# All Employees: Financial Activities — ND (statewide) (NSA)

All Employees: Financial Activities — ND (statewide) (NSA) was up 0.8% year on year in September 2026, compared with −0.8% in August 2026.
The level stood at 24.60 thousands.
That is the highest reading since September 2023.
Over the past ten years it has ranged from −3.9% (Jan 2021) to 3.3% (Apr 2023), averaging 0.10%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-ND.PAYEMS.M.NSA.IND-55000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-financial-activities-nd-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 24.60 thousands | 0.8 |
| August 2026 | 24.40 thousands | −0.8 |
| July 2026 | 24.20 thousands | −1.6 |
| June 2026 | 24.20 thousands | −1.6 |
| May 2026 | 24.20 thousands | −1.6 |
| April 2026 | 24.30 thousands | −1.2 |
| March 2026 | 24.20 thousands | −1.6 |
| February 2026 | 24.10 thousands | −2.0 |
| January 2026 | 23.90 thousands | −2.8 |
| December 2025 | 24.40 thousands | −1.6 |
| November 2025 | 24.30 thousands | −2.4 |
| October 2025 | 24.00 thousands | −3.2 |
| September 2025 | 24.40 thousands | −2.0 |
| August 2025 | 24.60 thousands | −1.6 |
| July 2025 | 24.60 thousands | −2.0 |
| June 2025 | 24.60 thousands | −2.0 |
| May 2025 | 24.60 thousands | −1.6 |
| April 2025 | 24.60 thousands | −2.0 |
| March 2025 | 24.60 thousands | −1.6 |
| February 2025 | 24.60 thousands | −1.6 |
| January 2025 | 24.60 thousands | −1.6 |
| December 2024 | 24.80 thousands | −2.0 |
| November 2024 | 24.90 thousands | −1.6 |
| October 2024 | 24.80 thousands | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-ND.PAYEMS.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-ND.PAYEMS.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```