# All Employees: Trade, Transportation, and Utilities — Richmond, VA (NSA)

All Employees: Trade, Transportation, and Utilities — Richmond, VA (NSA) was down 0.9% year on year in September 2026, compared with −0.4% in August 2026.
The level stood at 130.1 thousands.
Over the past ten years it has ranged from −8.6% (Apr 2020) to 10.4% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-40060.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-richmond-va-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 130.1 thousands | −0.9 |
| August 2026 | 130.8 thousands | −0.4 |
| July 2026 | 131.6 thousands | 0.0 |
| June 2026 | 131.2 thousands | −1.0 |
| May 2026 | 130.9 thousands | −0.8 |
| April 2026 | 130.9 thousands | −0.4 |
| March 2026 | 130.1 thousands | −1.1 |
| February 2026 | 130.2 thousands | −1.7 |
| January 2026 | 131.9 thousands | −1.9 |
| December 2025 | 135.9 thousands | −1.2 |
| November 2025 | 135.0 thousands | −1.4 |
| October 2025 | 133.0 thousands | −1.0 |
| September 2025 | 131.3 thousands | −0.7 |
| August 2025 | 131.3 thousands | −1.1 |
| July 2025 | 131.6 thousands | −1.5 |
| June 2025 | 132.5 thousands | 0.0 |
| May 2025 | 131.9 thousands | 0.2 |
| April 2025 | 131.4 thousands | 0.6 |
| March 2025 | 131.5 thousands | 1.1 |
| February 2025 | 132.5 thousands | 1.4 |
| January 2025 | 134.4 thousands | 1.7 |
| December 2024 | 137.6 thousands | 0.4 |
| November 2024 | 136.9 thousands | 0.7 |
| October 2024 | 134.3 thousands | 1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-40060.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-40060.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```