# Average Weekly Earnings: Total Private — Beaumont-Port Arthur, TX (NSA)

Average Weekly Earnings: Total Private — Beaumont-Port Arthur, TX (NSA) was up 12.8% year on year in September 2026, compared with 10.4% in August 2026.
The level stood at 1,230.5 USD/week.
Over the past ten years it has ranged from −12.4% (Apr 2020) to 23.3% (Jun 2026), averaging 3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-13140.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-beaumont-port-arthur-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,230.5 USD/week | 12.8 |
| August 2026 | 1,220.5 USD/week | 10.4 |
| July 2026 | 1,234.0 USD/week | 17.6 |
| June 2026 | 1,252.2 USD/week | 23.3 |
| May 2026 | 1,199.8 USD/week | 21.6 |
| April 2026 | 1,202.5 USD/week | 19.7 |
| March 2026 | 1,177.0 USD/week | 14.9 |
| February 2026 | 1,183.2 USD/week | 21.5 |
| January 2026 | 1,104.4 USD/week | 12.9 |
| December 2025 | 1,070.3 USD/week | 4.5 |
| November 2025 | 1,107.6 USD/week | 11.7 |
| October 2025 | 1,130.0 USD/week | 14.8 |
| September 2025 | 1,090.8 USD/week | 12.3 |
| August 2025 | 1,105.2 USD/week | 15.2 |
| July 2025 | 1,049.8 USD/week | 13.7 |
| June 2025 | 1,015.7 USD/week | 11.9 |
| May 2025 | 987.0 USD/week | 10.9 |
| April 2025 | 1,005.0 USD/week | 12.5 |
| March 2025 | 1,024.3 USD/week | 14.6 |
| February 2025 | 974.2 USD/week | 12.1 |
| January 2025 | 978.2 USD/week | 13.1 |
| December 2024 | 1,024.5 USD/week | 17.2 |
| November 2024 | 991.3 USD/week | 12.0 |
| October 2024 | 984.0 USD/week | 7.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-13140.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-13140.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```