# Average Hourly Earnings: Total Private — Hartford-West Hartford-East Hartford, CT (NSA)

Average Hourly Earnings: Total Private — Hartford-West Hartford-East Hartford, CT (NSA) was up 5.3% year on year in September 2026, compared with 4.9% in August 2026.
The level stood at 40.13 USD/hour.
Over the past ten years it has ranged from −3.5% (Apr 2021) to 9.5% (Dec 2018), averaging 2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25540.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-hartford-west-hartford-east

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 40.13 USD/hour | 5.3 |
| August 2026 | 40.08 USD/hour | 4.9 |
| July 2026 | 39.73 USD/hour | 4.7 |
| June 2026 | 40.12 USD/hour | 6.1 |
| May 2026 | 40.11 USD/hour | 5.1 |
| April 2026 | 39.75 USD/hour | 3.4 |
| March 2026 | 39.72 USD/hour | 1.6 |
| February 2026 | 39.29 USD/hour | −0.5 |
| January 2026 | 39.46 USD/hour | 0.8 |
| December 2025 | 38.72 USD/hour | −0.7 |
| November 2025 | 38.77 USD/hour | −0.05 |
| October 2025 | 38.57 USD/hour | −0.9 |
| September 2025 | 38.10 USD/hour | −1.7 |
| August 2025 | 38.21 USD/hour | −0.5 |
| July 2025 | 37.96 USD/hour | 0.2 |
| June 2025 | 37.83 USD/hour | −1.6 |
| May 2025 | 38.17 USD/hour | −0.2 |
| April 2025 | 38.44 USD/hour | 0.8 |
| March 2025 | 39.10 USD/hour | 2.7 |
| February 2025 | 39.47 USD/hour | 2.9 |
| January 2025 | 39.13 USD/hour | 2.9 |
| December 2024 | 39.01 USD/hour | 2.9 |
| November 2024 | 38.79 USD/hour | 2.4 |
| October 2024 | 38.93 USD/hour | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25540.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25540.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```