# All Employees: Leisure and Hospitality — Myrtle Beach-Conway-North Myrtle Beach, SC (NSA)

All Employees: Leisure and Hospitality — Myrtle Beach-Conway-North Myrtle Beach, SC (NSA) was up 12.1% year on year in September 2026, compared with 9.8% in August 2026.
The level stood at 41.60 thousands.
That is the highest reading since March 2022.
Over the past ten years it has ranged from −56.6% (Apr 2020) to 99.4% (Apr 2021), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-34820.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-myrtle-beach-conway-north-myrtle

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 41.60 thousands | 12.1 |
| August 2026 | 43.60 thousands | 9.8 |
| July 2026 | 45.60 thousands | 11.8 |
| June 2026 | 44.30 thousands | 7.3 |
| May 2026 | 41.30 thousands | 5.9 |
| April 2026 | 38.90 thousands | 2.4 |
| March 2026 | 36.00 thousands | 2.0 |
| February 2026 | 33.30 thousands | 1.2 |
| January 2026 | 32.30 thousands | 1.9 |
| December 2025 | 33.30 thousands | −1.2 |
| November 2025 | 34.40 thousands | −1.7 |
| October 2025 | 36.60 thousands | 1.1 |
| September 2025 | 37.10 thousands | −1.1 |
| August 2025 | 39.70 thousands | −0.7 |
| July 2025 | 40.80 thousands | −1.7 |
| June 2025 | 41.30 thousands | −0.2 |
| May 2025 | 39.00 thousands | −1.0 |
| April 2025 | 38.00 thousands | −0.3 |
| March 2025 | 35.30 thousands | −2.2 |
| February 2025 | 32.90 thousands | −1.5 |
| January 2025 | 31.70 thousands | −0.6 |
| December 2024 | 33.70 thousands | −0.6 |
| November 2024 | 35.00 thousands | −0.8 |
| October 2024 | 36.20 thousands | −1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-34820.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-34820.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```