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

All Employees: Financial Activities — IA (statewide) (NSA) was up 1.2% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 105.3 thousands.
That is the highest reading since June 2017.
Over the past ten years it has ranged from −2.0% (Oct 2025) to 2.3% (Sep 2016), averaging −0.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 105.3 thousands | 1.2 |
| August 2026 | 105.5 thousands | 0.4 |
| July 2026 | 106.4 thousands | 0.7 |
| June 2026 | 106.5 thousands | 0.5 |
| May 2026 | 105.4 thousands | 0.0 |
| April 2026 | 104.7 thousands | −0.5 |
| March 2026 | 103.5 thousands | −1.1 |
| February 2026 | 104.3 thousands | −0.7 |
| January 2026 | 104.0 thousands | −1.1 |
| December 2025 | 104.8 thousands | −1.1 |
| November 2025 | 103.9 thousands | −1.9 |
| October 2025 | 103.8 thousands | −2.0 |
| September 2025 | 104.0 thousands | −1.4 |
| August 2025 | 105.1 thousands | −1.5 |
| July 2025 | 105.7 thousands | −1.5 |
| June 2025 | 106.0 thousands | −1.0 |
| May 2025 | 105.4 thousands | −0.8 |
| April 2025 | 105.2 thousands | −0.8 |
| March 2025 | 104.7 thousands | −0.9 |
| February 2025 | 105.0 thousands | −0.8 |
| January 2025 | 105.2 thousands | −0.9 |
| December 2024 | 106.0 thousands | −1.4 |
| November 2024 | 105.9 thousands | −1.5 |
| October 2024 | 105.9 thousands | −1.7 |

## API

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

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