# Average Hourly Earnings: Total Private — State College, PA (NSA)

Average Hourly Earnings: Total Private — State College, PA (NSA) was up 2.0% year on year in September 2026, compared with −3.3% in August 2026.
The level stood at 25.55 USD/hour.
That is the highest reading since March 2023.
Over the past ten years it has ranged from −8.1% (Dec 2019) to 19.2% (Feb 2022), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44300.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-state-college-pa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 25.55 USD/hour | 2.0 |
| August 2026 | 24.33 USD/hour | −3.3 |
| July 2026 | 24.33 USD/hour | −1.9 |
| June 2026 | 24.74 USD/hour | −1.2 |
| May 2026 | 24.18 USD/hour | −2.7 |
| April 2026 | 24.17 USD/hour | −1.9 |
| March 2026 | 24.07 USD/hour | −2.7 |
| February 2026 | 24.82 USD/hour | −3.0 |
| January 2026 | 25.24 USD/hour | −0.3 |
| December 2025 | 25.34 USD/hour | 1.6 |
| November 2025 | 24.97 USD/hour | −0.2 |
| October 2025 | 24.89 USD/hour | 0.6 |
| September 2025 | 25.06 USD/hour | −1.7 |
| August 2025 | 25.15 USD/hour | −1.7 |
| July 2025 | 24.80 USD/hour | −3.7 |
| June 2025 | 25.04 USD/hour | −1.5 |
| May 2025 | 24.85 USD/hour | −1.8 |
| April 2025 | 24.63 USD/hour | −2.5 |
| March 2025 | 24.75 USD/hour | −1.9 |
| February 2025 | 25.58 USD/hour | −0.5 |
| January 2025 | 25.32 USD/hour | 0.6 |
| December 2024 | 24.95 USD/hour | −1.9 |
| November 2024 | 25.03 USD/hour | −4.2 |
| October 2024 | 24.74 USD/hour | −5.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44300.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44300.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
