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

All Employees: Truck Transportation — CO (statewide) (NSA) was down 6.1% year on year in September 2026, compared with −6.0% in August 2026.
The level stood at 16.90 thousands.
That is the lowest reading since April 2024.
Over the past ten years it has ranged from −7.1% (May 2020) to 4.1% (Apr 2021), averaging −1.4%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 16.90 thousands | −6.1 |
| August 2026 | 17.20 thousands | −6.0 |
| July 2026 | 17.30 thousands | −5.5 |
| June 2026 | 17.20 thousands | −5.0 |
| May 2026 | 17.20 thousands | −5.0 |
| April 2026 | 17.30 thousands | −2.3 |
| March 2026 | 17.40 thousands | −1.1 |
| February 2026 | 17.50 thousands | −0.6 |
| January 2026 | 17.80 thousands | 0.0 |
| December 2025 | 18.10 thousands | 0.0 |
| November 2025 | 18.10 thousands | −0.5 |
| October 2025 | 18.10 thousands | −1.6 |
| September 2025 | 18.00 thousands | −2.7 |
| August 2025 | 18.30 thousands | −2.7 |
| July 2025 | 18.30 thousands | −1.6 |
| June 2025 | 18.10 thousands | −2.7 |
| May 2025 | 18.10 thousands | −1.1 |
| April 2025 | 17.70 thousands | −2.7 |
| March 2025 | 17.60 thousands | −4.9 |
| February 2025 | 17.60 thousands | −4.3 |
| January 2025 | 17.80 thousands | −4.8 |
| December 2024 | 18.10 thousands | −5.7 |
| November 2024 | 18.20 thousands | −5.2 |
| October 2024 | 18.40 thousands | −5.6 |

## API

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

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