# Average Weekly Earnings: Total Private — Myrtle Beach-Conway-North Myrtle Beach, SC (NSA)

Average Weekly Earnings: Total Private — Myrtle Beach-Conway-North Myrtle Beach, SC (NSA) was up 0.6% year on year in September 2026, compared with 4.1% in August 2026.
The level stood at 835.9 USD/week.
Over the past ten years it has ranged from −7.5% (Jan 2018) to 18.2% (Jul 2021), averaging 3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-34820.AWE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-total-private-myrtle-beach-conway-north-myrtle

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 835.9 USD/week | 0.6 |
| August 2026 | 849.4 USD/week | 4.1 |
| July 2026 | 847.1 USD/week | 3.6 |
| June 2026 | 818.6 USD/week | −0.7 |
| May 2026 | 814.8 USD/week | −0.1 |
| April 2026 | 848.1 USD/week | 2.5 |
| March 2026 | 860.5 USD/week | 1.0 |
| February 2026 | 822.6 USD/week | −2.8 |
| January 2026 | 811.0 USD/week | −3.3 |
| December 2025 | 809.1 USD/week | −5.4 |
| November 2025 | 818.7 USD/week | −5.5 |
| October 2025 | 812.7 USD/week | −6.1 |
| September 2025 | 831.3 USD/week | −1.6 |
| August 2025 | 816.0 USD/week | −3.7 |
| July 2025 | 817.7 USD/week | −2.7 |
| June 2025 | 824.6 USD/week | −1.5 |
| May 2025 | 815.9 USD/week | −1.9 |
| April 2025 | 827.3 USD/week | 0.3 |
| March 2025 | 851.8 USD/week | 1.5 |
| February 2025 | 846.7 USD/week | −0.5 |
| January 2025 | 838.5 USD/week | −0.2 |
| December 2024 | 855.3 USD/week | 0.5 |
| November 2024 | 866.4 USD/week | 0.2 |
| October 2024 | 865.3 USD/week | −1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-34820.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-34820.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```