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

All Employees: Finance and Insurance — WV (statewide) (NSA) was down 2.1% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 18.70 thousands.
That is the lowest reading since November 2017.
Over the past ten years it has ranged from −3.5% (Nov 2017) to 5.7% (Oct 2021), averaging 1.0%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 18.70 thousands | −2.1 |
| August 2026 | 19.00 thousands | −0.5 |
| July 2026 | 18.90 thousands | −0.5 |
| June 2026 | 19.10 thousands | 0.5 |
| May 2026 | 19.10 thousands | 1.1 |
| April 2026 | 19.00 thousands | 0.5 |
| March 2026 | 19.00 thousands | 0.5 |
| February 2026 | 19.20 thousands | 1.1 |
| January 2026 | 19.00 thousands | 0.0 |
| December 2025 | 19.10 thousands | 0.5 |
| November 2025 | 19.30 thousands | 1.6 |
| October 2025 | 19.30 thousands | 1.6 |
| September 2025 | 19.10 thousands | 0.0 |
| August 2025 | 19.10 thousands | 0.0 |
| July 2025 | 19.00 thousands | −0.5 |
| June 2025 | 19.00 thousands | 0.0 |
| May 2025 | 18.90 thousands | 0.0 |
| April 2025 | 18.90 thousands | 0.0 |
| March 2025 | 18.90 thousands | 0.0 |
| February 2025 | 19.00 thousands | 0.5 |
| January 2025 | 19.00 thousands | 0.0 |
| December 2024 | 19.00 thousands | −0.5 |
| November 2024 | 19.00 thousands | −0.5 |
| October 2024 | 19.00 thousands | −0.5 |

## API

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

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