# All Employees: Total Nonfarm — MI (statewide) (NSA)

All Employees: Total Nonfarm — MI (statewide) (NSA) was up 0.03% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 4,505.8 thousands.
Over the past ten years it has ranged from −23.6% (Apr 2020) to 22.1% (Apr 2021), averaging 0.5%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MI.PAYEMS.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1966-01-01 to 2026-09-01 (729 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-mi-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,505.8 thousands | 0.03 |
| August 2026 | 4,503.7 thousands | 0.2 |
| July 2026 | 4,500.6 thousands | 0.5 |
| June 2026 | 4,549.5 thousands | −0.01 |
| May 2026 | 4,525.2 thousands | −0.3 |
| April 2026 | 4,469.2 thousands | −0.2 |
| March 2026 | 4,430.1 thousands | −0.1 |
| February 2026 | 4,414.9 thousands | −0.2 |
| January 2026 | 4,396.4 thousands | −0.04 |
| December 2025 | 4,483.2 thousands | −0.4 |
| November 2025 | 4,502.1 thousands | −0.4 |
| October 2025 | 4,516.5 thousands | 0.1 |
| September 2025 | 4,504.4 thousands | −0.3 |
| August 2025 | 4,494.0 thousands | −0.2 |
| July 2025 | 4,480.4 thousands | 0.2 |
| June 2025 | 4,549.8 thousands | −0.04 |
| May 2025 | 4,537.0 thousands | 0.1 |
| April 2025 | 4,477.0 thousands | 0.02 |
| March 2025 | 4,436.4 thousands | −0.1 |
| February 2025 | 4,424.1 thousands | 0.05 |
| January 2025 | 4,398.3 thousands | 0.08 |
| December 2024 | 4,500.3 thousands | 0.1 |
| November 2024 | 4,521.0 thousands | 0.5 |
| October 2024 | 4,511.6 thousands | 0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MI.PAYEMS.M.NSA"

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