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

All Employees: Merchant Wholesalers, Durable Goods — ND (statewide) (NSA) was down 4.8% year on year in September 2026, compared with −4.8% in August 2026.
The level stood at 11.90 thousands.
Over the past ten years it has ranged from −11.8% (Oct 2016) to 5.8% (Sep 2023), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-ND.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-nd-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 11.90 thousands | −4.8 |
| August 2026 | 12.00 thousands | −4.8 |
| July 2026 | 11.90 thousands | −6.3 |
| June 2026 | 11.90 thousands | −5.6 |
| May 2026 | 11.60 thousands | −7.9 |
| April 2026 | 11.90 thousands | −5.6 |
| March 2026 | 12.00 thousands | −4.0 |
| February 2026 | 12.00 thousands | −4.0 |
| January 2026 | 12.00 thousands | −4.8 |
| December 2025 | 12.00 thousands | −5.5 |
| November 2025 | 12.20 thousands | −3.9 |
| October 2025 | 12.40 thousands | −3.1 |
| September 2025 | 12.50 thousands | −3.1 |
| August 2025 | 12.60 thousands | −3.1 |
| July 2025 | 12.70 thousands | −2.3 |
| June 2025 | 12.60 thousands | −2.3 |
| May 2025 | 12.60 thousands | −1.6 |
| April 2025 | 12.60 thousands | −1.6 |
| March 2025 | 12.50 thousands | −2.3 |
| February 2025 | 12.50 thousands | −1.6 |
| January 2025 | 12.60 thousands | −0.8 |
| December 2024 | 12.70 thousands | −0.8 |
| November 2024 | 12.70 thousands | 0.0 |
| October 2024 | 12.80 thousands | 0.8 |

## API

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

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