# Average Weekly Earnings: Total Private — Coeur d'Alene, ID (NSA)

Average Weekly Earnings: Total Private — Coeur d'Alene, ID (NSA) was down 3.4% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 970.9 USD/week.
That is the lowest reading since August 2022.
Over the past ten years it has ranged from −10.8% (Jun 2020) to 16.7% (Apr 2021), averaging 3.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-17660.AWE.M.NSA.IND-05000000`
- 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-total-private-coeur-d-alene-id-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 970.9 USD/week | −3.4 |
| August 2026 | 996.0 USD/week | −0.3 |
| July 2026 | 1,004.4 USD/week | 3.6 |
| June 2026 | 992.6 USD/week | 1.5 |
| May 2026 | 1,011.5 USD/week | 2.4 |
| April 2026 | 1,013.5 USD/week | 3.0 |
| March 2026 | 1,038.8 USD/week | 5.4 |
| February 2026 | 1,016.2 USD/week | 1.4 |
| January 2026 | 985.0 USD/week | 3.4 |
| December 2025 | 1,004.4 USD/week | 10.0 |
| November 2025 | 1,039.1 USD/week | 12.2 |
| October 2025 | 1,000.1 USD/week | 6.4 |
| September 2025 | 1,005.2 USD/week | 5.0 |
| August 2025 | 999.4 USD/week | 4.3 |
| July 2025 | 969.4 USD/week | 0.6 |
| June 2025 | 978.1 USD/week | 0.3 |
| May 2025 | 987.8 USD/week | 3.3 |
| April 2025 | 984.1 USD/week | 4.1 |
| March 2025 | 985.3 USD/week | 3.9 |
| February 2025 | 1,001.7 USD/week | 5.5 |
| January 2025 | 952.5 USD/week | 6.1 |
| December 2024 | 912.8 USD/week | −2.3 |
| November 2024 | 925.9 USD/week | 0.7 |
| October 2024 | 939.9 USD/week | −0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-17660.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-17660.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```