# All Employees: Transportation, Warehousing, and Utilities — Grand Junction, CO (NSA)

All Employees: Transportation, Warehousing, and Utilities — Grand Junction, CO (NSA) was down 2.9% year on year in September 2026, compared with −2.9% in August 2026.
The level stood at 3.30 thousands.
Over the past ten years it has ranged from −15.4% (Apr 2020) to 18.2% (Apr 2021), averaging 2.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-24300.PAYEMS.M.NSA.IND-43000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-transportation-warehousing-and-utilities-grand-junction

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 3.30 thousands | −2.9 |
| August 2026 | 3.30 thousands | −2.9 |
| July 2026 | 3.30 thousands | 0.0 |
| June 2026 | 3.30 thousands | 3.1 |
| May 2026 | 3.30 thousands | 3.1 |
| April 2026 | 3.30 thousands | 3.1 |
| March 2026 | 3.30 thousands | 3.1 |
| February 2026 | 3.40 thousands | 3.0 |
| January 2026 | 3.50 thousands | 6.1 |
| December 2025 | 3.60 thousands | 12.5 |
| November 2025 | 3.50 thousands | 16.7 |
| October 2025 | 3.40 thousands | 13.3 |
| September 2025 | 3.40 thousands | 13.3 |
| August 2025 | 3.40 thousands | 13.3 |
| July 2025 | 3.30 thousands | 10.0 |
| June 2025 | 3.20 thousands | 10.3 |
| May 2025 | 3.20 thousands | 14.3 |
| April 2025 | 3.20 thousands | 14.3 |
| March 2025 | 3.20 thousands | 14.3 |
| February 2025 | 3.30 thousands | 17.9 |
| January 2025 | 3.30 thousands | 17.9 |
| December 2024 | 3.20 thousands | 10.3 |
| November 2024 | 3.00 thousands | 3.4 |
| October 2024 | 3.00 thousands | 3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-24300.PAYEMS.M.NSA.IND-43000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-24300.PAYEMS.M.NSA.IND-43000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```