# Average Hourly Earnings: Total Private — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA)

Average Hourly Earnings: Total Private — Cambridge-Newton-Framingham, MA Metropolitan Division (NSA) was up 3.4% year on year in September 2026, compared with 2.8% in August 2026.
The level stood at 46.04 USD/hour.
Over the past ten years it has ranged from −3.1% (Apr 2021) to 14.0% (Apr 2020), averaging 3.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15764.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-cambridge-newton-framingham-ma

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 46.04 USD/hour | 3.4 |
| August 2026 | 45.48 USD/hour | 2.8 |
| July 2026 | 45.28 USD/hour | 3.0 |
| June 2026 | 45.14 USD/hour | 2.0 |
| May 2026 | 45.80 USD/hour | 3.4 |
| April 2026 | 45.92 USD/hour | 3.9 |
| March 2026 | 46.09 USD/hour | 4.3 |
| February 2026 | 45.94 USD/hour | 3.8 |
| January 2026 | 45.66 USD/hour | 3.3 |
| December 2025 | 44.90 USD/hour | 2.0 |
| November 2025 | 45.18 USD/hour | 3.8 |
| October 2025 | 44.62 USD/hour | 2.8 |
| September 2025 | 44.51 USD/hour | 3.3 |
| August 2025 | 44.24 USD/hour | 2.7 |
| July 2025 | 43.96 USD/hour | 1.1 |
| June 2025 | 44.24 USD/hour | 2.7 |
| May 2025 | 44.29 USD/hour | 2.8 |
| April 2025 | 44.20 USD/hour | 1.7 |
| March 2025 | 44.18 USD/hour | 2.2 |
| February 2025 | 44.24 USD/hour | 2.0 |
| January 2025 | 44.22 USD/hour | 2.1 |
| December 2024 | 44.03 USD/hour | 1.9 |
| November 2024 | 43.52 USD/hour | 0.6 |
| October 2024 | 43.39 USD/hour | −0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15764.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15764.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```