# All Employees: Service-Providing — MI (statewide) (NSA)

All Employees: Service-Providing — MI (statewide) (NSA) was up 0.09% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 3,704.4 thousands.
Over the past ten years it has ranged from −20.7% (Apr 2020) to 17.7% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MI.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-mi-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 3,704.4 thousands | 0.09 |
| August 2026 | 3,698.6 thousands | 0.4 |
| July 2026 | 3,696.2 thousands | 0.6 |
| June 2026 | 3,744.8 thousands | 0.2 |
| May 2026 | 3,729.6 thousands | −0.06 |
| April 2026 | 3,690.4 thousands | 0.09 |
| March 2026 | 3,662.1 thousands | 0.2 |
| February 2026 | 3,650.7 thousands | 0.06 |
| January 2026 | 3,631.8 thousands | −0.06 |
| December 2025 | 3,699.4 thousands | −0.04 |
| November 2025 | 3,709.0 thousands | −0.2 |
| October 2025 | 3,713.6 thousands | 0.1 |
| September 2025 | 3,701.2 thousands | 0.07 |
| August 2025 | 3,685.0 thousands | 0.2 |
| July 2025 | 3,675.9 thousands | 0.5 |
| June 2025 | 3,736.7 thousands | 0.3 |
| May 2025 | 3,731.8 thousands | 0.5 |
| April 2025 | 3,687.0 thousands | 0.5 |
| March 2025 | 3,656.0 thousands | 0.4 |
| February 2025 | 3,648.5 thousands | 0.6 |
| January 2025 | 3,634.0 thousands | 0.9 |
| December 2024 | 3,700.9 thousands | 0.5 |
| November 2024 | 3,716.8 thousands | 1.0 |
| October 2024 | 3,708.5 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MI.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MI.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```