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

All Employees: Trade, Transportation, and Utilities — CO (statewide) (NSA) was down 0.5% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 496.0 thousands.
Over the past ten years it has ranged from −9.5% (Apr 2020) to 12.1% (Apr 2021), averaging 1.1%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 496.0 thousands | −0.5 |
| August 2026 | 500.3 thousands | −0.5 |
| July 2026 | 503.2 thousands | 0.02 |
| June 2026 | 500.0 thousands | −0.10 |
| May 2026 | 498.0 thousands | −0.2 |
| April 2026 | 497.1 thousands | −0.3 |
| March 2026 | 496.2 thousands | −0.7 |
| February 2026 | 497.4 thousands | 0.2 |
| January 2026 | 503.1 thousands | −1.0 |
| December 2025 | 513.9 thousands | −1.6 |
| November 2025 | 509.9 thousands | −1.5 |
| October 2025 | 501.6 thousands | −1.5 |
| September 2025 | 498.4 thousands | −1.8 |
| August 2025 | 502.9 thousands | −1.4 |
| July 2025 | 503.1 thousands | −1.6 |
| June 2025 | 500.5 thousands | −2.1 |
| May 2025 | 499.2 thousands | −1.1 |
| April 2025 | 498.8 thousands | −1.0 |
| March 2025 | 499.8 thousands | −0.6 |
| February 2025 | 496.2 thousands | −1.4 |
| January 2025 | 508.1 thousands | 0.6 |
| December 2024 | 522.2 thousands | 0.4 |
| November 2024 | 517.5 thousands | 1.0 |
| October 2024 | 509.2 thousands | 0.6 |

## API

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

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