# All Employees: Non-Durable Goods — Knoxville, TN (NSA)

All Employees: Non-Durable Goods — Knoxville, TN (NSA) was down 3.6% year on year in September 2026, compared with −2.7% in August 2026.
The level stood at 10.60 thousands.
That is the lowest reading since February 2025.
Over the past ten years it has ranged from −7.0% (Dec 2024) to 11.1% (Apr 2021), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-28940.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-knoxville-tn-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 10.60 thousands | −3.6 |
| August 2026 | 10.70 thousands | −2.7 |
| July 2026 | 10.80 thousands | −0.9 |
| June 2026 | 10.80 thousands | −1.8 |
| May 2026 | 10.80 thousands | −0.9 |
| April 2026 | 10.80 thousands | −0.9 |
| March 2026 | 10.80 thousands | 0.0 |
| February 2026 | 10.80 thousands | 0.9 |
| January 2026 | 10.90 thousands | 1.9 |
| December 2025 | 11.00 thousands | 3.8 |
| November 2025 | 11.00 thousands | 2.8 |
| October 2025 | 11.00 thousands | 2.8 |
| September 2025 | 11.00 thousands | 1.9 |
| August 2025 | 11.00 thousands | 1.9 |
| July 2025 | 10.90 thousands | 0.0 |
| June 2025 | 11.00 thousands | 0.0 |
| May 2025 | 10.90 thousands | −1.8 |
| April 2025 | 10.90 thousands | −2.7 |
| March 2025 | 10.80 thousands | −3.6 |
| February 2025 | 10.70 thousands | −4.5 |
| January 2025 | 10.70 thousands | −4.5 |
| December 2024 | 10.60 thousands | −7.0 |
| November 2024 | 10.70 thousands | −5.3 |
| October 2024 | 10.70 thousands | −5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-28940.PAYEMS.M.NSA.IND-32000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-28940.PAYEMS.M.NSA.IND-32000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```