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

Average Weekly Earnings: Construction — KY (statewide) (NSA) was down 3.6% year on year in September 2026, compared with 3.7% in August 2026.
The level stood at 1,453.2 USD/week.
That is the lowest reading since May 2019.
Over the past ten years it has ranged from −6.9% (Aug 2018) to 18.9% (Dec 2023), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-KY.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-ky-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,453.2 USD/week | −3.6 |
| August 2026 | 1,549.2 USD/week | 3.7 |
| July 2026 | 1,594.6 USD/week | 7.7 |
| June 2026 | 1,528.3 USD/week | 4.9 |
| May 2026 | 1,545.8 USD/week | 7.5 |
| April 2026 | 1,543.5 USD/week | 8.7 |
| March 2026 | 1,545.9 USD/week | 9.8 |
| February 2026 | 1,526.5 USD/week | 14.1 |
| January 2026 | 1,491.5 USD/week | 13.7 |
| December 2025 | 1,485.5 USD/week | 3.8 |
| November 2025 | 1,528.9 USD/week | 8.8 |
| October 2025 | 1,499.8 USD/week | 3.8 |
| September 2025 | 1,507.0 USD/week | 9.2 |
| August 2025 | 1,493.9 USD/week | 6.7 |
| July 2025 | 1,480.4 USD/week | 6.2 |
| June 2025 | 1,457.4 USD/week | 3.9 |
| May 2025 | 1,437.7 USD/week | 9.9 |
| April 2025 | 1,419.6 USD/week | 9.6 |
| March 2025 | 1,407.7 USD/week | 8.7 |
| February 2025 | 1,338.0 USD/week | 4.0 |
| January 2025 | 1,311.8 USD/week | 4.5 |
| December 2024 | 1,431.5 USD/week | 7.2 |
| November 2024 | 1,405.1 USD/week | 4.3 |
| October 2024 | 1,445.4 USD/week | 8.0 |

## API

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

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