# Average Weekly Earnings: Private Service Providing — ID (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — ID (statewide) (NSA) was up 1.4% year on year in September 2026, compared with 3.5% in August 2026.
The level stood at 1,182.8 USD/week.
Over the past ten years it has ranged from −3.5% (Apr 2019) to 19.7% (Jan 2021), averaging 5.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-ID.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-id-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,182.8 USD/week | 1.4 |
| August 2026 | 1,199.2 USD/week | 3.5 |
| July 2026 | 1,167.1 USD/week | 1.0 |
| June 2026 | 1,162.3 USD/week | −0.9 |
| May 2026 | 1,179.1 USD/week | 3.4 |
| April 2026 | 1,164.8 USD/week | 2.4 |
| March 2026 | 1,183.9 USD/week | 4.2 |
| February 2026 | 1,185.0 USD/week | 5.4 |
| January 2026 | 1,142.5 USD/week | 5.3 |
| December 2025 | 1,160.8 USD/week | 5.3 |
| November 2025 | 1,193.3 USD/week | 10.3 |
| October 2025 | 1,163.3 USD/week | 8.0 |
| September 2025 | 1,167.0 USD/week | 9.5 |
| August 2025 | 1,158.4 USD/week | 12.0 |
| July 2025 | 1,155.5 USD/week | 11.3 |
| June 2025 | 1,173.2 USD/week | 10.6 |
| May 2025 | 1,140.6 USD/week | 10.4 |
| April 2025 | 1,137.8 USD/week | 10.0 |
| March 2025 | 1,136.0 USD/week | 12.2 |
| February 2025 | 1,124.2 USD/week | 11.6 |
| January 2025 | 1,085.1 USD/week | 8.2 |
| December 2024 | 1,102.6 USD/week | 10.2 |
| November 2024 | 1,081.4 USD/week | 9.0 |
| October 2024 | 1,077.5 USD/week | 8.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-ID.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-ID.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```