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

All Employees: Non-Durable Goods — CA (statewide) (SA) was down 3.1% year on year in September 2026, compared with −2.6% in August 2026.
The level stood at 424.1 thousands.
That is the lowest reading since September 2025.
Over the past ten years it has ranged from −13.6% (Apr 2020) to 9.2% (Apr 2021), averaging −1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CA.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-ca-statewide-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 424.1 thousands | −3.1 |
| August 2026 | 428.0 thousands | −2.6 |
| July 2026 | 429.7 thousands | −2.2 |
| June 2026 | 431.3 thousands | −2.5 |
| May 2026 | 433.9 thousands | −2.3 |
| April 2026 | 435.4 thousands | −2.4 |
| March 2026 | 437.7 thousands | −2.1 |
| February 2026 | 440.0 thousands | −1.9 |
| January 2026 | 441.4 thousands | −1.6 |
| December 2025 | 441.5 thousands | −1.5 |
| November 2025 | 441.1 thousands | −1.8 |
| October 2025 | 442.4 thousands | −1.8 |
| September 2025 | 437.8 thousands | −3.3 |
| August 2025 | 439.3 thousands | −3.2 |
| July 2025 | 439.3 thousands | −3.1 |
| June 2025 | 442.5 thousands | −2.8 |
| May 2025 | 444.2 thousands | −2.5 |
| April 2025 | 446.0 thousands | −2.2 |
| March 2025 | 447.1 thousands | −2.3 |
| February 2025 | 448.4 thousands | −2.1 |
| January 2025 | 448.8 thousands | −2.7 |
| December 2024 | 448.4 thousands | −2.9 |
| November 2024 | 449.4 thousands | −2.8 |
| October 2024 | 450.4 thousands | −3.6 |

## API

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

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