# All Employees: Financial Activities — Chicago-Naperville-Elgin, IL-IN (NSA)

All Employees: Financial Activities — Chicago-Naperville-Elgin, IL-IN (NSA) was down 3.9% year on year in September 2026, compared with −4.7% in August 2026.
The level stood at 302.9 thousands.
Over the past ten years it has ranged from −4.7% (Aug 2026) to 3.0% (Apr 2019), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16980.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-chicago-naperville-elgin-il-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 302.9 thousands | −3.9 |
| August 2026 | 304.2 thousands | −4.7 |
| July 2026 | 306.5 thousands | −4.2 |
| June 2026 | 306.3 thousands | −3.6 |
| May 2026 | 303.8 thousands | −3.2 |
| April 2026 | 305.3 thousands | −2.3 |
| March 2026 | 306.8 thousands | −1.5 |
| February 2026 | 308.0 thousands | −1.2 |
| January 2026 | 309.2 thousands | −0.8 |
| December 2025 | 314.3 thousands | 0.0 |
| November 2025 | 312.5 thousands | −0.6 |
| October 2025 | 314.8 thousands | −0.3 |
| September 2025 | 315.2 thousands | 0.4 |
| August 2025 | 319.1 thousands | 0.4 |
| July 2025 | 319.9 thousands | 0.5 |
| June 2025 | 317.6 thousands | 0.4 |
| May 2025 | 313.7 thousands | 0.6 |
| April 2025 | 312.6 thousands | 0.4 |
| March 2025 | 311.5 thousands | 0.10 |
| February 2025 | 311.6 thousands | 0.10 |
| January 2025 | 311.7 thousands | 0.06 |
| December 2024 | 314.3 thousands | −0.6 |
| November 2024 | 314.4 thousands | −0.7 |
| October 2024 | 315.6 thousands | −0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```