# Average Weekly Earnings: Total Private — Waco, TX (NSA)

Average Weekly Earnings: Total Private — Waco, TX (NSA) was down 3.4% year on year in September 2026, compared with 1.0% in August 2026.
The level stood at 1,053.8 USD/week.
That is the lowest reading since May 2023.
Over the past ten years it has ranged from −23.1% (Jul 2022) to 31.5% (Jun 2024), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47380.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-waco-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,053.8 USD/week | −3.4 |
| August 2026 | 1,103.3 USD/week | 1.0 |
| July 2026 | 1,093.1 USD/week | −0.05 |
| June 2026 | 1,109.2 USD/week | −0.7 |
| May 2026 | 1,109.6 USD/week | 4.9 |
| April 2026 | 1,101.2 USD/week | 0.9 |
| March 2026 | 1,090.7 USD/week | 1.4 |
| February 2026 | 1,084.8 USD/week | 2.0 |
| January 2026 | 1,054.5 USD/week | 3.5 |
| December 2025 | 1,073.0 USD/week | 0.3 |
| November 2025 | 1,104.2 USD/week | 4.4 |
| October 2025 | 1,067.6 USD/week | 2.4 |
| September 2025 | 1,091.3 USD/week | 6.7 |
| August 2025 | 1,092.5 USD/week | 8.1 |
| July 2025 | 1,093.6 USD/week | 9.3 |
| June 2025 | 1,116.9 USD/week | 13.3 |
| May 2025 | 1,057.4 USD/week | 11.4 |
| April 2025 | 1,091.3 USD/week | 19.1 |
| March 2025 | 1,076.2 USD/week | 18.9 |
| February 2025 | 1,063.3 USD/week | 16.2 |
| January 2025 | 1,018.4 USD/week | 17.8 |
| December 2024 | 1,069.3 USD/week | 24.0 |
| November 2024 | 1,058.1 USD/week | 27.6 |
| October 2024 | 1,042.8 USD/week | 22.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47380.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47380.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```