# Average Weekly Earnings: Total Private — Michigan City-La Porte, IN (NSA)

Average Weekly Earnings: Total Private — Michigan City-La Porte, IN (NSA) was down 10.6% year on year in September 2026, compared with −13.0% in August 2026.
The level stood at 941.5 USD/week.
Over the past ten years it has ranged from −17.6% (Apr 2026) to 23.6% (Sep 2018), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33140.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-michigan-city-la-porte-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 941.5 USD/week | −10.6 |
| August 2026 | 915.3 USD/week | −13.0 |
| July 2026 | 947.5 USD/week | −8.8 |
| June 2026 | 949.9 USD/week | −11.9 |
| May 2026 | 899.6 USD/week | −17.2 |
| April 2026 | 904.4 USD/week | −17.6 |
| March 2026 | 928.5 USD/week | −12.8 |
| February 2026 | 930.2 USD/week | −9.8 |
| January 2026 | 937.5 USD/week | −9.9 |
| December 2025 | 932.4 USD/week | −11.1 |
| November 2025 | 991.0 USD/week | −7.0 |
| October 2025 | 998.4 USD/week | −7.7 |
| September 2025 | 1,053.2 USD/week | −3.9 |
| August 2025 | 1,051.6 USD/week | −3.7 |
| July 2025 | 1,039.3 USD/week | −2.3 |
| June 2025 | 1,078.5 USD/week | −2.0 |
| May 2025 | 1,086.4 USD/week | 0.5 |
| April 2025 | 1,097.6 USD/week | 5.0 |
| March 2025 | 1,064.3 USD/week | −1.3 |
| February 2025 | 1,031.0 USD/week | 4.3 |
| January 2025 | 1,040.8 USD/week | 6.5 |
| December 2024 | 1,048.9 USD/week | 0.07 |
| November 2024 | 1,065.2 USD/week | 1.8 |
| October 2024 | 1,081.7 USD/week | 10.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33140.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33140.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```