# All Employees: Leisure and Hospitality — SC (statewide) (NSA)

All Employees: Leisure and Hospitality — SC (statewide) (NSA) was up 6.6% year on year in September 2026, compared with 4.6% in August 2026.
The level stood at 298.8 thousands.
That is the highest reading since March 2023.
Over the past ten years it has ranged from −44.4% (Apr 2020) to 58.1% (Apr 2021), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-SC.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-sc-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 298.8 thousands | 6.6 |
| August 2026 | 302.9 thousands | 4.6 |
| July 2026 | 303.7 thousands | 4.0 |
| June 2026 | 301.5 thousands | 2.1 |
| May 2026 | 295.0 thousands | 1.3 |
| April 2026 | 288.0 thousands | 0.9 |
| March 2026 | 280.7 thousands | 0.5 |
| February 2026 | 271.8 thousands | 0.3 |
| January 2026 | 272.1 thousands | 2.1 |
| December 2025 | 278.5 thousands | 0.2 |
| November 2025 | 280.6 thousands | 0.5 |
| October 2025 | 284.1 thousands | 1.1 |
| September 2025 | 280.4 thousands | −0.6 |
| August 2025 | 289.6 thousands | 0.1 |
| July 2025 | 291.9 thousands | 0.3 |
| June 2025 | 295.2 thousands | 0.2 |
| May 2025 | 291.2 thousands | 0.0 |
| April 2025 | 285.4 thousands | −0.1 |
| March 2025 | 279.4 thousands | −0.07 |
| February 2025 | 271.1 thousands | −0.3 |
| January 2025 | 266.5 thousands | −0.1 |
| December 2024 | 277.9 thousands | 1.1 |
| November 2024 | 279.3 thousands | 0.4 |
| October 2024 | 281.1 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-SC.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-SC.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```