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

All Employees: Trade, Transportation, and Utilities — SC (statewide) (NSA) was up 0.4% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 443.6 thousands.
Over the past ten years it has ranged from −8.6% (Apr 2020) to 10.5% (Apr 2021), averaging 1.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 443.6 thousands | 0.4 |
| August 2026 | 445.8 thousands | 0.3 |
| July 2026 | 446.6 thousands | 0.4 |
| June 2026 | 448.0 thousands | 0.6 |
| May 2026 | 446.2 thousands | 0.7 |
| April 2026 | 443.4 thousands | 0.5 |
| March 2026 | 442.3 thousands | −0.1 |
| February 2026 | 440.7 thousands | −0.1 |
| January 2026 | 442.9 thousands | 0.4 |
| December 2025 | 454.0 thousands | 0.3 |
| November 2025 | 449.3 thousands | −0.3 |
| October 2025 | 443.7 thousands | 0.2 |
| September 2025 | 441.9 thousands | −0.1 |
| August 2025 | 444.3 thousands | 0.4 |
| July 2025 | 444.9 thousands | −0.07 |
| June 2025 | 445.4 thousands | −0.2 |
| May 2025 | 443.1 thousands | 0.02 |
| April 2025 | 441.4 thousands | −0.02 |
| March 2025 | 442.8 thousands | 0.4 |
| February 2025 | 441.3 thousands | 0.4 |
| January 2025 | 441.0 thousands | 0.5 |
| December 2024 | 452.6 thousands | −0.4 |
| November 2024 | 450.6 thousands | −0.1 |
| October 2024 | 443.0 thousands | −0.3 |

## API

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

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