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

All Employees: Non-Durable Goods — TN (statewide) (NSA) was down 4.1% year on year in September 2026, compared with −3.8% in August 2026.
The level stood at 121.1 thousands.
That is the lowest reading since June 2020.
Over the past ten years it has ranged from −8.4% (Apr 2020) to 9.1% (Apr 2021), averaging 0.2%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 121.1 thousands | −4.1 |
| August 2026 | 122.5 thousands | −3.8 |
| July 2026 | 123.4 thousands | −3.1 |
| June 2026 | 124.9 thousands | −2.4 |
| May 2026 | 124.3 thousands | −2.7 |
| April 2026 | 124.2 thousands | −3.1 |
| March 2026 | 124.7 thousands | −2.8 |
| February 2026 | 124.4 thousands | −2.9 |
| January 2026 | 124.5 thousands | −2.4 |
| December 2025 | 125.5 thousands | −2.3 |
| November 2025 | 125.7 thousands | −2.2 |
| October 2025 | 125.8 thousands | −2.1 |
| September 2025 | 126.3 thousands | −2.1 |
| August 2025 | 127.4 thousands | −1.3 |
| July 2025 | 127.4 thousands | −1.5 |
| June 2025 | 128.0 thousands | −1.5 |
| May 2025 | 127.8 thousands | −1.3 |
| April 2025 | 128.2 thousands | −1.1 |
| March 2025 | 128.3 thousands | −1.8 |
| February 2025 | 128.1 thousands | −1.6 |
| January 2025 | 127.5 thousands | −1.8 |
| December 2024 | 128.4 thousands | −1.2 |
| November 2024 | 128.5 thousands | −0.8 |
| October 2024 | 128.5 thousands | −0.3 |

## API

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

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