# Average Weekly Earnings: Total Private — Daphne-Fairhope-Foley, AL (NSA)

Average Weekly Earnings: Total Private — Daphne-Fairhope-Foley, AL (NSA) was up 3.8% year on year in September 2026, compared with 6.7% in August 2026.
The level stood at 938.3 USD/week.
That is the lowest reading since March 2025.
Over the past ten years it has ranged from −12.9% (May 2023) to 24.7% (May 2020), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19300.AWE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-total-private-daphne-fairhope-foley-al-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 938.3 USD/week | 3.8 |
| August 2026 | 938.2 USD/week | 6.7 |
| July 2026 | 918.9 USD/week | 5.1 |
| June 2026 | 939.4 USD/week | 6.3 |
| May 2026 | 928.3 USD/week | 6.8 |
| April 2026 | 907.6 USD/week | 7.8 |
| March 2026 | 934.6 USD/week | 9.3 |
| February 2026 | 959.1 USD/week | 11.8 |
| January 2026 | 928.8 USD/week | 11.3 |
| December 2025 | 917.8 USD/week | 8.0 |
| November 2025 | 934.7 USD/week | 15.9 |
| October 2025 | 903.8 USD/week | 9.0 |
| September 2025 | 904.1 USD/week | 9.2 |
| August 2025 | 879.7 USD/week | 5.4 |
| July 2025 | 874.5 USD/week | 3.8 |
| June 2025 | 883.8 USD/week | 5.2 |
| May 2025 | 869.0 USD/week | 5.4 |
| April 2025 | 842.1 USD/week | 3.9 |
| March 2025 | 855.4 USD/week | 2.9 |
| February 2025 | 857.7 USD/week | 4.7 |
| January 2025 | 834.4 USD/week | 2.8 |
| December 2024 | 849.5 USD/week | −0.6 |
| November 2024 | 806.1 USD/week | 0.4 |
| October 2024 | 829.5 USD/week | −2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19300.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19300.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
