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

All Employees: Non-Durable Goods — NY (statewide) (NSA) was down 1.4% year on year in September 2026, compared with −2.3% in August 2026.
The level stood at 174.7 thousands.
That is the highest reading since March 2025.
Over the past ten years it has ranged from −21.6% (Apr 2020) to 18.6% (Apr 2021), averaging −0.8%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 174.7 thousands | −1.4 |
| August 2026 | 173.7 thousands | −2.3 |
| July 2026 | 174.0 thousands | −2.4 |
| June 2026 | 174.3 thousands | −2.4 |
| May 2026 | 172.4 thousands | −2.8 |
| April 2026 | 172.0 thousands | −2.1 |
| March 2026 | 170.7 thousands | −4.0 |
| February 2026 | 170.5 thousands | −3.5 |
| January 2026 | 171.2 thousands | −2.6 |
| December 2025 | 174.9 thousands | −2.4 |
| November 2025 | 174.2 thousands | −3.2 |
| October 2025 | 174.4 thousands | −3.6 |
| September 2025 | 177.2 thousands | −2.4 |
| August 2025 | 177.7 thousands | −2.0 |
| July 2025 | 178.3 thousands | −2.4 |
| June 2025 | 178.6 thousands | −2.2 |
| May 2025 | 177.4 thousands | −1.6 |
| April 2025 | 175.6 thousands | −2.1 |
| March 2025 | 177.9 thousands | −0.7 |
| February 2025 | 176.7 thousands | −0.7 |
| January 2025 | 175.7 thousands | −0.8 |
| December 2024 | 179.2 thousands | −0.6 |
| November 2024 | 180.0 thousands | −0.4 |
| October 2024 | 181.0 thousands | −0.6 |

## API

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

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