# Average Hourly Earnings: Total Private — Olympia-Lacey-Tumwater, WA (NSA)

Average Hourly Earnings: Total Private — Olympia-Lacey-Tumwater, WA (NSA) was down 3.5% year on year in September 2026, compared with −1.6% in August 2026.
The level stood at 35.81 USD/hour.
That is the lowest reading since October 2024.
Over the past ten years it has ranged from −8.3% (Jul 2024) to 19.7% (Jul 2022), averaging 5.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36500.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-olympia-lacey-tumwater-wa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 35.81 USD/hour | −3.5 |
| August 2026 | 36.39 USD/hour | −1.6 |
| July 2026 | 35.98 USD/hour | 0.2 |
| June 2026 | 36.27 USD/hour | 1.3 |
| May 2026 | 36.27 USD/hour | 0.8 |
| April 2026 | 37.43 USD/hour | 4.6 |
| March 2026 | 37.52 USD/hour | 5.9 |
| February 2026 | 38.06 USD/hour | 6.5 |
| January 2026 | 37.72 USD/hour | 5.7 |
| December 2025 | 36.92 USD/hour | 2.8 |
| November 2025 | 37.82 USD/hour | 5.6 |
| October 2025 | 37.34 USD/hour | 5.6 |
| September 2025 | 37.10 USD/hour | 5.3 |
| August 2025 | 37.00 USD/hour | 3.5 |
| July 2025 | 35.91 USD/hour | 1.5 |
| June 2025 | 35.81 USD/hour | −1.4 |
| May 2025 | 35.98 USD/hour | 1.8 |
| April 2025 | 35.77 USD/hour | 1.8 |
| March 2025 | 35.43 USD/hour | 3.2 |
| February 2025 | 35.73 USD/hour | 1.5 |
| January 2025 | 35.70 USD/hour | 2.4 |
| December 2024 | 35.91 USD/hour | −1.2 |
| November 2024 | 35.81 USD/hour | −1.9 |
| October 2024 | 35.35 USD/hour | −3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36500.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36500.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
