# Average Hourly Earnings: Total Private — Washington, DC-MD Metropolitan Division (NSA)

Average Hourly Earnings: Total Private — Washington, DC-MD Metropolitan Division (NSA) was up 6.7% year on year in September 2026, compared with 6.0% in August 2026.
The level stood at 51.95 USD/hour.
Over the past ten years it has ranged from −6.5% (Apr 2025) to 15.0% (Nov 2020), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47764.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-washington-dc-md-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 51.95 USD/hour | 6.7 |
| August 2026 | 52.00 USD/hour | 6.0 |
| July 2026 | 51.23 USD/hour | 4.6 |
| June 2026 | 51.57 USD/hour | 4.8 |
| May 2026 | 51.48 USD/hour | 6.6 |
| April 2026 | 51.34 USD/hour | 7.4 |
| March 2026 | 51.85 USD/hour | 5.2 |
| February 2026 | 52.30 USD/hour | 4.7 |
| January 2026 | 51.24 USD/hour | 0.5 |
| December 2025 | 50.57 USD/hour | −0.5 |
| November 2025 | 50.19 USD/hour | −0.6 |
| October 2025 | 48.58 USD/hour | −3.8 |
| September 2025 | 48.68 USD/hour | −5.1 |
| August 2025 | 49.04 USD/hour | −2.1 |
| July 2025 | 48.98 USD/hour | −1.9 |
| June 2025 | 49.20 USD/hour | −2.0 |
| May 2025 | 48.28 USD/hour | −0.3 |
| April 2025 | 47.79 USD/hour | −6.5 |
| March 2025 | 49.28 USD/hour | −4.0 |
| February 2025 | 49.97 USD/hour | −2.9 |
| January 2025 | 51.00 USD/hour | −1.3 |
| December 2024 | 50.84 USD/hour | −0.8 |
| November 2024 | 50.50 USD/hour | −1.1 |
| October 2024 | 50.48 USD/hour | −3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47764.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47764.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```