# All Employees: Non-Durable Goods — San Jose-Sunnyvale-Santa Clara, CA (NSA)

All Employees: Non-Durable Goods — San Jose-Sunnyvale-Santa Clara, CA (NSA) was down 5.8% year on year in September 2026, compared with −5.7% in August 2026.
The level stood at 9.70 thousands.
Over the past ten years it has ranged from −29.9% (Apr 2020) to 25.0% (Jan 2022), averaging −2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41940.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-san-jose-sunnyvale-santa-clara-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 9.70 thousands | −5.8 |
| August 2026 | 9.90 thousands | −5.7 |
| July 2026 | 9.70 thousands | −4.0 |
| June 2026 | 9.70 thousands | −5.8 |
| May 2026 | 9.60 thousands | −4.0 |
| April 2026 | 9.60 thousands | −4.0 |
| March 2026 | 9.90 thousands | −2.9 |
| February 2026 | 9.90 thousands | −2.9 |
| January 2026 | 9.90 thousands | −2.9 |
| December 2025 | 10.00 thousands | −5.7 |
| November 2025 | 10.10 thousands | −5.6 |
| October 2025 | 9.80 thousands | −8.4 |
| September 2025 | 10.30 thousands | −7.2 |
| August 2025 | 10.50 thousands | −7.1 |
| July 2025 | 10.10 thousands | −7.3 |
| June 2025 | 10.30 thousands | −5.5 |
| May 2025 | 10.00 thousands | −7.4 |
| April 2025 | 10.00 thousands | −5.7 |
| March 2025 | 10.20 thousands | −2.9 |
| February 2025 | 10.20 thousands | −1.9 |
| January 2025 | 10.20 thousands | −2.9 |
| December 2024 | 10.60 thousands | 0.0 |
| November 2024 | 10.70 thousands | 0.9 |
| October 2024 | 10.70 thousands | −4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41940.PAYEMS.M.NSA.IND-32000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41940.PAYEMS.M.NSA.IND-32000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```