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

All Employees: Finance and Insurance — OH (statewide) (NSA) was up 0.2% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 241.1 thousands.
That is the highest reading since December 2022.
Over the past ten years it has ranged from −2.8% (Mar 2024) to 3.4% (Dec 2016), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OH.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-oh-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 241.1 thousands | 0.2 |
| August 2026 | 241.6 thousands | −0.3 |
| July 2026 | 243.0 thousands | 0.04 |
| June 2026 | 241.6 thousands | −0.2 |
| May 2026 | 240.3 thousands | −0.7 |
| April 2026 | 241.2 thousands | −0.3 |
| March 2026 | 240.6 thousands | −0.5 |
| February 2026 | 240.8 thousands | −0.7 |
| January 2026 | 241.0 thousands | −0.6 |
| December 2025 | 241.3 thousands | −1.0 |
| November 2025 | 241.5 thousands | −1.0 |
| October 2025 | 241.7 thousands | −0.9 |
| September 2025 | 240.7 thousands | −1.0 |
| August 2025 | 242.3 thousands | −0.7 |
| July 2025 | 242.9 thousands | −0.9 |
| June 2025 | 242.2 thousands | −0.9 |
| May 2025 | 242.0 thousands | −0.8 |
| April 2025 | 241.9 thousands | −0.7 |
| March 2025 | 241.9 thousands | −0.8 |
| February 2025 | 242.6 thousands | −1.0 |
| January 2025 | 242.4 thousands | −1.5 |
| December 2024 | 243.8 thousands | −1.7 |
| November 2024 | 244.0 thousands | −1.8 |
| October 2024 | 243.8 thousands | −1.9 |

## API

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

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