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

Average Weekly Earnings: Total Private — Tyler, TX (NSA) was up 3.1% year on year in September 2026, compared with 5.0% in August 2026.
The level stood at 1,160.5 USD/week.
That is the lowest reading since October 2024.
Over the past ten years it has ranged from −8.5% (Jun 2018) to 19.8% (Aug 2025), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46340.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-tyler-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,160.5 USD/week | 3.1 |
| August 2026 | 1,188.7 USD/week | 5.0 |
| July 2026 | 1,141.7 USD/week | 3.6 |
| June 2026 | 1,156.2 USD/week | 7.6 |
| May 2026 | 1,132.8 USD/week | 8.0 |
| April 2026 | 1,137.2 USD/week | 10.1 |
| March 2026 | 1,145.7 USD/week | 6.4 |
| February 2026 | 1,158.1 USD/week | 9.9 |
| January 2026 | 1,102.9 USD/week | 7.6 |
| December 2025 | 1,124.0 USD/week | 10.5 |
| November 2025 | 1,112.4 USD/week | 12.0 |
| October 2025 | 1,106.6 USD/week | 12.8 |
| September 2025 | 1,125.3 USD/week | 15.3 |
| August 2025 | 1,132.6 USD/week | 19.8 |
| July 2025 | 1,102.0 USD/week | 16.3 |
| June 2025 | 1,074.5 USD/week | 13.7 |
| May 2025 | 1,048.5 USD/week | 11.7 |
| April 2025 | 1,032.6 USD/week | 11.2 |
| March 2025 | 1,077.3 USD/week | 17.0 |
| February 2025 | 1,054.1 USD/week | 14.0 |
| January 2025 | 1,024.8 USD/week | 13.4 |
| December 2024 | 1,017.4 USD/week | 3.2 |
| November 2024 | 993.6 USD/week | 4.9 |
| October 2024 | 981.0 USD/week | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46340.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46340.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```