# Average Weekly Earnings: Construction — PA (statewide) (NSA)

Average Weekly Earnings: Construction — PA (statewide) (NSA) was up 1.9% year on year in September 2026, compared with 4.3% in August 2026.
The level stood at 1,645.3 USD/week.
That is the lowest reading since April 2024.
Over the past ten years it has ranged from −9.1% (Apr 2020) to 16.9% (Apr 2021), averaging 3.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.AWE.M.NSA.IND-20000000`
- 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-construction-pa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,645.3 USD/week | 1.9 |
| August 2026 | 1,727.3 USD/week | 4.3 |
| July 2026 | 1,707.9 USD/week | 3.4 |
| June 2026 | 1,712.4 USD/week | 5.7 |
| May 2026 | 1,703.6 USD/week | 7.0 |
| April 2026 | 1,692.3 USD/week | 8.1 |
| March 2026 | 1,625.1 USD/week | 2.3 |
| February 2026 | 1,622.4 USD/week | 7.4 |
| January 2026 | 1,596.2 USD/week | 5.2 |
| December 2025 | 1,641.0 USD/week | 5.5 |
| November 2025 | 1,639.8 USD/week | 7.2 |
| October 2025 | 1,611.4 USD/week | 3.1 |
| September 2025 | 1,614.0 USD/week | 4.1 |
| August 2025 | 1,655.9 USD/week | 6.0 |
| July 2025 | 1,651.1 USD/week | 7.2 |
| June 2025 | 1,619.7 USD/week | 5.6 |
| May 2025 | 1,592.0 USD/week | 6.2 |
| April 2025 | 1,565.4 USD/week | 5.6 |
| March 2025 | 1,588.7 USD/week | 6.1 |
| February 2025 | 1,510.4 USD/week | 4.3 |
| January 2025 | 1,516.7 USD/week | 5.5 |
| December 2024 | 1,555.8 USD/week | 5.3 |
| November 2024 | 1,530.3 USD/week | 2.4 |
| October 2024 | 1,563.0 USD/week | 4.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.AWE.M.NSA.IND-20000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.AWE.M.NSA.IND-20000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
