1.5 |
| May 2025 | 533.1 thousands | −1.0 |
| April 2025 | 528.8 thousands | −0.8 |
| March 2025 | 523.6 thousands | −1.1 |
| February 2025 | 524.7 thousands | −0.8 |
| January 2025 | 530.1 thousands | −0.7 |
| December 2024 | 547.7 thousands | −0.09 |
| November 2024 | 543.8 thousands | −0.1 |
| October 2024 | 536.6 thousands | −0.2 |

## API

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

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