# All Employees: Electronics and Appliance Retailers — NY (statewide) (NSA)

All Employees: Electronics and Appliance Retailers — NY (statewide) (NSA) was down 1.5% year on year in September 2026, compared with −1.9% in August 2026.
The level stood at 25.60 thousands.
Over the past ten years it has ranged from −17.1% (Apr 2020) to 7.4% (Jul 2022), averaging −3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NY.PAYEMS.M.NSA.IND-42449200`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-electronics-and-appliance-retailers-ny-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 25.60 thousands | −1.5 |
| August 2026 | 25.40 thousands | −1.9 |
| July 2026 | 25.50 thousands | −0.8 |
| June 2026 | 25.50 thousands | 1.2 |
| May 2026 | 25.50 thousands | 1.2 |
| April 2026 | 25.60 thousands | 1.6 |
| March 2026 | 25.60 thousands | 2.0 |
| February 2026 | 25.40 thousands | 0.8 |
| January 2026 | 25.70 thousands | 0.0 |
| December 2025 | 27.20 thousands | 4.6 |
| November 2025 | 26.80 thousands | 3.5 |
| October 2025 | 26.60 thousands | 4.3 |
| September 2025 | 26.00 thousands | 4.0 |
| August 2025 | 25.90 thousands | 4.4 |
| July 2025 | 25.70 thousands | 3.6 |
| June 2025 | 25.20 thousands | 1.6 |
| May 2025 | 25.20 thousands | 1.2 |
| April 2025 | 25.20 thousands | −1.2 |
| March 2025 | 25.10 thousands | −4.2 |
| February 2025 | 25.20 thousands | −3.8 |
| January 2025 | 25.70 thousands | −3.0 |
| December 2024 | 26.00 thousands | −3.7 |
| November 2024 | 25.90 thousands | −2.6 |
| October 2024 | 25.50 thousands | −3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-42449200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-42449200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```