# Average Weekly Earnings: Financial Activities — MA (statewide) (NSA)

Average Weekly Earnings: Financial Activities — MA (statewide) (NSA) was up 9.3% year on year in September 2026, compared with 12.7% in August 2026.
The level stood at 2,334.3 USD/week.
Over the past ten years it has ranged from −4.8% (Apr 2024) to 16.4% (Mar 2025), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.AWE.M.NSA.IND-55000000`
- 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-financial-activities-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,334.3 USD/week | 9.3 |
| August 2026 | 2,425.6 USD/week | 12.7 |
| July 2026 | 2,360.5 USD/week | 11.4 |
| June 2026 | 2,349.5 USD/week | 8.1 |
| May 2026 | 2,385.7 USD/week | 12.1 |
| April 2026 | 2,397.3 USD/week | 14.6 |
| March 2026 | 2,409.2 USD/week | 12.4 |
| February 2026 | 2,399.0 USD/week | 12.0 |
| January 2026 | 2,256.7 USD/week | 10.9 |
| December 2025 | 2,203.4 USD/week | 6.4 |
| November 2025 | 2,279.4 USD/week | 14.7 |
| October 2025 | 2,189.8 USD/week | 13.6 |
| September 2025 | 2,136.4 USD/week | 8.5 |
| August 2025 | 2,153.1 USD/week | 15.4 |
| July 2025 | 2,119.4 USD/week | 14.2 |
| June 2025 | 2,172.9 USD/week | 13.3 |
| May 2025 | 2,128.8 USD/week | 13.6 |
| April 2025 | 2,092.3 USD/week | 12.5 |
| March 2025 | 2,142.7 USD/week | 16.4 |
| February 2025 | 2,142.5 USD/week | 14.7 |
| January 2025 | 2,034.3 USD/week | 7.3 |
| December 2024 | 2,071.3 USD/week | 10.2 |
| November 2024 | 1,986.7 USD/week | 6.7 |
| October 2024 | 1,927.0 USD/week | 1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MA.AWE.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```