# All Employees: Non-Durable Goods — VA (statewide) (SA)

All Employees: Non-Durable Goods — VA (statewide) (SA) was down 1.0% year on year in September 2026, compared with −1.2% in August 2026.
The level stood at 93.30 thousands.
That is the highest reading since December 2024.
Over the past ten years it has ranged from −10.5% (May 2020) to 7.1% (May 2021), averaging −0.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-VA.PAYEMS.M.SA.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-va-statewide-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 93.30 thousands | −1.0 |
| August 2026 | 93.10 thousands | −1.2 |
| July 2026 | 92.30 thousands | −2.7 |
| June 2026 | 91.90 thousands | −3.9 |
| May 2026 | 91.60 thousands | −4.7 |
| April 2026 | 91.80 thousands | −4.9 |
| March 2026 | 91.90 thousands | −5.0 |
| February 2026 | 90.90 thousands | −6.3 |
| January 2026 | 92.40 thousands | −5.0 |
| December 2025 | 93.80 thousands | −3.9 |
| November 2025 | 94.10 thousands | −3.8 |
| October 2025 | 93.90 thousands | −4.1 |
| September 2025 | 94.20 thousands | −4.3 |
| August 2025 | 94.20 thousands | −4.5 |
| July 2025 | 94.90 thousands | −3.7 |
| June 2025 | 95.60 thousands | −3.1 |
| May 2025 | 96.10 thousands | −2.5 |
| April 2025 | 96.50 thousands | −2.1 |
| March 2025 | 96.70 thousands | −1.8 |
| February 2025 | 97.00 thousands | −1.2 |
| January 2025 | 97.30 thousands | −1.0 |
| December 2024 | 97.60 thousands | −0.7 |
| November 2024 | 97.80 thousands | −0.6 |
| October 2024 | 97.90 thousands | −0.6 |

## API

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

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