# All Employees: Transportation, Warehousing, and Utilities — Columbus, OH (NSA)

All Employees: Transportation, Warehousing, and Utilities — Columbus, OH (NSA) was up 0.7% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 81.60 thousands.
Over the past ten years it has ranged from −18.7% (Feb 2023) to 18.3% (Jun 2020), averaging 4.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-18140.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-columbus-oh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 81.60 thousands | 0.7 |
| August 2026 | 81.70 thousands | 0.7 |
| July 2026 | 81.10 thousands | 0.7 |
| June 2026 | 80.80 thousands | 2.4 |
| May 2026 | 81.20 thousands | 4.6 |
| April 2026 | 80.20 thousands | 4.0 |
| March 2026 | 80.00 thousands | 2.6 |
| February 2026 | 80.00 thousands | 1.7 |
| January 2026 | 80.80 thousands | 1.0 |
| December 2025 | 84.10 thousands | −0.4 |
| November 2025 | 82.10 thousands | −2.6 |
| October 2025 | 81.10 thousands | 1.0 |
| September 2025 | 81.00 thousands | 2.5 |
| August 2025 | 81.10 thousands | 3.7 |
| July 2025 | 80.50 thousands | 3.6 |
| June 2025 | 78.90 thousands | 1.5 |
| May 2025 | 77.60 thousands | 1.2 |
| April 2025 | 77.10 thousands | 0.7 |
| March 2025 | 78.00 thousands | 1.0 |
| February 2025 | 78.70 thousands | 0.8 |
| January 2025 | 80.00 thousands | 0.5 |
| December 2024 | 84.40 thousands | 0.7 |
| November 2024 | 84.30 thousands | 0.2 |
| October 2024 | 80.30 thousands | −2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-18140.PAYEMS.M.NSA.IND-43000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-18140.PAYEMS.M.NSA.IND-43000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```