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

Average Weekly Earnings: Private Service Providing — DC (statewide) (NSA) was up 5.4% year on year in September 2026, compared with 9.2% in August 2026.
The level stood at 2,043.0 USD/week.
Over the past ten years it has ranged from −9.5% (Aug 2022) to 22.0% (Nov 2020), averaging 4.5%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,043.0 USD/week | 5.4 |
| August 2026 | 2,112.4 USD/week | 9.2 |
| July 2026 | 2,026.3 USD/week | 4.9 |
| June 2026 | 2,044.6 USD/week | 2.6 |
| May 2026 | 2,043.9 USD/week | 8.2 |
| April 2026 | 2,037.9 USD/week | 10.0 |
| March 2026 | 2,114.4 USD/week | 9.9 |
| February 2026 | 2,134.9 USD/week | 10.4 |
| January 2026 | 1,999.9 USD/week | 5.0 |
| December 2025 | 2,010.0 USD/week | 2.6 |
| November 2025 | 2,043.0 USD/week | 10.2 |
| October 2025 | 1,952.2 USD/week | 7.0 |
| September 2025 | 1,938.8 USD/week | 2.5 |
| August 2025 | 1,934.8 USD/week | 6.6 |
| July 2025 | 1,931.0 USD/week | 6.1 |
| June 2025 | 1,992.9 USD/week | 6.2 |
| May 2025 | 1,888.2 USD/week | 6.3 |
| April 2025 | 1,852.8 USD/week | 2.3 |
| March 2025 | 1,924.0 USD/week | 6.2 |
| February 2025 | 1,934.5 USD/week | 7.2 |
| January 2025 | 1,904.8 USD/week | 6.0 |
| December 2024 | 1,958.3 USD/week | 8.4 |
| November 2024 | 1,854.0 USD/week | 3.5 |
| October 2024 | 1,824.7 USD/week | −2.5 |

## API

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

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