# Average Weekly Earnings: Total Private — Tulsa, OK (NSA)

Average Weekly Earnings: Total Private — Tulsa, OK (NSA) was down 3.6% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 1,173.4 USD/week.
That is the lowest reading since June 2020.
Over the past ten years it has ranged from −4.7% (Jun 2020) to 10.7% (Feb 2022), averaging 3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46140.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-tulsa-ok-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,173.4 USD/week | −3.6 |
| August 2026 | 1,213.2 USD/week | 3.3 |
| July 2026 | 1,183.0 USD/week | 5.9 |
| June 2026 | 1,188.0 USD/week | 2.4 |
| May 2026 | 1,184.1 USD/week | 2.9 |
| April 2026 | 1,187.3 USD/week | 1.9 |
| March 2026 | 1,183.4 USD/week | 2.1 |
| February 2026 | 1,181.1 USD/week | 3.9 |
| January 2026 | 1,152.9 USD/week | 3.4 |
| December 2025 | 1,158.8 USD/week | −0.6 |
| November 2025 | 1,192.3 USD/week | 3.8 |
| October 2025 | 1,180.1 USD/week | 4.8 |
| September 2025 | 1,217.0 USD/week | 4.6 |
| August 2025 | 1,174.0 USD/week | 5.0 |
| July 2025 | 1,116.6 USD/week | 0.6 |
| June 2025 | 1,160.1 USD/week | 1.2 |
| May 2025 | 1,150.7 USD/week | 2.9 |
| April 2025 | 1,164.8 USD/week | 3.7 |
| March 2025 | 1,159.5 USD/week | 2.4 |
| February 2025 | 1,137.0 USD/week | 0.8 |
| January 2025 | 1,114.8 USD/week | 1.0 |
| December 2024 | 1,166.4 USD/week | 5.6 |
| November 2024 | 1,148.8 USD/week | 4.2 |
| October 2024 | 1,126.4 USD/week | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46140.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46140.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```