# All Employees: Retail Trade — Chicago-Naperville-Elgin, IL-IN (NSA)

All Employees: Retail Trade — Chicago-Naperville-Elgin, IL-IN (NSA) was down 1.9% year on year in September 2026, compared with −2.0% in August 2026.
The level stood at 407.5 thousands.
Over the past ten years it has ranged from −18.8% (Apr 2020) to 18.1% (Apr 2021), averaging −0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16980.PAYEMS.M.NSA.IND-42000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-retail-trade-chicago-naperville-elgin-il-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 407.5 thousands | −1.9 |
| August 2026 | 409.7 thousands | −2.0 |
| July 2026 | 412.4 thousands | −1.7 |
| June 2026 | 414.0 thousands | −1.7 |
| May 2026 | 410.4 thousands | −1.9 |
| April 2026 | 409.0 thousands | −1.5 |
| March 2026 | 408.5 thousands | −1.8 |
| February 2026 | 407.2 thousands | −1.8 |
| January 2026 | 412.7 thousands | −1.8 |
| December 2025 | 429.1 thousands | −1.8 |
| November 2025 | 424.7 thousands | −1.9 |
| October 2025 | 416.3 thousands | −1.8 |
| September 2025 | 415.4 thousands | −1.1 |
| August 2025 | 418.2 thousands | −0.9 |
| July 2025 | 419.4 thousands | −0.8 |
| June 2025 | 421.1 thousands | −0.3 |
| May 2025 | 418.3 thousands | −0.05 |
| April 2025 | 415.3 thousands | −0.07 |
| March 2025 | 415.9 thousands | 0.2 |
| February 2025 | 414.6 thousands | 0.3 |
| January 2025 | 420.2 thousands | −0.2 |
| December 2024 | 437.1 thousands | 0.2 |
| November 2024 | 433.1 thousands | −0.05 |
| October 2024 | 424.0 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-42000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-42000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```