# All Employees: Non-Durable Goods — Hickory-Lenoir-Morganton, NC (NSA)

All Employees: Non-Durable Goods — Hickory-Lenoir-Morganton, NC (NSA) was down 2.6% year on year in September 2026, compared with −2.6% in August 2026.
The level stood at 14.90 thousands.
Over the past ten years it has ranged from −10.3% (Apr 2020) to 6.9% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25860.PAYEMS.M.NSA.IND-32000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-non-durable-goods-hickory-lenoir-morganton-nc-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 14.90 thousands | −2.6 |
| August 2026 | 15.00 thousands | −2.6 |
| July 2026 | 15.00 thousands | −2.6 |
| June 2026 | 15.00 thousands | −3.2 |
| May 2026 | 15.10 thousands | −3.2 |
| April 2026 | 15.20 thousands | −2.6 |
| March 2026 | 15.10 thousands | −3.8 |
| February 2026 | 15.00 thousands | −5.1 |
| January 2026 | 15.20 thousands | −2.6 |
| December 2025 | 15.20 thousands | −3.2 |
| November 2025 | 15.20 thousands | −2.6 |
| October 2025 | 15.30 thousands | −1.9 |
| September 2025 | 15.30 thousands | −1.3 |
| August 2025 | 15.40 thousands | −1.9 |
| July 2025 | 15.40 thousands | −1.9 |
| June 2025 | 15.50 thousands | −1.9 |
| May 2025 | 15.60 thousands | −1.3 |
| April 2025 | 15.60 thousands | −0.6 |
| March 2025 | 15.70 thousands | 0.0 |
| February 2025 | 15.80 thousands | 0.6 |
| January 2025 | 15.60 thousands | 0.6 |
| December 2024 | 15.70 thousands | 0.6 |
| November 2024 | 15.60 thousands | 0.6 |
| October 2024 | 15.60 thousands | 0.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25860.PAYEMS.M.NSA.IND-32000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25860.PAYEMS.M.NSA.IND-32000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```