# All Employees: Total Nonfarm — Chicago-Naperville-Elgin, IL-IN (SA)

All Employees: Total Nonfarm — Chicago-Naperville-Elgin, IL-IN (SA) was down 0.03% year on year in September 2026, compared with 0.06% in August 2026.
The level stood at 4,745.1 thousands.
Over the past ten years it has ranged from −13.6% (Apr 2020) to 9.1% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16980.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-chicago-naperville-elgin-il-in-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,745.1 thousands | −0.03 |
| August 2026 | 4,750.8 thousands | 0.06 |
| July 2026 | 4,758.4 thousands | 0.1 |
| June 2026 | 4,757.1 thousands | 0.1 |
| May 2026 | 4,761.2 thousands | −0.02 |
| April 2026 | 4,761.7 thousands | 0.04 |
| March 2026 | 4,754.7 thousands | −0.04 |
| February 2026 | 4,746.8 thousands | −0.3 |
| January 2026 | 4,753.0 thousands | −0.1 |
| December 2025 | 4,756.9 thousands | 0.2 |
| November 2025 | 4,749.5 thousands | 0.2 |
| October 2025 | 4,747.4 thousands | 0.2 |
| September 2025 | 4,746.4 thousands | 0.3 |
| August 2025 | 4,748.1 thousands | 0.5 |
| July 2025 | 4,753.6 thousands | 0.7 |
| June 2025 | 4,752.0 thousands | 0.6 |
| May 2025 | 4,762.0 thousands | 0.7 |
| April 2025 | 4,759.7 thousands | 0.8 |
| March 2025 | 4,756.8 thousands | 0.7 |
| February 2025 | 4,760.4 thousands | 0.9 |
| January 2025 | 4,757.8 thousands | 1.0 |
| December 2024 | 4,747.1 thousands | 0.8 |
| November 2024 | 4,737.9 thousands | 0.8 |
| October 2024 | 4,736.7 thousands | 0.8 |

## API

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

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