# All Employees: Truck Transportation — MD (statewide) (NSA)

All Employees: Truck Transportation — MD (statewide) (NSA) was down 5.0% year on year in September 2026, compared with −7.6% in August 2026.
The level stood at 17.20 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.2% (Feb 2026) to 10.3% (Nov 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MD.PAYEMS.M.NSA.IND-43484000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-truck-transportation-md-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 17.20 thousands | −5.0 |
| August 2026 | 17.00 thousands | −7.6 |
| July 2026 | 17.00 thousands | −8.1 |
| June 2026 | 17.00 thousands | −8.6 |
| May 2026 | 17.10 thousands | −7.6 |
| April 2026 | 17.00 thousands | −7.6 |
| March 2026 | 16.90 thousands | −9.1 |
| February 2026 | 16.80 thousands | −10.2 |
| January 2026 | 17.20 thousands | −9.0 |
| December 2025 | 17.90 thousands | −7.3 |
| November 2025 | 17.90 thousands | −6.8 |
| October 2025 | 17.70 thousands | −6.3 |
| September 2025 | 18.10 thousands | −3.7 |
| August 2025 | 18.40 thousands | −2.6 |
| July 2025 | 18.50 thousands | −3.1 |
| June 2025 | 18.60 thousands | −3.1 |
| May 2025 | 18.50 thousands | −2.6 |
| April 2025 | 18.40 thousands | −3.7 |
| March 2025 | 18.60 thousands | −2.1 |
| February 2025 | 18.70 thousands | −1.1 |
| January 2025 | 18.90 thousands | −1.6 |
| December 2024 | 19.30 thousands | 3.8 |
| November 2024 | 19.20 thousands | 3.2 |
| October 2024 | 18.90 thousands | 2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MD.PAYEMS.M.NSA.IND-43484000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MD.PAYEMS.M.NSA.IND-43484000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```