# All Employees: Merchant Wholesalers, Durable Goods — NJ (statewide) (NSA)

All Employees: Merchant Wholesalers, Durable Goods — NJ (statewide) (NSA) was down 0.7% year on year in September 2026, compared with −1.1% in August 2026.
The level stood at 103.3 thousands.
Over the past ten years it has ranged from −9.9% (Apr 2020) to 5.2% (Apr 2022), averaging −0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NJ.PAYEMS.M.NSA.IND-41423000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-merchant-wholesalers-durable-goods-nj-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 103.3 thousands | −0.7 |
| August 2026 | 103.2 thousands | −1.1 |
| July 2026 | 103.9 thousands | −0.8 |
| June 2026 | 103.9 thousands | −1.2 |
| May 2026 | 104.1 thousands | −0.7 |
| April 2026 | 103.6 thousands | −1.0 |
| March 2026 | 103.9 thousands | −0.9 |
| February 2026 | 103.8 thousands | −0.8 |
| January 2026 | 103.7 thousands | −1.3 |
| December 2025 | 105.8 thousands | −0.7 |
| November 2025 | 104.9 thousands | −1.3 |
| October 2025 | 104.2 thousands | −2.2 |
| September 2025 | 104.0 thousands | −2.7 |
| August 2025 | 104.3 thousands | −2.5 |
| July 2025 | 104.7 thousands | −2.5 |
| June 2025 | 105.2 thousands | −2.5 |
| May 2025 | 104.8 thousands | −2.3 |
| April 2025 | 104.6 thousands | −2.4 |
| March 2025 | 104.8 thousands | −2.5 |
| February 2025 | 104.6 thousands | −2.2 |
| January 2025 | 105.1 thousands | −1.7 |
| December 2024 | 106.5 thousands | −1.5 |
| November 2024 | 106.3 thousands | −1.1 |
| October 2024 | 106.5 thousands | −0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.NSA.IND-41423000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NJ.PAYEMS.M.NSA.IND-41423000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```