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

All Employees: Wholesale Trade — Chicago-Naperville-Elgin, IL-IN (NSA) was down 2.3% year on year in September 2026, compared with −3.5% in August 2026.
The level stood at 232.6 thousands.
Over the past ten years it has ranged from −7.1% (May 2020) to 4.6% (Sep 2022), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16980.PAYEMS.M.NSA.IND-41000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-wholesale-trade-chicago-naperville-elgin-il-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 232.6 thousands | −2.3 |
| August 2026 | 231.4 thousands | −3.5 |
| July 2026 | 231.3 thousands | −4.1 |
| June 2026 | 231.6 thousands | −4.0 |
| May 2026 | 232.6 thousands | −3.5 |
| April 2026 | 230.6 thousands | −4.2 |
| March 2026 | 230.2 thousands | −4.4 |
| February 2026 | 232.3 thousands | −3.4 |
| January 2026 | 232.8 thousands | −3.5 |
| December 2025 | 236.2 thousands | −2.6 |
| November 2025 | 236.0 thousands | −2.6 |
| October 2025 | 236.8 thousands | −2.2 |
| September 2025 | 238.1 thousands | −2.1 |
| August 2025 | 239.7 thousands | −1.6 |
| July 2025 | 241.1 thousands | −1.6 |
| June 2025 | 241.3 thousands | −1.7 |
| May 2025 | 241.1 thousands | −1.4 |
| April 2025 | 240.6 thousands | −1.5 |
| March 2025 | 240.9 thousands | −1.3 |
| February 2025 | 240.6 thousands | −1.2 |
| January 2025 | 241.2 thousands | −0.8 |
| December 2024 | 242.5 thousands | −1.3 |
| November 2024 | 242.4 thousands | −0.7 |
| October 2024 | 242.2 thousands | −0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-41000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16980.PAYEMS.M.NSA.IND-41000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```