# Average Weekly Earnings: Private Service Providing — TX (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — TX (statewide) (NSA) was up 4.0% year on year in September 2026, compared with 7.2% in August 2026.
The level stood at 1,229.3 USD/week.
Over the past ten years it has ranged from −2.8% (Jul 2019) to 10.8% (Jan 2022), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-tx-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,229.3 USD/week | 4.0 |
| August 2026 | 1,261.3 USD/week | 7.2 |
| July 2026 | 1,221.0 USD/week | 5.6 |
| June 2026 | 1,204.4 USD/week | 0.8 |
| May 2026 | 1,185.4 USD/week | 3.1 |
| April 2026 | 1,182.7 USD/week | 2.4 |
| March 2026 | 1,197.3 USD/week | 1.4 |
| February 2026 | 1,212.0 USD/week | 2.2 |
| January 2026 | 1,189.0 USD/week | 5.1 |
| December 2025 | 1,194.7 USD/week | 2.0 |
| November 2025 | 1,209.2 USD/week | 7.7 |
| October 2025 | 1,179.2 USD/week | 5.7 |
| September 2025 | 1,181.6 USD/week | 4.8 |
| August 2025 | 1,176.2 USD/week | 5.7 |
| July 2025 | 1,156.4 USD/week | 6.3 |
| June 2025 | 1,195.4 USD/week | 6.7 |
| May 2025 | 1,150.0 USD/week | 6.8 |
| April 2025 | 1,155.4 USD/week | 6.6 |
| March 2025 | 1,180.9 USD/week | 8.8 |
| February 2025 | 1,185.8 USD/week | 10.0 |
| January 2025 | 1,131.0 USD/week | 5.1 |
| December 2024 | 1,171.8 USD/week | 9.1 |
| November 2024 | 1,122.6 USD/week | 5.9 |
| October 2024 | 1,115.3 USD/week | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
