# All Employees: Goods Producing — New York City, NY (NSA)

All Employees: Goods Producing — New York City, NY (NSA) was up 0.9% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 191.3 thousands.
That is the highest reading since March 2023.
Over the past ten years it has ranged from −45.8% (Apr 2020) to 55.5% (Apr 2021), averaging −1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 191.3 thousands | 0.9 |
| August 2026 | 190.2 thousands | 0.0 |
| July 2026 | 189.6 thousands | −0.8 |
| June 2026 | 189.9 thousands | −0.9 |
| May 2026 | 189.9 thousands | −0.3 |
| April 2026 | 187.2 thousands | −1.2 |
| March 2026 | 185.5 thousands | −3.8 |
| February 2026 | 180.6 thousands | −5.1 |
| January 2026 | 183.7 thousands | −3.2 |
| December 2025 | 186.7 thousands | −4.0 |
| November 2025 | 186.5 thousands | −5.0 |
| October 2025 | 187.6 thousands | −5.1 |
| September 2025 | 189.6 thousands | −4.7 |
| August 2025 | 190.2 thousands | −4.4 |
| July 2025 | 191.1 thousands | −4.2 |
| June 2025 | 191.7 thousands | −4.2 |
| May 2025 | 190.5 thousands | −4.1 |
| April 2025 | 189.4 thousands | −4.4 |
| March 2025 | 192.9 thousands | −2.4 |
| February 2025 | 190.3 thousands | −2.7 |
| January 2025 | 189.7 thousands | −3.1 |
| December 2024 | 194.4 thousands | −2.8 |
| November 2024 | 196.4 thousands | −2.2 |
| October 2024 | 197.6 thousands | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```