# All Employees: Finance and Insurance — WI (statewide) (NSA)

All Employees: Finance and Insurance — WI (statewide) (NSA) was down 0.08% year on year in September 2026, compared with −1.0% in August 2026.
The level stood at 128.8 thousands.
That is the highest reading since June 2023.
Over the past ten years it has ranged from −1.6% (Feb 2026) to 2.7% (Sep 2022), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WI.PAYEMS.M.NSA.IND-55520000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-finance-and-insurance-wi-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 128.8 thousands | −0.08 |
| August 2026 | 128.9 thousands | −1.0 |
| July 2026 | 128.9 thousands | −1.3 |
| June 2026 | 128.5 thousands | −1.1 |
| May 2026 | 128.0 thousands | −1.1 |
| April 2026 | 128.4 thousands | −0.8 |
| March 2026 | 128.4 thousands | −1.0 |
| February 2026 | 127.7 thousands | −1.6 |
| January 2026 | 128.4 thousands | −1.2 |
| December 2025 | 128.7 thousands | −1.4 |
| November 2025 | 129.5 thousands | −0.6 |
| October 2025 | 129.3 thousands | −0.8 |
| September 2025 | 128.9 thousands | −1.2 |
| August 2025 | 130.2 thousands | −0.8 |
| July 2025 | 130.6 thousands | −0.7 |
| June 2025 | 129.9 thousands | −1.2 |
| May 2025 | 129.4 thousands | −0.9 |
| April 2025 | 129.5 thousands | −0.9 |
| March 2025 | 129.7 thousands | −0.6 |
| February 2025 | 129.8 thousands | −0.5 |
| January 2025 | 130.0 thousands | −0.5 |
| December 2024 | 130.5 thousands | −0.8 |
| November 2024 | 130.3 thousands | −0.7 |
| October 2024 | 130.3 thousands | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WI.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WI.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```